MS Data Science - Computational Methods

Tuition fee
Apply by
Start date
Jan 2026
Apr 2026
Jun 2026
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 5 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
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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

The requirements may vary based on your selected study options.





















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Tuition fee
Apply by
Start date
Jan 2026
Apr 2026
Jun 2026
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 5 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs