Outline for Master's Programme in Computational Science

• 120 credits
• Programme code: TBV2M
• Established: 2011-11-10
• Revised: 2016-11-10
• Revised by: The Faculty Board of Science and Technology
• Reg. no: TEKNAT 2015/47
• Outline applies from: Autumn 2017
• Responsible faculty: Faculty of Science and Technology
• Responsible department: Department of Information Technology

Semester 1

Period 1

• Scientific Computing, Bridging Course, 5 credits (1TD045)
  Main field(s) of study and in-depth level: Computer Science A1N, Computational Science A1N, Mathematics A1N
• Scientific Visualisation, 5 credits (1TD389)
  Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N, Computational Science A1N
• Scientific Computing III, 5 credits (1TD397)
  Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N, Computational Science 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.

• Quantum Mechanics, Advanced Course, 5 (out 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 (out of 10) credits (1TD046)
  Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N, Computational Science A1N
• Database Design I, 5 credits (1DL301)
  Main field(s) of study and in-depth level: Computer Science G2F, Technology G2F, Sociotechnical Systems G2F

Period 2

• Optimisation, 5 credits (1TD184)
  Main field(s) of study and in-depth level: Computer Science A1N, Data Science A1N, Technology A1N, Computational Science 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.

• Quantum Mechanics, Advanced Course, 5 (out 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, 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 (out of 10) credits (1TD046)
  Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N, Computational Science A1N
• Chemical Bonding and Computational Chemistry, 10 credits (1KB550)
  Main field(s) of study and in-depth level: Physics A1N, Chemistry A1N
• Financial Derivatives, 7.5 credits (1MA209)
  Main field(s) of study and in-depth level: Mathematics A1N, Financial 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, Technology A1N

Eligible courses.

• Computational Physics, 5 credits (1FA573)
  Main field(s) of study and in-depth level: Physics A1N, Computational Science A1N
• Software Engineering and Project Management, 5 credits (1DL251)
  Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N
• Computer-Assisted Image Analysis II, 10 credits (1TD398)
  Main field(s) of study and in-depth level: Technology A1F, Computer Science 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 (out 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: Mathematics A1N, Computational Science A1N
• Computer-Intensive Statistics and Data Mining, 5 (out 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: Physics G2F, Chemistry 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: Computer Science A1N, Technology A1N, Computational Science 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: Computer Science A1N, Computational Science A1N
• Numerical Modelling of the Atmosphere, 10 credits (1ME406)
  Main field(s) of study and in-depth level: Physics A1N, Computational Science A1N, Earth Science 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: Technology A1N, Bioinformatics A1N
• Statistical Thermodynamics: Theory and Simulation Methods, 5 (out 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: Computer Science A1N, Computational 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: Computer Science A1N, Computational Science A1N
• Data Mining I, 5 credits (1DL360)
  Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N
• Applied Dynamical Systems, 5 (out 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: Computer Science A1F, Technology A1F, Computational Science A1F
• Statistical Thermodynamics: Theory and Simulation Methods, 5 (out 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: Technology A1N, Bioinformatics A1N
• Statistical Methods in Physics, 5 credits (1FA357)
  Main field(s) of study and in-depth level: Physics A1N
• Applied Dynamical Systems, 5 (out 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 (out 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 (out 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: Computer Science A1F, Computational Science A1F