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BIOINFORMATICS

Work-integrated Master’s degree programme (4 years)

About the programme
Language: English  (See language requirements)  | Place of study: Aarhus  |  Commencement: August / September
Programme type: Flexible work-integrated Master’s degree programme (4 years)

Introduction

The flexible work-integrated Master’s degree program in Bioinformatics is designed for students who are employed while studying. You complete the program alongside your job or entrepreneurial activities.

Bioinformatics is a fusion of biology, statistics and computer science that focuses on the development and application of computational solutions for analyzing and handling biological and biomedical data. Bioinformatics plays a key role in modern biology and biomedicine, where collecting and analyzing large data sets is essential. To address the challenges of big data in modern biology and biomedicine, a bioinformatician must be able to combine practical and theoretical skills in statistical modelling, data analysis, and computer programming with a deep knowledge of biology and biomedicine data.

The work-integrated Master’s program in Bioinformatics builds upon a Bachelor’s education in either natural, technical or health science containing strong elements of either mathematics, biology, or programming. The program is taught in English and creates a strong link between theory and practice, as you can apply your academic learning directly to relevant work tasks. You bring the latest academic knowledge into your workplace, while at the same time gaining valuable experience in applying this knowledge in practice.

The program has a standard duration of four years.

The specific requirements regarding the number of working hours needed for admission to the scheme are outlined under Admission Requirements.

Read more about the work-integrated Master's degree scheme. 

Possible areas of specialisation

During the course, you will specialise in specific areas of bioinformatics. You must follow at least two of the following specialisations:

  • Algorithms and Programming
    Comprises the subjects “Computational Thinking in Bioinformatics”, “Algorithms in Bioinformatics” and one optional subject.

     
  • Machine Learning and Data Science
    Comprises the subjects “Data Science in Bioinformatics”, “Statistical and Machine in Bioinformatics” and one optional subject.

     
  • Molecular Evolution and Genomics
    Comprises the subjects “Evolutionary Thinking in Bioinformatics”, “Genomic Thinking” and one optional subject.

Did you know that you can also take the programme as a full-time degree?

Admission requirements

In this section you can learn more about the admission requirements relevant to the work-integrated Master's degree programme in Bioinformatics. Depending on your educational background and your qualifications, there are different ways to meet the admission requirements: 

1. International and other qualifications


This section is relevant for you, if you have: 

  • a Bachelor's degree or equivalent from an institution outside of Denmark or
  • a Bachelor's degree or equivalent from a Danish institution, which does not ensure you a 'Legal right of admission´ or 'Direct admission'.

The two sections listed below are relevant only for students with a bachelor's degree from a Danish institution: 

2. Legal right of admission

3. Direct admission


Below these sections, you can learn more about the employment requirement and the English language requirement. You can also find out which ranking criteria we use to assess your application when prioritizing among the submitted applications.

1. International and other qualifications

If you have an international educational background, you must meet both the general admission requirement and the specific admission requirements: 

General admission requirement

You must have a bachelor's degree or equivalent that is comparable to a Danish bachelor's degree in both level and duration (180 ECTS). 

For more information about how your bachelor's degree is assessed, please see the national database

Specific admission requirements

If you meet the general admission requirement, the university will continue on to assess whether or not you meet the specific admission requirements. 

You can be admitted to the master's programme if the university assesses that your education has a level, scope, and content that corresponds to the academic requirements specified below. 

Subject area Number of ECTS
Basic elements within Mathematics and Statistics  15
Basic subject elements within either Computer science, Molecular biology and Genetics or Bioinformatics 15
Additional subject elements within at least one of the subject areas (Statistics, Computer science, Molecular biology and Genetics or bioinformatics) 60
Total  90

'Professional Bachelor's degree' and other Danish qualifications

Certain Professional Bachelor's degrees or similar covering specific subject areas from other Danish institutions have been determined to fullfill the admission requirements to this Master's degree programme in Bioinformatics:

A Bachelor of Science degree in Physics with additional courses within: Number of ECTS
Computer Science  15
A Bachelor of Science degree in Cognitive Science with additional courses within: Number of ECTS
Biology or Molecular Biology  15

We cannot assess in advance whether your specific degree will meet the above requirements. Therefore, we recommend that you apply for the programme if you believe that you meet the academic requirements. In this regard, it is a good idea to compare your degree with the programmes that provide direct admission.

