MAASTRICHT UNIVERSITY · NETHERLANDS
Data Science for Decision Making
Master's · Taught in en
At a glance
18 mo
Duration
—
IELTS
—
Tuition / yr
en
Language
Master's
Level
The Master's programme in Data Science for Decision Making (DSDM) at Maastricht University is designed for students who are passionate about solving complex problems and identifying patterns within data. As the volume of data continues to grow, this program equips you with the skills to process information efficiently, preparing you for a career as a data scientist or researcher. You will delve into the core principles and advanced techniques of data science, learning how to extract valuable insights and translate them into actionable decisions. The curriculum is structured to provide a comprehensive understanding of data processing, analysis, and application in various contexts. The program is taught full-time in Maastricht.
Curriculum
The curriculum focuses on providing a strong foundation in data science principles and their application in decision-making processes. The program aims to equip students with both theoretical knowledge and practical skills.
- Year 1
- Year 2
Careers
Graduates are prepared for careers as data scientists or researchers, equipped to process large datasets and derive insights for effective decision-making.
- Data Scientist
- Researcher
Frequently asked questions
- What are the eligibility requirements for the Data Science for Decision Making programme?
- You need a Bachelor's degree equivalent to a Dutch Research University bachelor's, with a strong background in Mathematics and basic Computer Science knowledge. Diplomas from online universities are not accepted.
- How do I apply for the Data Science for Decision Making programme?
- You must apply through Studielink and then complete the MyApplication portal, uploading all required documents like transcripts and English proficiency test results by the specified deadlines.
- What are the application deadlines for the Data Science for Decision Making programme?
- For the September intake, the application deadline for Non-EU/EEA students is May 1st and for EU/EEA/Swiss students it is June 1st. For the February intake, these deadlines are November 1st and December 1st respectively.
- What are the tuition fees for international students?
- International students will pay the institutional rate for tuition fees. Specific amounts should be confirmed via the university's official fee guide for the relevant academic year.
- What are the career prospects after completing this programme?
- Graduates are prepared for roles such as Data Scientist or Researcher, equipped to process large datasets and derive insights for effective decision-making.
- Are there any scholarship opportunities available?
- The university offers scholarships that can provide a tuition fee reduction or living expenses support, assessed based on academic excellence and other factors. You must apply for a UM study programme first and only one UM scholarship can be applied for.
Entry requirements
Bachelor's degree in Mathematics, Computer Science, Technical Data Science, Operations Research, Artificial Intelligence, Econometrics, Engineering or PhysicsSufficient preparation in terms of academic level and content, equivalent to a Dutch Research University bachelor's degree (3 years of WO). Must have passed all bachelor's requirements by 31 August (September intake) or 31 January (February intake).
Specific Bachelor's programmes at Maastricht University, Hasselt University, or Aachen UniversityDirect admission for certain programs (e.g., Data Science and Artificial Intelligence, Econometrics & Operations Research, Computer Science). Admission may be granted based on curriculum for others (e.g., Business Engineering, Maastricht Science Programme, Brain Science).
Degree from a University of Applied Sciences (HBO)Successful completion of a one-semester pre-master's programme may be required.
English proficiency test (TOEFL/IELTS)Not explicitly stated, but results must be submitted by 31 January (February intake) or 31 August (September intake).
Bachelor diplomas from online universities are not accepted. The Board of Admissions assesses applications based on university standing and grades. A credential evaluation by Nuffic may be required for diplomas not listed. Applicants need a strong background in Mathematics (calculus, linear algebra, discrete mathematics, probability, statistics) and basic Computer Science knowledge (data structures, algorithms, programming experience).
Fees
Tuition (international)Institutional rate (for non-EU/EEA students)
Tuition (home)Statutory rate (for EU/EEA/Swiss students)
LivingNot specified.
Tuition fees are subject to change and specific amounts should be confirmed via the university's official fee guide for the relevant academic year. No rights can be derived from the provided information.
How to apply
1. Apply via StudielinkBegin your application by registering on Studielink. For the February intake, applications open on July 1st of the preceding year. For the September intake, applications open on October 1st of the preceding year. Ensure you select 'transnationale Universiteit Limburg (tUL)' and choose the correct starting moment (September or February).
2. Complete the MyApplication PortalAfter applying via Studielink, you will receive access to the MyApplication portal, Maastricht University's application and enrolment platform. Complete all required tasks and upload necessary documents here.
3. Submit Supporting DocumentsUpload all required documents, including transcripts, diplomas, and English proficiency test results (e.g., IELTS, TOEFL) to the MyApplication portal by the specified deadlines.
4. Visa/Residence Permit Application (if applicable)If you require a visa or residence permit (non-EU/EEA nationals), ensure all admission and enrolment tasks are completed well before the visa application deadlines. Maastricht University can only formally apply for your permit after you have met most admission and enrolment requirements.
5. Pay Tuition FeesPay your tuition fees by the recommended deadline. For the February intake, this is January 1st, and for the September intake, it is August 1st.
Scholarships
University ScholarshipsVaries
Accreditation
Not specified.
Frequently asked questions
What are the eligibility requirements for the Data Science for Decision Making programme?
+
You need a Bachelor's degree equivalent to a Dutch Research University bachelor's, with a strong background in Mathematics and basic Computer Science knowledge. Diplomas from online universities are not accepted.
How do I apply for the Data Science for Decision Making programme?
+
You must apply through Studielink and then complete the MyApplication portal, uploading all required documents like transcripts and English proficiency test results by the specified deadlines.
What are the application deadlines for the Data Science for Decision Making programme?
+
For the September intake, the application deadline for Non-EU/EEA students is May 1st and for EU/EEA/Swiss students it is June 1st. For the February intake, these deadlines are November 1st and December 1st respectively.
What are the tuition fees for international students?
+
International students will pay the institutional rate for tuition fees. Specific amounts should be confirmed via the university's official fee guide for the relevant academic year.
What are the career prospects after completing this programme?
+
Graduates are prepared for roles such as Data Scientist or Researcher, equipped to process large datasets and derive insights for effective decision-making.
Are there any scholarship opportunities available?
+
The university offers scholarships that can provide a tuition fee reduction or living expenses support, assessed based on academic excellence and other factors. You must apply for a UM study programme first and only one UM scholarship can be applied for.