Online MSc (Data Science) From Shanmugha Arts Science Technology & Research Academy (SASTRA)

Venture into the field of Online Master of Science (Data Science) from Shanmugha Arts Science Technology & Research Academy (SASTRA), India. This is UGC-entitled / AICTE-approved / NAAC-accredited online MSc Data Science enables learners to acquire in-demand skills, industry-specific expertise and expand their understanding of diverse aspects of this versatile domain to excel in various roles.

The comprehensive curriculum of this online MSc with a focus on Data Science covers core industry relevant subjects, ensuring a strong foundation in both theory and practical application. Experience the flexibility of learning from anywhere with access to high-quality study materials, live and recorded classes by expert faculty, interactive discussion forums, e-libraries, case studies, quizzes, etc., enabling you to learn at your own pace while staying connected to a vibrant academic community.

SASTRA Online represents the digital education initiative of Shanmugha Arts Science Technology & Research Academy (SASTRA), a UGC-entitled university accredited with NAAC A++. Through its online programs, SASTRA extends academically rigorous postgraduate education using a structured, technology-driven learning model recognised across India.

The Online Master of Science (Data Science) is a postgraduate program designed to develop strong analytical reasoning, statistical expertise, and data-centric problem-solving capabilities. The program focuses on building conceptual clarity in data science while enabling learners to apply computational techniques, machine learning methods, and research-oriented thinking in professional contexts.

What You Can Expect

• University-approved framework with semester progression

• Focus on mathematics, statistics, and data analytics

• Integrated theory, labs, electives, and project work

• Assessments aligned with postgraduate academic norms

Why Choose the Online M.Sc. (Data Science) at SASTRA Online?

The Online M.Sc. (Data Science) at SASTRA Online offers a postgraduate structure focused on academic depth, formal evaluation, and systematic learning progression.

Key Advantages

Curriculum Structure of Online M.Sc. (Data Science) at SASTRA Online

The Online M.Sc. (Data Science) is delivered over 4 semesters, combining core subjects, advanced analytical methods, electives, and a final research project.

Semester 1

• Probability & Statistics using R

• Mathematics for Data Science

• Python for Data Science

• Artificial Intelligence & Reasoning

• Applied Multivariate Analysis

Semester 2

• Machine Learning

• Big Data Mining & Analytics

• RDBMS, SQL & Visualisation

• Data Mining Techniques

• RDBMS, SQL, Visualisation & Analytics Laboratory

• Research Methodology & IPR

Semester 3

• Deep Learning & Applications

• Predictive Analytics Regression & Classification

• Ethics & Data Security

• Elective I

• Elective II

Semester 4

• Machine Vision

• Elective III

• Elective IV

• Project Work & Viva Voce

Electives for Semester 3 and 4:

• Algorithmic trading

• Bayesian data analysis

• Financial data analysis

• Healthcare data analytics

• Data science for structural biology

• Epidemiological Modelling

• Social Networks & Graph Analysis

• Spatial Data Analytics

• Information Visualization

• Image processing & Analysis

• Speech & Video processing

• Information Retrieval & Natural Language Processing

• Energy Systems Modelling & Analysis for Data Science

Note: Learners should always check the official MBA page for updated curriculum details.

Learning Outcomes

After completing the Online M.Sc. (Data Science) at SASTRA Online, learners will be able to:

• Design data workflows for collection, processing, and validation

• Apply ethical and regulatory considerations in data usage

• Select appropriate analytical approaches for domain-specific problems

• Execute independent projects using structured academic methodology

• Communicate data findings through formal reports and presentations

Eligibility Criteria to Enrol in the Online M.Sc. (Data Science) at SASTRA Online

Applicants must possess a bachelor’s degree (10+2+3 or 10+2+4) or equivalent from a recognised university, with prior exposure to Mathematics or Statistics as part of their academic background.

Admission Process for Online M.Sc. (Data Science) at SASTRA Online

The admission process is conducted entirely online:

1. Access the official SASTRA Online admissions portal

2. Fill out the application form with academic and personal information

3. Upload required educational and identity documents

4. Complete the applicable fee payment

5. Receive confirmation along with LMS login credentials

Documents Required

• Academic transcripts and degree certificates

• Valid government-issued identity proof

Duration and Fees for the Online M.Sc. (Data Science) at SASTRA Online

The Online M.Sc. (Data Science) spans 2 years (4 semesters) with flexible payment options available.

Discounted yearly fee is also available for a limited time offer.

Note: Learners should verify fee details and scholarship options on the official website as they may change over time.

Learning Format and LMS Features

The Online M.Sc. (Data Science) is delivered through SASTRA Online’s digital learning platform, which offers:

• Recorded lectures designed for self-paced learning

• Downloadable academic materials and reference resources

• Online assessments and progress monitoring tools

• Academic interaction through scheduled webinars and mentoring support

Career Opportunities After an Online M.Sc. (Data Science) at SASTRA Online

Graduates of the program can explore a range of data-centric professional roles across industries.

Note: Salaries vary based on experience, location, employer, and demand.

Placement and Career Support

SASTRA Online provides career-oriented guidance to help learners transition from academics to professional environments. Support services include:

• Career readiness and professional skill development sessions

• Resume and profile enhancement guidance

• Interview preparation and employability training

• Structured career counselling and job search support