The Department of Artificial Intelligence and Data Science at Nitte Meenakshi Institute of Technology(NMIT), Bengaluru, a constituent college of Nitte (Deemed to be University), offers a four-year B.Tech program in Artificial Intelligence and Data Science. The program provides foundations in programming, mathematics, data science and artificial intelligence, along with learning in Machine Learning, Deep Learning and Data Analytics. Students gain practical exposure through projects, internships, industry interactions and research activities.
Quick Facts
| Particular | Details |
|---|---|
| Program | BTech in Artificial Intelligence and Data Science (AI&DS) |
| Institution | Nitte Meenakshi Institute of Technology (NMIT), Bengaluru |
| University | Nitte (Deemed to be University), Mangaluru |
| Degree | Bachelor of Technology (BTech) |
| Duration | 4 Years / 8 Semesters |
| Intake | 60 Students |
| Established | 2021 |
| Admission | NUCAT, as applicable |
| Key Areas | Artificial Intelligence, Machine Learning, Deep Learning, Generative AI & Large Language Models, Data Science & Data Analytics, Business Intelligence & Data Visualization, Natural Language Processing, Computer Vision, Predictive Analytics |
| Mode | Full-time undergraduate engineering program |
Why study BTech in Artificial Intelligence and Data Science (AI&DS) at NMIT?
BTech in Artificial Intelligence and Data Science (AI&DS) at NMIT, Bengaluru is designed for students who are interested in building intelligent, data-driven solutions for real-world problems. This program combines strong foundations in computer science, mathematics, statistics, data science and artificial intelligence with hands-on and practical exposure to emerging technologies. The AI&DS curriculum is designed to align with evolving industry requirements and emerging technological trends.
Students get opportunities to learn and work in the following areas:
- Artificial Intelligence and Machine Learning: Students learn concepts and techniques for developing, training and evaluating intelligent systems and machine learning models.
- Data Science and Analytics: Students learn to collect, organize, analyze and interpret data to generate meaningful insights and support data-driven decision-making.
- Deep Learning: Students learn deep learning techniques used to solve complex problems involving images, natural language and other types of data.
- Big Data and Data Mining: Students learn techniques to process, analyze and extract meaningful patterns and insights from large and complex datasets.
- Computer Vision: Students learn how artificial intelligence techniques can be used to process, analyze and interpret images and videos.
- Natural Language Processing (NLP): Students learn techniques that enable computers to understand, process and generate human language.
- Data Visualization and Business Intelligence: Students learn to transform data into meaningful visualizations and reports that support analysis and informed decision-making.
- Predictive Analytics: Students learn statistical and machine learning techniques to identify patterns, forecast outcomes and generate predictive insights.
After completing the program, students will be able to:
- Apply AI, Data Science, mathematics and engineering fundamentals to solve real-world problems
- Develop and evaluate machine-learning and AI-based solutions
- Analyze large datasets and extract patterns, trends and insights
- Design data-driven solutions using appropriate computational tools and technologies
- Apply AI techniques in healthcare, finance, business, smart systems and other real-world applications
- Work effectively in multidisciplinary teams and communicate technical solutions
- Pursue careers, higher education and research in Artificial Intelligence, Machine Learning, Data Science, Data Analytics and related fields
- Develop the professional, ethical and leadership skills required for lifelong learning and innovation.
Key Highlights of BTech in Artificial Intelligence and Data Science (AI&DS)
- Strong Foundation: This program provides a strong foundation in Data Science along with artificial intelligence and other related computer science disciplines.
- Industry-oriented: Industry-oriented courses, professional/open electives and mandatory industry internship provide in-depth knowledge of the industry requirements.
- Emerging Technologies: It is designed to help students learn emerging technologies such as deep learning, Big Data, data mining, computer vision, natural language processing, business analytics, social media analytics and AI/ML.
- Hands-on Approach: Students are exposed to projects, programming assignments, case studies, seminars, group activities and workshops.
- Research & Innovation: Students are also exposed to research activities, technical symposiums, publications, hackathons, etc. This helps students bring out their innovative ideas and skills.
- Industry Exposure: The department also organizes workshops, guest lectures, training programs and industry visits to keep the students updated with the current trends and relate the academic syllabus with real-world applications.
- High-end Computers: High-end computer hardware (GPU) and software facilities are available for developing skills in AI and analyzing huge datasets.
- Placement and Higher Studies: Students can also pursue higher studies or lead their career in the field of AI, Machine Learning, Data Science, Data Analytics and other related disciplines.
Vision
To create an efficient system for imparting professional education in Artificial Intelligence and Data Science employing innovative teaching and learning processes to develop solutions for the benefit of industry and society.
Mission
- M1: To Impart quality value based technical education and produce technology professionals with innovative thoughts and strong leadership skills.
- M2: To inculcate rational thinking among students for design and development of cutting-edge products by engaging with industry stakeholders to fulfil the global demands and standards.
- M3: To strengthen the core competencies in the domain of Artificial Intelligence and Data Science.
- M4: To enable the graduates to adapt to the evolving technologies through strong fundamentals and applications for lifelong learning.
- WK1: A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
- WK2: Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
- WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
- WK4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
- WK5: Knowledge, including efficient resource use, environmental impacts, whole-life cost, reuse of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
- WK6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
- WK7: Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
- WK8: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
- WK9: Ethics, inclusive behavior, and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability, etc., with mutual understanding and respect, and of inclusive attitudes.
- PSO1: To design and develop Artificial Intelligence technology into innovative products for solving real world problems.
- PSO2: To design and develop Data Science methods for analyzing massive datasets to extract insights by applying AI as a tool.
- PO1. Engineering knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
- PO2. Problem analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
- PO3. Design/development of solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
- PO4. Conduct investigations of complex problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
- PO5. Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
- PO6. The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
- PO7. Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
- PO8. Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
- PO9. Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
- PO10. Project management and finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
- PO11. Life-long learning: Recognize the need for, and have the preparation and ability for i(independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
- PEO1: Building next generation technocrats with professional knowledge and skills in Artificial intelligence (AI) and Data Science (DS) for creating innovative solutions to satisfy needs and challenges of the society.
- PEO2: Creating engineers to solve the existing challenges in managing and analyzing massive data for building software systems with Artificial Intelligence related applications.
- PEO3: Producing efficient professionals with strong ethics, moral values, good interpersonal skills, team spirit and leadership qualities for lifelong learning.
- PEO4: Ensuring graduates are employed in top notch industries, possess entrepreneur skills, or focus on higher studies.
Computing Infrastructure at AI& DS Lab
High end servers with advanced operating systems like Windows and Ubuntu are used. The workstations are installed with recent software used for building Artificial Intelligence applications and executing massive data sets. The students are trained to get a wide exposure with in depth knowledge and skills in programming languages like for C, C++ programming, Java, python for Machine learning Deep Learning Programs, R, Ruby, Rust, Go Programming, Kotlin etc.
