Admissions 2026-27

BTech in Artificial Intelligence & Machine Learning

  • INTAKE

    60

  • DURATION

    4 Years

BTech in artificial intelligence and machine learning

The BTech in Artificial Intelligence and Machine Learning (AI&ML) at Nitte Meenakshi Institute of Technology (NMIT), Bengaluru, under Nitte (Deemed to be University), is a four-year undergraduate engineering program that provides a strong foundation in computer science and engineering, with specialized learning in Artificial Intelligence and Machine Learning.

The program provides students with a strong foundation in computer science and engineering along with specialized learning in Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Internet of Things (IoT), cloud computing, mobile computing and reinforcement learning.

Quick Facts

Particular Details
Program BTech in Artificial Intelligence and Machine Learning (AI&ML)
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, Computer Networks, Convolutional Neural Networks, Artificial Neural Networks, Cyber Security, IoT, Cloud Computing, Deep Learning and Reinforcement Learning.
Mode Full-time undergraduate engineering program

Why study BTech in Artificial Intelligence and Machine Learning at NMIT?

The BTech Artificial Intelligence and Machine Learning (AI&ML) program at NMIT, Bengaluru provides students with a combination of computer science fundamentals and specialized learning in Artificial Intelligence and Machine Learning. Students learn to develop algorithms and applications that can learn from data, identify patterns, process information and support intelligent decision-making.

The program emphasizes practical learning through laboratories, programming exercises, projects, internships, technical activities and industry interactions.

Key Highlights of B.Tech in Artificial Intelligence and Machine Learning

  • Industry-aligned Curriculum: Curriculum is periodically revised to respond to changing industry and societal requirements.
  • Strong AI/ML Foundation: Students develop expertise in Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Computer Vision, Natural Language Processing, Data Analytics, Generative AI and emerging AI technologies.
  • Outcome-Based Education: The program follows an Outcome-Based Education (OBE) approach, with emphasis on applying engineering knowledge to solve problems, designing solutions and using modern computational tools.
  • Hands-on Learning: Students gain practical exposure through Laboratory sessions, Programming & experimentation, Model development, Mini projects, Technical activities and Project-based learning.
  • Industry-Academia Connect: Industry interactions, internships, projects and professional exposure help students understand practical applications of AI and ML and related technologies.
  • Research & Innovation Orientation: Students are encouraged to participate in research projects, innovation activities, technology development, publications and patent-related activities under faculty guidance.
  • Interdisciplinary Applications: Students can apply AI/ML to domains such as Healthcare, Finance, Cyber Security, Smart cities, Robotics, Agriculture, Computer vision and Natural Language Processing
  • Ethical & Responsible AI: Students are introduced to the importance of ethical considerations and responsible practices in the development and application of Artificial Intelligence.

Vision

To become a centre of excellence in Artificial Intelligence and Machine Learning by offering quality education, promoting research across disciplines, and encouraging innovation and entrepreneurship to build intelligent solutions for a better society.

Mission

  • To offer professional education in Artificial Intelligence and Machine Learning that builds strong fundamentals, addresses real-world needs and prepares students for societal and industry challenges
  • To strengthen academic and research practices through global collaborations, faculty exchanges, and joint initiatives with leading institutions.
  • To build strong industry partnerships by engaging students in collaborative AI&ML projects, internships and mentorship that bridge classroom learning with industry practices.
  • To nurture innovation, entrepreneurship and skill development through hands-on learning, competitions and incubation support in AI and allied areas.
  • PEO 1: Foundational Expertise
    Develop a strong foundation in Artificial Intelligence, Machine Learning and computational thinking to analyze and solve complex real-world problems across interdisciplinary domains.
  • PEO 2: Lifelong Learning and Research
    Pursue lifelong learning, research, or higher education to contribute to innovations and advancements in AI, Data Science and emerging technologies.
  • PEO 3: Professional Excellence and Leadership
    Establish successful careers as AI professionals, data engineers, or entrepreneurs by demonstrating technical competence, ethical practices, leadership and effective teamwork.
  • PEO 4: Responsible Innovation for Society
    Design and deploy responsible AI solutions that address societal needs, uphold ethical values and contribute to sustainable development.
  • 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)
  • PSO 1: Intelligent Systems Design and Ethical Foresight
    Ability to conceptualize, design and build intelligent systems that adapt and learn, while anticipating societal, ethical and cognitive impacts in diverse real-world applications.
  • PSO 2: Data-Centric Innovation and Human-AI Collaboration
    Ability to extract, model and interpret complex patterns from multimodal data using AI/ML, fostering innovation, entrepreneurship and meaningful collaboration between humans and machines.

