Overview
The M.Sc. in Data Science for Decision Making at Maastricht University is an innovative programme tailored for individuals eager to delve into the world of data analytics and its applications in decision-making processes. As data continues to proliferate across various sectors, the demand for skilled professionals who can interpret and leverage this data is at an all-time high. This programme not only provides theoretical foundations but also practical experiences that are crucial for success in the field.
Why Data Science for Decision Making at Maastricht University?Maastricht University is renowned for its high academic standards and innovative teaching methods, particularly its Problem-Based Learning (PBL) approach. This method encourages students to engage actively with real-world problems, enhancing their critical thinking and collaborative skills. The university consistently ranks among the top institutions in Europe, making it a desirable choice for students from around the globe. Additionally, the university boasts strong partnerships with various industries, providing students with unique networking opportunities and access to cutting-edge research facilities.
Tuition Fee BreakdownThe tuition fees for the M.Sc. in Data Science for Decision Making are structured as follows:
- International Students: EUR 25,000 per year
- European Students: EUR 2,601 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is designed to provide a comprehensive understanding of data science principles and practices. Key modules include:
- Data Analytics and Visualisation
- Machine Learning Techniques
- Big Data Management
- Statistical Methods for Data Science
- Ethics in Data Science
- Capstone Project in Data Science
This diverse syllabus ensures that students are well-prepared for various roles in the data science landscape.
Careers with Data Science for Decision Making
- Graduates of this programme can expect to find opportunities in numerous sectors, including technology, finance, healthcare, and consultancy. Many alumni have secured positions as data analysts, data scientists, and project managers in prestigious companies, leveraging their skills to drive data-informed decision-making. The programme's emphasis on practical experience and industry connections significantly enhances employability, ensuring that students are ready to meet the demands of the evolving job market.
Accreditation
NVAO accredited
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Data Mining
- Model Identification and Data Fitting
- Algorithms for Big Data
- Planning and Scheduling
- Research Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , EEA/EU
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- Starting
- Apply before , International
- Apply before , EEA/EU
-
Language
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Credits
Delivered
Campus Location
- Maastricht, Netherlands
Disciplines
Data Science & Big Data Artificial Intelligence View 42 other Masters in Artificial Intelligence in NetherlandsExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
The Board of Admissions will consider whether you qualify for admission if you have a bachelor’s degree or an equivalent diploma in a programme such as Mathematics, Computer Science, Technical Data Science, Operations Research, Artificial Intelligence, Eonometrics, Engineering or Physics
You can qualify for admission to the programme if your qualification provides sufficient preparation both in terms of academic level and content. The level of your degree should be equivalent to a bachelor’s degree from a research university in the Netherlands, as well as the national standing of your university and the grades you have obtained.
The required competences are:
- Mathematics: a strong background, including, but not limited to, calculus, linear algebra, discrete mathematics, probability and statistics
- Computer science: basic knowledge of data structures and algorithms, with some programming experience
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents25100 EUR / year≈ 25100 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals2694 EUR / year≈ 2694 EUR / year
Living costs
Maastricht
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science for Decision Making.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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