Earn Your
M.Sc. Data Science

from a UGC-Recognized University
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Registration Deadline

24th April 2025

Course Duration

Years (4 Semester)

Fee

Rs. 50,000 / Sem.

English

Medium of Instruction

Ranking & Accreditation

About The Programme

The Master of Science (M.Sc.) in Data Science Online degree program is designed to equip students with advanced knowledge and skills in data science, a rapidly growing and in-demand discipline. This program blends theoretical concepts with practical applications, preparing graduates for successful careers in various industries, such as technology, finance, healthcare, and more.

The M.Sc. in Data Science program curriculum covers a wide range of topics essential to the field, including data analysis, machine learning, data visualisation, statistical methods, and big data technologies.

The Data Science Masters program emphasises critical thinking, problem-solving, and analytical skills, preparing graduates to tackle complex data challenges in today's data-driven world. Graduates are well-equipped to pursue roles such as data scientist, data analyst, machine learning engineer, business intelligence analyst, and more.

Programme Highlights

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Prestigious University Degree – Gain a recognized Masters’ degree from top ranked SASTRA University, with a University ranking of #28 in NIRF 2024.

Flexible - Study from anywhere, at your own pace, ideal for working professionals.

Comprehensive Curriculum - Covers data analysis, machine learning, programming languages like Python and R, statistical methods, and big data technologies.

Hands-On Projects - Engage in practical projects and real-world case studies to build a professional portfolio and apply knowledge effectively.

Career Preparation - Gain skills in critical thinking, problem-solving, and data-driven decision-making, positioning graduates for roles like data scientist, machine learning engineer, and more.

Learning Outcome

  • Work as a Data Science professional in the corporate sector, academia, or research organisations.
  • Use, analyse, and visualise data using specialised software tools.
  • Undertake research/investigation independently and display teamwork and leadership skills to solve real-life problems.
  • Apply computing theory, languages, algorithms, mathematical and statistical models, and the principles of optimisation to formulate and use data analysis in diverse sectors.
  • Masters in Data Science experts learn to integrate concepts of data science and mathematics to contribute towards key technologies in data science and business analytics, including data mining, machine learning, visualisation techniques, predictive modelling, and statistics.
  • Engage in lifelong learning and employ technical knowledge and strategies to address economic, environmental, health, national, global, cultural, societal and sustainability issues.

Eligibility Criteria

Graduate/Bachelors degree (10+2+3 or 10+2+4) or equivalent in any discipline but with a background in Mathematics or Statistics, from a recognized university.

Program Objective

  • Train learners to demonstrate proficiency with statistical analysis of data.
  • M.Sc in Data Science equips graduates with the necessary skills to execute statistical analyses with professional statistical software.
  • Enable graduates to create and implement solutions with advanced computing skills addressing data management.
  • Prepare learners to develop the ability to build and assess data-based models.
  • Equip graduates with the capability to design, implement and test computational approaches to develop innovative and effective solutions for diverse sectors.
  • Enable the learners to apply data science concepts and methods to solve problems in the real-world context and communicate these solutions effectively.
  • Online Data Science Masters nurture creativity in graduates to enable them to excel in industry and research organisations.
  • Create technically sound, socially conscious and ethically committed professionals.

