Program Image

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

ParticularsAmountRemarks
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
AI/ML Engineer
Data Scientist
Data Scientist
Deep Learning Engineer
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 NameDesignation
Dr. Satish SankayeAssociate Professor
Mr. Kiran S. PatilAssistant Professor
Dr. Sandip Sopanrao ThoratAssistant Professor
Mr. Ashish A. BhaleraoAssistant Professor

Department Infrastructure

Computer LAB

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

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

Research LAB

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

Conference Hall

Conference Hall

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

Library

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

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