- Walpole, Ronald E. (red.) (2014). Probability and statistics for engineers & scientists. 9th ed., Pearson new international ed. Harlow, Essex: Pearson Education Limited
Mathematical Statistics
Freestanding course
Freestanding course, bachelor’s level
7.5 credits
Malmö | daytime | 50%
1 September 2025 - 9 November 2025
Applications open 17 March
International students
International students
Full tuition fee: 20,000 SEK
EU/EEA students are generally not required to pay tuition fees.
About the course
The purpose of the course is that the student develops knowledge and gain basic skills in statistical models in order to handle the stochastic variations and also be familiar with some data analysis methodologies, which are based on probability theory, for instance, parameter estimate, correlation and regression analysis, hypothesis testing.
Course content
The Course contains the following moments:
- Probability theory: classical probability, Stochastic variables in one and higher dimension, some well-known distributions, Central limit theorems, Approximations
- Inference theory: Sampling, Descriptive statistics, Point-wise estimate, Confidence Interval, Comparison in pair and for independent samples, Hypothesis testing, Analysis of variance
- Statistical models: Correlation, Simple linear regression, Nonlinear regression, Multiple regression
- SPSS program
Entry requirements and selection
Entry requirements
Pass in following course: MA209A: Analysis A and Linear Algebra, 15 credits or alternatively at least 15 credits from MA301A: Calculus with Applications and MA300A: Linear Algebra with Applications.
The equivalent of English 6 in Swedish secondary school.
Selection
100% University credits completed
Course literature
Course evaluation
Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).
