M.Sc. (Data Science)

The M.Sc in Data Science at Symbiosis Skill and Professional University is a comprehensive postgraduate program designed to develop advanced analytical, technical, and problem-solving skills required to thrive in the data-driven economy.

Duration 2 Years

Students can download brochure to know more about the programme and apply for admissions 2026.

Program Brochure Apply Now

The program equips students with in-depth knowledge of data analysis, machine learning, artificial intelligence, and big data technologies, enabling them to transform complex data into meaningful insights for strategic decision-making.

With a strong emphasis on experiential learning, the curriculum integrates theoretical foundations with practical applications through hands-on labs, industry projects, case studies, and internships. Students are trained to work with real-world datasets using modern tools and technologies such as Python, R, SQL, Hadoop, Spark, and advanced visualization platforms.

The program adopts an interdisciplinary approach, combining statistics, computer science, and domain knowledge to prepare students for diverse industry applications. Key areas of study include advanced machine learning, deep learning, data engineering, predictive analytics, natural language processing, and data visualization.

Through industry collaborations and expert-led sessions, students gain exposure to current trends and best practices in data science. The program also encourages research, innovation, and critical thinking, enabling learners to solve complex business and societal challenges using data-driven approaches.

Graduates of this program are well-prepared for high-demand roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, and AI Specialist across sectors including IT, finance, healthcare, e-commerce, and consulting. The program also provides a strong foundation for pursuing research or doctoral studies in data science and related fields.

Eligibility Criteria

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)

Eligibility Criteria for Foreign/NRI Students

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

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).

Fee Details

Fee Details For Indian Student

1st Year (New Admission)

Caution Money	Academic Fees	NSDC Fees	Total Fees	1st Installments	2nd Installments
				At the time of Admission	Due Date – 31-10-2026
₹10,000	2,15,000	14,500	₹2,39,500	₹1,32,000	₹1,07,500

2nd Year Onwards (Existing Students)

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)

th>NSDC Fees

Caution Money	Academic Fees	Total Fees	1st Installments	2nd Installments
				At the time of Admission	Due Date – 31-10-2026
₹10,000	2,55,000	14,500	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

Note 1 : The University shall remit the NSDC Certification Fees to NSDC and Ethnotech

Note 2 : The academic fee may be increased up to 10% each year, as per the University policy and at the discretion of the Management.

Future Opportunities

Career opportunities include roles such as

Data Administrator

Data Analyst

Data Scientist

Developer

Machine Learning Engineer

Machine Learning Scientist

Applications Architect

Data Architect

Enterprise Architect

Statistician

Business Intelligence Analyst

Apply Now

Curriculum

Semester I

Course Code	Courses	Credit					Hours
Course Code	Courses	L	T	P	S	Total	L	T	P	S	Total
MSDS101	Principles of Data Science	1	0	0	1	2	1	0	0	1	2
MSDS102	Programming for Data Science	1	0	2	1	4	1	0	4	1	6
MSDS103	Essential Mathematics for Data Science	1	1	1	1	4	1	1	2	1	5
MSDS104	RDBMS Techniques	1	1	0	1	3	1	1	0	1	3
MSDS105	Data Engineering	1	0	1	1	3	1	0	2	1	4
MSDS106	Applied Statistics for Data Science	2	0	1	1	4	2	0	2	1	5
IDSCPG01	Innovation Leadership and Design Thinking	0	0	0	2	2	0	0	0	2	2
Total		7	2	5	8	22	7	2	10	8	27

Semester II

Course Code	Courses	Credit					Hours
Course Code	Courses	L	T	P	S	Total	L	T	P	S	Total
MSDS201	Linear Models in Data Science	1	0	1	1	3	1	0	2	1	4
MSDS202	Multivariate Analysis	2	0	1	1	4	2	0	2	1	5
MSDS203	Artificial Intelligence for Data Science	1	0	1	1	3	1	0	2	1	4
MSDS204	Data Visualization	1	0	1	1	3	1	0	2	1	4
MSDS205	Big Data and Data Clouds	1	0	1	1	3	1	0	2	1	4
MSDS206	Data Mining and Machine Learning	1	0	2	1	4	1	0	4	1	6
MSDS207	Internship	0	0	0	8	8	0	0	0	8	8
IDSCPG02	Career Advancement Skills	0	0	0	2	2	0	0	0	2	2
Total		7	0	7	16	30	7	0	14	17	37