Lab-1 (Room No:253) No. of Systems = 45| No. of Computer | Computers Model and Details | Operating System | Open-Source Software and Educational Software |
|---|---|---|---|
| 02 | GPU SERVER WORKSTATION – Processor: AMD RzenTM PRO5965WX 24Core/48T/3.8 GHz DDR4 RAM: 256 GB (3200 MT/sec) Hard Disk: 467850 GB (SSD) | Ubuntu 22.04 version | GCC 11.4 version, G++ 11.4 version, Java 11, Eclipse2024-03, Anaconda Distribution 2023.09, Jet brains Toolbox 2.1.1.18388, R programming 4.1.2, Mat Lab 2024A, V S code 1.90.0 |
| 42 | AMWIN DESKTOP SYSTEM Processor: Intel Core i7, 12th Gen Intel® Core (TM) i7-12700 Processor Speed: 2.1 GHz to 4.9 GHz DDR4 RAM:16 GB (3200 MHz) Hard Disk: 1TB (SSD) | Windows 11 Pro version & Ubuntu 24.04v | GCC 11.4 version, G++ 11.4 version, Java 11, Eclipse2024-03, Anaconda Distribution 2023.09, Jet brains Toolbox 2.1.1.18388, R programming 4.1.2, Mat Lab 2024A, V S code 1.90.0, MySql 8.4.0 PHP 8.3.6, Altair Rapid miner Studio, Open refine |
| 01 | AMWIN DESKTOP SYSTEM Processor: Intel Core i7, 12th Gen Intel® Core (TM) i7-12700 Processor Speed: 2.1 GHz to 4.9 GHz DDR4 RAM:64 GB (3200 MHz) Hard Disk: 1TB (SSD) | Windows 11 Pro version & Ubuntu 24.04v | GCC 11.4 version, G++ 11.4 version, Java 11, Eclipse2024-03, Anaconda Distribution 2023.09, Jet brains Toolbox 2.1.1.18388, R programming 4.1.2, Mat Lab 2024A, V S code 1.90.0, MySql 8.4.0 PHP 8.3.6, Altair Rapid miner Studio, Open refine |
| 01 | UN INTERRUPTED POWER SUPPLY Switcher 15KVA Online UPS system Model: 15KVA NL 153BH | ||
| 01 | PROJECTOR WITH SCREEN MODEL NO: EB-E01 | ||
| 01 | PRINTER: LASERJET PRO MFP M126A Print: White and Black Print |
| No. of Computer | Computers Model and Details | Operating System | Open-Source Software and Educational Software |
|---|---|---|---|
| 40 | DELL Precision 3660 Tower Intel® Core™ I9-13900K,13 Gen, 24 Core, Processor Speed: 3 GHz to 5.8 GHz, DDR5 RAM: 32GB, HARDISK: 1 TB (SSD) | Windows 11 Pro version & Ubuntu 24.04v & Rocky Linux 9.3v | GCC 11.4 version, G++ 11.4 version, Java 11, Eclipse2024-03, Anaconda Distribution 2023.09, Jet brains Toolbox 2.1.1.18388, R programming 4.1.2, Mat Lab 2024A, V S code 1.90.0, MySql 8.4.0 PHP 8.3.6, Altair Rapid miner Studio Open refine |
| 01 | AMWIN DESKTOP SYSTEM Processor: Intel Core i7,12th Gen Intel® Core (TM) i7-12700 Processor Speed: 2.1 GHZ to 4.9 GHZ, DDR4 RAM:64 GB (3200 MHz), Hard Disk :1TB (SSD) | Windows 11 Pro version & Ubuntu 24.04v | GCC 11.4 version, G++ 11.4 version, Java 11, Eclipse2024-03, Anaconda Distribution 2023.09, Jet brains Toolbox 2.1.1.18388, R programming 4.1.2, Mat Lab 2024A, V S code 1.90.0, MySql 8.4.0, PHP 8.3.6, Altair Rapid miner Studio Open refine |
| 01 | SMART BOARD: ACCUTOUCH IFP 86”, Processor: Intel Core i5 OPS, HARDISK: 250 GB (SSD), HARDISK: 1TB, DDR4 RAM: 8 GB | Windows 10 Pro version & Ubuntu 24.04v | GCC 11.4 version, G++ 11.4 version, Java 11, Eclipse 2024-03, Anaconda Distribution 2023.09, Jet brains Toolbox 2.1.1.18388, R programming 4.1.2, Mat Lab 2024A, V S code 1.90.0, MySql 8.4.0, PHP 8.3.6, |
| 01 | SMART BOARD: ACCUTOUCH IFP 75”, Processor: Intel Core i5 OPS, HARDISK: 250 GB (SSD), HARDISK: 1TB, DDR4 RAM: 8 GB | Windows 10 Pro version & Ubuntu 24.04v | GCC 11.4 version, G++ 11.4 version, Java 11, Eclipse2024-03, Anaconda Distribution 2023.09, Jet brains Toolbox 2.1.1.18388, R programming 4.1.2, Mat Lab 2024A, V S code 1.90.0, MySql 8.4.0 PHP 8.3.6 |
| 01 | UPS- SWITCHER 20KVA, NL-203BI ONLINE UPS SYSTEM |
Board of Studies (BOS)
| Name | Description | Designation |
|---|---|---|
| Dr. Sudhakar K | Associate Professor & Head | Chairperson |
| Dr. Vadivel Ayyasamy | Professor & Head / AI & DS, GITAM University, Bengaluru | VTU-Nominee |
| Dr. Anusha Preetham | Associate Professor/ AI&ML, BNMIT, Bengaluru | Member- Academics |
| Dr. Girish N | Quality Analyst, Atkinsrealis, Bengaluru | Member-Industry |
| Dr. S Meenakshi Sundaram | Professor & Head / CSE | Member-Secretary |
| Mrs. Meenakshi | Asst. Professor | Member Secretary |
| Mr. R Palanivel | Asst. Professor | Member |
| Mrs. Sowmya M | Asst. Professor | Member |
| Mrs. Anu D | Asst. Professor | Member |
| Mr. Debarshi Mazumder | Asst. Professor | Member |
| Ms. Sangeetha S Harikantra | Asst. Professor | Member |
| Ms. Nayana B P | Asst. Professor | Member |
| Mrs. Rajeshwari Patil | Asst. Professor | Member |
Board of examiners (BOE)
| Name | Description | Designation |
|---|---|---|
| Dr. Sudhakar K | Associate Professor & Head | Chairperson |
| Ms. Nayana B P | Asst. Professor | Member Secretary |
| Dr. Meenakshi | Asst. Professor, AI & DS | Member |
| Mr. R Palanivel | Asst. Professor | Member |
| Mrs. Sowmya M | Asst. Professor | Member |
| Mrs. Anu D | Asst. Professor | Member |
| Ms. Sangeetha S Harikantra | Asst. Professor | Member |
| Mrs. Rajeshwari Patil | Asst. Professor | Member |
| Dr. Rubini P | Professor & Head / CSE, CMR University, Bangalore | Member (External) |
| Dr. Sarojadevi H | Professor, CSE | Member (I) |
| Dr. Vani V | Professor, CSE | Member (I) |
| Dr. Chaitra H V | Assoc. Professor, CSE | Member (I) |
| Ms. Archana Naik | Assoc. Professor, CSE | Member (I) |
| Dr. Dileep Reddy Bolla | Assoc. Professor, CSE | Member (I) |
| Dr. Nagaratna P | Assoc. Professor, CSE | Member (I) |
| Dr. Manjula | Asst. Professor | Member (I) |
Department Undergraduate Committee (DUGC)
| Name | Description | Role |
|---|---|---|
| Dr. Sudhakar K | Associate Professor & Head | Chairman |
| Mr. R Palanivel | Asst. Professor | Member Secretary |
| Dr. Meenakshi | Asst. Professor | Member |
| Mrs. Sowmya M | Asst. Professor | Member |
| Mrs. Anu D | Asst. Professor | Member |
| Mr. Debarshi Mazumder | Asst. Professor | Member |
| Ms. Sangeetha S Harikantra | Asst. Professor | Member |
| Ms. Nayana B P | Asst. Professor | Member |
| Mrs. Rajeshwari Patil | Asst. Professor | Member |
Effective and Innovative Delivery Methods
| Types of Activity | Purpose / Description |
|---|---|
| Quiz | Traditional assessment methods and tools often demand extensive preparation and can be stressful for students. To create a more enjoyable learning experience while effectively assessing students' knowledge, quizzes serve as a valuable informal assessment tool. This activity not only fosters a joyful learning environment but also evaluates the concepts learned, offers a quick review or recap, enhances concentration and time management, and boosts confidence. |
| Group / Individual Writing Assignments | In group assignments, students are initially requested to create groups of friends well in advance of the semester. Subsequently, pupils were assigned the predetermined assignment subjects at random. Students must comprehend the basic outline of the assigned chapter-end assignment themes and gather knowledge from a variety of sources, including textbooks and online resources like blogs and research journals, while working in groups of three to four. The reports were graded based on the breadth and technical importance of the data gathered, logical flow, material preparation and presentation, and creativity. |
| Programming Assignment | In a programming assignment, students must implement a solution to a given problem. The aim of these assignments is to help students develop the skill of writing programs that incorporate concepts taught in class. Programming assignments can be completed either independently or collaboratively. |
| Simulation-based Assignment | A simulation-based assignment incorporates serious games, tools, and simulation software into the teaching and learning process. Students must use appropriate software tools to tackle the problem set by the teachers and present the simulation. |
| GATE-based Questions | Students can use this exercise to help them get ready for competitive tests like the GATE. GATE and other competitive exam questions are carefully chosen to challenge learners to find the answer. |
| Surprise Test | Students can use this exercise to help them get ready for competitive tests like the GATE. GATE and other competitive exam questions are carefully chosen to challenge learners to find the answer. |
| Project-Based Learning | The curriculum's project-based learning frameworks typically push students to work on discrete projects that include teamwork, research, logical deduction, multi-step problem solving, and iterative learning. |
| Case Study | Students are helped in practically applying theory concepts through the use of the Case Study approach. This approach gives the syllabus material a more realistic feel, which encourages student participation in the curriculum. Students actively participate by comprehending and putting concepts to practical use, and it also gives them the opportunity to pursue higher education. |
| Flipped Classroom | Through blended learning, students are given pre-assigned topics to discuss during class. The assigned student presents the topic, the teacher provides additional context, and other students share their perspectives on it. |
