MSc Data Science program revolves around major disciplines of Calculus, C-Programming, and Descriptive Statistics. Latest technologies such as Python, ML, DL, and Spark are also taught thoroughly in the program.
The semester-wise syllabus for Data Science is as follows.
Semester I | Semester II |
Mathematics for Spatial Science | Spatial Big Data and Storage Analytics |
Applied Statistics | Data Mining and Algorithms |
Fundamentals of Data Science | Machine Learning |
Python Programming | Advanced Python Programming for Spatial Analytics |
Introduction to Geospatial Technology | Image Analytics |
Programming for Spatial Sciences | Spatial Data Base Management |
Business Communication | Flexi-Credit Course |
Cyber Security | - |
Integrated Disaster Management | - |
Semester III | Semester IV |
Spatial Modeling | Industry Project |
Summer Project | Research Work |
Web Analytics | - |
Artificial Intelligence | - |
Flexi-Credit Course | - |
Predictive Analytics and Development | - |
There are electives as well which you need need to choose to complete your credits. Usually, the electives on offer for Data Science are as follows.
MSc Data Science Electives | |
Deep Learning | IOT Spatial Analytics |
System Dynamic Simulation | Spatial User Interface Design and Implementation |
Genomics | Research Modeling and Implementation |
Multivariate Analysis | Programming for Data Science |
Stochastic Process | Hadoop |
Image and Video Analytics | Internet of Things |
Exploratory Data Analysis | Identification of Data Collection |
Python Programming, Deep Learning, R Programming, Cloud Programming, Multivariate Analysis are some of the common Data Science subjects.