2. Legal right of admission

There is no Bachelor's degree programme(s) from Aarhus University that provides a legal right of admission to the Master's degree programme in Bioinformatics.

3. Direct admission

Certain Bachelor's degree programmes from Aarhus University and various other Danish Universities have been determined to meet the admission requirements to this work-integrated Master's degree programme in Bioinformatics. 

  • Bachelor's degree programme in Computer Science from Aarhus University 
  • Bachelor's degree programme in Mathematics from Aarhus University 
  • Bachelor's degree programme in Mathematics with Statistics from Aarhus University 
  • Bachelor's degree programme in Biology from Aarhus University 
  • Bachelor's degree programme in Molecular Biology from Aarhus University 
  • Bachelor's degree programme in Molecular Medicine from Aarhus University 
  • Bachelor's degree programme in Agrobiology from Aarhus University 
  • Bachelor's degree programme in Data Science from Aarhus University 
  • Bachelor's degree programme in Computer Science from the University of Copenhagen 
  • Bachelor's degree programme in Mathematics from the University of Copenhagen 
  • Bachelor's degree programme in Mathematics with Statistics from the University of Copenhagen 
  • Bachelor's degree programme in Biology from the University of Copenhagen 
  • Bachelor's degree programme in Bioinformatics from the University of Copenhagen 
  • Bachelor's degree programme in Molecular Medicine Biomedicine from the University of Copenhagen 
  • Bachelor's degree programme in Biochemistry from the University of Copenhagen 
  • Bachelor's degree programme in Biochemistry and Molecular Biology from the University of Southern Denmark 
  • Bachelor's degree programme in Biology from the University of Southern Denmark 
  • Bachelor's degree programme in Biomedicine from the University of Southern Denmark 
  • Bachelor's degree programme in Medicinal Chemistry from the University of Southern Denmark 
  • Bachelor's degree programme in Mathematics from the University of Southern Denmark 
  • Bachelor's degree programme in Computer Science from the University of Southern Denmark 
  • Bachelor's degree programme in Biology from Aalborg University 
  • Bachelor's degree programme in Computer Science from Aalborg University 
  • Bachelor's degree programme in Data Science and Machine Learning from Aalborg University 
  • Bachelor's degree programme in Physics from Aalborg University 
  • Bachelor's degree programme in Mathematics from Aalborg University 
  • Bachelor's degree programme in Data Science from the IT University of Copenhagen 
  • Bachelor's degree programme in Software Development from the IT University of Copenhagen 
  • Bachelor's degree programme in Data Science and Management from the Technical University of Denmark 
  • Bachelor's degree programme in Biotechnology from the Technical University of Denmark 
  • Bachelor's degree programme in Computer Engineering from the Technical University of Denmark 
  • Bachelor's degree programme in Artificial Intelligence and Data from the Technical University of Denmark 
  • Bachelor's degree programme in Mathematics and Technology from the Technical University of Denmark

Download appendix for your application

If you hold a Bachelor’s degree from a non-Danish university, you must complete the appendix below and upload it to the application portal. The appendix helps the academic assessors with the assessment of your application.
Download appendix


Employment Requirement

When applying for a work-integrated Master’s degree programme, you must meet the requirement of being in relevant employment.

“Relevant employment” means that you work at least 25 hours per week in a public or private company, or as an entrepreneur, and that your work tasks are professionally related to both your qualifying education and the education you are applying for.

Read more about how to meet the employment requirement

English language requirements

In order to be admitted to this programme you must meet the university's English language requirements

Students with bachelor's degree from Aarhus University with a so-called 'Legal right of admission' are exempt from the English language requirement. 