| Video-Based Learning (NPTEL) | The goal of the National Programme on Technology Enhanced Learning (NPTEL) is to enhance the quality of engineering and science education in the country. It achieves this by developing content for undergraduate and postgraduate curricula through video and web-based courses. The NPTEL courses are available as program electives in our curriculum. |
| Talk by Industry/ Academic Experts | Industry professionals have the power to inspire students to reflect, explore, use the information they learn, and pursue a lifetime learning goal. Experts from various disciplines expose students to a range of employment options and interview techniques, enhancing the practices and expertise of both students and teachers. |
| Methods | Course Title | Proof |
|---|---|---|
| Quiz | 1. Artificial Intelligence 2. Machine Learning |
Artificial Intelligence - Click here Machine Learning - Click here |
| Assignment | 1. Database Management Systems 2. Big Data Analytics |
Database Management Systems - Click here Big Data Analytics - Click here |
| Surprise Test | 1. Cognitive Systems | Cognitive Systems - Click here |
| Flipped Classroom | 1. Design and Analysis of Algorithm | Design and Analysis of Algorithm - Click here |
| Project Based Learning / Collaborative Learning | 1. Machine Learning | Machine Learning - Click here |
| Programming Assignment | 1. Big Data Analytics | Big Data Analytics - Click here |
| Case Study | 1. Principles of Data Science 2. Cybersecurity Ethics and LAWS |
Principles of Data Science - Click here Cybersecurity Ethics and LAWS - Click here |
| Seminar | 1. Artificial Neural Networks & Deep Learning | Artificial Neural Networks & Deep Learning - Click here |
| Guest Lecture / Invited Talk | 1. Principles of Data Science | Principles of Data Science - Click here |
Curriculum Highlights
To overcome the limitations of the conventional classroom teaching, LMS can be invaluable for the education sector as it enables sharing of the learning resources of all the courses at a single place and gives the privilege of accessing content anytime and anywhere.
FOLLOWING ARE THE OBJECTIVES OF ADOPTING LMS IN LEARNING PRACTICES:
- To share the learning resources of all the courses at a single place
- To give the privilege of accessing content anytime and anywhere
- To make learning effective
- To create online test/quiz/assignments
- To monitor and communicate students’ progress online.
- To encourage communication between student and teacher in forums and discussions.
- To ease the process of evaluation and feedback.
Using LMS teacher can
- share learning material/resources to the class
- Schedules and conducts theory/practical sessions, Quiz, Assignment, tests etc.
- Give project/activity/case study/survey-based assignments to students.
Following is the some of the proofs for using LMS in learning practices
- Shared teaching material of the subject Principles of Data Science through LMS.
- Teachers also shares the teaching material through GitHub and encourage students to use the GitHub.
Following are some courses have encouraged for NPTEL / Coursera – Video based Learning NPTEL course-based learning
The department has offered the NPTEL elective courses for students. Students can register for the NPTEL course. The course assessments are evaluated based on the assignment submission and the final course evaluation is computed based on the score obtained by the students in NPTEL written exam.
Following courses are offered for the students as 6th semester program electives
| Course Title |
| Cognitive Systems |
| Predictive Analytics |
| Data Analytics with Python |
Following courses are offered for the students as 5th semester program electives
| Course Title |
| Organizational Behavior |
| Psychology of Learning |
| Strategic Management for Competitive Advantage |
| Human Resource Development |
| The Joy of Computing using Python |
Basic Eligibility
Pass in Class 12 or equivalent examination with not less than 50% aggregate marks in Physics, Mathematics and any one of Chemistry, Biology, Biotechnology, Computer Science, Electronics or Information Technology, with English as one of the languages of study, from a recognized Board.
Entrance Exam Requirement
- Aspirants for joining BTech in Artificial Intelligence and Data Science (AI&DS) at NMIT are required to appear for an Entrance Test - Nitte University Common Admission Test (NUCAT).
- NUCAT is a 120-minute online entrance test covering Physics, Chemistry & Mathematics, with 40 marks per subject. Seats will be allotted based on rank during in-person counselling.
Admission Process
- Register online at apply.nitte.edu.in and upload the required documents (Class 10 & Class 11/12 marks cards, photo and signature).
- Pay the application fee and submit the application form.
- Book your NUCAT exam slot - Phase 1 (February), Phase 2 (April) or Phase 3 (May).
- Download and print the admit card.
- Write the NUCAT exam at the chosen centre or from home (equipped with technical requirements).
- Check the results on the portal on the announced date.
- Attend counselling at either Bengaluru campus or Nitte (Karkala) campus, based on ranking.
- Choose the preferred branch during in-person counselling.
- Avail scholarships, if eligible, based on NUCAT score, PCM marks, income criteria, or sports achievements.
Application Deadlines and Important Dates
Details of the deadlines and important dates with respect to the admission process are available at the official NUCAT website.
Fee Structure
The fee structure for BTech and other programs is available through the official Nitte fee structure page.
Candidates should refer to the latest fee information applicable to their admission category and academic year.
Curriculum Highlights
BTech in AI&DS curriculum combines computer science, mathematics, statistics and programming fundamentals with specialized knowledge of AI, ML, data science, deep learning, big data analytics, computer vision, natural language processing, predictive analytics and data visualization. The goal of the curriculum is to give students an opportunity to learn from practical applications of their knowledge in industry and to create smart and data-driven solutions for solving real-life problems.
Program Structure
- Years 1-2: Engineering and computing fundamentals, mathematics, statistics, programming, data structures and algorithms, database management systems, computer organization, operating systems, data science fundamentals and exploratory data analysis.
- Years 3-4: Artificial intelligence and machine learning, deep learning, big data analytics, computer vision, natural language processing, predictive analytics, data visualization, advanced AI and Data Science electives, industry internship, research/innovation activities and projects.
Key Subjects & Specialization Areas
- Programming & Computing: Python Programming, Object-Oriented Programming with Java, Data Structures & Algorithms, Database Management Systems and Operating Systems.
- Mathematics & Statistics: Probability, Statistics, Linear Algebra, Optimization and Mathematical Foundations for AI.
- Data Science & Analytics: Data Wrangling, Exploratory Data Analysis, Data Mining, Statistical Analysis and Data Visualization.
- Artificial Intelligence & Machine Learning: Machine Learning, Deep Learning and Predictive Analytics.
- Big Data Technologies: Big Data Analytics, Data Engineering, Distributed Computing and Cloud-based Data Processing.
- Computer Vision: Image Processing, Pattern Recognition, Object Detection and AI-based Image/Video Analytics.
- Natural Language Processing: Text Analytics, Speech Processing, Language Models and Generative AI.
- Business Intelligence: Data Visualization, Business Analytics, Decision Support Systems and Data-driven Decision Making.
- Emerging AI Technologies: Generative AI, Large Language Models (LLMs), Explainable AI (XAI) and Responsible AI.
- Application Domains: AI and Data Science applications in healthcare, finance, business, smart cities, IoT and other real-world domains.
- Industry & Project Learning: Industry internship, hands-on projects, research, hackathons, capstone projects and innovation activities.
Practical Training, Labs & Projects
Students receive practical exposure through laboratories and project-based learning in areas such as:
- Programming & Computing Labs: Hands-on practice in Python, programming fundamentals, data structures, algorithms and database management.
- Data Science & Analytics Labs: Data collection, data preprocessing, exploratory data analysis, statistical analysis, data visualization and predictive analytics.
- Machine Learning Lab: Implementation of supervised and unsupervised learning algorithms using real-world datasets.
- Deep Learning Lab: Practical applications of neural networks, CNNs, RNNs and other deep-learning techniques.
