MS Data Science - Computational Methods
Course Overview
This Master's in Data Science equips you with the advanced technical and computational skills needed to tackle complex challenges in big data analytics. The program offers flexible on-campus and online formats, both designed to provide a comprehensive, career-launching education with access to expert faculty and extensive resources. You will learn to manage and analyze complex datasets, develop predictive models to inform decision-making, and effectively communicate your findings to diverse audiences.
Key Program Highlights
- Master advanced computational techniques for big data analytics
- Choose between flexible on-campus and immersive online learning formats
- Gain 100% access to essential software, faculty advisors, and career services
- Learn to develop data-driven models that support critical decision-making
- Build skills to translate complex analytical results for a non-technical audience
Course Overview
This Master's in Data Science equips you with the advanced technical and computational skills needed to tackle complex challenges in big data analytics. The program offers flexible on-campus and online formats, both designed to provide a comprehensive, career-launching education with access to expert faculty and extensive resources. You will learn to manage and analyze complex datasets, develop predictive models to inform decision-making, and effectively communicate your findings to diverse audiences.
Key Program Highlights
- Master advanced computational techniques for big data analytics
- Choose between flexible on-campus and immersive online learning formats
- Gain 100% access to essential software, faculty advisors, and career services
- Learn to develop data-driven models that support critical decision-making
- Build skills to translate complex analytical results for a non-technical audience
Requirements
Modules
- Discrete Structures For Computer Science
- Introduction To Programming
- Data Structures I
- Data Structures Ii
- Systems I
- Systems Ii
- Applied Algorithms And Structures
- Distributed Systems I
- Concepts Of Programming Languages
- Principles Of Database Management Systems
- Object-Oriented Software Development
- Architecture Of Real-Time Systems
- Software And Systems Development
- Theory
- Data Science
- Database Systems
- Artificial Intelligence
- Software Engineering
- Game And Real-Time Systems
- Human-Computer Interaction
- Research Colloquium
- Master'S Research
- Master'S Thesis
- Graduate Internship
