Outline for Master's Programme in Mathematics

• 120 credits
• Programme code: TMA2M
• Specialization Code: FINM
• Established: 2009-05-06
• Established by: The Educational Board of Science
• Revised: 2014-11-13
• Revised by: The Educational Board of Science
• Reg. no: TEKNAT 2014/45
• Outline applies from: Autumn 2015
• Responsible faculty: Faculty of Science and Technology

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: Financial Mathematics A1N, Economics A1F

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: Mathematics A1N, Financial 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: Mathematics A1N, Financial Mathematics A1N

Additional courses up to 20 credits can be chosen from the list below and/or be optional courses in National economy.

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: Computer Science A1N, Technology A1N, Computational Science A1N

Period 4

• Analysis of Time Series, 10 credits (1MS014)
  Main field(s) of study and in-depth level: Mathematics A1N, Financial Mathematics A1N
• Computational Finance: Calibration and Estimation, 5 credits (1TD188)
  Main field(s) of study and in-depth level: Computer Science A1N, Computational Science A1N, Financial 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: Computer Science A1N, Computational 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: Mathematics A1F, Financial Mathematics A1F
• Monte Carlo Methods with Financial Applications, 10 credits (1MA214)
  Main field(s) of study and in-depth level: Mathematics A1F, Financial 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