Semester III

Course Code	Courses	Credit					Hours
Course Code	Courses	L	T	P	S	Total	L	T	P	S	Total
MSDS301	Natural Language Processing	1	0	1	1	3	1	0	2	1	4
MSDS302	Time Series Analysis and Forecasting Techniques	1	0	1	1	3	1	0	2	1	4
MSDS303	Introduction to Stochastic Modelling	1	0	1	1	3	1	0	2	1	4
MSDS304	Deep Learning	1	0	1	1	3	1	0	2	1	4
MSDS305	Marketing Analytics using AI	1	0	1	1	3	1	0	2	1	4
Elective
MSDS306A	Data Science Applications of Vision	1	0	1	1	3	1	0	2	1	4
MSDS306B	Data Analysis in Economics & Financial Decision Making	1	0	1	1	3	1	0	2	1	4
MSDS306C	Quantitative Genetics	1	0	1	1	3	1	0	2	1	4
MSDS306D	Data Analytics in IoT	1	0	1	1	3	1	0	2	1	4
Total		6	0	6	6	18	6	0	12	6	24

Semester IV

Course Code	Courses	Credit					Hours
Course Code	Courses	L	T	P	S	Total	L	T	P	S	Total
MSDS401	Dissertation	0	0	0	14	14	0	0	0	14	14
Total		0	0	0	14	14	0	0	0	14	14

Apply Now

Program Educational Objectives (PEOs)

Theoretical Knowledge

Attain advanced theoretical and practical competence in data science, AI, and big data analytics for complex problem-solving.

Engage In Applied Research

Engage in applied research, consultancy, and publications contributing to the growth of data science knowledge and applications.

Lifelong learning

Pursue lifelong learning and adapt to emerging technologies and tools in the evolving landscape of data science and AI.

Apply Now

Program Specific Outcomes (PSOs)

01

Design, implement, and optimize advanced data models, predictive analytics, and machine learning solutions.

02

Apply research methodologies, quantitative reasoning, and domain-specific analytics to generate actionable intelligence.

Apply Now

FAQs

What is the duration of the M.Sc Data Science program at SSPU?

The program is a 2-year postgraduate course divided into four semesters, focusing on advanced data science concepts and applications.

Does the program include hands-on training and projects?

Yes, the program emphasizes practical learning through lab work, real-world projects, case studies, and industry-based assignments.

What are the eligibility criteria for admission?

Candidates must have a bachelor’s degree in a relevant field such as Data Science, Computer Science, IT, Mathematics, Statistics, or Engineering from a recognized university.

What key subjects are covered in this program?

The curriculum includes advanced machine learning, deep learning, big data analytics, data engineering, statistical modeling, and artificial intelligence.

What career opportunities are available after completing M.Sc Data Science?

Graduates can pursue roles such as Data Scientist, Machine Learning Engineer, Data Engineer, AI Specialist, and Business Intelligence Analyst.

Are internships or industry exposure provided?

Yes, students get opportunities for internships, industry projects, and expert sessions to gain practical exposure.

What tools and technologies will students learn?

Students will work with tools like Python, R, Hadoop, Spark, SQL, TensorFlow, and data visualization platforms like Tableau and Power BI.

Is placement assistance available at SSPU?

Yes, SSPU provides placement support, career guidance, and industry connections to help students secure suitable job opportunities.

Can students pursue research after this program?

Yes, graduates can opt for research opportunities or pursue Ph.D. programs in Data Science, AI, or related domains.

What makes this program unique at SSPU?

The program offers an industry-oriented curriculum, strong practical exposure, expert faculty, and a focus on emerging technologies in data science and AI.