48 monthsProgramme duration
17,300 EURTuition Fee/year
15 Jan, 2026Application Deadline
Jan, AugStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
In the Work-Integrated Master’s degree in Data Science at Aarhus University, you study part-time while working part-time in a company or organisation. This lets you apply statistical modelling, machine learning, and data engineering directly to real-world data challenges. After the 4-year programme, you will graduate with both solid work experience and a high-quality master’s degree.
You will build a strong foundation through core courses in statistical learning, large-scale optimisation, and data visualisation. On top of this, you choose one of five specialisation packages—Computational Statistics, Data-Intensive Systems, Finance and FinTech, Signal Processing, or Business Intelligence—allowing you to tailor the programme to your interests and your role at work.
Teaching is interdisciplinary and research-driven, drawing on expertise from mathematics, computer science, economics, and engineering. You’ll work hands-on with real datasets, modern analytical tools, and cutting-edge methods, supported by an active academic environment and strong student community.
Career
Graduates from the work-integrated MSc in Data Science combine academic depth with hands-on industry experience. Many students are offered full-time employment at their workplace after graduation, while others go on to research careers or PhD studies.
You will be qualified for a career in data science, analytics, finance, renewable energy, consulting, pharmaceuticals, telecom, food, healthcare, and research.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
In the Work-Integrated Master’s degree in Data Science at Aarhus University, you study part-time while working part-time in a company or organisation. This lets you apply statistical modelling, machine learning, and data engineering directly to real-world data challenges. After the 4-year programme, you will graduate with both solid work experience and a high-quality master’s degree.
You will build a strong foundation through core courses in statistical learning, large-scale optimisation, and data visualisation. On top of this, you choose one of five specialisation packages—Computational Statistics, Data-Intensive Systems, Finance and FinTech, Signal Processing, or Business Intelligence—allowing you to tailor the programme to your interests and your role at work.
Teaching is interdisciplinary and research-driven, drawing on expertise from mathematics, computer science, economics, and engineering. You’ll work hands-on with real datasets, modern analytical tools, and cutting-edge methods, supported by an active academic environment and strong student community.
Career
Graduates from the work-integrated MSc in Data Science combine academic depth with hands-on industry experience. Many students are offered full-time employment at their workplace after graduation, while others go on to research careers or PhD studies.
You will be qualified for a career in data science, analytics, finance, renewable energy, consulting, pharmaceuticals, telecom, food, healthcare, and research.
Admission Requirements
- Oxford Online Placement Test
- Duolingo English test
- Trinity ISE III
- Pearson PTE
- Euroexam
- Michigan Language Assessment
Tuition fees
International
Scholarships
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