Program overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The programme covers a wide range of theoretical and experimental areas within Computer Science and Bioinformatics:

Algorithms, Data structures and Foundations of Machine Learning – particular focus on I/O-efficient algorithms and algorithm engineering for massive data sets.
Bioinformatics – development and application of models and methods for analyzing biological and biomedical data, covering topics such as algorithmic development, algorithm engineering, software development, and statistical modeling focusing on evolutionary genome analysis, structural bioinformatics and medical bioinformatics.
Computational Complexity and Game Theory – computational complexity theory, algorithmic and computational game theory, mathematical programming, combinatorial optimization, computational algebra, real algebraic geometry, and multi-agent systems.
Computer Mediated Activity – development of new interaction techniques, methods and theories for computer-mediated activities of work and everyday life.
Cryptography and Security – in particular, public-key cryptography, cryptographic protocols, and quantum cryptography.
Data-Intensive Systems – topics related to spatio-temporal data management, query processing and indexing, high-dimensional and multimedia data, and infrastructure for mobile services and cloud computing.
Logic and Semantics - semantics of programming languages and type theories, models and logics for reasoning about programs.
Programming Languages – program analysis and testing.
Ubiquitous computing and interaction – creating concepts for future interactive spaces at schools, libraries, museums, homes, and workplaces.
Use, Design and Innovation – including participatory design in innovation processes

Program overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The programme covers a wide range of theoretical and experimental areas within Computer Science and Bioinformatics:

Algorithms, Data structures and Foundations of Machine Learning – particular focus on I/O-efficient algorithms and algorithm engineering for massive data sets.
Bioinformatics – development and application of models and methods for analyzing biological and biomedical data, covering topics such as algorithmic development, algorithm engineering, software development, and statistical modeling focusing on evolutionary genome analysis, structural bioinformatics and medical bioinformatics.
Computational Complexity and Game Theory – computational complexity theory, algorithmic and computational game theory, mathematical programming, combinatorial optimization, computational algebra, real algebraic geometry, and multi-agent systems.
Computer Mediated Activity – development of new interaction techniques, methods and theories for computer-mediated activities of work and everyday life.
Cryptography and Security – in particular, public-key cryptography, cryptographic protocols, and quantum cryptography.
Data-Intensive Systems – topics related to spatio-temporal data management, query processing and indexing, high-dimensional and multimedia data, and infrastructure for mobile services and cloud computing.
Logic and Semantics - semantics of programming languages and type theories, models and logics for reasoning about programs.
Programming Languages – program analysis and testing.
Ubiquitous computing and interaction – creating concepts for future interactive spaces at schools, libraries, museums, homes, and workplaces.
Use, Design and Innovation – including participatory design in innovation processes

IELTS

6.5+

TOEFL

83+

Cambridge CAE Advanced

180+

Program Duration

4 Years

Starting Month(s)

Sep

Tuition fee and scholarships

Scholarships

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.