Admission requirements for Data Science
To apply for the MSc in Data Science you need:
- English proficiency corresponding to B-level with a minimum of 3.0 in grade point average.
If you have a comparable education (e.g., a international education) that is equivalent to a bachelor's or professional bachelor's degree, ITU will make an individual assessment of the education when you apply.
How to document your educational background
Please note that work experience is not taken into account.
Academic subject requirements
Everyone applying to Data Science must fill out a form of compliance (except applicants with legal right).
Programmes that automatically meet the specific requirements
ITU compiled a list of Danish bachelor programmes that automatically meet the academic subject requirements for MSc in Data Science. If you studied one of the programmes listed below, you do not need to document your subjects in the form of compliance.
- Data Science (AAU)
- Data Science (AU)
- Machine Learning and Data Science (KU)
- Artificial Intelligence and Data (DTU)
If you bachelor programme is not on the list, you must document in the form of compliance, how you meet the academic subjects requirements listed below.
| Requirements | ECTS |
1: Linear algebra | 5 |
| Vectors and matrices, vector and matrix operations incl. eigenvalues and eigenvectors Course example:
Linear Algebra and Optimization BSLIALO1KU (7,5 ECTS) | |
2: Algorithms and data structures | 5 |
| Big-O notation, basic analysis of algorithm correctness and complexity, hashing, basic data structures including graphs Course example:
Algorithms and Data Structures BSALDAS1KU (7,5 ECTS)
| |
3: Introduction to machine learning | 5 |
| E.g., linear regression, logistic regression, kernel methods, neural networks, unsupervised learning Course example:
Machine Learning BSMALEA1KU (15 ECTS)
| |
4: Probability theory and statistics | 10 |
| E.g., random variables, transformation of variables, joint and conditional distributions, independence, estimation, sampling, hypothesis testing Course example:
Introduction to Probability BSFOPRO1KU (7,5 ECTS) and Applied Statistics BSAPSTA2KU (15 ECTS)
| |
5: Introduction to programming | 10 |
| At least Python or similar Course example:
Introduction to Data Science and Programming BSINDSP1KU (15 ECTS)
| |
6: Introduction to database design and systems | 5 |
| Design and use of relational databases, basic data analytics, basic SQL Course example:
Introduction to Database System BSINDBS2KU (7,5 ECTS) | |
Application materials
You must upload the following documents with your application:
How we evaluate your application
All applications that meet specific requirements for the programme will be assessed based on an overall evaluation. Your grades will account for 50% of the evaluation, while the overall assessment of your educational background and application materials make up the remaining 50%.
Tuition and scholarship
Please visit the page about tuition and scholarships for non-European applicants.
How to apply
Get some advice on how to create an application and what you need to have ready before registering in the Application Portal.
HOW TO APPLY