The Department is well equipped with Cutting-Edge laboratories & facilities for trending technologies such as Deep and Machine learning Applications, Mobile Application Development, Algorithmic Implementations etc


Name of the Lab Computer Brand Name Computer Configuration Total Number of Computers
Artificial Intelligence and Machine Learning Lab HP i5 30
Networks Lab HP i5 30
Data Structures Lab HP i5 30
Mobile Application Development Lab HP i5 30
C Programming Lab HP i5 30
C# (Ability Enhancement Course) Lab HP i5 30
C++ (Ability Enhancement Course) Lab HP i5 30
Python Programming Lab HP i5 30
Natural Language Processing Lab HP i5 30
Deep Learning Lab HP i5 30

Board of Studies (BOS)

Name Designation & Affiliation Courses
Dr. Pamela Vinitha Eric Chairperson, HOD, AIML, NMIT, Bengaluru. Operating System, Computer Organization, Python Programming, R Programming, Natural Language Processing
Dr. Piyush Kumar Pareek Member (Academic Expert), Professor, Dept of AIML, NMIT Software Engineering, Artificial Intelligence, Machine Learning, Deep Learning, IPR, IoT
Dr. Satish Kumar T. Member (Academic Expert), Associate Professor, CSE, BMSIT&M, Bengaluru Big Data Analytics, Artificial Intelligence and Machine Learning
Mr. Vikas B. O. Member (Industry Expert), Manager - Functional Lead, TNS India Foundation Internet of Things (IoT)
Mrs. Meghana R Member (Industry Expert), Graphics Engineer, Intel Corporation, Bengaluru Artificial Intelligence and Machine Learning, Data Visualization
Mr. Siddesh T V Member (Industry Expert), Senior Technical Manager, HCL Technologies, Bengaluru Machine Learning, High Performance Computing, Cryptography
Dr. Subhrajeeth Bhattacharya Member (Academic Expert), Professor, Dept of AIML, NMIT Data Structures, DAA, Theory of Computations
Dr. Zabiha Khan Member (Academic Expert), Associate Professor, Dept of AIML, NMIT Natural Language Processing, Artificial Intelligence, Data Analytics, Data Science, Software Engineering, Machine Learning, Database Management Systems
Dr. Suma Srinath Member (Academic Expert), Assistant Professor, Dept of AIML, NMIT Computer Vision, Artificial Learning, Machine Learning, Deep Learning, Digital Image Processing, Reinforcement Learning
Mrs. Madhura G K (Member Secretary), Assistant Professor, Dept of AIML, NMIT Operating Systems, Data Mining, Machine Learning
Mr. Sunil Kumar V Member (Academic Expert), Assistant Professor, Dept of AIML, NMIT Java, Data Structures, Data Science, Machine Learning

Board of Examiners (BOE)

Name Designation Affiliation
Dr. Pamela Vinitha Eric Chairperson HOD, AIML, NMIT, Bengaluru.
Dr. Piyush Kumar Pareek Member Professor, Dept of AIML, NMIT
Dr. Satish Kumar T Special Invitee Professor, CSE, BMSIT&M, Bengaluru
Dr. Subhrajeeth Bhattacharya Member Professor, Dept of AIML, NMIT
Dr. Zabiha Khan Member Secretary Associate Professor, Dept of AIML, NMIT
Mrs. Madhura G K Member Assistant Professor, Dept of AIML, NMIT
Mr. Sunil Kumar V Member Assistant Professor, Dept of AIML, NMIT

Department Undergraduate Committee (DUGC)

Name Designation Affiliation
Dr. Pamela Vinitha Eric Chairperson HOD, AIML, NMIT, Bengaluru.
Dr. Piyush Kumar Pareek Member Professor, Dept of AIML, NMIT
Dr. Subhrajeeth Bhattacharya Member Professor, Dept of AIML, NMIT
Dr. Zabiha Khan Member Associate Professor, Dept of AIML, NMIT
Dr. Suma Srinath Member Assistant Professor, Dept of AIML, NMIT
Mrs. Aruna T M Member Assistant Professor, Dept of AIML, NMIT
Mrs. Madhura G K Member Assistant Professor, Dept of AIML, NMIT
Mrs. Divyaraj Member Assistant Professor, Dept of AIML, NMIT
Mrs. Kruthika C G Member Assistant Professor, Dept of AIML, NMIT
Mr. Sunil Kumar V Member Secretary Assistant Professor, Dept of AIML, NMIT
Mrs. Priyanka M S Member Assistant Professor, Dept of AIML, NMIT
Ms. Ladly Patel Member Assistant Professor, Dept of AIML, NMIT

Department Advisory Committee (DAC)

Name Designation Affiliation
Dr. Pamela Vinitha Eric Chairperson HOD, AIML, NMIT, Bengaluru.
Dr. Riyaz Ahmed Principal HKBKCE, Bengaluru
Dr. Piyush Kumar Pareek Member Professor, Dept of AIML, NMIT
Dr. Lakshmana Member HOD, AIDS, NMIT, Bengaluru.
Mr. Vikas B. O. TechnoServe Capgemini, Bengaluru
Dr. Subhrajeeth Bhattacharya Member Professor, Dept of AIML, NMIT
Dr. Zabiha Khan Member Associate Professor, Dept of AIML, NMIT
Mrs. Madhura G K Member Assistant Professor, Dept of AIML, NMIT
Dr. Suma Srinath Member Secretary Assistant Professor, Dept of AIML, NMIT
Mr. Sunil Kumar V Member Assistant Professor, Dept of AIML, NMIT

Programme Advisory Committee (PAC)

Name Designation Affiliation
Dr. Pamela Vinitha Eric Chairperson HOD, AIML, NMIT, Bengaluru.
Dr. Piyush Kumar Pareek Member Professor, Dept of AIML, NMIT
Dr. Subhrajeeth Bhattacharya Member Professor, Dept of AIML, NMIT
Dr. Zabiha Khan Member Secretary Associate Professor, Dept of AIML, NMIT
Dr. Suma Srinath Member Assistant Professor, Dept of AIML, NMIT
Mrs. Madhura G K Member Assistant Professor, Dept of AIML, NMIT
Mr. Sunil Kumar V Member Assistant Professor, Dept of AIML, NMIT

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 B.Tech in Artificial Intelligence and Machine Learning (AI&ML) 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 B.Tech 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.

