M.SC. Data Science
January 4, 2024 2026-03-21 12:42M.SC. Data Science
Welcome to M.Sc Data Science

M.Sc Data Science
An education at SSPU has limitless possibilities. Our courses are taught by esteemed faculty members..
Eligibility Criteria for Indian Nationals
- Candidates having 50% aggregate marks from any recognized University in India or abroad recognized by UGC / AIU in any of the following programme are eligible to apply:
B.Sc. (Data Science) / B.Sc. (Comp. Sci.) / B.Sc. (IT) / BCA / or UG Degree in All Engineering or Technology in CSE / IT / ECE / EEE / E&I. Mathematics/Statistics/Equivalent subject as a minor with any other major subject should be mandatory either at the 12th standard or at the graduation level & at least 45% marks, in case of reserved categories, EWS & PWD Students belonging to Maharashtra state only)
OR
B.Sc. (Statistics / Mathematics / Chemistry / Physics / Electronics), UG Degree in Engineering or Technology in Mechanical / ECE / EEE/ E&I. Mathematics/Statistics/Equivalent subject as a minor with any other major subject should be mandatory either at the 12th standard or at the graduation level.
2. Candidates will be selected based on their performance in the selection process as set by SSPU. Selected Students will be granted for provisional admission.
3. The final Merit list shall be prepared on the basis of their performance in the selection process as set by SSPU.
Eligibility Criteria for Foreign/NRI Students
Eligibility Criteria for Foreign/NRI Students:
1) Candidates having 50% aggregate marks from any recognized University in India or abroad recognized by UGC / AIU in any of the following programme are eligible to apply:
B.Sc. (Data Science) / B.Sc. (Comp. Sci.) / B.Sc. (IT) / BCA / or UG Degree in Engineering or Technology in CSE / IT / ECE / EEE / E&I
OR
B.Sc. (Statistics / Mathematics / Chemistry / Physics / Electronics), UG Degree in Engineering or Technology in Mechanical / ECE / EEE/ E&I along with:
1. Candidates will be selected based on their performance in the selection process as set by SSPU.A student can exit the M. Sc. Data Science programme with PG Diploma in Data Science after one year.
2. Student must obtain an equivalent certificate from the Association of Indian Universities (AIU). All foreign qualifications need to be verified from Association of Indian Universities (AIU).
3. The application format is available on AIU website link
https://www.aiu.ac.in/documents/index/downloads/evaluation%20f orm.pdf by the candidate before seeking provisional admission.
Exit Policy after one year
- A student can exit the M. Sc Data Science programme with PG Diploma in Data Science after one year
Lateral Entry
Eligibility Criteria for Indian Nationals:
PG Diploma in Data Science / AI / Data Science & AI from any recognized university / Institute.
Eligibility Criteria for NRI / International Students
PG Diploma in Data Science / AI / Data Science & AI from any recognized university/Institute.
Student must obtain an equivalent certificate from the Association of Indian Universities (AIU). All foreign qualifications need to be verified by Association of Indian Universities (AIU).
| Semester | Subject Name | Credits |
|---|---|---|
| Sem I | Principles of Data Science | 2 |
| Sem I | Programming for Data Science | 4 |
| Sem I | Essential Mathematics for Data Science | 4 |
| Sem I | RDBMS Techniques | 3 |
| Sem I | Data Engineering | 3 |
| Sem I | Applied Statistics for Data Science | 4 |
| Sem I | Innovation Leadership and Design Thinking | 2 |
| Sem II | Linear Models in Data Science | 3 |
| Sem II | Multivariate Analysis | 4 |
| Sem II | Artificial Intelligence for Data Science | 3 |
| Sem II | Data Visualization | 3 |
| Sem II | Big Data and Data Clouds | 3 |
| Sem II | Data Mining and Machine Learning | 4 |
| Sem II | Internship | 8 |
| Sem II | Career Advancement Skills | 2 |
| Sem III | Natural Language Processing | 3 |
| Sem III | Time Series Analysis and Forecasting Techniques | 3 |
| Sem III | Introduction to Stochastic Modelling | 3 |
| Sem III | Deep Learning | 3 |
| Sem III | Marketing Analytics using AI | 3 |
| Sem III | Elective | 3 |
| Sem IV | Dissertation | 14 |
| Total Credits | 84 | |
Fee Details For Indian Student
| (New Admission – 2026-27) | ||||
| Caution Money | Academic Fees | Total Fees | 1st Installments | 2nd Installments |
| At the time of Admission | Due Date – 31-10-2026 | |||
| 10,000 | 2,29,500 | 2,39,500 | 1,32,000 | 1,07,500 |
| (Existing Students-2026-27) | ||||
| Academic Fees | 1st Installments | 2nd Installments | ||
| Due Date – 31-07-2026 | Due Date – 31-10-2026 | |||
| 2,29,500 | 1,22,000 | 1,07,500 | ||
| Hostel Charges | ||
| 1 | 2 Seater Non-AC Rooms | 2,05,000 |
| 2 | Hostel Caution Money (Refundable) | 15,000 |
Fee Deatils For NRI Student
| 1st Year (New Admission) | ||||
| Caution Money | Academic Fees | Total Fees | 1st Installments | 2nd Installments |
| At the time of Admission | Due Date – 31-10-2026 | |||
| 10,000 | 2,69,500 | 2,79,500 | 1,52,000 | 1,27,500 |
| 2nd Year Onwards (Existing Students) | ||||
| Academic Fees | 1st Installments | 2nd Installments | ||
| Due Date – 31-07-2026 | Due Date – 31-10-2026 | |||
| 2,69,500 | 1,42,000 | 1,27,500 | ||
| Hostel Charges | ||
| 1 | 2 Seater Non-AC Rooms | 2,05,000 |
| 2 | Hostel Caution Money (Refundable) | 15,000 |