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Advanced biostatistics and epidemiology

  • Number of credits 7.5 credits
  • Level Master’s level
  • Starting Autumn Term 2023

About the course

The emphasis of the course is on the understanding of statistical reasoning in the analysis of epidemiological data and research.
 
Concepts and tools for causation will be discussed. Different types of regression analyses will be described and applied with a focus on application of linear and logistic regression. Other methods such as Poisson regression, Cox regression and survival analysis, multilevel modelling and mediation analysis will also be introduced.  The course will also bring up examples of utilization of epidemiological data analysis in research and practice.
 
Epidemiological research articles will be discussed with focus on the statistical and epidemiological methods, and theoretical parts will be illustrated with discussion exercises and computer exercises with epidemiological data.

Application and eligibility

Advanced biostatistics and epidemiology, 7.5 credits

Det finns inga tidigare terminer för kursen Autumn Term 2023 Visa tillfällen för efterkommande termin

Starts

31 October 2023

Ends

30 November 2023

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 and Proficiency in English equivalent to Swedish upper secondary course English B/6. To be admitted to the course the applicant must have passed the course 3FH072 Biostatistics and the course 3FH038 Epidemiology or have equivalent qualifications.

Entry requirements

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-30415

Application

Application deadline was 17 April 2023. The application period is closed.

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

SEK 900

Tuition fee, first instalment

SEK 18,550

Total fee

SEK 18,550

Starts

31 October 2023

Ends

30 November 2023

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 and Proficiency in English equivalent to Swedish upper secondary course English B/6. To be admitted to the course the applicant must have passed the course 3FH072 Biostatistics and the course 3FH038 Epidemiology or have equivalent qualifications.

Entry requirements

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-F3048

Application

Application deadline was 16 January 2023. The application period is closed.

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

SEK 900

Tuition fee, first instalment

SEK 18,550

Total fee

SEK 18,550

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
Contactperson for the course is:
Carina Luther