120 credits including 60 credits mathematics and/or data science with at least 45 credits mathematics. Participation in one of the courses Regression analysis, Introduction to data science or Financial Derivatives. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Random number generators and simulation of random objects, Monte Carlo. Estimation techniques like Kernel estimation. EM algorithms. Applications within data science/finance/statistics. The course contains an applied project with a specialization within one of the following areas: Financial mathematics, data science or statistics.
