Master's Programme in Bioinformatics – Biology Background
120 credits
Outline, TBK2M, BIOL
- Code
- TBK2M
- Specialisation code
- BIOL
- Finalised by
- The Faculty Board of Science and Technology, 7 November 2023
- Registration number
- TEKNAT 2023/166
Semester 1
Period 1
- Introduction to Bioinformatics, 5 of 10 credits (1MB438) Main field(s) of study and in-depth level: Bioinformatics A1N
- Computer Programming I, 5 credits (1TD433) Main field(s) of study and in-depth level: Computer Science G1N, Technology G1N
- Introduction to Statistics for Life Sciences, 5 credits (1MB465) Main field(s) of study and in-depth level: Bioinformatics A1N
Period 2
- Introduction to Bioinformatics, 5 of 10 credits (1MB438) Main field(s) of study and in-depth level: Bioinformatics A1N
- Database Design I, 5 credits (1DL301) Main field(s) of study and in-depth level: Computer Science G2F, Sociotechnical Systems G2F, Technology G2F
- Computational Methods for Scientific Applications, 5 credits (1TD047) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N
Semester 2
Period 3
- Molecular Evolution, 5 credits (1MB461) Main field(s) of study and in-depth level: Bioinformatics A1N, Technology A1N
- Knowledge-Based Systems in Bioinformatics, 5 credits (1MB416) Main field(s) of study and in-depth level: Bioinformatics A1N, Technology A1N
- Statistical Inference for Technological Applications, 5 credits (1TS325) Main field(s) of study and in-depth level: Bioinformatics A1N, Industrial Engineering and Management A1N, Technology A1N
Period 4
- Big Data in Life Sciences, 5 credits (3FB034) 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
- Population Genomic Analysis, 10 credits (1MB517) Main field(s) of study and in-depth level: Bioinformatics A1F, Biology A1F
- Proteomics and Metabolomics, 5 credits (1KB162) Main field(s) of study and in-depth level: Bioinformatics A1N, Chemistry 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 2
- 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 in Bioinformatics, 10 credits (1MB840) Main field(s) of study and in-depth level: Bioinformatics A1F
- Research Training in Bioinformatics, 15 credits (1MB841) Main field(s) of study and in-depth level: Bioinformatics A1F
- Research Training in Bioinformatics, 20 credits (1MB842) 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
- Artificial Intelligence, 5 credits (1DL340) Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N
- Data Mining I, 5 credits (1DL360) Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N
- Computer Programming II, 5 credits (1TD722) Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
- Algorithms and Data Structures II, 5 credits (1DL231) Main field(s) of study and in-depth level: Computer Science G2F
- Statistical Machine Learning, 5 credits (1RT700) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Image Analysis and Machine Learning A1N, Mathematics A1N, Technology A1N
The courses Research Training in Bioinformatics, 1MB803, 1MB804, 1MB805, 1MB840, 1MB841 and 1MB842, cannot be included in the same degree (only one of them can be included in the master's degree).
The courses Literature Project in Bioinformatics, 1MB782 and 1MB783, cannot be included in the same degree.
The courses Project Work in Bioinformatics, 1MB820 and 1MB822, cannot be included in the same degree.
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