M.Tech. Data Science
By Institute of Information and Communication Technology (IICT)
- Program: Postgraduate (PG)
- Duration: 2 Year(s)
- Intake: 18
Program Outline
The M.Tech Data Science program at IICT is a comprehensive and advanced exploration into the evolving field of data science. This Master's program is designed to deepen students' understanding of complex data analytics, machine learning, and big data technologies. With a focus on both theoretical foundations and practical applications, students delve into specialized areas such as advanced machine learning algorithms, data engineering, and cloud computing.
The curriculum integrates industry-standard tools like Python, R, and Apache Spark. Through collaborative projects, guest lectures from industry experts, and a research-based thesis, students gain the expertise needed for leadership roles in data science, contributing to innovative solutions in various industries and research domains.
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 having domicile of Maharashtra state and/or born in Maharashtra state.
- Passed BCA / B.Sc./ B.Com./ B.A. with Mathematics/Statistics as one of the subjects (at 10+2 level or at Graduation level examination) and obtained at least 50% marks in aggregate (at least 45% in case of candidates of backward class categories and Persons with Disability belonging to Maharashtra State only).
2. All India Candidates
- The Candidate should be an Indian
- Passed BCA / B.Sc./B.Com./ B.A. with Mathematics/Statistics as one of the subjects (at 10+2 level or at Graduation level examination) and obtained at least 50% marks in aggregate (at least 45% in case of candidates of backward class categories and Persons with Disability belonging to Maharashtra State only).
3. NRI Candidate
- Passed BCA/B.Sc./B.Com/ B.A. Or equivalent course with Mathematics as one of the subjects (at 10+2 level or at Graduation Level examination) and obtained at least 50% marks in aggregate.
- NRI Seats are based on AICTE norms.
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.