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Online M.Sc

Master of science at Sastra Online

Online2 Years₹1,40,000Intake: Jan, JulyLast Updated: 6 Oct, 2026

The M.Sc (Data Science) program from SASTRA Online is a 2‑year (4 semester) master’s degree designed to equip students with advanced theoretical knowledge and practical skills in data science. It covers key topics like statistical analysis, machine learning, big data, AI, data visualization, and more. The course is structured to combine rigorous academics with project‑based learning, enabling learners to apply data science techniques to real-world problems. It’s ideal for graduates who want to build a career in data science, analytics, business intelligence, or research.

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Employment & Industry Placements

Career Scope & Job Profiles after Online M.Sc from Sastra University Online

High-demand career tracks, typical compensation ranges, and recruitment sectors.

Average Starting Salary₹4 - 12 LPADepends on specialization & experience
Top Hiring SectorsBFSI, Tech & ConsultingMNCs & Global Capability Centers
Placement Assistance100% Career SupportResume review & mock interviews

Prominent Job Roles

Business Intelligence (BI) Analyst

5-9LPA

Converts business data into visual insights using BI tools. Helps companies understand performance and improve strategies.

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Data Analyst

4-8LPA

Collects, cleans, and analyzes data. Creates dashboards and reports using SQL, Excel, Power BI, and Tableau to support decision-making.

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Data Scientist

7-15LPA

Builds machine learning models, analyzes large datasets, finds patterns, and provides business insights using Python, ML algorithms, and statistics.

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Data Engineer

6-12LPA

Builds & manages data pipelines, ETL processes, and databases. Ensures clean, secure, and organized data for analytics teams.

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Machine Learning Engineer

6-14LPA

Designs, trains, and deploys machine learning algorithms for predictive applications like forecasting, recommendations, and automation.

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Core Competencies & Skills Acquired

Statistical Analysis – Interpreting and analyzing data using statistical methodsProgramming for Data Science – Proficiency in Python, R, and other toolsMachine Learning – Applying ML algorithms to real-world problemsBig Data Analytics – Handling large datasets with tools like Hadoop and SparkPredictive Modeling & Data Mining – Building models to forecast trends and extract patterns