B.Sc (Hons.) Artificial Intelligence and Machine Learning (with IBM ICE)
By Dr. G.Y. Pathrikar College of Computer Science & Information Technology
- Program: Undergraduate (UG)
- Duration: 4 Year(s)
- Intake: 60

Program Outline
The B.Sc. (Hons) Artificial Intelligence and Machine Learning with IBM Innovation Center for Education program at MGM University's Dr. G.Y. Pathrikar College of Computer Science & Information Technology provides comprehensive education in AI fundamentals, neural networks, deep learning, and data science. Students develop expertise in algorithm design, model training, natural language processing, and computer vision while gaining practical experience through hands-on projects, programming labs, and industry collaborations using cutting-edge tools and frameworks.
The curriculum balances theoretical concepts with real-world applications, preparing graduates for diverse roles in technology sectors, research institutions, and innovative startups. With specialized courses in reinforcement learning, ethical AI, robotics applications, and predictive analytics, students learn to implement intelligent solutions across domains including healthcare, finance, manufacturing, and business intelligence. Through capstone projects and industry internships, graduates emerge equipped with the technical skills, analytical thinking, and creative problem-solving abilities needed to harness AI technologies in addressing complex challenges.
Fees Structure
| Particulars | Amount | Remarks |
|---|---|---|
| Tuition Fees | ₹84500/- | 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
AI Fundamentals
Apply core principles of artificial intelligence to develop intelligent systems that can perceive, reason, and learn.
ML Algorithm Design
Design and implement machine learning algorithms for classification, regression, and clustering applications.
Data Processing
Clean, transform, and preprocess datasets to prepare them for effective machine learning model training.
Neural Networks
Develop and optimize neural network architectures for solving complex pattern recognition problems.
Deep Learning
Apply deep learning frameworks to create solutions for computer vision, NLP, and other advanced AI domains.
Model Evaluation
Critically assess machine learning models using appropriate metrics and validation techniques.
Career Prospects

AI/ML Engineer

Data Scientist

Deep Learning Engineer
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 |
|---|---|
| Dr. Satish Sankaye | Associate Professor |
| Mr. Kiran S. Patil | Assistant Professor |
| Dr. Sandip Sopanrao Thorat | Assistant Professor |
| Mr. Ashish A. Bhalerao | Assistant Professor |
Department Infrastructure

Computer LAB
Modern Computer Lab with high-speed internet and latest software tools to support research, academic work, and digital learning for students.

Animation Studio
Equipped with advanced tools and software, the Animation Studio offers hands-on training in design, visual effects, and creative content development.

Research LAB
Dedicated Research Lab fosters innovation and inquiry through advanced equipment, supporting faculty and students in multidisciplinary research projects.

Conference Hall
Spacious Conference Hall with audio-visual systems for hosting seminars, guest lectures, academic meetings, and collaborative learning sessions.

Library
The library offers a wide range of books, journals, and e-resources in a quiet, study-friendly space that promotes research and academic excellence.

IQAC CELL
IQAC Cell ensures quality enhancement through regular assessment, planning, and implementation of academic and administrative improvements in the institute.