- Big Data Lab: Practical work involving large datasets, data processing, analytics and scalable computing technologies.
- AI & Generative AI Projects: Hands-on exposure to Artificial Intelligence, Generative AI, NLP, Large Language Models and intelligent applications.
- Computer Vision Projects: Image processing, classification, object detection and AI-based image/video analysis.
- Industry-Oriented Projects: Students work on real-world problems through case studies, industry interactions, internships and application-oriented projects.
- Research & Innovation Projects: Opportunities to undertake research projects, participate in hackathons, technical competitions and innovation activities.
- Final Year Project: Final-year multidisciplinary projects integrating AI, Data Science, Machine Learning and domain knowledge to develop an end-to-end real-world solution.
- Internship & Experiential Learning: Industry internship and practical exposure help students understand professional workflows and apply classroom knowledge to real-world challenges.
Click the link below to download the curriculum:
| VTU (AY 2023-27 & AY 2024-28) | Nitte DU (AY 2025-29) | Nitte DU (AY 2026-30) |
Faculty
Labs, Equipment & Infrastructure
Department of AI&DS is equipped with cutting-edge computing facilities for AI, ML, DL, Data Science, programming and Big Data processing. The laboratories enable students to use standard hardware, Operating Systems, developer environments and analytical tools typically used in industry.
Facilities include:
- High-Performance Computing: Two dedicated high-performance GPU server workstations with AMD Ryzen PRO 24-core/48-thread processors, 256 GB RAM and high-capacity SSD storage support.
- Modern Computer Laboratories: with 45 high-performance GPU-enabled desktop systems and 41 high-performance GPU-enabled desktop systems.
- Multiple Operating Systems: The laboratories provide Windows 11 Pro, Ubuntu 24.04, Ubuntu 22.04 and Rocky Linux 9.3, giving students exposure to diverse computing environments.
- Programming & Development Environment: Students can gain practical experience with C, C++, Java, Python, R, MATLAB, PHP and other programming technologies, supported by GCC, G++, Eclipse, Anaconda, JetBrains Toolbox and Visual Studio Code.
- AI, Data Science & Analytics Software: The labs are equipped with Anaconda, R, MATLAB, Altair RapidMiner Studio and OpenRefine, supporting Machine Learning, Data Science, statistical analysis, data preprocessing and analytics.
- Database & Web Technologies: MySQL 8.4 and PHP are available for database management, application development and data-driven projects.
- Smart Teaching Infrastructure: Lab-2 is equipped with 86-inch and 75-inch AccuTouch Smart Boards, supporting interactive demonstrations, programming instruction and collaborative learning.
- Power Backup & Reliability: Dedicated 15 KVA and 20 KVA online UPS systems provide reliable power support for laboratory infrastructure.
The infrastructure enables students to undertake AI/ML projects, Deep Learning experiments, Big Data processing, data analytics, computer vision, NLP, predictive analytics and real-world capstone projects.
Library Resources & Digital Tools
AI&DS students can access library resources such as textbooks, research journals, e-books and online databases. These materials facilitate academic learning, technological projects, research and independent study.
The program offers training in many different aspects of Artificial Intelligence and Data Science and opens doors to various career opportunities for graduates.
AI&DS graduates can explore roles such as:
- Artificial Intelligence Engineer: Designs and develops intelligent systems and AI-powered applications.
- Machine Learning Engineer: Builds, trains, evaluates and deploys Machine Learning models for targeted applications.
- Data Scientist: Analyses datasets and develops predictive solutions.
- Data Analyst: Extracts information from data to help make business decisions.
- Data Engineer: Designs data pipelines and infrastructure to collect, process and manage data.
- Deep Learning Engineer: Designs deep learning solutions for targeted applications.
- NLP Engineer: Builds applications involving text, speech and human language understanding.
- Business/Data Intelligence Analyst: Uses analytics and visualization to drive business decisions.
- Entrepreneurship: Builds AI and data-driven products, platforms and technology start-ups.
Higher Education & Research
After completing BTech in AI&DS, students can pursue higher education and research in areas such as:
- MTech/ME in AI&DS and related areas.
- MS Programs: Specialized in AI, Data Science and related fields in India and abroad.
- MBA & Business Analytics: Students can pursue an MBA with Business Analytics, Digital Transformation, or related specializations.
- Research Projects & Publications: Students can participate in faculty-led research projects, technical projects, conferences, journals, workshops and innovation activities.
- International Research Exposure: Opportunities to explore higher education, research collaborations, exchange programs and internships at universities and research institutions abroad.
- Research & Innovation: Graduates can progress towards careers as AI Researchers, Data Scientists, ML Researchers, Research Engineers and R&D Professionals.
Research
Thrust Areas of Research
| Faculty | Research Area |
| Dr. Lakshmana | Image Processing, Computer Vision, Machine Learning, Data Science, Artificial Intelligence, Software Engineering |
| Dr. Archana Mathur | Machine Learning, Deep Learning Modeling |
| Dr. R Vadivel | Cloud Computing, Machine Learning, Data Science |
| Dr. Sudhakar K | Machine Learning, Internet of Things, Data Analytics |
| Dr. Meenakshi | Deep Learning, Cyber Security, Machine learning |
Research Supervisors
| Name | Research Area | University |
| Dr. Sudhakar K | Machine Learning, Internet of Things, Deep Learning | Nitte (Deemed to be University), Visvesvaraya Technological University |
| Dr. Archana Mathur | Machine Learning, Deep Learning, Chaos Theory, Swarm Intelligence | Nitte (Deemed to be University), Visvesvaraya Technological University, University of Rwanda (Africa) |
| Dr. R Vadivel | Cloud Computing, Artificial Intelligence, Computer Networks | Nitte (Deemed to be University), Visvesvaraya Technological University |
| Dr. Meenakshi | Deep learning, Machine Learning, Cyber Security | Nitte (Deemed to be University), Visvesvaraya Technological University |
Patents
2025-26
| Assignee/s Name | Patent Title | Application Number | Date of Filing of Application | Status |
|---|---|---|---|---|
| Dr. R. Vadivel | IoT-Based Device for Food Nutrition Assessment | 506909-001 | 24/07/2026 | Granted |
| Dr. R. Vadivel | An Analysis on the Study of Applications in AI Finance | 202641093560 | 02/08/2026 | Published |
| Dr. Sowmya M | Intelligent IoT and Graph Theory-Based Drone Navigation System for Automated Doorstep Medicine Delivery | 202621074399 | 16/06/2026 | Granted |
| Dr. Sudhakar K | Digital Computing Device for CSE Education and Innovation. | 491062-001 | 13/02/2026 | Granted |
| Dr. Sudhakar K | Blockchain-Enabled Secure Data Sharing System with Tamper-Proof Access Control | 202621062277 | 16/05/2026 | Published |
| Dr. Sudhakar K | A Multimodal Framework for Real-Time Affective Computing | 202641051258 | 22/04/2026 | Published |
