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Masters
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Natural & Applied Sciences
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Master in Bioinformatics (MSc) - Aarhus University
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    For this specific program there is a Brive Application Fee of €250.
    MASTERS

    Master in Bioinformatics (MSc) - Aarhus University

    Aarhus University
    AarhusDenmark
    On campus
    Full-time
    Free
    Duration
    2 Years
    Language
    English
    Start date
    Sep 2024

    Program Description

    The Master in Bioinformatics (MSc) program at Aarhus University is both practical and research oriented. It reflects the interests of the business community, research institutions and the public sector. Students obtain skills within the development and application of computational solutions for analysing and handling data-intensive systems in general, and biological and biomedical systems in particular.

    Bioinformatics is a fusion of biology, statistics and computer science that focuses on the development and application of computational solutions for analysing and handling biological and biomedical data. The field of bioinformatics plays a key role in modern biology and biomedicine, where collecting and analysing large data sets is essential.

    To address the challenges of big data in modern biology and biomedicine, a bioinformatician must combine practical and theoretical skills in statistical modelling, data analysis, and computer programming with a deep knowledge of biology and biomedicine, a network of competencies that students will acquire through the two-year Master in Bioinformatics (MSc) program at Aarhus University.

    Non-EU/EEA/Swiss citizens (or citizens with a British national overseas passport) must pay tuition fees.

    Entry Requirements

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    Curriculum

    Year 1

    Semester 1

    Elective courses

    Computational Thinking in Bioinformatics or Evolutionary Thinking

    Semester 2

    Elective courses

    Year 2

    Semester 3

    Elective Courses

    Projects in Bioinformatics

    Semester 4

    Master's Thesis in Bioinformatics

    Jobs - Careers

    • Programming
    • Data processing
    • Analysis
    • Modelling
    • Research
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