MS Data Science - Marketing

Tuition fee
Apply by
Start date
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 required to tackle complex challenges in big data analytics. The program offers flexible on-campus and online formats, both designed to provide a comprehensive education and launch your career in the field. You will learn to manage and analyze complex datasets, develop models to inform decision-making, and effectively communicate insights to diverse audiences.

Key Program Highlights

  • Master advanced computational skills for big data analytics
  • Choose between flexible on-campus and interactive online learning formats
  • Gain 100% access to essential software, faculty advisors, and career services
  • Learn to develop data science models that drive strategic decision-making
  • Build the ability to communicate complex results to a non-technical audience

Requirements

The requirements may vary based on your selected study options.





















Modules

  • Introduction To Programming
  • Tools And Techniques For Computational Analysis
  • Statistics And Data Analysis
  • Fundamentals Of Data Science
  • Python Programming
  • Data Visualization
  • Database Processing For Large-Scale Analytics
  • Machine Learning I
  • Applied Deep Learning
  • Ethics In Artificial Intelligence
  • Health Data Science Or Advanced Modeling And Analysis Techniques
  • Introduction To Health Informatics Or Healthcare Systems And Data
  • Digital Health
  • Public Health Informatics
  • Mobile Health (Mhealth)
  • Programming Interactive Data Visualization For The Web
  • Monte Carlo Algorithms
  • Topics In Computer Science
  • Advanced Modeling And Analysis Techniques
  • Time Series Analysis And Forecasting
  • Advanced Biostatistics
  • Survival Analysis
  • Generalized Linear Models
  • Bayesian Statistics
  • Probability And Statistics I
  • Operations Research: Optimization Theory
  • Introduction To Image Processing
  • Applied Image Analysis
  • Computer Vision
  • Spatial Databases And Geographic Information Systems
  • Geographic Information Systems (Gis) For Community Development
  • Geographic Information Systems (Gis) For Sustainable Urban Development
  • Information Visualization And Infographics
  • Recommender Systems
  • Advanced Deep Learning
  • Artificial Intelligence Ii
  • Natural Language Processing
  • Topics In Artificial Intelligence
  • Programming Machine Learning Applications
  • Machine Learning Ii
  • Machine Learning Engineering For Production (Mlops)
  • Database Programming
  • Intelligent Information Retrieval
  • Web Data Mining
  • Data Warehousing
  • Enterprise Data Management
  • Special Topics In Organizational Communication
  • Computational Advertising
  • Topics In Data Analysis
  • Social Network Analysis
  • Health Data Science
  • Information Technology Consulting
  • Business Intelligence And Analytics Systems
  • Health Sector Management
  • Special Topics
  • Analytical Tools For Marketers
  • Marketing Management
  • Digital Business Strategy
  • Digital Marketing Analytics And Planning
  • Special Topics
  • Data Analytics Project
  • Data Science Capstone Course
  • Analytics Internship
  • Master’S Thesis
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Tuition fee
Apply by
Start date
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