| Dr. Sudhakar K | ZAYKA: The Homely Cravings – A Synthesized AI-Powered Platform for The Cultural Creator Economy in Food | 202641051257 | 22/04/2026 | Published |
| Dr. Vadivel R | AI Based Device for Drug Discovery Stimulations | 491519-001 | 18/02/2026 | Filed |
| Mr. Palanivel R | Machine Learning–Driven Pedagogy-Aware Quality Assurance System For Outcome-Based Education In Higher Education | 202621017995 | 18/02/2026 | Filed |
| Mr. Palanivel R | AI-based Ancient Document Scanner | 491583-001 | 18/02/2026 | Filed |
| Dr. Sudhakar K | Design and Implementation of an IoT-Based Smart Home Automation System | 202541133556 | 19/01/2026 | Published |
| Dr. Lakshmana & Anu D | Enhancing Solar Ups Reliability Through Ai-Driven Failure Detection Using Xgboost | 202541130088 | 02/01/2026 | Published |
| Dr. Sudhakar K, Dr. Vadivel R | Framework for Automating Web Apps | 202541078494 | 19/08/2025 | Published |
| Assignee/s Name | Patent Title | Application Number | Date of Filing of Application | Status |
|---|---|---|---|---|
| Dr. Sudhakar K | Inspiring Mental Health Analysis Chatbot | 202541044625 | 30/05/2025 | Published |
| Dr. Sudhakar K, Dr. Vadivel R | Forecasting the Impact of Genetic Variations to Facilitate Customized Treatment | 202541044419 | 30/05/2025 | Published |
| Dr. Sudhakar K, Dr. Vadivel R, Debarshi Mazumder | Distributed Blockchain-Based Data Security Framework to Prevent Cyberattacks on Contemporary Power Systems | 202541044418 | 30/05/2025 | Published |
| Dr. Sudhakar K | Semantic Web Interfacing Device | 449030-001 | 20.02.2024 | Granted |
| Dr. Sudhakar K | AI Enabled Attendance Monitoring System Using Facial Recognition and MTCNN | 202541001707A | 24.01.2025 | Published |
| Dr. Sudhakar K | Identifying Plant Diseases and Determining Fruit Size and Maturity | 202541001704A | 24.01.2025 | Published |
| Dr. Sudhakar K | An Effective Car Price Prediction Approach Based on Hyperparameter Optimized K-Nearest Neighbours Regression | 202541001702A | 17.01.2025 | Published |
| Dr. Sudhakar K | Additive Manufacturing Device | 415843-001 | 03.05.2024 | Granted |
| Dr. Sudhakar K, Dr. Vadivel R | CGAN-Based Image-to-Image Translation | 202541001705A | 17.01.2025 | Published |
| Dr. Vadivel R | AI Based English Pronunciation Training Device | 434842-001 | 06.01.2025 | Granted |
| Dr. Sudhakar K and Dr. Vadivel R | System for Optimizing Neural Network Activation through Adaptive Functional Units | 20 2024 105 609 | 28.09.2024 | Granted |
| Dr. Sudhakar K and Dr. Vadivel R | Machine Learning-Based System for Securing Industrial IoT Environments | 20 2024 105 496 | 24.09.2024 | Granted |
| Assignee/s Name | Patent Title | Application Number | Date of Filing of Application | Status |
|---|---|---|---|---|
| Dr. Sudhakar K | UPI Fraud Detection Device | 6379347 | 19.07.2024 | Granted |
| Dr. Sudhakar K | IoT based device for skin cancer detection | 6378530 | 16.07.2024 | Granted |
| Dr. Meenakshi | Business Management Framework for Pancreatic Cancer Detection Utilizing Integrated Data Analytics With ResuNet, DenseNet, RNNs, NLP, And Cloud-Based Solutions In Healthcare And Education | 202411052975 | 11.07.2024 | Published |
| Dr. Sudhakar K | Solid Waste Recycling Monitoring Device Using IoT | 202441036944 A | 10.05.2024 | Published |
| Dr. Sudhakar K | Additive Manufacturing Device | 415843-001 | 03.05.2024 | Granted |
| Dr. Sudhakar K, Mrs. Rajeshwari Patil, Ms. Anu D, Mrs. Sangeetha Suresh Harikantra, Mr. Debarshi Mazumder, Ms. Sowmya M | Block-chain Based Memory Device with Display | 417814-001 | 23.05.2024 | Granted |
| Mr. Debarshi Mazumder | An Intelligent System and Method for Predicting Soil Properties Using Back Propagation Neural Networks | 202331084926 | 13.12.2023 | Published |
| Sowmya M | Optimization of Cross Layer Design for Interaction Between Layers and Channel Utilization for Data Transmission in UWSN | 202341043585 | 22.09.2023 | Published |
Journal Publication
Conference Publications
Book/ Book Chapters
| Year | Download PDF |
|---|---|
| 2025-26 | Download |
| 2024-25 | Download |
| 2023-24 | Download |
| Year | Download PDF |
|---|---|
| 2025-26 | Download |
| 2024-25 | Download |
| 2023-24 | Download |
2025-26
| Name of the Author | Title of the Book / Book Chapter | Name of the Publisher |
|---|---|---|
| Dr. Sowmya M | Intelligent Traffic Flow Prediction Using IoT, Cloud Computing, and Artificial Intelligence | BR Publications |
| Mr. Palanivel R | AI and IoT for Disease Diagnosis and Early Prediction | BR Publications |
2024-25
| Name of the Author | Title of the Book / Book Chapter | Name of the Publisher |
|---|---|---|
| Dr. Sudhakar K | Exploring the Potential of Augmented and Virtual Reality for Patient Care and Medical Innovation | Springer Nature |
| Dr. Sudhakar K | Internet of Things-Based Wheat Disease Detection and Prediction Using Wasserstein Generative Adversarial Network with Gradient Penalty | Springer Nature |
| Dr. Sudhakar K, Mr. Debarshi Mazumder | Revolutionizing Communication Protocols Through IoT Enabled Devices Managed by Brain- Computer Interfaces | IGI Global Publisher |
| Dr. Sudhakar K | Optimizing Device Performance with BCIs: A User - Centric Approach to Brain Data Privacy | IGI Global Publisher |
| Dr. Sudhakar K, Dr. Vadivel R | Deep Learning-Based Multi-Sensor Fusion for Safe and Efficient Autonomous Vehicle Operations in IoT Enabled Smart Cities | IGI Global Publisher |
| Dr. Sudhakar K | NLP Voice Assistance for IoT Autonomous Vehicles Using ML Algorithms for Seamless Navigation | IGI Global Publisher |
| Dr. Meenakshi | Predictive Analytics for Urban Development Using ML Technique | IGI Global Scientific Publishing |
| Ms. Pavithra S | Artificial Intelligence in Engineering: A comprehensive overview | |
| Dr. Sudhakar K | AI and Big Data: A Synergistic Approach to Modern Challenges | Leilani Katie Publication and Press, India |
| Dr. Sudhakar K and Dr. Vadivel R | Intelligent Systems: Bridging Machine Learning, Deep Learning and Natural Language Processing | Leilani Katie Publication and Press, India. |
| Dr. Vadivel R | Quantum Machine Learning Overview Techniques Algorithms and Applications | RADemics Research Institute. |
| Dr. Sudhakar K | Data Science with R Programming Basics | SK Research Group of Companies, India. ISBN:978-93-6492-279-1 |
| Dr. Meenakshi | Hands-on Data Science in R | Clever Fox Publishing, ISBN 9789367078310 |
2023-24
| Name of the Author | Title of Book Chapter | Name of the publisher |
|---|---|---|
| Dr. Sudhakar K, Mrs. Sangeetha Suresh Harikantra, Ms. Anu D, Mrs. Rajeswari Patil | Modern Data Science with Python: Techniques and Applications | Leilani Katie Publication and Press, India. ISBN: 978-93-6348-102-2 |
| Dr. Sudhakar K, Mr. Debarshi Mazumder | Big Data Analytics: From Data to Discovery | Leilani Katie Publication and Press, India. ISBN: 978-93-6348-658-4 |
| Dr. Tejaswini R Murgod & Dr. S Meenakshi Sundaram | IOT and AI Integrated Blockchain Security | Cambridge Scholars Publishing, United Kingdom |
Enrichment
2025-26
| Title | Type of Training | Date with Duration | Organized by | Funding Agency | External Expert and their affiliation |
|---|---|---|---|---|---|
| 3-Day Workshop on Natural Language Processing | Workshop | 18.08.2026 | Dept of AI & DS, NMIT | NMIT association with IEEE WIE and Augmentix | Harsha K, Analytics & AI/ML Transformation Leader, Risk Info.ai. Neelesh Singh, Risk & Analytics Leader, Risk Info.ai. |
