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The Master’s degree programme in Data Science focuses on both general and specialist competencies. You will acquire general competencies through three compulsory courses covering advanced statistical learning, large scale optimisation and data visualisation. You will develop specialist competencies through a 30 ECTS specialisation package. You can choose between the following four packages:
Computational Statistics
Data-Intensive Systems
Finance and FinTech
Signal Processing
STUDENT LIFE
The master's degree programme in Data Science is primarily based at the Department of Mathematics, as well as the departments of Computer Science, Economics and Business Economics, and Electrical and Computer Engineering, depending on your choice of specialisation package and other elective elements. The Department of Mathematics has its own canteen, computer rooms, library, and study areas available for students to use. As a master’s student, you will be given your own desk in an office shared with other master’s students. Data Science has its own student organisation, Datavendskab, and the department also has a number of student organisations, such as Euler’s Friends (Eulers Venner) and the Kalkulerbar (Friday bar), that organise lectures on current maths topics, study excursions, and social functions.
CAREERS A degree in Data Science provides job opportunities in many different companies and organisations. The common denominator is the need to create data-driven solutions in these companies and organisations, for example in the wind turbine industry, consultancy firms, pharmaceutical companies, the telecommunications industry, the food industry, the healthcare sector etc. You may also choose to continue your studies on the PhD degree programme, and pursue a career in research.
SELECTION
CRITERIA
As this Master’s degree programme only
admits a limited number of students each year, meeting the admission
requirements does not in itself guarantee admission to the programme.
When evaluating qualified applicants, the
admissions committee assesses each applicant on the basis of the following
criteria:
Academic background
Grade level for Bachelor's degree
Grades in relevant courses*
Relevant courses* (measured in ECTS) included in your Bachelor's degree programme
* Relevant courses include courses with
subject areas within mathematics (including linear algebra), probability theory
and statistics, programming and databases, optimisation, machine learning and
deep learning.
Please note that any grades earned after
the application date will be not be included in the assessment of your
application.
The selection committee assesses
applications based on the exam certificates, grade transcripts and course
descriptions provided by the applicant.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
RESEARCH AND SPECIALISATION
The Master’s degree programme in Data Science focuses on both general and specialist competencies. You will acquire general competencies through three compulsory courses covering advanced statistical learning, large scale optimisation and data visualisation. You will develop specialist competencies through a 30 ECTS specialisation package. You can choose between the following four packages:
Computational Statistics
Data-Intensive Systems
Finance and FinTech
Signal Processing
STUDENT LIFE
The master's degree programme in Data Science is primarily based at the Department of Mathematics, as well as the departments of Computer Science, Economics and Business Economics, and Electrical and Computer Engineering, depending on your choice of specialisation package and other elective elements. The Department of Mathematics has its own canteen, computer rooms, library, and study areas available for students to use. As a master’s student, you will be given your own desk in an office shared with other master’s students. Data Science has its own student organisation, Datavendskab, and the department also has a number of student organisations, such as Euler’s Friends (Eulers Venner) and the Kalkulerbar (Friday bar), that organise lectures on current maths topics, study excursions, and social functions.
CAREERS A degree in Data Science provides job opportunities in many different companies and organisations. The common denominator is the need to create data-driven solutions in these companies and organisations, for example in the wind turbine industry, consultancy firms, pharmaceutical companies, the telecommunications industry, the food industry, the healthcare sector etc. You may also choose to continue your studies on the PhD degree programme, and pursue a career in research.
SELECTION
CRITERIA
As this Master’s degree programme only
admits a limited number of students each year, meeting the admission
requirements does not in itself guarantee admission to the programme.
When evaluating qualified applicants, the
admissions committee assesses each applicant on the basis of the following
criteria:
Academic background
Grade level for Bachelor's degree
Grades in relevant courses*
Relevant courses* (measured in ECTS) included in your Bachelor's degree programme
* Relevant courses include courses with
subject areas within mathematics (including linear algebra), probability theory
and statistics, programming and databases, optimisation, machine learning and
deep learning.
Please note that any grades earned after
the application date will be not be included in the assessment of your
application.
The selection committee assesses
applications based on the exam certificates, grade transcripts and course
descriptions provided by the applicant.
