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The first year covers fundamentals in the above subjects, whereas the second year covers machine learning, statistical modelling, databases and optimization techniques. The year ends with a case-based project course where you will be in contact with a research group at the university. The third year allows for a number of electives, where you can broaden your knowledge in a subject of your interest or learn about areas where data science is used. The year concludes with a Bachelor’s project - typically centred around the use of data science methods for solving a real-world challenge.
The department of Data Science has a vibrant student community and a number of student organisations, which organises organise lectures on current topics, study excursions and social events.
Career:
Graduates of the BSc in Data Science often continue with a Master’s degree to deepen their expertise. They are in high demand across industries such as finance, technology, healthcare, telecommunications, and more, helping organisations build data-driven solutions. Some graduates also pursue research careers through a PhD programme.
The first year covers fundamentals in the above subjects, whereas the second year covers machine learning, statistical modelling, databases and optimization techniques. The year ends with a case-based project course where you will be in contact with a research group at the university. The third year allows for a number of electives, where you can broaden your knowledge in a subject of your interest or learn about areas where data science is used. The year concludes with a Bachelor’s project - typically centred around the use of data science methods for solving a real-world challenge.
The department of Data Science has a vibrant student community and a number of student organisations, which organises organise lectures on current topics, study excursions and social events.
Career:
Graduates of the BSc in Data Science often continue with a Master’s degree to deepen their expertise. They are in high demand across industries such as finance, technology, healthcare, telecommunications, and more, helping organisations build data-driven solutions. Some graduates also pursue research careers through a PhD programme.
Admission Requirements
24+
180+
6.5+
83+
6+
Qualifying entry examination You must have a qualifying entry examination. Specific admission requirements You must fulfil the following specific admission requirements:
English B
Mathematics A
B-level is the Danish subject level, not the grade. We assess your subject levels when you apply.
If you do not have a GPA of 6.0 on the Danish 7-point grading scale, then your application can only be assessed in quota 2.
3 Years
Aug
Sep
Tuition fees
Domestic
0 EUR
International
16,300 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
BSc in Data Science
Aarhus Campus, Aarhus, Denmark
# =119QS Subject Rankings
36 monthsProgramme duration
16,300 EURTuition Fee/year
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The first year covers fundamentals in the above subjects, whereas the second year covers machine learning, statistical modelling, databases and optimization techniques. The year ends with a case-based project course where you will be in contact with a research group at the university. The third year allows for a number of electives, where you can broaden your knowledge in a subject of your interest or learn about areas where data science is used. The year concludes with a Bachelor’s project - typically centred around the use of data science methods for solving a real-world challenge.
The department of Data Science has a vibrant student community and a number of student organisations, which organises organise lectures on current topics, study excursions and social events.
Career:
Graduates of the BSc in Data Science often continue with a Master’s degree to deepen their expertise. They are in high demand across industries such as finance, technology, healthcare, telecommunications, and more, helping organisations build data-driven solutions. Some graduates also pursue research careers through a PhD programme.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The first year covers fundamentals in the above subjects, whereas the second year covers machine learning, statistical modelling, databases and optimization techniques. The year ends with a case-based project course where you will be in contact with a research group at the university. The third year allows for a number of electives, where you can broaden your knowledge in a subject of your interest or learn about areas where data science is used. The year concludes with a Bachelor’s project - typically centred around the use of data science methods for solving a real-world challenge.
The department of Data Science has a vibrant student community and a number of student organisations, which organises organise lectures on current topics, study excursions and social events.
Career:
Graduates of the BSc in Data Science often continue with a Master’s degree to deepen their expertise. They are in high demand across industries such as finance, technology, healthcare, telecommunications, and more, helping organisations build data-driven solutions. Some graduates also pursue research careers through a PhD programme.
Admission Requirements
Specific admission requirements You must fulfil the following specific admission requirements:
- English B
- Mathematics A
B-level is the Danish subject level, not the grade. We assess your subject levels when you apply.If you do not have a GPA of 6.0 on the Danish 7-point grading scale, then your application can only be assessed in quota 2.
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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