Ranking criteria

All Master’s degree programmes at Aarhus University have limited intake. This means that you are not guaranteed admission even if you meet the entry requirements. When we prioritize among applicants, we assess your application based on a set of fixed ranking criteria, which you can see below.

If you have a legal right of admission, you are guaranteed a place in the programme and do not need to consider the ranking criteria.

Ranking criteria:

  1. Grades from the qualifying degree 

  2. Grades achieved in relevant subject fields:

    • Mathematics 

    • Probability Theory 

    • Statistics 

    • Programming and Algorithmics 

    • Molecular Biology and Genetics

  3. Relevant subject fields (measured in ECTS). In this assessment, ECTS credits that are a part of the admission requirements described under ‘Other qualifying degrees’ are not included. 

    • Mathematics 

    • Probability Theory 

    • Statistics 

    • Programming and Algorithmics 

    • Molecular Biology and Genetics

In criterion three, the score is based on the proportion of subjects on the bachelor’s degree diploma that fall within the relevant subject fields. In this assessment, ECTS credits that are a part of the admission requirements described under ‘Other qualifying degrees’ are not included.


Please note that grades achieved after the application deadline are not included in the assessment.

Assesment of qualifications

Unfortunately, Aarhus University is not able to assess your qualifications beforehand. In order for your qualifications to be assessed you must apply for admission. To learn more, please go to Assessment of your qualifications


Programme structure

With a combination of specializations, elective courses, and projects, there are many ways to structure your Bioinformatics master’s program. All students must do 30 ECTS thesis and a 10 ECTS project. All students must also follow a mandatory course in either computational thinking or molecular evolution depending on their BSc background. The mandatory course can be part of a specialization, which makes it possible to have one more elective course. The 10 ECTS project can be scheduled in any semester, which makes it possible to study abroad during the third semester.

Current specializations are:

  • Algorithms and Programming
  • Machine Learning and Data Science
  • Molecular Evolution and Genomics

Academic regulations

Student life

Daily life at Bioinformatics

The work-integrated Master’s programme in Bioinformatics combines lectures with work in project groups and problem solving. The teaching is done by active researchers is application- and research-oriented, and high demands are placed on both your level of professionalism and independence.

But there is more to your life as a bioinformatics student at Aarhus University than just studying and classes. During your studies, your daily life will be based at Section for Bioinformatics and Computational Biology at the Department of Molecular Biology and Genetics. The Section for Bioinformatics and Computational Biology is a dynamic environment and regularly hosts academic and social activities in which both students and staff participate. In addition, students have access to study facilities such as a computer room and a reading room. As a bioinformatics student, you will meet students from several other science degree programmes in joint lectures. You, therefore, naturally participate in both social and academic activities with students from programmes such as molecular biology or computer science. Additionally, Aarhus University is home to a number of student associations related to different science degree programmes. These associations organise study-related activities as well as excursions, celebrations, and social get-togethers in which you can participate and use as an opportunity to grow your network.

Visit or www page at birc.au.dk.

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Career

Job functions for grads

The chart shows the five most common types of work for graduates 1-2 years after finishing their degree. The data is derived from a survey made by Epinion for the Ministry of Higher Education and Science and Aarhus University in 2020.

Competence profile

With a work-integrated Master’s degree in Bioinformatics, you have the following competences:

  • You have general knowledge of bioinformatics and detailed knowledge of key disciplines, methodologies, theories and concepts within bioinformatics.
  • You can independently plan, manage and implement projects and apply the results in scientifically relevant decision processes.
  • You can assess the applicability and appropriateness of theoretical, experimental and practical methodologies for the analysis and solution of scientific questions and issues.
  • You can structure your own competence development independently and critically.
  • You are able to systematically and critically familiarise yourself with new subject areas.
  • You can communicate academic questions and issues to both a scientific and a general audience.
  • You can collaborate constructively on a scientific basis to solve subject-related issues.