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Curriculum Highlights

The B.Tech AI&ML program at NMIT, Bengaluru combines computer science fundamentals with specialized learning in Artificial Intelligence and Machine Learning.

Program Structure

  • Years 1-2: Engineering fundamentals, programming, mathematics, data structures and algorithms, Machine Learning, Artificial Intelligence, computer architecture, database systems, operating systems and data communication.
  • Years 3-4: Deep Learning and Reinforcement Learning, network Security and cyber forensics, IoT, Convolutional Neural Networks, Artificial Neural Networks, specialized technical subjects, internship and capstone project.

Key Subjects & Specialization Areas

The AI&ML curriculum includes areas such as:

  • Machine Learning
  • Data Science and Data Analytics
  • Artificial Intelligence
  • Natural Language Processing
  • Computer Vision
  • Database Management Systems
  • Robotics and Automation
  • Reinforcement Learning
  • Cloud Computing
  • Operating Systems
  • Network Security
  • Convolutional Neural Networks and Artificial Neural Networks

Practical Training, Labs & Projects

Students receive practical exposure through laboratory and project-based learning in areas including:

  • Data Structures and Algorithms
  • Data Communication and Computer Networks
  • Natural Language Processing
  • Internet of Things
  • Network Security
  • Mobile Computing
  • Wireless Networks
  • Machine Learning
  • Cyber Security
  • Artificial Intelligence

Students undertake mini projects every semester and a final-year capstone project, enabling them to apply classroom concepts to practical engineering problems.

Click the below link to download the curriculum:https://drive.google.com/file/d/15GiP_POhUhsTHH3Yv48tGaSjPhiWg3WE/view

Faculty

Dr. Pamela Vinitha Eric

Professor and Head

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Dr. Piyush Kumar Pareek

Professor

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Aruna T M

Assistant Professor

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Divyaraj G N

Assistant Professor

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Kruthika C G

Assistant professor

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Ladly Patel

Assistant Professor

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Madhura G K

Assistant Professor

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Priyanka M S

Assistant Professor

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Dr. Subhrajit Bhattacharya

Professor

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Dr. Suma Srinath

Assistant Professor

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Sunil Kumar V

Assistant Professor

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Dr. Zabiha Khan

Associate Professor

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Labs, Equipment & Infrastructure

The department provides laboratory and project facilities that support practical learning and experimentation in Artificial Intelligence, Machine Learning, computer networks, cyber security, IoT, mobile application development and related technologies.

Facilities and learning resources include:

  • Computer Networks and Data Communication Laboratories
  • Network Simulation Facilities
  • IoT and Network Security Laboratories
  • AI and AI&ML project facilities
  • Facilities for AI-based implementations
  • Deep Learning and Reinforcement Learning experimentation
  • Facilities for practical learning and technology projects

These facilities provide students with opportunities to apply computer science concepts to Artificial Intelligence and Machine Learning applications.

Library Resources & Digital Tools

AI&ML students have access to library resources such as textbooks, research journals, e-books and online databases. These resources support academic learning, technical projects, research activities and independent study.

B.Tech AI&ML graduates can explore career opportunities across AI, Machine Learning, software development, data analytics and related technology domains.

Potential career roles include:

  • Machine Learning Engineer
  • AI Engineer
  • Data Scientist
  • Data Analyst
  • AI Research Engineer
  • NLP Engineer
  • Computer Vision Engineer
  • MLOps Engineer
  • Robotics and Automation Engineer
  • Software Developer - AI-focused roles

Graduates may also explore opportunities in computer networking, cyber security, telecommunications, cloud computing, IoT and other computing domains, depending on their skills and specialization.

Higher Education & Research

After completing B.Tech in Artificial Intelligence and Machine Learning, graduates can pursue higher education and research in areas such as:

  • Computer Science
  • Computer Networks
  • Cyber Security
  • Network Security
  • Telecommunications
  • Wireless Communication
  • Cloud Computing
  • Internet of Things
  • Artificial Intelligence and Machine Learning
  • Data Science
  • Blockchain Technology
  • Cyber Forensics

Students interested in research can also pursue postgraduate programs and research opportunities in India or abroad.

Research

The department encourages students to participate in research projects, innovation activities and technology development. The department has published over 300 research papers, while around 10 student patents have been filed under faculty guidance.

Students may participate in:

  • Faculty-guided research projects
  • Technical projects
  • Innovation activities
  • Conferences and publications
  • Patent-related activities
  • Student project competitions
  • Hackathons and technical events

The AI & ML department conducts cutting-edge research to tackle current challenges in AI. We focus on Software Engineering, Networking and Image Processing for Satellite and Healthcare. Through partnerships with industries and research institutions, our students and faculty engage in impactful projects and publish in top conferences and journals. We promote interdisciplinary research, encouraging students to explore applications in different domains.