Programme Structure

  • Semester 1 (20 Credits)
  • Semester 2 (20 Credits)
  • Semester 3 (20 Credits)
  • Semester 4 (20 Credits)
  • List of Electives I – Proposed for Semester 3
Course Code Subject Credit
MATOL445 Probability & Statistics using R 4
MATOL446 Mathematics for Data Science 4
BINOL522 Python for Data Science 4
INTOL530 Artificial Intelligence & Reasoning 4
MATOL439 Applied Multivariate Analysis 4
Total Credits 20
Course Code Subject Credit
INTOL534 Machine Learning 4
CSEOL614 Big Data Mining & Analytics 4
INTOL413 RDBMS, SQL & Visualization 4
INTOL531 Data Mining Techniques 4
INTOL416 RDBMS, SQL, Visualization & Analytics Laboratory 2
MANOL106 Research Methodology & IPR 2
Total Credits 20
Course Code Subject Credit
CSEOL615 Deep Learning & Applications 4
INTOL418 Predictive Analytics Regression & Classification 4
OEHOL014 Ethics & Data Security 4
XXXXXX Elective I 4
XXXXXX Elective II 4
Total Credits 20
Course Code Subject Credit
ICTOL601 Machine Vision 4
XXXXXX Elective III 4
XXXXXX Elective IV 4
INTOL500 Project Work & Viva Voce 8
Total Credits 20
Elective Group Proposed Sem Course Code Course Name
Electives I Semester III INTOL424 Algorithmic trading
Electives I Semester III INTOL426 Bayesian data analysis
Electives I Semester III INTOL428 Financial data analysis
Electives II Semester III BINOL533 Healthcare data analytics
Electives II Semester III BINOL529 Data science for structural biology
Electives II Semester III MATOL548 Epidemiological Modelling
Electives III Semester IV CSEOL542 Social Networks & Graph Analysis
Electives III Semester IV INTOL419 Spatial Data Analytics
Electives III Semester IV INTOL433 Information Visualization
Electives IV Semester IV CSEOL608 Image processing & Analysis
Electives IV Semester IV ICTOL529 Speech & Video processing
Electives IV Semester IV INTOL427 Information Retrieval & Natural Language Processing
Electives IV Semester IV MATOL549 Energy Systems Modelling & Analysis for Data Science

Data Science Programming Languages

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Data Visualisation

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Python

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SQL

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Big Data Mining & Analytics

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R

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Machine Learning

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Deep Learning

Online Learning Methodology

  • A pre-recorded video of an expert delivering a lesson or presentation on a particular topic.
  • Videos will be uploaded on a weekly basis for 12 weeks.
  • Videos will be available till semester completes.
  • Any time access across devices.
  • Asynchronous mentoring.
  • E-books, lecture notes, PPT and open-source materials.
  • The contents will be a mix of all the above available for the students to use comprehensively.
  • All materials will be made available from day 1 for the entire semester students can download.
  • It can be accessed any time across devices.
  • Synchronous teaching & learning.
  • Students must go through / study the previous three weeks content before sitting for webinars.
  • Each webinar is two hours long and occurs every alternate week of the programme (2, 4, 6, 8, 10, and 12th weeks).
  • This session will be doubt-clearing sessions only of previous weeks content.
  • Each assessment will be MCQs / Descriptive patterns.
  • Totally 6 assessments starting from 3rd week of the programme (3,5,7,9,11,13 weeks).
  • All courses will have 6 assessments out of which best of 5 will be taken into consideration and it is compulsory.

Salient Features

  • Strong brand image of SASTRA in the corporate sector
  • Semester-pattern
  • Interactive learning content and Self Learning Materials (SLM)
  • Personal Contact classes
  • Highly qualified and experienced faculty
  • Affordable fee structure with loan facility at attractive rates
  • Internal Assessment – 30 marks + End semester Exam - 70 marks

Credits Distribution

Semester I II III IV Total
Courses 5 6 5 4 20
Credits 20 20 20 20 80

Programme Fees

For Students in India

Semester Fee

INR 50,000

Yearly Fee

INR 1,00,000
INR 85,000*

Total Programme Fee (2 years)

INR 2,00,000
INR 1,40,000*
*Limited time only! Connect with our admission experts today to secure your Early Bird Discount!
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The above fee is applicable for the July 2025 batch admissions

Fee Includes
  • Interactive learning content and Self Learning Materials (SLM)
  • Live interactive sessions with SASTRA faculty and contact classes as specified
  • Semester exam fees for all 4 semesters
  • Convocation Fee
Fee Does Not Include
  • Re-exam fees for any subsequent attempts
  • Any other administrative charges that are not covered above

Payment Options

Option 1

Make a down payment of Rs.15000 and avail loan/financial assistance for the balance fee.

Option 2

Pay Semester fee on or before the specified last date.

Option 3

Pay the annual fee upfront on or before the specified last date.

