Master's Programme in Bioinformatics – Computer Science Background
120 credits
Outline, TBK2M, DATA
A revised version of the outline is available.
- Code
- TBK2M
- Specialisation code
- DATA
- Finalised by
- The Faculty Board of Science and Technology, 11 November 2019
- Registration number
- TEKNAT 2019/267
Semester 1
Period 1
- Introduction to Bioinformatics, 5 of 10 credits (1MB438) Main field(s) of study and in-depth level: Bioinformatics A1N
- Introduction to Molecular Biology, Genetics and Evolution, 5 of 15 credits (1MB439) Main field(s) of study and in-depth level: Biology G2F
- Script Programming, 5 credits (1TD328) Main field(s) of study and in-depth level: Computer Science A1N
Period 2
- Introduction to Bioinformatics, 5 of 10 credits (1MB438) Main field(s) of study and in-depth level: Bioinformatics A1N
- Introduction to Molecular Biology, Genetics and Evolution, 10 of 15 credits (1MB439) Main field(s) of study and in-depth level: Biology G2F
Semester 2
Period 3
- Molecular Evolution, 5 credits (1MB461) Main field(s) of study and in-depth level: Bioinformatics A1N, Technology A1N
- Information Management Systems, 10 credits (1DL471) Main field(s) of study and in-depth level: Bioinformatics A1N, Computer Science A1N, Technology A1N
Period 4
- Big Data in Life Sciences, 5 credits (1TD065) Main field(s) of study and in-depth level: Bioinformatics A1N, Computer Science A1N, Technology A1N
- Genome Analysis, 10 credits (1MB462) Main field(s) of study and in-depth level: Bioinformatics A1F, Technology A1F
Semester 3
Period 1
- Phylogenetic Analysis, 5 credits (1MB515) Main field(s) of study and in-depth level: Bioinformatics A1F, Technology A1F
- Knowledge-Based Systems in Bioinformatics, 5 credits (1MB416) Main field(s) of study and in-depth level: Bioinformatics A1N, Technology A1N
- Population Genetic Analysis, 5 credits (1MB514) Main field(s) of study and in-depth level: Bioinformatics A1F, Biology A1F, Technology A1F
- Statistical Inference for Bioinformatics, 5 credits (1MB459) Main field(s) of study and in-depth level: Bioinformatics A1N, Technology A1N
Period 2
- Proteomics and Metabolomics, 5 credits (1KB162) Main field(s) of study and in-depth level: Bioinformatics A1N, Chemistry A1N, Technology A1N
- Applied Bioinformatics, 15 credits (1MB519) Main field(s) of study and in-depth level: Bioinformatics A1F, Technology A1F
- Degree Project E in Bioinformatics, 15 of 45 credits (1MB745) Main field(s) of study and in-depth level: Bioinformatics A2E
Semester 4
- Degree Project E in Bioinformatics, 30 credits (1MB830) Main field(s) of study and in-depth level: Bioinformatics A2E
- Degree Project E in Bioinformatics, 45 credits (1MB745) Main field(s) of study and in-depth level: Bioinformatics A2E
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Optional courses
These courses are given in different periods and can replace other courses in the programme.
- Literature Project in Bioinformatics, 5 credits (1MB782) Main field(s) of study and in-depth level: Bioinformatics A1F
- Literature Project in Bioinformatics, 10 credits (1MB783) Main field(s) of study and in-depth level: Bioinformatics A1F
- Research Training, 10 credits (1MB803) Main field(s) of study and in-depth level: Bioinformatics A1F, Molecular Biotechnology A1F
- Research Training, 15 credits (1MB804) Main field(s) of study and in-depth level: Bioinformatics A1F, Molecular Biotechnology A1F
- Research Training, 20 credits (1MB805) Main field(s) of study and in-depth level: Bioinformatics A1F, Molecular Biotechnology A1F
- Project Work in Bioinformatics, 10 credits (1MB820) Main field(s) of study and in-depth level: Bioinformatics A1F
- Project Work in Bioinformatics, 20 credits (1MB822) Main field(s) of study and in-depth level: Bioinformatics A1F
- Degree Project D in Bioinformatics, 15 credits (1MB720) Main field(s) of study and in-depth level: Bioinformatics A1E
1MB720 is only for the one-year Master's students.
- Scientific Visualisation, 5 credits (1TD389) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Technology A1N
- Algorithms and Data Structures I, 5 credits (1DL210) Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
- Computer-Assisted Image Analysis I, 5 credits (1TD396) Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N
Programme syllabus
- Programme syllabus valid from Autumn 2024
- Programme syllabus valid from Autumn 2023, version 2
- Programme syllabus valid from Autumn 2023, version 1
- Programme syllabus valid from Autumn 2022
- Programme syllabus valid from Autumn 2021
- Programme syllabus valid from Autumn 2020
- Programme syllabus valid from Autumn 2019
- Programme syllabus valid from Autumn 2018
- Programme syllabus valid from Autumn 2017
- Programme syllabus valid from Autumn 2016
- Programme syllabus valid from Autumn 2015
- Programme syllabus valid from Autumn 2014
- Programme syllabus valid from Autumn 2013
- Programme syllabus valid from Autumn 2011