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Statistical Methods for Data Science

Master's level | 7.5 credits | Course code: DIT862

The course is not given as a stand-alone course this academic year, but can be included in the program/course package. For information contact the department.

About the Course

The course gives an introduction to the theory of probability and statistics, data analysis using descriptive statistics and data visualization, and applications of probabilistic modeling in data science.

In the course, the following broad areas will be covered:

  • data analysis including descriptive statistics and data visualization probability theory including basic probability calculations, random variables, distributions
  • statistical methods including point and interval estimates, hypothesis testing, regression
  • probabilistic models in data science applications, for instance, Naive Bayes classifiers and topic models for text or Hidden Markov Models for sequences 

More Information

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Course Syllabus


Tuition Fee

Please contact the department.
EU/EEA citizens, Swedish residence permit holders and exchange students do not pay fees. More information on:

Study Guidance



Department of Computer Science and Engineering
41296 Göteborg

Visiting address: Rännvägen 6 B

Page Manager: Jörgen Ölund
Last update: 2/18/2020 2:41 PM

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Page Manager: Jörgen Ölund|Last update: 10/16/2018

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