Master's Programme in Computational Science
Outline, TBV2M
- Code
- TBV2M
- Finalised by
- The Faculty Board of Science and Technology, 6 November 2024
- Registration number
- TEKNAT 2024/125
The following designations are used:
G1F - First cycle, has less than 60 credits in first-cycle courses as entry requirements
G2F - First cycle, has at least 60 credits in first-cycle courses as entry requirements
A1N - Second cycle, has only first-cycle courses as entry requirements, at least 120 credits
A1F - Second cycle, has second-cycle courses as entry requirements
A1E - Second cycle, contains degree project for Master of Arts/Master of Science (60 credits)
A2E - Second cycle, degree project for Master of Arts/Master of Science (120 credits)
Semester 1 not offered in autumn 2025
Semester 2 is not offered in spring 2026
Semester 3
Period 1
Computational Science
- Advanced Numerical Methods, 10 credits (1TD050) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F, Technology 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
- Accelerator-Based Programming, 5 credits (1TD054) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F, Data Science A1F
Eligible courses:
- Statistical Thermodynamics: Theory and Simulation Methods, 5 of 10 credits (1KB362) Main field(s) of study and in-depth level: Chemistry A1F, Physics A1F
- Data Mining I, 5 credits (1DL360) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N
- Energy Physics I, 5 credits (1FA404) Main field(s) of study and in-depth level: Physics G2F, Technology G2F
- Microeconomic Theory, 7.5 credits (2NE811) Main field(s) of study and in-depth level: Economics A1N
- Electromagnetic Field Theory, 5 credits (1FA252) Main field(s) of study and in-depth level: Physics A1N, Technology A1N
Other elective courses:
- Applied Mathematics, 5 credits (1MA148) Main field(s) of study and in-depth level: Mathematics A1N
- 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 I, 5 credits (1DL301) Main field(s) of study and in-depth level: Computer Science G2F, Sociotechnical Systems G2F, Technology G2F
- Artificial Intelligence, 5 credits (1DL340) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N
- Fluid Mechanics, 5 credits (1FA253) Main field(s) of study and in-depth level: Physics A1N, Technology A1N
Period 2
Computational Science
- Project in Computational Science, 15 credits (1TD307) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F, Technology A1F
Eligible courses:
- Computer-Intensive Statistics and Applications, 10 credits (1MS049) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Financial Mathematics A1N, Mathematics 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
- Macroeconomic Theory, 7.5 credits (2NE814) Main field(s) of study and in-depth level: Economics A1N
Other elective courses:
- 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
- Scientific Visualisation, 5 credits (1TD389) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Technology A1N
- Scientific Computing for Partial Differential Equations, 5 credits (1TD354) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Technology A1N
- 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
- Chemical Bonding and Computational Chemistry, 10 credits (1KB550) Main field(s) of study and in-depth level: Chemistry A1N, Physics 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
Other elective courses:
- 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
- Computational Physics, 5 credits (1FA573) Main field(s) of study and in-depth level: Computational Science A1N, Physics A1N
- Data Engineering I, 5 credits (1TD169) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Data Science A1N, Technology A1N
- Markov Processes, 10 credits (1MS012) Main field(s) of study and in-depth level: Mathematics A1N
- Natural Computation Methods for Machine Learning, 5 of 10 credits (1DL073) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N
- Introduction to Partial Differential Equations, 5 credits (1MA053) Main field(s) of study and in-depth level: Mathematics A1N
- Computer Graphics, 10 credits (1TD388) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N
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
- 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
- Parallel and Distributed Programming, 5 credits (1TD070) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F, Technology A1F
- 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
- Modelling Complex Systems, 10 credits (1MA256) Main field(s) of study and in-depth level: Computational Science A1N, Mathematics A1N
- Data Engineering II, 10 credits (1TD076) Main field(s) of study and in-depth level: Computational Science A1F, Computer Science A1F, Data Science A1F, Technology A1F
- Computer Graphics, 10 credits (1TD388) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N
- Analysis of Time Series, 10 credits (1MS014) Main field(s) of study and in-depth level: Data Science A1N, Financial Mathematics A1N, Mathematics A1N
- Natural Computation Methods for Machine Learning, 5 of 10 credits (1DL073) Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N
Programme syllabus
- Programme syllabus valid from Autumn 2025
- 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