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Master of Industrial Mathematics
Program structure diagram
| V5 |
MAT-3921/STA-3921
Master's thesis in Industrial Mathematics, 30 ECTS |
| H5 |
MAT-3220/STA-3220
Project in Industrial Mathematics |
Optional/Specialisation |
Optional(Specialisation) |
| V4 |
Specialisation |
Optional(Specialisation) |
Optional(Specialisation) |
| H4 |
Optional |
Specialisation/Optional |
MAT-3200
Continuum models/ STA-3002
Multivariable statistical analysis |
| V3 |
MAT-2100
Complex analysis |
MAT-2201
Numerical methods |
FIL-0700
Examen philosophicum |
| H3 |
MAT-2101
Hilbert spaces |
FYS-2000 Quantum mechanics/
STA-2002
Theoretical statistics |
Optional |
| V2 |
MAT-2200
Differential equations |
FYS-1002
Electromagnetism/
STA-1002
Probability and statistics 2 |
INF-1101
Data structures and algorithms |
| H2 |
MAT-1003
Calculus 3 |
STA-2001
Stochastic processes |
FYS-1001
Mechanics |
| V1 |
MAT-1002
Calculus 2 |
MAT-1004
Linear algebra |
STA-1001
Probability and statistics 1 |
| H1 |
MAT-1001
Calculus 1 |
FYS-0100
Basic physics |
INF-1100
Programming fundamentals |
Objectives
A master’s degree in industrial mathematics aims to give the student a solid foundation in mathematical subjects employed in development work for industry and business and in industrially related research. The program consists of components from applied mathematics, statistics, computer science and the sciences. Emphasis is laid upon developing skills in the formulation of models and their analysis by means of available analytical and numerical methods.
Training in programming, scientific computing and visualisation as well as the interpretation and evaluation of results and their relevance are the primary goals.
Content
The student will spend the first three semesters developing an academic foundation in mathematics, statistics and computer science. In the fourth semester the student must choose one of the two following study options: 1) Statistics or 2) Applied Mathematics.
The master’s degree finishes with a project and a diploma assignment, both being tailored to suit the individual student’s interests and abilities and will be directed towards an area where the Department has special research based competencies.
The program contains obligatory courses equivalent to 180 course credits and the two study options referred to above have 15 obligatory courses in common:
MAT-1001 Calculus 1
MAT-1002 Calculus 2
MAT-1003 Calculus 3
MAT-1004 Linear algebra
MAT-1005 Discrete mathematics 1
MAT-2200 Differential equations
MAT-2101 Hilbert spaces
MAT-2100 Complex analysis
MAT-2201 Numerical methods
STA-1001 Probability and statistics 1
STA-2001 Stochastic processes
FYS-1001 Mechanics
INF-1100 Programming fundamentals
INF-1101 Data structures and algorithms
FIL-0700/FIL-0701 Examen philosophicum
The remaining obligatory subjects are:
1. For Applied Mathematics
FYS-1002 Electromagnetism
FYS-2000 Quantum mechanics
MAT-3200 Continuum models
2. For Statistics
STA-1002 Probability and statistics 2
STA-2002 Theoretical statistics
STA-3002 Multivariable statistical analysis
The program also includes a 30-ECTS specialisation from the same academic area as the diploma assignment. This is covered by the project work and 20 ECTS from the student’s main area of study that are chosen in consultation with the student’s supervisor.
Specialisation courses:
MAT-3201 Dynamical systems
MAT-3202 Nonlinear waves
MAT-3210 Optimization
MAT-3211 Bioinformatics
STA-3000 Asymptotic theory
STA-3001 Computer-intensive statistics
STA-3003 Non-parametric inference
Both programs provide for 60 ECTS of elective subjects. At least one elective, 10 ECTS, must be non-scientific in nature. Scientific electives will be chosen from mathematics, statistics, computer science, physics, chemistry, biology and geology. These electives have to be specified later when course availability is known.
Courses from the student’s own main line of study can also be taken as electives and obligatory subjects from the program in Applied Mathematics can be electives in the Statistics program and vice versa.
For further information on evaluation/examination/assesment, see individual course descriptions.
Student exchange
Educational sabbatical abroad is advised to be taken 3th or 4th year of study.
Qualification awarded
The master's degree programme in industrial mathematics qualify for the Master of Science degree.
Access to further studies
The Master of Science degree is a prerequisite for admission to PhD-studies.
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