Thrust Areas of Research

Faculty Research Area
Dr. Piyush Kumar Pareek Software Engineering & AI
Dr. Zabiha Khan Medical Image Processing with ML

Research Supervisors

Research Supervisors Research Area University
Dr. Piyush Kumar Pareek Software Engineering and AI Nitte (Deemed to be University), Visvesvaraya Technological University
Dr. Zabiha Khan Medical Image Processing with AI Nitte (Deemed to be University)

Patents

2023-2024

Assignee/s Name Patent Title Application Number Date of Filing of Application Status
Dr. Piyush Kumar Pareek
Dr. Geetishree Mishra
Chethana C
Dr. Achyutha Prasad N
NAGARA JU T A
Sapna Kadakadiyavar		 Patent Document 202241001146A 09/01/2022 Granted
Dr. Piyush Kumar Pareek
Dr. Raghavi K Bhujang
Shashank Shekhar Singh
Siddharth Mishra
Jagadevi N. Kalshetty		 Patent Document 202241023803A 22/04/2022 Granted
Dr. Piyush Kumar Pareek
Dr. Priya Nandihal
Nikshepa T
Sowmya S R
K. R. Surabhi
Yamuna R		 Patent Document 202241027766A 13/05/2022 Granted
Arudra Annepu
Huchappa Ravi Shankar
Dr. Sapna Kadakadiyavar
Dr. Khan Zabiha
Kumble, Lithin
Dr. Mishra Piti
Dr. Piyush Kumar Pareek
Dr. Pavaluri Jalaja
Dr. Ramegowda Jagadeesha
Dr. Soman Sandhya		 Patent Document 202022103610A 29/06/2022 Granted
Dr. Pavaluri Jalaja
Dr. Ramegowda Jagadeesha
Huchappa Ravi Shankar
Kumble, Lithin
Dr. Soman Sandhya
Dr. Khan Zabiha
Dr. Kadakadiyavar Sapna
Arudra Annepu
Dr. Mishra Piti
Dr. Piyush Kumar Pareek		 Patent Document 202022103610A 29/06/2022 Granted

Journal Publication

Year Download PDF
2025-26 Download
2024-25 Download
2023-24 Download

Conference Publications Publication

Year Download PDF
2025-26 Download
2024-25 Download

Books / Chapters

Name of the Author Title of Book Chapter Name of the Publisher Year
Dr. Piyush Kumar Pareek Data Mining Based Heart Disease Prediction using Hybrid Optimization Technique of Derived Features SpringerNature 2026
Dr. Piyush Kumar Pareek Support Vector Economics: From Polyvariant Functions to a Binary Classification Methods SpringerNature 2026
Prof. Aruna T M Predicting Network Traffic in Wireless Mesh Networks Using Multi-Head Attention with Long Short-Term Memory SpringerNature 2026
Dr. Piyush Kumar Pareek Multidimensional Object Detection in Real Time using Deep Learning Techniques SpringerNature 2025
Dr. Piyush Kumar Pareek A Meticulous Evaluation ofmuskuloskeletal Fracture Diagonosis and Categorization Methods SpringerNature 2025
Dr. Zabiha Khan Hybrid attention with transformer network for segmenting the brain tumor from BRATS 2020 images Taylor & Francis 2025
Dr. Zabiha Khan Bridging Agriculture and AI: Rice Blast Prediction using Hybrid Pelican Komodo Optimization based VTHR Classification SpringerNature 2025
Dr. Zabiha Khan The Ultimate Air Quality Predictorusing Virus Colony Search Optimisation-Based UATNet Classification SpringerNature 2025
Dr. Zabiha Khan Spatial Machines for Heterogeneous MRI Data - A Critical Review Springer 2024
Dr. Zabiha Khan Diabetic Retinopathy determination using Deep Learning Approach SpringerNature 2024
Dr. Piyush Kumar Pareek Efficiency Enhancement of Knee Osteoarthritis Classification Using Optimization Technique SpringerNature 2024

Research Funding

Project entitled “AlliedEdge: Scalable Cross-Institutional Collaboration and Mentorship Platform with Integrated Project Management for Undergraduate Students and Developers” has been sanctioned for the 5th Semester Student Mr. Mohammed Rayan under the guidance of Dr. Zabiha Khan from the Nitte (Deemed to be University).

Project entitled “Automatic Detection and Classification of Retinal Diseases” has been sanctioned for the Students Junaid Ahmed, Mohammed Haroon, Samiq Shareef, Shravya under the guidance of Dr. Zabiha Khan from Karnataka State Council of Science and Technology (KSCST).

Project entitled “Design of Road Traffic Management and Control Network Architecture Based on SDN” has been sanctioned for the Students Mr. Yogeesh M G, Mr. Nagendra Krishna Moger under the guidance of Prof. Sunil Kumar V from Karnataka State Council of Science and Technology (KSCST).

Project entitled “Real Time ADAS for Indian Road Hazard Detection” has been sanctioned for the Students Ms. Yashika Chawla, Ms. Gauri Jeetendra Ojha, Ms. Hansika Gunti under the guidance of Prof. Ladly Patel from Karnataka State Council of Science and Technology (KSCST).