Option 4

Pay the full programme fee on or before the specified last date.

Get an M.Sc. Degree from Sastra

Throughout the course, participants will undergo periodic evaluations, including quizzes, class assignments, projects, case analyses, or other objective/subjective assessments as determined by the instructor during class hours.

Timely and successful completion of these evaluation components is essential. Participants are expected to demonstrate active engagement and meet all requirements within the given timelines.

SASTRA University will award a Course Completion Certificate to those who:

  • Successfully complete all assessment components.
  • Meet the specified attendance criteria.

The primary objective of the assignments and projects is to enable participants to apply the conceptual insights gained during the programme to real-world organizational decision-making scenarios.

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Careers after M.Sc. in Data Science

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Data Scientist

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Machine Learning Engineer

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Data Analyst

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Business Intelligence Analyst

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Data Engineer

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AI Research Scientist

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Big Data Analyst

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Quantitative Analyst

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Data Architect

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Statistics Analyst

Top Recruiting Companies

About Sastra University

With a humble beginning in the year 1984, SASTRA's progress in the last 36 years is a testimony to its commitment to building a University as envisaged in its guiding model. Today, SASTRA is one of India's premier institutions offering undergraduate, postgraduate & doctoral programmes in Engineering, Management, Law, Sciences, Humanities and Education. It was conferred Deemed-to-be-University status in 2001 by the University Grants Commission under Section 3 of the UGC Act 1956. SASTRA also has an MHRD-notified off-campus named Srinivasa Ramanujan Centre (SRC) at Kumbakonam.

As a comprehensive University, its teaching programmes are complemented by research engagements, consultancy assignments, training and extension activities. This has been re-accredited by NAAC (fourth cycle) With a maximum grade of 'A++' (3.76/4.00) and is a Category I Institution based on the UGC's categorization of Universities for Graded Autonomy Regulations, 2018. Twelve engineering programmes of SASTRA have been internationally accredited for a period of 9 years by the Institution of Engineering & Technology (IET), UK recognizing SASTRA's academic excellence, In the NIRF ranking, SASTRA has always been placed among the top 40 Universities with a current position of #47 in 2024. It is also recognized as a Scientific & Industrial Research Organization by the Government of India.

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Frequently Asked Questions

To apply for the SASTRA M.Sc in Data Science online program, candidates must hold a graduate degree (10+2+3 or 10+2+4) in any discipline with a background in Mathematics or Statistics from a recognized university. This meets the M.Sc Data Science requirements in India for online and distance learning formats.

The SASTRA M.Sc Data Science fees are ₹50,000 per semester, totaling ₹2,00,000 for 2 years. For the July 2025 admission batch, a limited-time discounted fee of ₹1,40,000 is available, making it one of the most affordable online M.Sc in Data Science programs in India.

Yes, this is a 100% online M.Sc Data Science degree, offering complete flexibility for working professionals. The program supports distance learning through recorded lectures, e-content, webinars, and LMS access. It is ideal for those searching for M.Sc Data Science distance education or online master's degree in Data Science in India.

Graduates of the online Data Science master's program from SASTRA can pursue high-demand roles like:

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • AI and Big Data Consultant

While direct placement support may not be guaranteed, SASTRA’s strong industry reputation and project-based learning approach ensure graduates are well-prepared. Alumni networks and academic guidance support career progression in India's top M.Sc Data Science colleges and tech sectors.

The program spans 2 years (4 semesters). This structure is aligned with most M.Sc in Data Science colleges in India and caters especially to working professionals seeking flexibility and career advancement through a master's degree.

Yes, all study materials—including e-tutorials, lecture notes, PPTs, and webinars—are available 24/7 via the LMS. This makes it ideal for learners exploring online M.Sc Data Science India programs with a self-paced format.

Absolutely. On successful completion of the course and assessments, learners are awarded a UGC-recognized Master of Science (M.Sc) in Data Science degree from SASTRA University, one of the best M.Sc Data Science colleges in India.

No. This program is completely online with no physical attendance needed. It’s perfect for those looking for distance learning M.Sc Data Science programs without compromising on quality.

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