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M.Sc. in Data Science

About the Program

The M.Sc. in Data Science is a 2-year postgraduate program that equips students with advanced knowledge in statistical analysis, machine learning, and computational techniques for deriving insights from complex and large-scale datasets. The curriculum integrates theoretical foundations with hands-on training in programming, data processing, visualization, and predictive modelling.

Emphasis is placed on problem-solving, analytical reasoning, and ethical decision-making, enabling graduates to design and implement data-driven solutions in diverse sectors including business, technology, healthcare, and public policy.

PEOs

  • PEO 1: To develop advanced proficiency in statistical modelling, machine learning, and data analytics.
  • PEO 2: To apply computational programming and big-data technologies for solving domain-specific problems.
  • PEO 3: To interpret complex data and generate actionable insights for informed decision-making.
  • PEO 4: To uphold ethical principles in data handling, privacy, and AI deployment.

Eligibility

B.Sc. (Hons.) or equivalent in Mathematics, Statistics, Computer Science, or related fields with at least 50% marks, plus JET (JIS University Entrance Exam).

Career Path

Career Paths After Completing an M.Sc. in Data Science
  • Data Scientists / Data Analysts: Roles in analyzing and interpreting large datasets for actionable insights.
  • Machine Learning Engineers: Designing and deploying intelligent algorithms for automation and prediction.
  • Business Intelligence Specialists: Building dashboards and visualizations to support strategic decisions.
  • AI Researchers and Modellers: Advancing artificial intelligence applications in diverse industries.
  • Quantitative Analysts: Applying data-driven models in finance, healthcare, and technology sectors.

Syllabus