Programme structure
The programme option contains three fields of specialisation; Insurance, Risk and Reliability Analysis and Mathematical Finance. The specialisation in Insurance qualifies you as an Actuary.
Recommended study plan for Insurance:
| 4. semester | Master's thesis | |||||||||||||||||||||||||||||
| 3. semester | Master's thesis / Master's course | Master's thesis / Master's course | Master's course | |||||||||||||||||||||||||||
| 2. semester | Master's thesis / Master's course | STK4500 - Finance and Insurance | Master's course | |||||||||||||||||||||||||||
| 1. semester | STK4540 - Non-Life Insurance Mathematics | STK4510 - Introduction to methods and techniques in financial mathematics | Master's course | |||||||||||||||||||||||||||
| 10 ECTS credits | 10 ECTS credits | 10 ECTS credits | ||||||||||||||||||||||||||||
Mandatory courses for the specialisation Insurance:
STK4500 - Finance and Insurance
STK4540 - Non-Life Insurance Mathematics
STK4510 - Introduction to methods and techniques in financial mathematics
The course STK4520 - Laboratory for Finance and Insurance Mathematics is not mandatory, but strongly recommended for this specialisation.
Recommended courses for the specialisation in Insurance:
• STK4000 - Special curriculum and seminar
• STK4010 - Asymptotic theory
• STK4020 - Bayesian statistics
• STK4030 - Moderne data analys
• STK4040 - Multivariable analysis
• STK4050 - Statistical simulations and computation
• STK4060 - Time series
• STK4070 - Linear models, random components and general linear models
• STK4080 - Survival and event history analysis
• STK4110 - Bayesian time series analysis
• STK4130 - Estimation Theory
• STK4140 - Experimental Design
• STK4150 - Environmental and spatial statistics
• STK4520 - Laboratory for Finance and Insurance Mathematics
• STK4530 - Interest Rate Modelling via SPDE's
Recommended study plan for the specialisation Risk and Reliability Analysis:
| 4. semester | Master's thesis | |||||||||||||||||||||||||||||
| 3. semester | Master's thesis/ Master's course | Master's thesis/ Master's course | Master's course | |||||||||||||||||||||||||||
| 2. semester | Master's thesis/ Master's course | STK4400 - Risk and reliability analysis | Master's course | |||||||||||||||||||||||||||
| 1. semester | STK4020 - Bayesian statistics | Master's course | Master's course | |||||||||||||||||||||||||||
| 10 ECTS credits | 10 ECTS credits | 10 ECTS credits | ||||||||||||||||||||||||||||
Recommended courses for the specialisation in Risk and Reliability Analysis:
• STK4000 - Special curriculum and seminar
• STK4010 - Asymptotic theory
• STK4020 - Bayesian statistics
• STK4030 - Moderne data analys
• STK4040 - Multivariable analysis
• STK4050 - Statistical simulations and computation
• STK4060 - Time series
• STK4070 - Linear models, random components and general linear models
• STK4080 - Survival and event history analysis
• STK4110 - Bayesian time series analysis
• STK4130 - Estimation Theory
• STK4140 - Experimental Design
• STK4150 - Environmental and spatial statistics
• STK4500 - Finance and Insurance
• STK4510 - Introduction to methods and techniques in financial mathematics
Recommended study plan for the specialisation Mathematical Finance:
| 4. semester | Master's thesis | |||||||||||||||||||||||||||||
| 3. semester | Master's thesis / Master's course | Master's thesis / Master's course | Master's course | |||||||||||||||||||||||||||
| 2. semester | Master's thesis / Master's course | MAT4701 - Stochastic analysis with applications | Master's course | |||||||||||||||||||||||||||
| 1. semester | MAT4400 - Linear analysis with applications | STK4510 - Introduction to methods and techniques in financial mathematics | Master's course | |||||||||||||||||||||||||||
| 10 ECTS credits | 10 ECTS credits | 10 ECTS credits | ||||||||||||||||||||||||||||
Mandatory courses for the specialisation in Mathematical Finance:
• MAT4400 - Linear analysis with applications
• STK4510 - Introduction to methods and techniques in financial mathematics
• MAT4701 - Stochastic analysis with applications
Mandatory courses for the specialisation in Mathematical Finance from Autumn 2011 are:
• MAT4400 - Linear analysis with applications (for students admitted to the programme from the Spring of 2009 until the Spring of 2011 MAT4300 - Measure and integration )
• STK4510 - Introduction to methods and techniques in financial mathematics
• MAT4701 - Stochastic analysis with application
Recommended courses for the specialisation:
• MAT4730 - Mathematical Finance
• MAT4340 - MAT4340 - Elementary functional analysis
• MAT4500 - Topology
• MAT-INF4300 - Partial differential equations and Sobolev spaces I
• STK4060 - Time series
• STK4500 - Finance and Insurance
• STK4520 - Laboratory for Finance and Insurance Mathematics
• STK4530 - Interest Rate Modelling via SPDE's
The first semester of the Master’s programme starts with courses that give you a foundation for further specialisation towards your Master’s thesis. After this, the study plan varies depending on whether you will be commencing upon a 30 ECTS credit Master’s thesis or a 60 credit Master’s thesis:
• Short thesis: You continue with courses chosen from the programme option’s recommended list and within the specialisation you choose (see the plan above) in the second and third semester. During the third semester you discuss with your supervisor what the topic for your thesis should be. The thesis is carried out in the fourth semester.
• Long thesis: You commence on your Master’s thesis during the second semester and also take courses from the programme option’s recommended list. Which optional courses you should choose, should be discussed with your supervisor. In the second semester you take 10 ECTS credit courses and work on your thesis. The last semester is in its entirety devoted to thesis work.
Recognition of Master courses from former education
If you are admitted to the Masters Programme and you have completed Master courses outside the University of Oslo, you may apply to have these courses recognised as part of your degree. Please contact the Department of Mathematics for more information.