Project entitled “Synthetic to Smart: Enhancing EV Battery Insights Using TimeGAN and TFT” has been sanctioned for the Students Ms. Vinisha A, Mr. Hemanth, Mr. Shashank G, Mr. Shivaprasad under the guidance of Prof. Divyaraj G N from Karnataka State Council of Science and Technology (KSCST).

Enrichment

Workshops/ FDP/seminars

Students participate in workshops, hackathons, expert talks and technical training covering areas such as:

  • Artificial Intelligence
  • Machine Learning and Deep Learning
  • Blockchain
  • Cyber Security
  • Network Technologies
  • Placement Preparation
  • Emerging Computing Technologies

Internship Opportunities

Students can undertake internships and industry-oriented projects, subject to availability and applicable selection requirements. The department's collaboration with organizations like Paytm, Hebbal Academy, ISRO and HiDevs includes opportunities related to student internships, while other industry interactions may also provide exposure to practical technologies and workplace practices.

2025-26

Title Type of Training Date with Duration Organized by Funding Agency External Experts & their Affiliation
"Transformative Teaching and Research: A Universal Hands-On journey with Gen-AI Tools" Offline (Hands-On) One Week National Level FDP (13th - 17th July’ 2026) Dr. Zabiha Khan & Mrs. Madhura G K NMIT Mr. Deepak Chawla, CEO, Hidevs.
Ms. Veda Revavkar, AI Engineer.
“From Ideas to Impact: Navigating the Start-up Ecosystem” Offline One Day Workshop (22nd August’2026) Dr. Zabiha Khan & Mrs. Madhura G K NMIT Mr. Srinidhi Gowda A N, Software Engineeer, British Telecom, Bengaluru.
Holistic Empowerment of Educators – Language, Ethics, Emotional Intelligence & Design Thinking Offline (Hands-On) 3 Days (29th – 31st July 2025) Prof. Ladly Patel NMIT Dr. Sandeep Shastri, Director (Academic), Nitte Education Trust, Bangalore,
Prof. Shailaja Shastri
Generative Artificial Intelligence (AI) Offline (Hands-On) 6 Days (07th – 12th July 2025) Prof. Ladly Patel NMIT Mr. Vijayaraghavan, Chief Technology Officer, LanceSoft Inc.
Mr. Vishal, Senior Data Scientist, Target

2024-25

Title Type of Training Date with Duration Organized by Funding Agency External Experts & their Affiliation
Mastering CN with Simulation Tools Offline (Hands-On) 2 Days (15th & 16th May 2025) Mrs. DivyaRaj, Mrs. Aruna T M NMIT Dr. Yerriswamy, Reva University
Hands-On for NLP Offline (Hands-On) 3 Days (28th to 30th April 2025) Dr. Zabiha Khan, Mr. Sunil Kumar V NMIT Mr. Sachin S, GenPack Technologies
Hands-On for Machine Learning Offline (Hands-On) 3 Days (21st to 23rd April 2025) Mr. Sunil Kumar V, Mrs. Madhura G K NMIT Mr. Sachin S, GenPack Technologies
“Python for Data Science” Workshop with Hands-On 08/03/2025 Dr. Zabiha Khan, Prof. Suma S NMIT, Bengaluru Mr. Prateek Agarwal, PMRF-IISC, Bengaluru.
“AIML and Future Landscape of Job and Skills” Workshop 23/11/24 Prof. Suma S, Prof. Prateeksha S NMIT, Bengaluru Dr. Madhava Rao Kulkarni, Software Lead, HCL.
“Entrepreneurship and Innovation as a career Opportunity” Workshop 06/12/24 Dr. Zabiha Khan, Prof. Aruna T M, Prof. Harshitha P NMIT, Bengaluru Mr. Madhu Kiran, Sr. Program Manager, Imarticus Learning, Bengaluru.
Mr. Stanley Chetan Naganur, Manager, Byjus.
“Skill Enhancement and Career Advancement for Successful Career” Workshop 17/11/24 Dr. Zabiha Khan, Prof. Madhura G K NMIT, Bengaluru Mr. Suresh Koujalgi, Manager, IMS Learning Resources Pvt. Ltd, Bengaluru.

Student Achievements

Students are encouraged to participate in hackathons, coding competitions, technical competitions, ideathons, innovation activities, research projects, technical events etc.

