Master's programme in theoretical and computational methods

120 cr

Discipline studies

Theoretical and computational methods, advanced studies

90-120 cr

Study module

Compulsory courses

Seminar in Theoretical and Computational Methods

Master's thesis

Maturity test

Optional courses

Course supporting scientific knowledge

Advanced Topics in Theoretical and Computational Methods

Course completed in another university

Optional course packages

Choose at least 55 cr. You can choose whole course packages or individual courses.

Quantum Physics

Quantum mechanics IIa

Quantum mechanics IIb

Quantum chemistry

Mathematical Methods of Physics IIIa

Mathematical Methods of Physics IIIb

Quantum Information A

Quantum Information B

Statistical Physics

Advanced statistical physics

Kinetic Theory

Particle Physics and Cosmology

Introduction to particle physics II

Quantum field theory I

Quantum field theory II

Cosmology II

General relativity

General relativity I

General relativity II

Lattice field theory

Thermal field theory

String theory

Special courses in particle physics

Special courses in cosmology

Condensed matter physics

Modelling of biological systems

Solid state continuum mechanics II

Solid state physics I

Solid state physics II

QM and hybrid QM/MM modeling of bio/chemical systems

Programming and numerical methods

Statistical Methods

Numerical Methods in Scientific Computing

Basics of Monte Carlo simulations

Monte Carlo simulations in physics

Molecular dynamics simulations

Specialized courses in computational methods

Tools for high performance computing

Computational nanoscience

Atmospheric sciences

Simulations of Formation of Molecular Clusters

Aerosol Modelling

Chemical transport modelling I

Chemical transport modelling II

Numerical Meteorology I

Numerical Meteorology II

Laboratory Course in Numerical Meteorology

Introduction to Earth System Modelling

Functional analysis and spectral theory

Functional analysis

Spectral theory

Partial Differential Equations I

Integral equations

Introduction to Real and Fourier Analysis

Fourier Analysis and Distributions

Applied analysis and partial differential equations

Partial Differential Equations I

Integral equations

Partial Differential Equations II

Functional analysis

Introduction to Real and Fourier Analysis

Fourier Analysis and Distributions

Advanced Course in Real Analysis

Stochastic analysis

Stochastic Methods A

Stochastic Methods B

Probability theory I

Probability theory II

Functional analysis

Introduction to Real and Fourier Analysis

Algebraic and topological methods

Topology II

Algebra II

Riemannian geometry

Open Quantum Systems

Introduction to mathematical physics A

Introduction to mathematical physics B

Hamiltonian dynamics

Quantum dynamics

Kinetic Theory

Partial differential equations I

Integral equations

Bayesian inversion

Inverse problems 1: convolution and deconvolution

Functional analysis

Bayesian inversion

Inverse problems 1: convolution and deconvolution

Inverse problems project work

Computer science

Design and Analysis of Algorithms

Approximation algorithms

Randomized Algorithms I

Randomized Algorithms II

Combinatorial Optimization

Algorithms in Genome Analysis

Introduction to Data Science

Introductiont to Machine Learning

Advanced Course in Machine Learning

Network Analysis

Computational Statistics I

Bayesian Data Analysis

Probabilistic Graphical Models

Bayesian Machine Learning

Chemistry

Quantum Chemistry

Mathematical and Numerical Methods in Theoretical Chemistry

Density functional theory

Spectroscopy

Molecular Modelling

Molecular Properties

Laser Spectroscopy

Molecular electronic structure

Other studies

Other Studies in Theoretical and Computational Methods

Quantum mechanics I

Statistical mechanics

Scientific computing I

Aerosol Physics I

Aerosol Physics II

Quantum statistics

Scientific computing II 

Mekaniikan jatkokurssi

Kvanttilaskenta

Computational Chemistry

Working life and expertise

Optional

Career planning

Practical training

Internationalization period - Mobility window

Optional

Study module completed in a foreign university

Course completed in another university

(Parts integrated to other courses)

Personal Study Plan (PSP)

University's own student feedback

Optional studies

Freely chosen study modules

Study module

Optional

Freely chosen courses

Courses

Optional

Course supporting scientific knowledge

Finnish 1A

Finnish 1B

Study modules offered for students from other degree programmes

Theoretical and computational methods, study module, min. 15 cr