Master's Programme in Computational Science
120 credits
Outline, TBV2M
A revised version of the outline is available.
- Code
- TBV2M
- Finalised by
- The Faculty Board of Science and Technology, 10 November 2016
- Registration number
- TEKNAT 2015/47
Semester 1
Period 1
- Scientific Computing, Bridging Course, 5 credits (1TD045) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Mathematics A1N
- Scientific Visualisation, 5 credits (1TD389) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Technology A1N
- Scientific Computing III, 5 credits (1TD397) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Technology A1N
Eligible courses. Either any of the optional courses below or other courses for example in chemistry, biology, earth science, computer science or matemathics, on condition that the entry requirements for the courses have been met.
Period 1
- Quantum Mechanics, Advanced Course, 5 of 10 credits (1FA352) Main field(s) of study and in-depth level: Physics A1N, Quantum Technology A1N
- Applied Mathematics, 5 credits (1MA148) Main field(s) of study and in-depth level: Mathematics A1N
- Programming, Bridging Course, 5 of 10 credits (1TD046) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Technology A1N
- Database Design I, 5 credits (1DL301) Main field(s) of study and in-depth level: Computer Science G2F, Sociotechnical Systems G2F, Technology G2F
Period 2
- Optimisation, 5 credits (1TD184) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Data Science A1N, Technology A1N
- Applied Finite Element Methods, 5 credits (1TD056) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F, Technology A1F
Eligible courses.
Period 2
- Quantum Mechanics, Advanced Course, 5 of 10 credits (1FA352) Main field(s) of study and in-depth level: Physics A1N, Quantum Technology A1N
- Database Design II, 5 credits (1DL400) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N
- Computer-Assisted Image Analysis I, 5 credits (1TD396) Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N
- Software Testing, 5 credits (1DL610) Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N
- Programming, Bridging Course, 5 of 10 credits (1TD046) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Technology A1N
- Chemical Bonding and Computational Chemistry, 10 credits (1KB550) Main field(s) of study and in-depth level: Chemistry A1N, Physics A1N
- Financial Derivatives, 7.5 credits (1MA209) Main field(s) of study and in-depth level: Financial Mathematics A1N, Mathematics A1N
Semester 2
Period 3
- High Performance Programming, 10 credits (1TD062) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Data Science A1N, Technology A1N
Eligible courses.
Period 3
- Computational Physics, 5 credits (1FA573) Main field(s) of study and in-depth level: Computational Science A1N, Physics A1N
- Software Engineering and Project Management, 5 credits (1DL251) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N
- Computer-Assisted Image Analysis II, 10 credits (1TD398) Main field(s) of study and in-depth level: Computer Science A1F, Technology A1F
- Distributed Systems, 5 credits (1DT064) Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N
- Markov Processes, 10 credits (1MS012) Main field(s) of study and in-depth level: Mathematics A1N
- Computer-Intensive Statistics and Data Mining, 5 of 10 credits (1MS009) Main field(s) of study and in-depth level: Mathematics A1N
1MS009 is given even years.
Period 4
- Parallel and Distributed Programming, 5 credits (1TD070) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F, Technology A1F
Eligible courses.
- Modelling Complex Systems, 10 credits (1MA256) Main field(s) of study and in-depth level: Computational Science A1N, Mathematics A1N
- Computer-Intensive Statistics and Data Mining, 5 of 10 credits (1MS009) Main field(s) of study and in-depth level: Mathematics A1N
- Computational Chemistry, 5 credits (1KB206) Main field(s) of study and in-depth level: Chemistry G2F, Physics G2F
- Computational Quantum Chemistry for Molecules and Materials, 10 credits (1KB273) Main field(s) of study and in-depth level: Chemistry A1F, Physics A1F
- Large Datasets for Scientific Applications, 5 credits (1TD268) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Technology A1N
- Software Architecture with Java, 5 credits (1TD204) Main field(s) of study and in-depth level: Computer Science A1N
- Computer Graphics, 10 credits (1TD388) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N
- Numerical Modelling of the Atmosphere, 10 credits (1ME406) Main field(s) of study and in-depth level: Computational Science A1N, Earth Science A1N, Physics A1N
- Degree Project D in Computational Science, 15 credits (1TD908) Main field(s) of study and in-depth level: Computational Science A1E
The course 1TD908 is for one-year Masters.
Semester 3
Period 1
- Advanced Numerical Methods, 10 credits (1TD050) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F, Technology A1F
Eligible courses.
- Discrete Computational Biology, 10 credits (1MB415) Main field(s) of study and in-depth level: Bioinformatics A1N, Technology A1N
- Statistical Thermodynamics: Theory and Simulation Methods, 5 of 10 credits (1KB362) Main field(s) of study and in-depth level: Chemistry A1F, Physics A1F
- Computational Finance: Pricing and Valuation, 5 credits (1TD186) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Financial Mathematics A1N
- Computer Networks I, 5 credits (1DT052) Main field(s) of study and in-depth level: Computer Science G1F, Technology G1F
- Applied Cloud Computing, 10 credits (1TD265) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N
- Data Mining I, 5 credits (1DL360) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N
- Applied Dynamical Systems, 5 of 10 credits (1MA444) Main field(s) of study and in-depth level: Mathematics A1N
Period 2
Eligible courses.
- Project in Computational Science, 15 credits (1TD307) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F, Technology A1F
- Statistical Thermodynamics: Theory and Simulation Methods, 5 of 10 credits (1KB362) Main field(s) of study and in-depth level: Chemistry A1F, Physics A1F
- Knowledge-Based Systems in Bioinformatics, 5 credits (1MB416) Main field(s) of study and in-depth level: Bioinformatics A1N, Technology A1N
- Statistical Methods in Physics, 5 credits (1FA357) Main field(s) of study and in-depth level: Physics A1N
- Applied Dynamical Systems, 5 of 10 credits (1MA444) Main field(s) of study and in-depth level: Mathematics A1N
Semester 4
Period 3
- Degree Project E in Computational Science, 15 of 30 credits (1TD808) Main field(s) of study and in-depth level: Computational Science A2E
Period 4
- Degree Project E in Computational Science, 15 of 30 credits (1TD808) Main field(s) of study and in-depth level: Computational Science A2E
In addition to the eligible courses listed above, there are also the courses 1TD322 and 1TD326, see below, that allow for individualised specialisation. Courses, up to 30 credits, also can be chosen from other main fields.
- Advanced Course on Topics in Scientific Computing I, 5 credits (1TD322) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F
- Advanced Course on Topics in Scientific Computing II, 10 credits (1TD326) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F
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, version 3
- Programme syllabus valid from Autumn 2022, version 2
- Programme syllabus valid from Autumn 2022, version 1
- 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, version 2
- Programme syllabus valid from Autumn 2016, version 1
- Programme syllabus valid from Autumn 2015
- Programme syllabus valid from Autumn 2014
- Programme syllabus valid from Autumn 2013
- Programme syllabus valid from Autumn 2012