Data Analysis for Life Science A1N
Course, Master's (2nd cycle),
5 credits,
SY768A
Application
Choose a course instance to see course syllabus and admission requirements.
Cancelled Autumn 2022, Location: Skövde, Pace of study: 17%
Application
This instance has been cancelled, please contact admission@his.se for questions.
Course syllabus, with reading list
When? Where? How?
Study period: 29 august 2022 - 15 january 2023
Location: Skövde, Campus, Daytime
Pace of study: 17%
Admission Requirements
The prerequisites for this course are 150 higher education credits passed, of which at least 90 higher education credits must be courses within biology or medicine. Among these higher education credits, at least 15 must be on G2E-level or higher (or the equivalent).
A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as the Swedish course English 6. This is normally demonstrated by means of an internationally recognized test, e.g. IELTS or TOEFL or the equivalent.
Selection
Guaranteed admission.
Language
The courses are conducted in English.
Autumn 2022, Location: Skövde, Pace of study: 50%
Application
Application is done after nomination.
Course syllabus, with reading list
When? Where? How?
Study period: 29 august 2022 - 16 october 2022
Location: Skövde, Campus, Daytime
Pace of study: 50%
Admission Requirements
The prerequisites for this course are 150 higher education credits passed, of which at least 90 higher education credits must be courses within biology or medicine. Among these higher education credits, at least 15 must be on G2E-level or higher (or the equivalent).
A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as the Swedish course English 6. This is normally demonstrated by means of an internationally recognized test, e.g. IELTS or TOEFL or the equivalent.
Selection
Guaranteed admission.
Language
The courses are conducted in English.
The aim of the course is to give theoretical knowledge and practical skills in data analysis in life science.
The course gives knowledge in experimental design and data analysis for life science. The course contains different analysis methods that will mainly be applied on datasets that have been generated from laboratory experiments in the field of biology. During the course, computer exercises will be applied to illustrate and analyse biological data. The course also includes critical reviewing of a scientific paper with focus on the biological problem and the choice of method used for data analysis.