Admission Requirements
180+
83+
6.5+
2 Years
Aug
Sep
Tuition fees
Domestic Students
0 EUR
-
International Students
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:
MSc in Data Science
Aarhus Campus, Aarhus, Denmark
24 monthsProgram duration
16,300 EURTuition Fee/year
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
RESEARCH AND SPECIALISATION
The Master’s degree programme in Data Science focuses on both general and specialist competencies. You will acquire general competencies through three compulsory courses covering advanced statistical learning, large scale optimisation and data visualisation. You will develop specialist competencies through a 30 ECTS specialisation package. You can choose between the following four packages:
STUDENT LIFE
The master's degree programme in Data Science is primarily based at the Department of Mathematics, as well as the departments of Computer Science, Economics and Business Economics, and Electrical and Computer Engineering, depending on your choice of specialisation package and other elective elements. The Department of Mathematics has its own canteen, computer rooms, library, and study areas available for students to use. As a master’s student, you will be given your own desk in an office shared with other master’s students. Data Science has its own student organisation, Datavendskab, and the department also has a number of student organisations, such as Euler’s Friends (Eulers Venner) and the Kalkulerbar (Friday bar), that organise lectures on current maths topics, study excursions, and social functions.
CAREERS
A degree in Data Science provides job opportunities in many different companies and organisations. The common denominator is the need to create data-driven solutions in these companies and organisations, for example in the wind turbine industry, consultancy firms, pharmaceutical companies, the telecommunications industry, the food industry, the healthcare sector etc. You may also choose to continue your studies on the PhD degree programme, and pursue a career in research.
SELECTION CRITERIA
As this Master’s degree programme only admits a limited number of students each year, meeting the admission requirements does not in itself guarantee admission to the programme.
When evaluating qualified applicants, the admissions committee assesses each applicant on the basis of the following criteria:
* Relevant courses include courses with subject areas within mathematics (including linear algebra), probability theory and statistics, programming and databases, optimisation, machine learning and deep learning.
Please note that any grades earned after the application date will be not be included in the assessment of your application.
The selection committee assesses applications based on the exam certificates, grade transcripts and course descriptions provided by the applicant.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
RESEARCH AND SPECIALISATION
The Master’s degree programme in Data Science focuses on both general and specialist competencies. You will acquire general competencies through three compulsory courses covering advanced statistical learning, large scale optimisation and data visualisation. You will develop specialist competencies through a 30 ECTS specialisation package. You can choose between the following four packages:
STUDENT LIFE
The master's degree programme in Data Science is primarily based at the Department of Mathematics, as well as the departments of Computer Science, Economics and Business Economics, and Electrical and Computer Engineering, depending on your choice of specialisation package and other elective elements. The Department of Mathematics has its own canteen, computer rooms, library, and study areas available for students to use. As a master’s student, you will be given your own desk in an office shared with other master’s students. Data Science has its own student organisation, Datavendskab, and the department also has a number of student organisations, such as Euler’s Friends (Eulers Venner) and the Kalkulerbar (Friday bar), that organise lectures on current maths topics, study excursions, and social functions.
CAREERS
A degree in Data Science provides job opportunities in many different companies and organisations. The common denominator is the need to create data-driven solutions in these companies and organisations, for example in the wind turbine industry, consultancy firms, pharmaceutical companies, the telecommunications industry, the food industry, the healthcare sector etc. You may also choose to continue your studies on the PhD degree programme, and pursue a career in research.
SELECTION CRITERIA
As this Master’s degree programme only admits a limited number of students each year, meeting the admission requirements does not in itself guarantee admission to the programme.
When evaluating qualified applicants, the admissions committee assesses each applicant on the basis of the following criteria:
* Relevant courses include courses with subject areas within mathematics (including linear algebra), probability theory and statistics, programming and databases, optimisation, machine learning and deep learning.
Please note that any grades earned after the application date will be not be included in the assessment of your application.
The selection committee assesses applications based on the exam certificates, grade transcripts and course descriptions provided by the applicant.
Admission Requirements
Tuition fees
Domestic Students
International Students
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:
Scholarships to study abroad
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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.
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.
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