Programme structure

The programme option Applied Mathematics and Risk Analysis is built around a Master's thesis, which is an independent scientific research work of 60 ECTS credits, and six courses with a total of 60 ECTS credits. 

Course of study

Example

4. semester	Master's thesis	Master's thesis	Master's thesis
3. semester	Master's thesis	Master's thesis	Master's thesis
2. semester	Mandatory course	Elective course	Elective course
1. semester	Mandatory course	Elective course	Elective course
	10 ECTS credits	10 ECTS credits	10 ECTS credits

Mandatory courses

Select two of the following courses:

• IN4200 – High-Performance Computing and Numerical Projects
• FYS-STK4155 – Applied Data Analysis and Machine Learning
• MAT4110 – Introduction to Numerical Analysis

If you have already completed these courses, or courses with similar content, you may replace them with elective courses. If so, please consult your contact person regarding recommendation of elective courses.

Recommended courses

Recommended course for applied mathematics:

• MAT4170 – Spline Methods 
• MAT-INF4110 – Mathematical Optimization (discontinued) 
• MAT-INF4130 – Numerical Linear Algebra (discontinued) 
• MAT3360 – Introduction to Partial Differential Equations 
• INF5620 – Numerical methods for partial differential equations (continued) 

Recommended courses for risk analysis:

• STK4400 – Risk and Reliability Analysis
• STK4405 – Introduction to Risk and Reliability Analysis
• MAT-INF4110 – Mathematical Optimization (discontinued)