B.Tech. Data Science
By Institute of Information and Communication Technology (IICT)
- Program: Undergraduate (UG)
- Duration: 4 Year(s)
- Intake: 60
Program Outline
The B.Tech Data Science program at IICT is tailored to empower students with essential skills in data analytics, machine learning, and big data technologies. The curriculum blends theoretical knowledge with hands-on projects, providing a comprehensive understanding of the data science lifecycle.
Students engage with industry-standard tools like Python and TensorFlow, choose specialized tracks, and participate in collaborative projects. Guest lectures from industry experts and a final capstone project ensure graduates are well-prepared for dynamic roles in data science. This program equips them to excel as data scientists, analysts, or pursue advanced studies in this rapidly evolving field, contributing to the ever-growing importance of data-driven decision-making across 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
Foundational Knowledge
Gain a comprehensive understanding of the fundamental principles of data science, including statistics, machine learning, and data analysis.
Analytical Skills
Develop strong analytical skills to interpret, analyze, and extract meaningful information from large and complex datasets.
Problem-Solving with Data
Apply data science techniques to solve real-world problems, demonstrating the ability to handle various types of data and scenarios.
Programming and Tool Proficiency
Acquire proficiency in programming languages and tools essential for data science, such as Python, R, SQL, and data visualization tools.
Machine Learning and Predictive Modeling
Understand and implement machine learning algorithms and predictive models to draw insights and make informed decisions based on data.
Data Management and Processing
Learn efficient methods of data collection, storage, processing, and management in compliance with ethical and legal standards.
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
Data Scientist
Data Analyst
Machine Learning Engineer
Big Data Engineer
Business Intelligence Developer
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.
Industry Collaboration
