The program structure for master students admitted autumn 2020 is presented here.

Master´s Programme in Statistics, admission 2020 – Planned courses 2020 - 2022

Semester 1: Autumn 2020

1. Mathematics for economic and statistical analysis* (Matematik för ekonomisk och statistisk analys). 7,5 ECTS credits, full time, period A (given by the Dep. of Mathematics)
2. R Programming (R Programmering). 7,5 ECTS credits, full time, period B
3. Probability Theory* (Sannolikhetsteori). 7,5 ECTS credits, full time, period C
4. Statistical Inference* (Inferensteori). 7,5 ECTS credits, full time, period D

Semester 2: Spring 2021

1. Computational Statistics* (Statistiska beräkningar). 7,5 ECTS credits, Full time, Period A
2. Multivariate Analysis* (Multivariat analys). 7,5 ECTS credits, full time, period B
3. Bayesians Statistics I (Bayesiansk statistik I). 7,5 ECTS credits, Full time, Period C
4. Machine Learning (Maskininlärning). 7,5 ECTS credits, full time, period D

Semester 3: Autumn 2021

1. Statistical theory of science* (Statistisk vetenskapsteori). 7,5 ECTS credits, full time, period D
2. Sampling and Estimation (Urval och estimation). 7,5 ECTS credits, Full time, Period B
3. Experimental Design (Försöksplanering). 7,5 ECTS credits, Full time, Period C
4. Generalized Linear Models (Generaliserade linjära modeller). 7,5 ECTS credits, Full time, Period D

Semester 4: Spring 2020

Master's thesis in Statistics* (Examensarbete i statistik för masterexamen). 30 ECTS credits, Full time, Period A – D

The program structure for master students admitted autumn 2019 is presented here.

Master´s Programme in Statistics, admission 2019 – Planned courses 2019 - 2021

Semester 1: Autumn 2019

1. Mathematics for economic and statistical analysis* (Matematik för ekonomisk och statistisk analys). 7,5 ECTS credits, full time, period A (given by the Dep. of Mathematics)
2. Probability theory* (Sannolikhetsteori). 7,5 ECTS credits, full time, period B
3. Statistical inference* (Inferensteori). 7,5 ECTS credits, full time, period C
4. Statistical theory of science* (Statistisk vetenskapsteori). 7,5 ECTS credits, full time, period D

Semester 2: Spring 2020

1. Multivariate analysis* (Multivariat analys). 7,5 ECTS credits, full time, period A
2. Sampling and estimation (Urval och estimation). 7,5 ECTS credits, full time, period B
3. Statistical computation* (Statistiska beräkningar). 7,5 ECTS credits, Full time, Period C
4. Statistical methods* (Statistiska metoder). 7,5 ECTS credits, Full time, Period D

Semester 3: Autumn 2020 (Optional courses, changes may occur)

1. Experimental design (Försöksplanering). 7,5 ECTS credits, Full time, Period A
2. Sampling and estimation (Urval och estimation). 7,5 ECTS credits, Full time, Period B or: R Programming (R programmering) 7,5 ECTS credits, Full time, Period B
3. Generalized linear models (Generaliserade linjära modeller). 7,5 ECTS credits, Full time, Period C
4. Bayesian Statistics I (Bayesiansk statistik I). 7,5 ECTS credits, Full time, Period D

Semester 4: Spring 2021

Master´s thesis in statistics* (Examensarbete i statistik för masterexamen). 30 ECTS credits, Full time, Period A – D

Below you will find examples of some Master's theses that have been written at the Department of Statistics.

Newer theses

• Mirzai, Patrik: Bayesian Parameter Estimation of Hidden Markov Models
• Sigfrid, Karl: Online pay-per-click marketing-response function and marketing mix

Older theses

• Bueno, Edgar:  A Without-replacement Fixed-sized Sampling Design
• Engleryd, Fredrik: Stratified score interval for a weighted sum of proportions with application on the ICT usage in Swedish enterprises survey
• Sigurjónsdóttir, Bergdís Björk: Flexible Parametric Survival Modeling with Application to the Age, Gene/Environment Susceptibility (AGES) – Reykjavik Study Data
• Ul Hassan, Mahmood: Fitting probability distributions to economic growth a maximum likelihood approach
• Wang, Qun: Comparison of different sensitivity rules in primary cell suppression for tabular data