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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
83+
180+
6.5+
Aarhus University does not accept:
Oxford Online Placement Test
Duolingo English test
Trinity ISE III
Pearson PTE
Euroexam
Michigan Language Assessment
15 Jan 2026
4 Years
Jan
Aug
Tuition fees
International
17,300 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:
Flexible Work-Integrated MSc in Data Science
Aarhus Campus, Aarhus, Denmark
48 monthsProgramme duration
17,300 EURTuition Fee/year
15 Jan, 2026Application Deadline
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
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
Tuition fees
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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