| Unlocking Growth: The Power of Business Development Strategies | Seminar | 08.05.2026 | Dept of AI & DS, NMIT | NMIT | Dr. Dharmanand M, Deputy-Head Academic Section, Associate Professor, MBA, NMIT. |
| Two-Day Java Workshop | Workshops | 23.03.2026 | Dept of AI & DS, NMIT | NMIT |
Mr. Dhatvik Mp, Hewlett Packard Enterprise. Ms. A Nidhi Uday, Cloud Developer at Hewlett Packard Enterprise |
| Building Smarter AI Agents with Memory & Context | Technical Talk | 23.03.2026 | Dept of AI & DS, NMIT | NMIT | Anshul Singh, AI Engineer, Sanketh Gadadinni, Senior AI Engineer, MathCo. |
| TECHNICAL TALKS - 2026 | Technical Talk | 06.03.2026 | Dept of AI & DS, NMIT, in association with IEEE Computer Society Bangalore Chapter | NMIT | Dr. Nithin Nagaraj, Professor and Head, Complex System Programme, National Institute of Advanced Studies (NIAS), IISc. Campus, Bengaluru. Dr. Dilip Kumar Dalei, Scientist, Centre for Artificial Intelligence and Robotics (CAIR), DRDO, Bengaluru. |
| IEEE Computer Society Annual General Meeting and Investiture Ceremony | Technical Talk | 17.02.2026 | Dept of AI & DS, NMIT, in association with IEEE Computer Society Student Branch Chapter | NMIT | Ms. Ambika J, Director of AI, Finastra IEEE Senior Member, Executive Committee Member, IEEE Computer Society Bangalore Chapter, Bangalore. |
| Using Deep Learning and Image Processing Techniques for Plant Disease Detection in a Smart Agricultural Environment | Seminars | 04.11.2025 | Dept of AI & DS, NMIT | NMIT | Mohamed Rawidean Mohd. Kassim, Researcher, MIMOS (Ministry of Science, Technology & Innovation), Malaysia and IEEE Region-10 Coordinator |
| Recent Advances & Emerging Trends & Applications in Robotics and Automation. | FDP | 01.09.2025 – 06.09.2025 | Dept of AI & DS, NMIT | NMIT | Dr. Kiran M, Assistant Professor, Department of Information Technology, NITK. Dr. Mervin Joe Thomas, Assistant Professor, Department of Mechanical Engineering, NITK Dr. Dreelekha, Assistant Professor, Texas A&M University-Corpus Christi, Texas, USA. Mr. Bhimesh Deshpande, Philips R&D Program Leader, Interoperability & Informatics, Bengaluru, India. Mr. Muruli L R, Senior Cloud Developer, HP Enterprise, Bengaluru, India. Mr. Omprakash M, Principal Data Engineer, Anteriad, Bengaluru, India. Dr. S M Mallikarjunaiah, Associate Professor, Texas A&M University-Corpus Christi, Texas, USA. |
| The Next Generation of Cybersecurity Hack the Future | workshop | 18.09.2025 | Dept of AI & DS, NMIT | NMIT | Mr. Sathiyan S, Threat researcher – K7 Computing Pvt Ltd, Chennai |
| Speak to Machines with NLP: Driving Innovation in Human–Machine Interaction | workshop | 28.08.2025 – 30.08.2025 | Dept of AI & DS, NMIT | NMIT | Mohammed Ameenul Hasan, Software Engineer 2, Cisco, Bengaluru. |
| Driving Innovation in Cold Chain Logistics The Impact of AI, ML, and Data Science on Transportation Refrigeration. | SEMINAR | 29.08.2025 | Dept of AI & DS, NMIT | NMIT | Mr. Gautam Peri, Lead Data Scientist, Trane Technologies Bangalore |
| Venture Capital: Catalyzing Growth for Early-Stage Entrepreneurs | SEMINAR | 23.08.2025 | Dept of AI & DS, NMIT | NMIT | Dr. Pavankumar G. Kulkarni, Assistant Professor, Department of MBA, NMIT, Nitte (Deemed to be University), Bengaluru. |
| Title | Type of Training | Date with Duration | Organized by | Funding Agency | External Expert and their affiliation |
|---|---|---|---|---|---|
| Mastering the Depths of ML & DL: From Core Architectures to Generative Intelligence | FDP | 21.06.2025 - 25.06.2025 | Department of AI & DS | NMIT | Dr. Saroj Kumar Meher, Professor, Indian Statistical Institute, Bangalore Centre Dr. Subhrajit Bhattacharya, Professor, NMIT Bengaluru Dr. Nithin Nagaraj, Head - Complex Systems Programme, NIAS, IISc Campus Mr. Joel D Joy, Data Scientist 1, IISc Bengaluru Dr. Soma S Dhavala, Adjunct Faculty, IIT Jammu; Sectoral Expert – Agriculture and Artificial Intelligence, Ministry of Education Mr. Vijayendra Grampurohit, Lead Data Scientist, Target Dr. Ayan Debnath, Principal Applied Scientist, Oracle Bengaluru Dr. Dilip Kumar Dalei, DRDO CAIR Bengaluru Dr. Tulika Saha, IIIT Bengaluru & Honorary Lecturer, University of Liverpool, UK Dr. Nidhi Tiwari, Principal Applied Scientist, Microsoft Corporation, Bengaluru |
| Generative Ai Models and Its Real Time Applications |
Workshop | 26.05.2025 (2 Hours) | AUGMENTiX Student Association Department of AI&DS |
NMIT | Deepak Chaal, Founder of HIDEVS |
| Neurochaos: A new Paradigm | Technical Talk | 24.05.2025 (2 Hours) | Dept of AI & DS, IEEE CS BC and IEEE WIE Affinity | NMIT | Dr Nithin Nagaraj, Head - The Complex systems, National Institute of Advanced Studies, IISc Campus, Bangalore |
| Workshop On Data Visualization | Workshop | 22.10.2024 (6 Hours) |
AUGMENTiX Student Association Department of AI&DS |
NMIT | Student Members of AUGMENTiX |
| Critical Thinking and Problem Solving by Using Power -BI | Workshop | 10.10.2024 | Institution’s Innovation Council – NMIT and Department of AI&DS | NMIT | Dr. Sonia Maria D’Souza, New Horizon College of Engineering, Pradeep Kumar V, Hewlett-Packard |
| Current and Future Trends of Artificial Intelligence and Data Science by Successful Innovator | Seminar | 5.10.2024 | Institution’s Innovation Council – NMIT and Department of AI&DS | NMIT | Mr. Sashidhar Rao, Latavya Technology |
| Cyber Security and Block Chain | Seminar | 11.03.2025 | Department of AI&DS | NMIT | Dr. Gururaj H L |
| AI Conclave “NirvAI” | Workshop | 28-11-2024 | IEEE CIS, AUGMENTiX, Iris | NMIT | Mr. MD Ramaswamy, Mr. Yashwanth, Mr. Abhishek Sarangey, Mr. Gagendra |
| “Cybersecurity Awareness Program” | Workshop | 20-11-2024 | AUGMENTiX Student Assocation, Dept. of AI & DS | NMIT | Nagaraj R, Police Sub Inspector, Yelahanka |
| Title | Type of Training | Date with Duration | Organized by | Funding Agency | External Expert and their affiliation |
|---|---|---|---|---|---|
| “Open House Innovations Presentation Challenge” | Workshop | 18th July 2024 | Dept. of AI & DS | NMIT | Dr. S Meenakshi Sundaram, Dept. of Computer Science and Engineering, NMIT |
| Generative AI Models and Applications of ML and DS | Workshop | 20th June 2024 | Dept. of AI & DS | NMIT | Mr. Sivanandan, Managing Director, IPEC Solutions Private Limited, Bengaluru |
| "Innovations In Drone Technology" | Workshop | 19th June 2024 | Dept. of AI & DS | NMIT | Mr. Raghav Ishwar, Co-Founder, ClearSkies Learning and Research |
| Advanced Python Programming for Building Artificial Intelligence Applications and Data Analytics | Workshop | 20 & 21 Dec 2023 | Dept. of AI & DS | NMIT | AMIT THOOL, Managing Director, DalvikApps, Mumbai |
2025-26
- Dr. Sudhakar K received the prestigious “National Laureate Professor Award” on May 23, 2026, organized by Pi Media Solutions, in recognition of his outstanding contributions to academics, research, and innovation. The award highlights his dedication to excellence in higher education and his visionary leadership and remarkable efforts in shaping future professionals through quality education.
- Dr. Sudhakar K has been honoured with the prestigious “Excellence in Innovation” Award for recognizing ongoing contributions and untiring efforts in innovations. The award was presented on April 7, 2026, organized by the Indian Icon Awards.
- Dr. Sudhakar K, Associate Professor of Artificial Intelligence and Data Science, received the “Jyestha Acharya” award for recognizing exemplary contribution in the Research & Education sector, organized by Brain-O-Vision’s Bharat Education Excellence Awards – BEEA 2025 in association with AICTE on 5th November 2025.