2026

  • The Department of Artificial Intelligence & Machine Learning, NMIT, organized a session on “DevOps & AWS: Building the Future of Cloud Engineering” on 8th August 2026. The session was conducted by Mr. Azhar Sajjad, Senior Technical Lead, HCL Tech, who shared insights and practical knowledge on DevOps, AWS, cloud engineering, software development, testing and cloud technologies.
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  • The Department of Artificial Intelligence and Machine Learning (AIML), in association with NMIT Alumni Relations, successfully organized a one-day technical workshop on “From Attention to Intelligence: A Hands-on Exploration of Transformers, BERT & GPT” on 29th August 2026, Mr. Aryan Gandhi, AI Engineer, Infosys and Mr. S Srivarun, Full Stack AI Developer, were the resource persons.
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  • Sri. Bandila Madhav, a student of the Department of Artificial Intelligence and Machine Learning (AIML), has been awarded the First Prize in the APTRANSCO Online Website Competition – 2026, conducted by the Transmission Corporation of Andhra Pradesh Limited (APTRANSCO) for designing an innovative website concept for the organization.
  • His creative contribution, innovative design approach, technical expertise, and dedicated efforts towards developing the website concept were highly appreciated by APTRANSCO. This outstanding achievement is a testament to his creativity, technical skills, innovation and commitment to excellence.
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  • The Department of Artificial Intelligence & Machine Learning, Nitte Meenakshi Institute of Technology (NMIT) organized a workshop on “From Ideas to Impact: Navigating the Startup Ecosystem” on 22nd August 2026. The session was delivered by Ms. Srinidhi Gowda A N, Software Engineer, British Telecom.
  • The event was convened by Dr. Pamela Vinitha Eric, Professor and Head, Dept. of AI&ML, and coordinated by Dr. Zabiha Khan, Associate Professor and Mrs. Madhura G K, Assistant Professor, Dept. of AI&ML, NMIT.

2025

  •  Students from Second and Third year S. SriVarun, Parth N, Nareyan S, Rohith V, Manishika Puhan, Vibhas Reddy won First Prize in Smart India Hackathon 2024.
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  • Final year Student Mr. Karthikeya Reddy Challam has secured Runner-Up Winner in multiple State-Level Battle of Bands Competitions, showcasing exceptional musical talent and teamwork. To name a few: Prerana - GITAM University, Ximera - XIME Bangalore, Utsaha Vaibhava - BMS Institute of Technology (BMSIT), Manthan - Bangalore Institute of Technology (BIT)
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  • Final Year Students Sriram P S, Rohit V, Srivatsa & Yogeesh have secured Secured 1st Place in the event “TECH TRAIL” and got Recognition for remarkable skill and outstanding performance in the competition.
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  • Second Year Student CDT Varalika Prodhatoori bagged 1st Placein the event Shourya Shooting at RV College of Engineering, Bengaluru. She also has been recognized for her exceptional marksmanship and precision and Awarded NX100 Club Elite Plus Air Rifle for outstanding performance.
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  • Goonj, the Drama Club of AIML, uses the power of theatre to promote social awareness through impactful street plays on women’s safety, cyber safety and various social issues. The club has represented NMIT at prestigious institutions such as BITS Pilani, IIT Bombay, BMSCE, MSRIT, Christ, REVA and Presidency University, winning multiple awards in intercollegiate competitions. Through theatre, Goonj continues to inspire awareness and encourage positive social change.
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  • Final Year Student Pratyaksh S S has secuured Solar Electric Vehicle Championship (SEVC) 2025 and won 6 Prizes at National-Level Competition.
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  • Second Year Student Pratyaksh S S participated in the National Level event “SOLAR ELECTRIC VEHICLE CHAMPIONSHIP (SEVC)” and won 6 Prizes on 14th March 2025.
  • Fourth Year Student Karthikeya Reddy Challam participated and won Runner-Up trophy at various colleges with events like Battle of bands at Prerana (GITAM), Battle of bands at Ximera (Xime Bangalore), Battle of bands at Utsaha vaibhava (BMSIT) and Battle of bands at Manthan (BIT) in the State Level.

    • 2024

    • Third Year Students Shashank G and Vinisha M have bagged Certificates of Merit in the India’s Largest Skill Contest in the event “Noukri Campus Young Turks” in the month of October’2024.
    • S SriVarun, Parth N and Nareyan S, third year students, won First Prize in the event “Smart India Hackathon-2024” organized by the department of Computer Science and Engineering in Association with IIC, NMIT on 18th September’2024.
    • Anmol A H, third year student of AIML participated in an event “Invincia” – Act Quake and secured a Gold Medal in Solo Acting event at the Presidency University, Bengaluru on 25th May’2024.
    • Abhinav Sharma, third year student of AIML participated in an event “Invincia” -Street Play and secured First Prize at the Presidency University, Bengaluru on 25th May’2024.

