M.Sc. in Data Science

Eligibility: Any Graduate with aptitude in Math & Statistics

Data Science Admission Criteria: Entrance Test + Interview

Duration: 02 Years (04 Semesters)

M.Sc. in Data Science is a 2-y ear post graduate program designed to get in depth understanding with research based methodology about the computational and statistical principles of modern data science and be skilled at the rigorous and ethical application of these techniques to real-world challenges. Enable students to independently initiate their data science projects specified at a high-level perspective, leading them from scoping onward to completion, while exercising appropriate project management methods and maintaining stakeholder engagement.

Modules

  • Advanced Data Structures and Algorithms
  • Math & Statistics for Data Science
  • Applied Mathematics and Informatics
  • Programming Languages for Data Science - Advanced
  • Databases Management for Data Science
  • Data Science Applications & Tools
  • Principal Component Analysis
  • Simulation
  • R for Data Analysis
  • Python
  • Machine Learning
  • Artificial Intelligence
  • Deep Learning
  • Data Mining & Warehousing
  • Big Data Storage and Analytics
  • Data Visualization Techniques
  • Programming for Data Analytics
  • Cloud Computing for Data Science
  • Market Research & Business Analytics
  • Supply Chain Analytics
  • Business Analytics
  • Forecasting Analytics
  • Social Network Analysis
  • Experimentation, Evaluation and Project Deployment Tools

Hands-on Technical Experience

From Data Mining, Machine Learning and Social Web Analytics to Programming for Analytics, Simulation Modeling and Algorithmic Training – dive deep into every aspect of data science. Programming for Data Analytics Cloud Computing for Data Science Market Research & Business Analytics Supply Chain Analytics Business Analytics

Forecasting Analytics Social Network Analysis Experimentation, Evaluation and Project Deployment Tools Business Finance & Accounts.

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