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The MSc in Data Science at Aarhus University equips you with both general and specific competencies through a flexible structure.
During the programme, you will complete three core courses covering advanced statistical learning, large-scale optimisation, and data visualisation. In addition, you choose one of five 30 ECTS specialisation packages:
Computational Statistics
Data-Intensive Systems
Finance and FinTech
Signal Processing
Business Intelligence
The programme is interdisciplinary, drawing on expertise from the Departments of Mathematics, Computer Science, Economics and Business Economics, and Electrical and Computer Engineering. You will work with real-world data challenges and cutting-edge methods throughout your studies.
As a Data Science student, you will benefit from a strong research environment, a vibrant student community, and access to excellent facilities.
Career:
Graduates work in a wide range of companies and organisations: the wind turbine industry, consultancy firms, pharmaceutical companies, telecommunications, food, and healthcare. Many also pursue PhDs and careers in research and academia.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc in Data Science at Aarhus University equips you with both general and specific competencies through a flexible structure.
During the programme, you will complete three core courses covering advanced statistical learning, large-scale optimisation, and data visualisation. In addition, you choose one of five 30 ECTS specialisation packages:
Computational Statistics
Data-Intensive Systems
Finance and FinTech
Signal Processing
Business Intelligence
The programme is interdisciplinary, drawing on expertise from the Departments of Mathematics, Computer Science, Economics and Business Economics, and Electrical and Computer Engineering. You will work with real-world data challenges and cutting-edge methods throughout your studies.
As a Data Science student, you will benefit from a strong research environment, a vibrant student community, and access to excellent facilities.
Career:
Graduates work in a wide range of companies and organisations: the wind turbine industry, consultancy firms, pharmaceutical companies, telecommunications, food, and healthcare. Many also pursue PhDs and careers in research and academia.
Admission Requirements
180+
83+
6.5+
Depending on your educational background and your qualifications, there are different ways to meet the admission requirements:
1. International and other qualifications This section is relevant for you, if you have:
a Bachelor's degree or equivalent from an institution outside of Denmark or
a Bachelor's degree or equivalent from a Danish institution, which does not ensure you a 'Legal right of admission´ or 'Direct admission'.
The two sections listed below are relevant only for students with a bachelor's degree from a Danish institution:
MSc in Data Science
Aarhus Campus, Aarhus, Denmark
24 monthsProgramme duration
16,300 EURTuition Fee/year
1Scholarships
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc in Data Science at Aarhus University equips you with both general and specific competencies through a flexible structure.
During the programme, you will complete three core courses covering advanced statistical learning, large-scale optimisation, and data visualisation. In addition, you choose one of five 30 ECTS specialisation packages:
The programme is interdisciplinary, drawing on expertise from the Departments of Mathematics, Computer Science, Economics and Business Economics, and Electrical and Computer Engineering. You will work with real-world data challenges and cutting-edge methods throughout your studies.
As a Data Science student, you will benefit from a strong research environment, a vibrant student community, and access to excellent facilities.
Career:
Graduates work in a wide range of companies and organisations: the wind turbine industry, consultancy firms, pharmaceutical companies, telecommunications, food, and healthcare. Many also pursue PhDs and careers in research and academia.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc in Data Science at Aarhus University equips you with both general and specific competencies through a flexible structure.
During the programme, you will complete three core courses covering advanced statistical learning, large-scale optimisation, and data visualisation. In addition, you choose one of five 30 ECTS specialisation packages:
The programme is interdisciplinary, drawing on expertise from the Departments of Mathematics, Computer Science, Economics and Business Economics, and Electrical and Computer Engineering. You will work with real-world data challenges and cutting-edge methods throughout your studies.
As a Data Science student, you will benefit from a strong research environment, a vibrant student community, and access to excellent facilities.
Career:
Graduates work in a wide range of companies and organisations: the wind turbine industry, consultancy firms, pharmaceutical companies, telecommunications, food, and healthcare. Many also pursue PhDs and careers in research and academia.
Admission Requirements
1. International and other qualifications
This section is relevant for you, if you have:
- a Bachelor's degree or equivalent from an institution outside of Denmark or
- a Bachelor's degree or equivalent from a Danish institution, which does not ensure you a 'Legal right of admission´ or 'Direct admission'.
The two sections listed below are relevant only for students with a bachelor's degree from a Danish institution:2. Legal right of admission
3. Direct admission
Tuition fees
Domestic
International
Scholarships
Danish State Scholarship
Value
100% tuition fee waiver
Deadline
15 Jan 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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