    Faculty Achievements

    • Recognition of Dr. Zabiha Khan as Jury Member
      Dr. Zabiha Khan, Associate Professor, Department of Artificial Intelligence & Machine Learning, Nitte Meenakshi Institute of Technology, Bengaluru, served as a Session Chair for the 2nd International Conference on Artificial Intelligence, Innovation & Sustainable Development (ICA IISD–2026), conducted by the AMIEE Association. She was part of the Healthcare & Medical Technologies and AI/ML Applications track, contributing her academic and technical expertise to the evaluation of research presentations.
    • Dr. Zabiha Khan, Associate Professor, Department of Artificial Intelligence & Machine Learning, Nitte Meenakshi Institute of Technology (NMIT), Bengaluru, served as a distinguished Jury Member for the Hackathon Event – Eureka-26 Pre-Zonals, conducted by IIT Bombay.
    • Dr. Zabiha Khan invited as a Resource Person for the Faculty Development Program “Integrative Approaches in Life Sciences Leveraging Genomics, CRISPR and AI for Advancing Biotechnology Research” conducted by the Department of Life Sciences, Acharya BB School, Bengaluru on 16th May 2025.
    • The Department of Artificial Intelligence and Machine Learning received the funding from KSCST-Student Project Program’2025 for the project of Final Year Students under the Guidance of Dr. Zabiha Khan, in the month of April’2025.
    • Dr. Piyush Kumar Pareek, Professor and Head, delivered an Expert Lecture as a resource person in the ATAL FDP on “Evolution of Cyber Threats and the Need for Next-Gen Solutions” held on 31st December 2024.
    • Dr. Piyush Kumar Pareek, Professor and Head, delivered an Expert Lecture as a resource person at KSTA (Karnataka Science and Technology Academy) on “Recent Trends in Intellectual Property Rights” held on 7th December 2024.
    • Dr. Zabiha Khan, Associate Professor, delivered an Expert Lecture as a resource person in the ATAL FDP on “Quantum Verse: Advancing Knowledge in Quantum Computing, XR and Metaverse” held on 20th December 2024.
    • Dr. Zabiha Khan delivered an Expert Talk on “Artificial Intelligence in Medical Field and Future Opportunities - Transforming Healthcare using AI” in the National Webinar organized by Mangayarkarasi College of Engineering, Madurai on 14th June 2024.
    • Prof. Harshitha P, Assistant Professor, was honored with the Best Paper Presenter Award at the International Conference on Distributed Computing and Optimization Techniques (ICDCOT) 2024, held on March 15th and 16th, 2024, organized by SJB Institute of Technology in Bengaluru.

Project Exhibition

  • Project Entitled “From Commands to Goals: A Framework for Natural Language Desktop Control” under the Guidance of Dr. Zabiha Khan Secured First Prize at the department level. The Student Team include S R Deepak Shetty, Krupacharan R and Harshavardhan Shetty Y R with a Cash Prize of ₹5000 and a Certificate from the NMIT Organization.
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  • Project Entitled “Automatic Detection of Alzheimer’s Disease from Spontaneous Speech using Multi-Modal AI/ML Techniques” under the Guidance of Dr. Subhrajith Bhattacharya Secured Third Prize at the department level. The Student Team include R Jeeva Thapa, Revanasidda, Sagar V, Vaibhav S J with a Cash Prize of ₹2000 and a Certificate from the NMIT Organization.

Professional Societies

Industry Interaction

Innovate, Create,
Engineer

Industry & Institutional Collaborations

The Department of Artificial Intelligence and Machine Learning has industry interactions and collaborations with organizations including:

  • Infosys
  • Cognizant
  • LTIMindtree
  • Sasken Technologies
  • Nutanix
  • CloudThat
  • Oracle
  • IBM
  • Capgemini
  • Cohesity
  • Vill Design
  • Cloverbay

The department also has collaborations and academic interactions with organizations such as Hebbal Academy and HiDevs for knowledge-sharing sessions, curated courses, workshops, collaborative projects, internships and recruitment-related activities.

Hebbal Academy:
Hebbal Academy is a premier skill development and technical training institute that specializes in bridging the gap between academic theory and industrial requirements. As a strategic partner for educational institutions, the academy focuses on high-demand domains such as Internet of Things (IoT), Artificial Intelligence, and Embedded Systems. Through its collaboration with NMIT, Hebbal Academy provides students with access to industry-aligned curricula, specialized workshops, and hands-on laboratory sessions. Their training methodology emphasizes "Experiential Learning," empowering students to work on real-world projects and live data acquisition, which significantly enhances their employability and technical readiness for the global tech market.

HiDevs

The Department of Artificial Intelligence & Machine Learning (AIML) has recently signed an MoU with HiDevs as part of its ongoing efforts to enhance industry-academia collaboration.

This initiative aims to equip students with the skills and experience required to thrive in a rapidly evolving tech landscape, with a particular focus on emerging areas such as Generative AI and advanced technologies. Through this partnership, the department seeks to provide students with mentorship, practical exposure, and opportunities that will strengthen their readiness for internships and placements in reputed firms.

DSEdify Private Ltd

DSEdify Private Ltd., a company incorporated under the Companies Act, 2023, at J.P Nagar, Bengaluru, is a leading provider of information technology (IT) solutions and services and is committed to fostering innovation and talent development in the IT & Engineering services sector. The Department of AI & ML signed a MOU with DSEdify Private Ltd to establish a collaborative partnership aimed at enhancing student exposure to industry-relevant technologies, promoting applied research, facilitating internships, training and project-based learning, and bridging the gap between academic curriculum and emerging trends in the IT and engineering services sector.

AQMENZ AUTOMATION PRIVATE LIMITED

Department of AI & ML has signed an MOU with AQMENZ AUTOMATION PRIVATE LIMITED. The objective is to establish a comprehensive collaboration aimed at enhancing industry-academia interaction through specialized training programs, internships and placement opportunities. This strategic partnership will facilitate the development of a robust talent pipeline by offering students and professionals hands-on experience in the field of industrial automation. AQMENZ will provide state-of-the-art training modules and resources, enabling participants to acquire practical skills and industry knowledge. The internship program will allow trainees to work on real-world projects under the mentorship of experienced professionals, bridging the gap between academic learning and industry requirements. Furthermore, AQMENZ commits to offering placement support to successful trainees, thereby contributing to their career advancement and addressing the industry's demand for skilled automation experts. This MoU underscores a mutual commitment to fostering innovation, enhancing employability, and promoting sustained industry growth.

