This course provides an overview of key results in probability and statistics relevant for social research and introduces programming tools for statistical analysis. Major probability distributions, including the binomial, normal, exponential, and Poisson distributions, used in social science research are introduced and their properties and applications are explored in intensive computer labs. Statistical software is used to simulate from these distributions. Computational methods, including Monte Carlo simulation, are used to explore key theorems under various conditions. Hypothesis tests for parameters and statistics related to common univariate distributions are introduced, and computational alternatives (e.g., bootstrapping, permutation tests) are considered.
Statistics and Data Science I
7.5 creditsStatistics and Data Science I, 7.5 credits
Autumn 2025, Half-time, Norrköping
Will open for late application 15 July 2025
Starts:
Autumn 2025
Start date:
18 August
End date:
26 October
Place of study:
Norrköping
Pace of study:
Half-time
Level:
Second cycle
Teaching form:
On-Campus
Education Time:
Day-time
Education Language:
English
Course offering id:
LIU-46101
Number of Places:
2
Specific requirements
- 180 ECTS credits passed including 90 ECTS credits within one of the following areas humanities, social-, cultural-, behavioural-, natural-, computer-, or engineering-sciences
- 15 ECTS credits passed in one or several of the following subjects:
Statistics
Mathematics
Computer science - English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
Exemption from Swedish
Selection
Tuition fees
SEK 17600 - NB: Applies only to students from outside the EU, EEA and Switzerland.