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Biostatistics

  • Number of credits 5 Credits
  • Level Master’s level
  • Starting Autumn Term 2019

Admitted to the course

Here you will find everything you need to know before the course starts.

About the course

The focus is on the understanding of statistical reasoning in analysis of data and research. The course starts with a general discussion of the role of probability and statistics in scientific method. Basic study designs and sampling methods are outlined. Types and structures of data are discussed e.g. quantitative and categorical data and different measurement levels. Next step is basic description of data in tables, graphs and measures. The concepts of probability and inference are introduced with emphasis on hypothesis testing and confidence intervals. Different types of analysis are discussed such as comparing two or several groups and analyzing relationships between variables. Parametric and non-parametric statistical tests are described and calculation of sample size is discussed. Epidemiological research articles will be discussed with focus on the statistical methodology. During the whole course theoretical parts will be illustrated with practical exercises for the students in a statistical software program.
Upon successful completion of the course, the student is expected to; have knowledge about relevant statistical terminology and the role of statistics as a scientific method; recognize different types and structures of data and be able to summarize data in tables, graphs and measures; understand basic statistical concepts about probability and inference with emphasis on hypothesis testing and confidence intervals; be able to use a statistical software for basic statistical analysis; be able to perform appropriate statistical analyses concerning comparisons of groups and relationship between variables and be able to interpret the result of such analyses; understand the content of basic statistical methodology in scientific epidemiological articles.

Teaching is conducted through lectures, seminars, assignments and group exercises. Seminars, assignments and group exercises are compulsory. All teaching is in English.

Application and eligibility

Biostatistics, 5 hp

Visa tillfällen för föregående termin Autumn Term 2019 Det finns inga senare terminer för kursen

Starts

Lectures begin on week starting 14 October 2019

Ends

Lectures end during the week of 28 October 2019

Study location

Umeå

Language

English

Type of studies

Daytime, 100%

Required Knowledge

For non-programme students applying as single-course students, the requirements are 120 ECTS, of which a minimum of 30 ECTS are within one of the following: health sciences, environmental health or social sciences.
English proficiency equivalent to English B/6 from Swedish Upper secondary education. Basic entrance requirements for higher studies in Swedish language proficiency is also required if the course is taught in Swedish.

Selection

Academic credits Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.

Application code

UMU-F3038

Application

Online applications are now open. You will be transferred to Universityadmissions.se. Application deadline is 15 January 2019.

Application and Tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK900

Tuition fee, first instalment

SEK12,367

Total fee

SEK12,367

Contact us

Please be aware that the University is a public authority and that what you write here can be included in an official document. Therefore, be careful if you are writing about sensitive or personal matters in this contact form. If you have such an enquiry, please call us instead. All data will be treated in accordance with the General Data Protection Regulation.

Course is given by
Epidemiology and Global Health
Contact person for the course is:
Eva Selin