- Ms. Sowmya M, Assistant Professor of Artificial Intelligence and Data Science, received the INDO-ASIAN BEST FACULTY AWARD 2025. This award recognizes her consistent superior performance in “Artificial Intelligence & Machine Learning,” as endorsed by the ICPSCE Executive Council and the National Teachers’ Day Awards Committee 2025, International Centre for Professional Studies & Cultural Exchange, India. The award was conferred on September 5th, 2025.
2024-25
- Dr. Meenakshi, Associate Professor, Department of Artificial Intelligence and Data Science, has received the Best Paper award for her work titled “Predictive Maintenance for Industrial Equipment: Using XGBoost and Local Outlier Factor with Explainable AI for Analysis”. This award was presented at the International Conference on Sustainable Technology (ICST-2025), organized by The National Institute of Engineering in Mysuru, on February 19, 2025.
- Dr. Meenakshi, Assistant Professor of AI & DS, has obtained Certificate of Excellence in Reviewing from Asian Journal of Research in Computer Science on 4-9-2024.
- Dr. Meenakshi, Assistant Professor of AI & DS, was awarded 2nd prize in the singing competition held at NMIT on 26-7-24, during Kargil Vijay Diwas.
- Dr. Meenakshi, Asst. Professor of AI&DS, was reviewer for the First edition of International Conference on Data Science and Exploration in Artificial Intelligence, CODE AI 2024 held during 3rd and 4th July 2024, organized by Manipal Academy of Higher Education, Manipal Institute of Technology, Bengaluru.
- Dr. Meenakshi, Asst. Professor of AI&DS, was awarded a PhD degree in March 2024 by VTU.
- Dr. Meenakshi, Asst. Professor of AI&DS, has received coordinator certificate for ERCICAM 2024 Feb 2024 at NMIT.
- Dr. Meenakshi, Asst. Professor of AI&DS, has bagged 2nd prize in Anyakhari competition held during Kannada Rajyotsava at NMIT 2023.
- Prof. Palanivel R. served as session chair for the International Conference on Distributed Computing and Optimization Techniques (ICDCOT-2024) organized by SJB Institute of Technology, Bengaluru on 15th & 16th March, 2024.
- Prof. Palanivel R. and Prof. Sowmya M. started the NMIT - ACM student chapter association on 25.01.2024.
- Mr. Debarshi Mazumder has been awarded as the Best Paper Presenter for the paper entitled 'Denial of Service (DoS) Attack Detection Using Feed Forward Neural Network in Cloud Environment' at the IEEE 2nd International Conference on Data Science and Network Security (ICDSNS-2024) in association with IEEE Bangalore Section during 26-27 July 2024 at Kalpataru Institute of Technology, Tiptur, Karnataka.
Students are encouraged to participate in Hackathons, Coding competitions, Technical competitions, Ideathons, Innovation activities, Research projects, technical events, etc.
- Department of Artificial Intelligence and Data Science organized Project Expo 2026 on 5th May 2026, providing a platform for students to showcase innovative projects. Through well-crafted posters, participants highlighted their project objectives, methodologies and outcomes. Industry professionals Ms. Anitha Gopinathan of Infosys Technologies and Mr. Vinay Patel S. M. of weSure Insuretech Services (India) Pvt. Ltd. served as judges for the exhibition.
- The Department organized a 36-hour hackathon - HACKSUREGEX 2026 from 17th to 19th April 2026. Team Merge Conflict from NMIT won first prize, followed by teams from Bangalore Institute of Technology and SRM Trichy.
- A milestone for the AI&DS Department has been marked by third-year student Amruthamsha P Raju, who published her first book, “Am I Being Fair?”. The book underscores the idea that AI systems reflect the values of their creators and serves as an inspiring read for those questioning fairness in various contexts.
- Amruthamsha Prashanth Raju & Disha Ramesh, III year students of AI&DS, authored the book chapter titled "Enhancing Predictive Accuracy Through Quantum AI" in the book “Quantum Unmanned Aerial Vehicle: Achieving Cyber Security and AI Strategies” (DOI: 10.1515/9783111619323-002).
- Jayanth Reddy & Mehak Nasheen Aslam, III year students of AI&DS, participated and presented a paper in the "Third IEEE International Conference on Artificial Intelligence, Computational Electronics and Communication Systems" (IEEE AICECS 2024) in December 2024.
- Abhishek Venkatesh, III year student of AI&DS, secured Second Prize at the Microsoft India Hackathon 2024 and received a cash prize of ₹ 1,00,000/- in November 2024.
- Aditya Sinha, III year student of AI&DS won first place with a cash prize of 5K in Glitch Fine - ideathon organized by SolvifyClub, NMIT Bangalore on 5th January 2024.
- Aditya Sinha, III year student of AI&DS won first place in Blind Coding organized by X-Factor in January 2023.
2025-26
- A milestone for the AI&DS Department has been marked by third-year student Amruthamsha P Raju, who published her first book, “Am I Being Fair?”. The book underscores the idea that AI systems reflect the values of their creators and serves as an inspiring read for those questioning fairness in various contexts.
- Amruthamsha Prashanth Raju and Disha Ramesh, third-year students in the Department of Artificial Intelligence and Data Science, authored the book chapter titled "Enhancing Predictive Accuracy Through Quantum AI" in the book “Quantum Unmanned Aerial Vehicle: Achieving Cyber Security and AI Strategies” (DOI: 10.1515/9783111619323-002).
- Jayanth Reddy and Mehak Nasheen Aslam, 3rd-year students in Artificial Intelligence and Data Science, participated and presented a paper in the "Third IEEE International Conference on Artificial Intelligence, Computational Electronics, and Communication Systems" (IEEE AICECS 2024) in December 2024. The title of their paper is "Predicting Life Expectancy Based on Astrological Factors and Machine Learning".
- Suprith Patil, a 7th semester student of AI & DS, nominated by IEEE ComSoc Bangalore Chapter to participate in the prestigious 2024 Student Tech Leadership Summit at Dubai, UAE.
- Hamsa B P, a 2nd year student of Artificial Intelligence & Data Science, has secured runner up place at the VTU Intercollegiate Basketball State Level Tournament 2024-2025 (Women) held at RV Institute of Technology & Management, Bengaluru on 7th and 8th November 2024.
- Hamsa B P, a 2nd year student of AI & DS, has secured winner at VTU Inter Collegiate Basketball Division Level Tournament 2024-2025 (Women) held at RV Institute of Technology & Management, Bengaluru on 5th and 6th November 2024.
- Abhishek Venkatesh, a 3rd year student of AI & DS, has secured 2nd prize at the Microsoft India Hackathon 2024. In recognition of his exceptional performance and innovative solution, awarded a cash prize of Rs. 100,000/- on November 2024.
- Siddharth Tumbala Beedu, a 3rd Year student of Artificial Intelligence & Data Science, has secured 1st place in the VTU North Zone Volleyball Tournament 2024-2025 held at RR Institute of Technology on 25th and 26th of November 2024.
- Siddharth Tumbala Beedu, a 3rd Year student of Artificial Intelligence & Data Science, has secured 1st place in the VTU North Zone Volleyball Tournament 2024-2025 held at RR Institute of Technology on 25th and 26th of November 2024.
- Atharv Shukla, a 2nd year student of AI & DS, has secured a winner in Jayaram T R Memorial Inter Collegiate Football Tournament 2024-2025 (Men) held at NMIT itself, on 21st and 22nd November 2024.
- More than 30 certification courses are completed in INFOSYS Springboard (CompTIA Network, Data Structures).
- Our students achieved Gold, Silver, and Elite in more than 50 courses in NPTEL conducted by IIT, NPTEL.
- Aditya Sinha from Vth Semester won first place with a cash prize of 5K in Glitch Fine - ideathon organized by Solvify club NMIT Bangalore on 5 Jan 2024.
- Aditya Sinha (2021-2025) from Vth Semester won first place in Blind Coding organized by X-Factor in January 2023.
- Hemanth Kumar KS (2021-2025) cracked GATE'24.
- Vinesh Vikshith, Thulasi Prasad (2021-2025), and Prathvi Bellundagi (2022-2026) won first place in the CMRIT Spardha 2023 Handball Men tournament held on 15th Dec 2023, with standout performance.
- 2nd year AI&DS students Karumanchi Brundhakshitha and Abhishek, under the guidance of Dr. Meenakshi, have published the technical paper "Impact of Industry 4.0 Technologies on Environmental Awareness and Sustainability" in the Journal of Artificial Intelligence, Machine Learning and Soft Computing.
