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Biological physics in the Computational Science programme

This page describes how to compose a study plan for the 2023 master programme in Computational Science, Physics comparable to the course content of the earlier programme in Physics, Biological Physics and Computational Biology.

For introductory information about the Master programme in Computational Science with specialization in Physics, see its information sheet:

For a student with a bachelor's degree in physics, the Computational Science master's programme can be designed to provide an in-depth education in biological physics and computational biology. The following plan is an example of courses that can be put together to prepare for a 30 credit master's degree project at the research front in these fields.

The plan assumes a bachelor in physics with courses corresponding to the contents of these 7.5 credit courses:

  • FYSB22 Basic Quantum Mechanics
  • FYSB23 Basic Statistical Physics and Quantum Statistics
  • FYSB24 Atomic and Molecular Physics
  • One of FYTB13 Electromagnetism, FYSC22 Nuclear Physics or FYSC24 Particle Physics, Cosmology and Accelerators

The autumn and spring term are each split in two study periods of 15 credits, and each period is typically filled with two 7.5 credit courses running in parallel at half pace. The spring of year 2 is devoted to a 30 credit master's degree project.

Year 1

Autumn, first period:

  • BERN01 Modelling in Computational Science (compulsory)
  • MASC04 Stationary Stochastic Processes

Autumn, second period:

  • FYTN15 Statistical Mechanics
  • NUMN32 Numerical Methods for Differential Equations (compulsory)

Spring, first period:

  • FYTN05 Theoretical Biophysics
  • MASM11 Monte Carlo Methods for Statistical Inference (elective)

Spring, second period:

  • NUMN28 Numerical Simulations of Flow Problems (elective)
  • Optional course; see below

Year 2

Autumn, first period:

  • FYTN03 Computational Physics (elective)
  • FYSN17 Quantum Mechanics

Autumn, second period:

  • FYTN14 Introduction to Artificial Neural Networks and Deep Learning (elective)
  • FYTN12 Systems Biology: Models and Computations

Spring, both periods

  • BERMxx Degree project, Master of Science, 30 credits

Alternative courses

To some extent, you can select other courses if if they fit your interests better, or if some of the above are already part of the your pre-knowledge. Here are some examples of alternative options:

Autumn, first period:

  • FYSN21 Quantum Physics in Research and Society (also autumn 2nd)
  • BERN02 Reproducible Data Science and Statistical Learning

Autumn, second period:

  • ASTM29 Statistical Tools in Astrophysics (more widely applicable than the name suggests)
  • FYTN16 Classical Mechanics (odd years)
  • KEMA03 Biokemi - grundkurs (in Swedish, also spring 2nd)

Spring, first period:

  • FYST67 Experimental Biophysics (15 credits, half-time, whole semester)
  • FYSN23 Advanced Electromagnetism

Spring, second period:

  • MASM15 Statistical Modelling of Extreme Values
  • FYST37 Advanced Quantum Mechanics
  • FYST45 Atmospheric Physics and Chemistry
  • FYTA14 Fluid Dynamics
  • KEMA03 Biokemi - grundkurs (in Swedish, also autumn 2nd)
  • (FYST67 Experimental Biophysics, continued)

Other courses that may also be suitable

  • ASTC01 Astrobiology (autumn, 2nd period)
  • FYST57 Chaos, Science and Technology (autumn, 1st period)
  • FYST58 Atomic and Molecular Spectroscopy (autumn, 1st period)
  • FYTN01 Mathematical Methods in Physics (autumn, 1st period)
  • MAXM06 Introduction to Synchrotron Radiation Based Science (autumn, 1st period)

Courses outside of physics, which may require special dispensation:

  • BINP16 Programming in Python (full-time, October)
  • BINP11 Bioinformatics and Sequence Analysis (full-time, September)
  • MOBA01 Cell Biology (Swedish, full-time, 15 hp)
  • KFKN10 Biophysical Chemistry (autumn, 2nd period)
  • KMBF01 Molecular Cell Biology (15 hp, spring)
  • KEMM25 Structural Biochemistry (15 hp, full-time, autumn, 2nd period)


Director of studies
Johan Rathsman
studierektor [at] atp [dot] lu [dot] se

Master programme coordinators

David Hobbs
david [dot] hobbs [at] astro [dot] lu [dot] se

Theoretical physics
Roman Pasechnik
roman [at] thep [dot] lu [dot] se

Biological physics and computational biology
Carl Troein
carl [at] thep [dot] lu [dot] se