Data Science for Decision Making
Master the art of extracting insights from complex data sets.
Best for:Ideal for individuals passionate about data analysis and problem-solving in diverse fields.
Overview
The Master's program in Data Science for Decision Making at Transnationale Universiteit Limburg equips students with the mathematical tools necessary to analyze and interpret large data sets. This program is designed for those who enjoy solving intricate problems and discovering patterns within data. Graduates will be well-prepared for careers as data scientists, researchers, or managers across various industries. The curriculum includes a specialization in Quantum Computing, making it unique in the Netherlands.
What you'll do
- Engage in coursework that covers advanced data analysis techniques.
- Participate in projects that apply data science methods to real-world problems.
- Collaborate with peers and faculty on research initiatives.
- Develop skills in programming and statistical analysis.
Requirements
Degree required: Bachelor's degree in a relevant field
Degree offered: Master of Science
Language: English; IELTS 6.5 or TOEFL 90
Instruction: English
- Strong analytical and problem-solving abilities
- Proficiency in programming languages such as Python or R
- Familiarity with statistical analysis and data visualization tools
- Open to international students
- Prior degree in a related field required
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
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- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: 2026-11-01
Interested candidates should visit the program's website for application details. Ensure all required documents are prepared before submission.
- CV
- Cover letter
- Bachelor's degree transcripts
- Language proficiency test results
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