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

Build advanced skills in data analysis, machine learning, and statistical methods with the Online MSc in Data Science program from Shanmugha Arts Science Technology & Research Academy (SASTRA). This postgraduate program is designed for students and working professionals who want flexible, career-focused education in the fast-growing field of data science.

Recognized as a top-ranked university (#29 in NIRF 2025), SASTRA offers a high-quality learning experience with a strong focus on both theory and practical applications. The program covers key areas like data analysis, machine learning, data visualization, Python, R programming, and big data technologies, helping students prepare for real-world data-driven roles.

Program Outcomes

• Advanced Data Science Knowledge: Learn key concepts in data analysis, machine learning, statistics, and big data technologies.

• Analytical & Problem-Solving Skills: Develop the ability to analyze complex data and solve real-world problems.

• Programming Expertise: Gain hands-on experience with tools like Python and R for data-driven solutions.

• Practical Industry Skills: Work on real-world projects and case studies to build a strong professional portfolio.

• Career Readiness: Prepare for roles such as data scientist, data analyst, and machine learning engineer.

Why Choose an Online MSc in Data Science at SASTRA?

• Flexible Learning: Study anytime, anywhere, at your own pace.

• Recognized Degree: Earn a master’s degree from a top-ranked university (NIRF #29).

• Comprehensive Curriculum: Covers data analysis, machine learning, programming, and big data tools.

• Hands-On Learning: Gain practical experience through projects and real-world case studies.

• Career-Focused: Build skills in critical thinking, analytics, and decision-making for high-demand jobs.

Suitable Candidates

• Graduates: Students who want to build a career in data science and analytics.

• Working Professionals: Individuals looking to upgrade their skills in data-driven technologies.

• IT & Tech Enthusiasts: People interested in programming, AI, and machine learning.

• Career Switchers: Candidates planning to move into data science or analytics roles.

• Aspiring Data Scientists: Anyone interested in working with data and solving complex problems.

Online MSc in Data Science: Curriculum

The program is divided into 4 semesters (2 years) covering core data science subjects, advanced technologies, and practical learning.

Semester I

• 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

Semester II

• Machine Learning

• Big Data Mining & Analytics

• RDBMS, SQL & Visualization

• Data Mining Techniques

• RDBMS, SQL, Visualization & Analytics Laboratory

• Research Methodology & IPR

Semester III

• Deep Learning & Applications

• Predictive Analytics (Regression & Classification)

• Ethics & Data Security

• Elective I

• Elective II

Semester IV

• Machine Vision

• Elective III

• Elective IV

• Project Work & Viva Voce

Electives (Semester III & IV)

• 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

Data Science Programming Languages & Tools

• Data Visualization

• Python

• SQL

• Big Data Mining & Analytics

• R

• Machine Learning

• Deep Learning

Eligibility Criteria for Online MSc in Data Science

To enroll in this program, candidates must meet the following requirements:

• Educational Qualification: A bachelor’s degree (10+2+3 or 10+2+4) in any discipline from a recognized university with a background in Mathematics or Statistics.

• Entrance Exam: Not required.

• Age Limit: No upper age limit.

Fees and Duration of Online MSc in Data Science

• Duration: 2 Years (4 Semesters)

• Semester Fee: ₹50,000

• Yearly Fee: ₹85,000 (approx.)

• Total Program Fees: ₹1,40,000 (approx.)

Career Pathways After Online MSc in Data Science

Graduates can explore a wide range of career opportunities in data science and analytics across industries like IT, finance, healthcare, and e-commerce.

Top Job Roles:

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