Master's Programme in Mathematics – Financial Mathematics
120 credits
Outline, TMA2M, FINM
A revised version of the outline is available.
- Code
- TMA2M
- Specialisation code
- FINM
- Finalised by
- The Faculty Board of Science and Technology, 9 November 2017
- Registration number
- TEKNAT 2017/120
Semester 1
The three first courses are courses in economics.
Period 1
- Economics: Microeconomic Theory, 7.5 credits (2NE910) Main field(s) of study and in-depth level: Economics A1N
- Economics: Financial Theory, 7.5 credits (2NE930) Main field(s) of study and in-depth level: Economics A1F, Financial Mathematics A1N
Period 2
- Economics: Macroeconomic Theory, 7.5 credits (2NE913) Main field(s) of study and in-depth level: Economics A1N
- Financial Derivatives, 7.5 credits (1MA209) Main field(s) of study and in-depth level: Financial Mathematics A1N, Mathematics A1N
Semester 2
Period 3
- Introduction to Partial Differential Equations, 5 credits (1MA053) Main field(s) of study and in-depth level: Mathematics A1N
Period 4
- Partial Differential Equations with Applications to Finance, 5 credits (1MA255) Main field(s) of study and in-depth level: Financial Mathematics A1N, Mathematics A1N
Additional courses up to 20 credits can be chosen from the list below.
Period 3
- Markov Processes, 10 credits (1MS012) Main field(s) of study and in-depth level: Mathematics A1N
- Scientific Computing III, 5 credits (1TD397) Main field(s) of study and in-depth level: Computational Science A1N, Computer Science A1N, Technology A1N
Period 4
- Analysis of Time Series, 10 credits (1MS014) Main field(s) of study and in-depth level: Financial Mathematics A1N, Mathematics A1N
The student who intends to obtain A Degree of Master (One Year) shall take the following course: Degree project D in Financial Mathematics.
- Degree Project D in Financial Mathematics, 15 credits (1MA181) Main field(s) of study and in-depth level: Financial Mathematics A1E
Semester 3
Period 1
- 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
- Integration Theory, 10 credits (1MA215) Main field(s) of study and in-depth level: Mathematics A1N
Period 2
- Measure Theory and Stochastic Integration, 5 credits (1MA051) Main field(s) of study and in-depth level: Financial Mathematics A1F, Mathematics A1F
- Monte Carlo Methods with Financial Applications, 10 credits (1MA214) Main field(s) of study and in-depth level: Financial Mathematics A1F, Mathematics A1F
Semester 4
- Degree Project E in Financial Mathematics, 30 credits (1MA182) Main field(s) of study and in-depth level: Financial Mathematics A2E
Excet from the courses above it is also possible to chose courses from the other specialisations and from other programmes within the Faculty of Science and Technology. The student also has access to:
- Selected Topics in Mathematics, 5 credits (1MA045) Main field(s) of study and in-depth level: Mathematics A1F
- Selected Topics in Mathematics, 10 credits (1MA267) Main field(s) of study and in-depth level: Mathematics A1F
- Selected Topics in Mathematical Statistics, 5 credits (1MS011) Main field(s) of study and in-depth level: Mathematics A1N
Programme syllabus
- Programme syllabus valid from Autumn 2024
- Programme syllabus valid from Autumn 2023
- Programme syllabus valid from Autumn 2022, version 2
- Programme syllabus valid from Autumn 2022, version 1
- Programme syllabus valid from Autumn 2021, version 2
- Programme syllabus valid from Autumn 2021, version 1
- 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
- Programme syllabus valid from Autumn 2011