36 monthsProgramme duration
17,300 EURTuition Fee/year
Aug, SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Through the Bachelor’s degree programme in Data Science, you will develop a strong foundation in mathematics, statistics, programming and machine learning.
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.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Through the Bachelor’s degree programme in Data Science, you will develop a strong foundation in mathematics, statistics, programming and machine learning.
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+
6.5+
83+
Qualifying entry examination You must have a qualifying entry examination.
Specific admission requirements You must fulfil the following specific admission requirements:
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.
Specific admission requirements You must fulfil the following specific admission requirements:
- English B
- Mathematics A
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
17,300 EUR
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