- 3rd year AI&DS students Bhavyashree G, B S Keerthi, and K S Prakruthi, under the guidance of Dr. Meenakshi, presented the paper "Enhancing Campus Safety" in the ERCICAM International Conference 2024 at NMIT.
- 3rd year AI&DS students Bhavyashree G, B S Keerthi, and K S Prakruthi, in collaboration with Abhimanyu J, V S Sanjana, and K Tanmay Harshith, under the mentoring of Dr. Meenakshi, won the Smart India Hackathon State level 2023 conducted by the Govt of India.
- Ujjwal, a 2nd-year student, was awarded a participation certificate at Mood Indigo 2023, IIT Bombay and in the street play conducted by IIM Bengaluru 2023.
- Ujjwal, a 2nd-year student, was awarded First prize in the Goonj event at INVINCIA 2024 at Presidency University Bengaluru.
Project Exhibition
The Department of Artificial Intelligence and Data Science organized Project Expo 2026 on May 5, 2026, providing a platform for students to showcase innovative projects. Through well-crafted posters, participants highlighted their project objectives, methodologies, and outcomes. The event encouraged technical excellence, creativity, and collaborative learning. Industry professionals Ms. Anitha Gopinathan of Infosys Technologies and Mr. Vinay Patel S. M. of WeSure Insuretech Services (India)Pvt. Ltd. served as judges for the exhibition.
2025-26
The Department of Artificial Intelligence and Data Science (AI & DS) successfully organized HACKSUREGEX 2026, a 36-hour hackathon held from April 17 to April 19, 2026. The event brought together talented students from various institutions to showcase their innovation, creativity, and technical problem-solving skills. The hackathon featured valuable interactions with distinguished experts, including Bhimesh Deshpande from Philips Innovation Campus, Dr. Vijaya Kumar B. P. of RIT Bengaluru, Abhishek Sinha from CAST, and Gora Kundu from NMIT. After intense competition, Team Merge Conflict from Nitte Meenakshi Institute of Technology secured the first prize of ₹50,000. Team NCINC from Bangalore Institute of Technology won the second prize of ₹30,000, while Team DarkLead! from SRM Trichy claimed the third prize of ₹20,000. The event concluded successfully, celebrating innovation, collaboration, and technological excellence.
2023-24AUGMENTiX- The Student Association of the Department of Artificial Intelligence & Data Science was inaugurated on 25th of January 2024. The inauguration marked the beginning of a new chapter committing to projects, writing research papers and working on the overall development of the members of AUGMENTiX, enhancing their placement likelihood and creating an environment to foster creativity and understanding.
AUGMENTiX, successfully conducted a seminar, entitled "Innovations in Drone Technology", to educate students on the intricacies of drone technology, and understand the different components involved in the construction and deployment of drones. Students were informed about the aspects of a drone, like the payload, sensors, etc. to perhaps get accustomed to and involved in drone technology in the future.
AUGMENTiX, successfully coordinated an event, entitled "Open House Innovations Presentation Challenge". Participants spent months analyzing different topics and reading various published papers to gain insight into the complexities and features of a quality research paper. Authors then attempted to mimic the skills developed through their exploration by writing papers of their own, forming teams and compartmentalizing, dividing work amongst themselves and collaborating, utilizing each of their specific skillsets to create a research paper to the best of their abilities. Participants finally leveraged their skills to present their papers in front of a panel of judges from the Department of AI&DS to showcase the work done over the course of the last few months.
| Professional Membership | Faculty Name |
|---|---|
| ACM | Mr. R. Palanivel (Faculty Sponsor), Mrs. Sowmy. M (Membership Chair) |
| ISTE | Dr. Sudhakar K, Dr. Meenakshi, Mrs. Sowmya M, Mr. R Palanivel, Mrs. Anu D, Mr. Debarshi Mazumder, Mrs. Sangeetha SH, Mrs. Nayana B P, Mrs. Rajeshwari Patil |
Industry Interaction
Innovate, Create,
Engineer
Industry Collaborations
Department of AI&DS has industry interactions and collaborations with organizations including:
- Edubyheart India Private Limited
- iPEC Solutions Private Limited
Workshops, Seminars & Guest Lectures
Department of AI&DS hosted workshops, seminars and technical talks in which students engaged in topics such as:
- Workshop: Natural Language Processing - 18th August 2026.
- Seminar: The Power of Business Development Strategies - 8th May 2026.
- Technical Talk: Smarter AI Agents with Memory & Context - 23rd March 2026.
- Seminar: Image Processing Techniques for Plant Disease Detection in a Smart Agricultural Environment - 4th November 2025.
- Workshop: Next Generation of Cyber Security: Hack the Future - 18th September 2025.
- Workshop: Speak to Machines with NLP: Driving Innovation in Human-Machine Interaction - 28th to 30th August 2025.
Internship Opportunities
Department of Artificial Intelligence and Data Science (AI&DS) at NMIT offers opportunities for students to engage and acquire experience in industry through internships. This allows students to apply knowledge they learn in class to real-world settings and understand the professional work environment for fields such as AI, Data Science and related technologies.
| Student Name | Pass-out Batch | Company Name | Internship Duration | Mode |
|---|---|---|---|---|
| Abhishek | 2026 | EduShaale | 12 weeks | Offline |
| Ishita Tandon | 2026 | Aeos Ventures Private Limited | 12 weeks | Offline |
| Rohan Naveen Gajan | 2026 | A.P. Moller - Maersk | 12 weeks | Offline |
| Abhishek Verma | 2025 | MathCo | 12 weeks | Offline |
| Avin H R | 2025 | Thermovac Aerospace Pvt. Ltd. | 12 weeks | Offline |
| R Deeksha | 2025 | Nutanix Technologies India Pvt. Ltd. | 12 weeks | Offline |
| Bhavyashree G | 2025 | Spitze Aerospace Pvt. Ltd. | 12 weeks | Offline |
Research & Innovation
The department has more than 100 research publications in indexed journals and conferences, including 10 Q1 and 3 Q2 publications. The department also has 33 patent filings, of which 21 have been published and 12 granted.
2025-26
Fourth-semester students of Artificial Intelligence and Data Science visited the Autonomous and Drone Technology Lab at the University of Agricultural Sciences, Bangalore, on April 22, 2026. This industrial visit provided insights into how drones and autonomous systems are revolutionizing agriculture through precision farming, crop health monitoring, and resource management. Laboratory experts showcased real-time applications of data-driven techniques to enhance productivity and sustainability. The experience effectively connected theoretical knowledge with practical implementation, inspiring students to consider innovative solutions for agricultural challenges.
For the overall development of students, the department of AI & DS:- Coordinates workshops, training sessions, and expert talks in collaboration with various industries.
- Engages industry experts in curriculum development.
- Facilitates industry visits for both students and faculty members.
- Offers opportunities for faculty members to provide consultancy services.
- Supports academic research and innovation initiatives in partnership with industries.
- Facilitates classroom sessions on specialized topics conducted by industry experts.
- Organizes internship opportunities for students.
Memorandum of understanding (MOU)
The Department is dedicated to nurturing collaborations between academia and industry and has established Memoranda of Understanding (MoUs) with the following renowned companies. These agreements aim to enhance research and development capabilities and services through joint endeavours.
- Edubyheart Indian Private LTD.
- iPEC Solutions Pvt.Ltd
- Latavya Technologies
- Edubyheart India Pvt. Ltd
Placements & Career Support
BTech in Artificial Intelligence and Data Science (AI&DS) at NMIT provides the students with a comprehensive foundation for diverse placement opportunities in fields such as AI, Machine Learning, Data Science, Software Development, Data Analytics and emerging technological areas. Industry exposure through projects, internships and skill-building initiatives, along with an industry-relevant curriculum, strengthens students’ technical and professional competencies, preparing them to meet industry demands.
The department has the following placement outcomes:
- 85% unique placement offers in 2025-26.
- 80% unique placement offers in 2024-25.
Career Guidance & Placement Training
Students receive placement-oriented training and career support through:
- Technical training
- Expert talks
- Industry interactions
- Placement preparation
- Workshops on emerging technologies
- Technical skill development
- Communication and soft-skills development
- Problem-solving and critical-thinking activities
- Research and project-based learning
- Innovation and technical clubs
The department also encourages students to work on research projects and innovative technology solutions.
