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.

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.

Cambridge CAE Advanced

180+

TOEFL

83+

IELTS

6.5+

Program Duration

2 Years

Starting Month(s)

Aug

Starting Month(s)

Sep

Tuition fee and scholarships

Tuition Fee
Scholarships

Domestic Students

Tuition Fee/year

0 EUR

Tuition Fee (Out of State)

-

International Students

Tuition Fee/year

16,300 EUR

Other Expenses

-

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:

Where to look for scholarship opportunities

How to apply to scholarships relevant to you

A list of available scholarships around the world

A scholarship application checklist

Download Scholarship Guide

More programs from the university

Aarhus University provides the following English-language Bachelor’s degree programs (please find direct links under Programs):

Cognitive Science
Economics and Business Administration

Tuition is free for EU, EEA and Swiss citizens. For other students, tuition fees are set annually and can be found on the Aarhus University website.

Over ten percent of Aarhus’ student body is international, representing 100 different nationalities. For these international students, the International Centre offers an orientation programme as well as support and guidance during their time at the university.

Business and Management (3)

BSc in Economics and Business Administration (Campus Aarhus)

BSc in Economics and Business Administration (Campus Herning)

Bachelor of Science Economics and Buisness Administration

Engineering and Technology (3)

BSc in Computer Science

BSc in Data Science

BSc in IT Product Development

Life Sciences and Medicine (3)

BSc in Cognitive Science

Aarhus University provides English-language postgraduate programmess in the following subject areas (please find a list of all English-taught postgraduate degree programmes under Programs):

Media, Communication and Information
Social Sciences, Politics and Economics
Finance, Business and Management
Global Management and Manufacturing
Biology, Chemistry and Nature
Physics, Mathematics and Nanotechnology
Language, Culture and History
Education, Psychology and Teaching
IT, Electronics and Programming
Technical Science, Construction and Development

All PhD programs are taught in English.

Aarhus University was ranked 107th in the QS World University Rankings 2015/16. In the 2015 edition of the QS World University Rankings by Subject, Aarhus University was ranked 23rd for dentistry and 60th for life sciences and medicine. Aarhus University’s School of Business and Social Sciences (BSS) is accredited by AACSB, AMBA and EQUIS, making it a triple crown accredited business school.

All of the professors at Aarhus University are active researchers. As a result, all of the university’s programs are reviewed on a regular basis in order to ensure that they meet the highest national and world standards.

Over half of Aarhus University’s 40,000 students study at the Master’s or PhD level. Over ten percent of the student body is international, representing 100 different nationalities. Aarhus’ international students have access to an International Centre which offers an orientation programme as well as support and guidance during their time at the university. Danes were recently ranked as the best non-native English speakers in the world, so it is easy for international students to get along in Denmark even if they don’t speak Danish.

Tuition is free for EU, EEA and Swiss citizens. For other students, tuition fees are set annually and can be on the Aarhus University website.

All international Masters students and graduates are given access to career counselling services and a free job bank. The green card residence permit which allows students to complete a higher education programme in Denmark allows students to stay in Denmark for six months after graduation so they have time to look for work.