B Tech (AI & ML)
By Institute of Information and Communication Technology (IICT)
- Program: Undergraduate (UG)
- Duration: 4 Year(s)
- Intake: 180
Program Outline
The B.Tech program in Artificial Intelligence and Machine Learning at IICT is a dynamic academic pursuit, offering outcome-based education through the Choice-Based Credit System. Tailored for global competitiveness, our curriculum delves into the latest "Smart" technologies—cloud computing, big data analytics, and networked machines—aligned with Industry 4.0 demands.
Emphasizing IoT, Blockchain, and Big Data analytics, the program instills a blend of foundational principles and advanced skills. Beyond theoretical knowledge, students engage in real-world problem-solving, fostering critical thinking and innovation through collaborative projects and industry partnerships.
The interdisciplinary focus extends to applications across engineering disciplines, ensuring graduates are versatile contributors. This program equips students to lead in the evolving landscape of Artificial Intelligence and Machine Learning, bridging theory with practical applications for impactful contributions in diverse industries.
Fees Structure
| Particulars | Amount | Remarks |
|---|---|---|
| Tuition Fees | ₹150000/- | Yearly |
| Application Form & MGMU-CET | ₹2000/- | One Time |
| Examination Fees | ₹5000/- | Yearly |
| Student Activity | ₹2000/- | Yearly |
| UMIS & Student Insurance | ₹3000/- | One Time |
| Caution Money Deposit | ₹5000/- | Refundable |
| Eligibility Fees | ₹5000/- | One Time |
| Alumni Association Membership fees | ₹2000/- | One Time |
Program Outcomes
Core Competence in AI
Acquire a strong foundation in artificial intelligence and Machine Learning theories, methodologies, and applications.
Problem-Solving with AI
Identify, formulate, and solve complex problems by applying principles of artificial intelligence, machine learning, and data analysis.
Data-Driven Decision Making
Develop the ability to analyze, interpret, and use data for effective decision-making in various real-world scenarios.
Innovation and Design
Design, develop, and evaluate intelligent systems and machine learning solutions that are adaptable to changing environments and needs.
Research Methodology
Conduct research in artificial intelligence and machine learning, employing appropriate methodologies, techniques, and tools.
Technology Integration
Integrate various tools and technologies to create innovative AI and machine learning applications.
Eligibility
1. Maharashtra State Candidate.
- The Candidate should be an Indian National and have domicile in Maharashtra state and/or born in Maharashtra state.
- Passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic Science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and the candidate should have appeared in MGMU - CET 2026/ MHT-CET 2026/PERA CET 2026 and should obtain non zero score in MGMU - CET 2026/ MHT-CET 2026/PERA CET 2026. However, preference shall be given to the candidate obtaining a non-zero positive score in MGMU - CET 2026over the candidates who obtained a non-zero score in MHT-CET 2026/ PERA-CET 2026.
- Passed Diploma in Engineering and Technology and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only).
2. All India Candidates
- The Candidate should be an Indian
- Passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic Science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and candidate should have appeared in MGMU - CET 2026/ JEE Mains Paper-I/ MHT-CET 2026/ PERA-CET 2026and should obtain non-zero score in MGMU - CET 2026/ JEE Mains Paper-I/ MHT-CET 2026/ PERA-CET 2026. However, preference shall be given to the candidate obtaining a non-zero positive score in JEE Mains Paper-I over the candidates who obtained a non-zero score in MGMU - CET 2026/ MHT-CET 2026/ PERA-CET 2026.
- Passed Diploma in Engineering and Technology and obtained at least 45% marks (at least 40% marks, in case of Backward class categories and Persons with Disability candidates belonging to Maharashtra State only).
3. NRI* Candidate
- The candidate should be an Indian National
- The candidate should have passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronic Science / Information Technology / Biology / Informatics Practices / Biotechnology / Technical vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship and obtained at least 45% marks in the above subjects taken together.
- NRI Seats are based on AICTE Norms.
Career Prospects
Machine Learning Engineer
Data Scientist
AI Research Scientist
Robotics Engineer
Cybersecurity Analyst
Admission Procedure
Step
1
Register on admissions.mgmu.ac.in
Step
2
Fill Application Form
Step
3
Receive entrance test link for MGMU CET (Date will reflect on Student Dashboard / Website)
Step
4
Appear for MGMU CET
Step
5
Check Merit List on Dashboard
Step
6
Verification and Submission of Documents
Step
7
Fees Payment
Step
8
Welcome to MGMU
Teaching Faculty
| Faculty Name | Designation |
|---|---|
| Prof. Dr. Sharvari C Tamane | Director, IICT |
| Ms. Vijaya K. Ahire | Associate Professor |
| Ms. Sangita Bhasme | Associate Professor |
| Dr. Minakshi R. Rajput | Associate Professor |
| Dr. Smita S. Ponde | Associate Professor |
| Dr. Ayyakkannu Selvaraj | Associate Professor |
| Mr. Ansari Mohammad Mohsin | Assistant Professor |
| Ms. Madhuri Kawarkhe | Assistant Professor |
| Mr. Jaykumar Dhage | Assistant Professor |
| Mr. Jayanand Ambadas Kamble | Assistant Professor |
| Ms. Pramila Kharat | Assistant Professor |
| Mr. Bharat K. Chaudhari | Assistant Professor |
| Ms. Monika Prashant Gangapurwala | Assistant Professor |
| Mr. Ashish Kishor Bhise | Assistant Professor |
| Mr. Sushil Deshpande | Assistant Professor |
| Ms. Swati G. Gupta | Assistant Professor |
| Ms. Shaikh Farisa Tarannum | Assistant Professor |
| Mr. Karan R Dabhade | Assistant Professor |
| Ms. Deepika Dubey | Assistant Professor |
| Ms. Vrushali S. Bidkar | Assistant Professor |
| Ms. Vrushali S. Bidkar | Assistant Professor |
| Ms. Aditi Jadhav | Assistant Professor |
| Ms. Pratima Sukre | Assistant Professor |
| Ms. Sushma Balaji Adsul | Assistant Professor |
| Ms. Rashmi Kumaria Nitwane | Assistant Professor |
| Ms. Priyanka Abhishek Hajare | Assistant Professor |
| Ms. Poonam Swapnil Patil | Assistant Professor |
| Mr. Tanmay Laxmikant Mukim | Assistant Professor |
| Ms. Manisha Vishnu Kharat | Assistant Professor |
| Ms. Ujjwala Suresh Chaudhari | Assistant Professor |
| Mr. Vijay Sudamrao Kolte | Assistant Professor |
Department Infrastructure
Open Source Lab
The lab facilitates students in practicals for Python, Database Management, Human Values, Algorithm Design, and Analysis.
Software Engineering Lab
The lab supports student practicals in Python, Neural Network Design, Database Management, Human Values, Calculus, and Mini Projects.
Computer Graphics Lab
This Laboratory is used by students for carrying out practical’s related to Multiple Varible calculus, Universal Human Values, Python Programming, IOT, Mini Project etc.
Software Development Lab
This Laboratory is used by students for carrying out practical’s related to Data Structures using JAVA, Multiple Variable Calculus, Python, IOT, Mini Project etc.
Multimedia Lab
This Laboratory is used by students for carrying out practical’s related to Digital Image Processing, Data Structures using Java, Machine Learning Algorithms, etc.
Hardware Interfacing Lab
This Laboratory is used by students for carrying out practical’s related to Digital Logic Design, Universal Human Values etc.
Industry Collaboration
