📖Program Curriculum
Program content
Core courses
You follow these four core courses:
Data Mining for Business and Governance (6 EC)
Data Science Regulation and Law (6 EC)
Machine Learning (6 EC)
Statistics and Methodology (6 EC)
Research skills modules
You choose two of the following research skills modules:
Data Processing (3 EC)
Big Data (3 EC)
Data Processing Advanced (3 EC)
Programming with R (3 EC)
Image Analysis (3 EC)
Spatiotemporal Data Analysis (3 EC)
Elective courses
You choose two electives from the offer that matches your track:
Business
Analytics for Business and Governance
Business Analytics and Emerging Trends*
Business Intelligence and Business Analytics*
Complex Systems
Analysis of Customer Data
Deep Learning
Interactive Data Transformation
Project Management: People and Technology*
Natural Language Processing
Data Science: Sustainability, Privacy and Security
Computational Statistics
Health Analytics
Bayesian Multilevel Models
* There may be a maximum number of students for these three electives. As a result, it cannot be guaranteed that you will be able to take these courses.
Governance
Analytics for Business and Governance
Data Science: Sustainability, Privacy and Security
Governance and Policy Making
Natural Language Processing
Deep Learning
Bayesian Multilevel Models
Media
Complex Systems
Computational Statistics
Deep Learning
Natural Language Processing
Analysis of Customer Data
Health
Complex Systems
Data Science: Sustainability, Privacy and Security
Deep Learning
Health Analytics
Analysis of Customer Data
Computational Statistics
Bayesian Multilevel Models
Master’s thesis / Data Science in Action
You complete the program with a final graduate project, your Master’s thesis, which integrates all relevant aspects of data science in a real life situation. For your thesis research you choose a topic from a cluster of topics linked to your track and previous education. You also have the opportunity to “pitch” a specific thesis topic or bring data and research aims from an external partner.
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