B.Tech. Computer Science and Engineering (Artificial Intelligence)
By Institute of Information and Communication Technology (IICT)
- Program: Undergraduate (UG)
- Duration: 4 Year(s)
- Intake: 60

Program Outline
MGM University’s B.Tech. Computer Science and Engineering (Artificial Intelligence) with Advanced and Modern AI is a pioneering undergraduate program designed to shape future-ready AI professionals equipped for a global, interdisciplinary workforce. Developed in strategic partnership with IBM, this program integrates core IT education with cutting-edge artificial intelligence, machine learning, and deep learning frameworks, reflecting the transformative shifts of Industry 4.0 and beyond.
The program is delivered through an outcome-based education model supported by a flexible Choice-Based Credit System (CBCS). Students engage in a balanced academic journey, mastering both foundational IT skills and specialized AI applications. Core focus areas include AI and ML Essentials, Machine Learning Engineering, Natural Language Processing, Computer Vision, Generative AI, Applied Large Language Model Development & Deployment and Explainable AI ensuring a comprehensive and practical understanding of modern AI tools and technologies.
A unique strength of this program is its strong industry orientation, driven by IBM’s global expertise. Students gain hands-on experience using IBM’s AI platforms and tools, such as IBM Watson, IBM Cloud Pak for Data, and OpenScale. They also undertake real-world AI projects, participate in capstone projects under expert mentorship, and receive industry-recognized certifications and digital badges directly from IBM—significantly boosting their employability and readiness for AI-focused careers.
The curriculum further includes modules on AI modeling and deployment, ethical AI governance, human-centered AI design, AI for IoT systems, blockchain integration, and cybersecurity in AI systems. This integrated approach ensures students graduate with a solid grounding in responsible, high-impact AI development, suited for a wide variety of sectors and applications.
MGM University’s program emphasizes not just technical proficiency but also the development of critical thinking, innovation, and collaboration skills. Through collaborative research, innovation labs, IBM-led workshops, and hackathons, students learn to solve real-world problems with creativity and confidence. The program opens doors to careers such as AI Developer, Data Scientist, AI Product Manager, ML Engineer, and roles in AI research and policy-making.
Adding a global dimension, the program provides access to international learning opportunities, exchange programs, and exposure to cutting-edge developments through partnerships and expert sessions with global leaders in AI. Students are actively encouraged to participate in international competitions, innovation challenges, and interdisciplinary AI research.
This future-centric B.Tech. program stands as a center of excellence in AI-driven IT education at MGM University. In collaboration with IBM, it shapes adaptable, ethical, and globally competent leaders, ready to revolutionize industries and societies through the intelligent digital transformation.
Fees Structure
| Particulars | Amount | Remarks |
|---|---|---|
| Tuition Fees | ₹204500/- | 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
Technical Proficiency
Develop strong technical skills in programming, software development, and information technology systems.
Industry-Relevant Skills
Acquire industry-relevant skills through IBM's cutting-edge technologies and innovative solutions.
Problem-Solving Abilities
Cultivate analytical and problem-solving abilities to address complex IT challenges effectively.
Cloud Computing Expertise
Gain expertise in cloud computing platforms, services, and deployment strategies using IBM technologies.
Data Analytics and AI
Develop skills in data analytics, artificial intelligence, and machine learning applications.
Software Engineering Practices
Understand software engineering principles, methodologies, and best practices for project development.
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 2026and 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 2026 and 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

Software Developer

IT Consultant

Systems Analyst

Cloud Solutions Architect

Data Engineer

IT Project Manager
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. Jyoti VithalI ghare | 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.










