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M.Sc - Data Science Syllabus & Subjects 2025: Semester-wise List, Top Colleges Syllabus PDF

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M.Sc - Data Science: Course Syllabus

The Core Syllabus includes 

 

Semester I

 

  • Introduction to Geospatial Technology
  • Programming for Spatial Sciences
  • Business Communication
  • Cyber Security
  • Mathematics for Spatial Sciences
  • Applied Statistics
  • Fundamentals of Data Science
  • Python Programming
  • Integrated Disaster Management. 

 

Semester II

 

  • Machine learning
  • Advanced Python Programming for Spatial Analytics
  • Image Analytics
  • Spatial Big Data and Storage Analytics
  • Data Mining and Algorithms
  • Spatial Data Base Management
  • Flexi - Credit Course. 

 

Semester III

 

  • Web Analytics
  • Artificial Intelligence
  • Flexi - Credit Course
  • Spatial Modeling
  • Summer Project
  • Predictive Analytics and Development. 

 

Semester IV

 

  • Industry Project
  • Research Work. 

 

M.Sc Data Science Electives

 

  • Exploratory Data Analysis
  • Multivariate Analysis
  • Stochastic Process
  • Programming for Data Science in R
  • Hadoop
  • Image and Video Analytics
  • Internet of Things
  • Deep Learning
  • System Dynamics Simulation
  • IOT Spatial Analytics
  • Spatial User Interface Design and Implementation
  • Research Modelling and Implementation Genomics
  • Identification and Data Collection. 

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