GIGA SKILLNMIT has partnered with Giga Skill through a Memorandum of Understanding (MoU) to offer extensive training, internship and placement opportunities in the fields of machine learning and data science. This collaboration aims to bridge the gap between academic learning and industry requirements by providing participants with hands-on training programs that are designed and delivered by industry experts. The MoU includes a structured internship program where trainees will gain practical experience by working on real-world projects, thus enhancing their technical and professional skills. Additionally, AQMENZ and Giga Skill will work together to provide robust placement support, helping successful trainees to secure promising positions in the tech industry. This partnership reflects a mutual commitment to nurturing talent, fostering innovation and preparing a skilled workforce for the future demands of the industry.

AI & ML Colleges in Bangalore

Placements & Career Support

B.Tech AI&ML graduates can explore recruitment opportunities across software, networking, telecommunications, cloud computing, cyber security, consulting and technology organizations.

The department has the following placement outcomes:

  • 95% unique placement offers in 2025-26
  • 75% unique placement offers in 2024-25
  • 85% unique placement offers in 2023-24

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.

Frequently Asked Questions


1. Is AI&ML a good career choice?

Yes. AI&ML is one of the rapidly growing technology fields globally, with increasing applications across IT, healthcare, finance, manufacturing and research. It offers opportunities in diverse roles and has strong long-term relevance as the adoption of AI continues to expand across industries.

2. What is the difference between AI&ML and Data Science?

AI&ML: Focuses on building intelligent, autonomous systems like algorithms that learn, predict and make decisions.

Data Science: Focuses more on extracting insights from data like statistics, data wrangling, visualization and using ML as one of several tools to answer business questions.

The two fields overlap significantly, but AI&ML places greater emphasis on developing intelligent models and systems, while Data Science has a broader focus on extracting insights and supporting data-driven decision-making.

3. Are there research opportunities in AI&ML?

Yes. The department conducts research in areas such as Software Engineering, Networking and Image Processing for satellite and healthcare applications. Faculty and students are involved in research publications, interdisciplinary projects and innovation activities. Students can participate in faculty-guided projects, KSCST-funded student projects and hackathons such as the Smart India Hackathon.

4. What is the scope of AI&ML in India?

The scope of AI&ML in India is expanding across sectors such as IT services, fintech, healthtech, manufacturing and Industry 4.0, as well as government digital initiatives. Companies across technology and other sectors are increasingly adopting AI-based solutions, creating opportunities for professionals with skills in AI and ML. This makes AI&ML a relevant field for engineering graduates seeking careers in emerging technologies.

5. Why should I choose AI&ML at NMIT?

  • Dedicated AI & ML department established in 2021, with specialized faculty and infrastructure.
  • Autonomous institution offering flexibility in curriculum design.
  • NAAC A+ accredited institution and NIRF-ranked in the 101-150 Engineering band.
  • Industry collaborations and MoUs that provide opportunities for internships, industry exposure and hands-on learning.
  • Established placement cell with recruiters from product and service-based companies.

6. What makes NMIT's AI&ML program unique?

  • Faculty members with industry experience and PhD backgrounds.
  • Specialized laboratories for areas such as Natural Language Processing and Deep Learning.
  • Faculty research activities, including patent filings and Scopus-indexed publications.
  • Hands-on workshops and learning opportunities involving industry experts.

7. Is B.Tech AI&ML better than CSE?

CSE provides a broader foundation in areas such as operating systems, computer networks, databases and software development, offering flexibility across a wide range of technology roles.

AI&ML is more specialized towards artificial intelligence, machine learning, intelligent systems and data-driven applications.

Both programs offer opportunities in the technology sector. The choice depends on the student's interests and career goals: students seeking a broader foundation in computing may prefer CSE, while those specifically interested in AI and ML may prefer AI&ML.

8. What certifications or add-on courses can strengthen career prospects in AI and ML?

Students can consider the following certifications and add-on courses to strengthen their knowledge and practical skills:

  • Google, AWS and Azure certifications in AI and ML
  • Deep Learning Specialization offered through Coursera/DeepLearning AI
  • TensorFlow and PyTorch courses or certifications
  • Kaggle competitions for practical learning and portfolio building
  • NPTEL courses in AI, ML & Data Science
  • Courses focused on Generative AI and Large Language Models (LLMs)

9. Is NUCAT required for B.Tech AI&ML at NMIT?

Candidates seeking admission through the regular admission process are required to appear for NUCAT, as applicable. NUCAT is a 120-minute entrance examination covering Physics, Chemistry and Mathematics.

10. Can students apply for B.Tech AI&ML while awaiting Class 12 results?

Yes. Candidates appearing for their Class 12 examination can apply for NUCAT, subject to fulfilling the prescribed eligibility requirements after the Class 12 results are declared.

11. Is KCET or COMEDK required for B.Tech AI&ML at NMIT?

No. Seat allotment for B.Tech AI&ML at NMIT is not through KCET or COMEDK. Candidates seeking admission through the regular admission process are required to appear for the Nitte University Common Admission Test (NUCAT), as applicable.

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