Admission requirements DS

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Admission requirements Data Science

To apply for the MSc in Data Science you need:

A university bachelor's degree or a professional bachelor's degree relating to data science. It must include specific skills in certain areas.
You find the specific requirements below.

English proficiency corresponding to B-level with a minimum of 3,0 in grade point average.
If you hold another comparable degree (e.g. an international education), which is comparable to a university or professional bachelor’s degree, the ITU will make an individual assessment of the education in question.

The following programme gives legal right to admission to Data Science:

Data Science (ITU)

Programmes that automatically meet the specific requirements:
ITU compiled a list of Danish bachelor programmes that automatically meet the specific admission requirements for the MSc in Data Science.

Data Science (AAU)
Data Science (AU)
Machine Learning and Data Science (KU)
Artificial Intelligence and Data (DTU)

If your bachelor programme is not shown above, you will be asked to explain how you meet the specific requirements.

SPECIFIC REQUIREMENTS

Specific requirements for MSc programme in Data Science at ITU

Your bachelor must cover all the topis listed in the box below:
The BSc programme in Data Science from ITU covers the following topics.

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)

YOUR BACHELOR GIVES LEGAL RIGHT TO ADMISSION

You must apply before the deadline 1 March.
You need not upload any other application material.

Please note, if you have previously been enrolled on a master level programme, without completing, it is your duty to upload a transcript together with course descriptions for the courses you passed (links or scanned documents). We must assess whether to give you a starting credit transfer on the basis of what you passed.

Documentation must be in English or one of the Nordic languages.