Applied Pharmaceutical Bioinformatics
Course, Master's level, 3FF208
Expand the information below to show details on how to apply and entry requirements.
Spring 2026 Spring 2026, Flexible, 50%, Distance learning, English
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 16 April 2026–31 May 2026
- Language of instruction
- English
- Entry requirements
-
150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or technology and 4 credits in Bioinformatics.
- Selection
-
All qualified applicants will be admitted.
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 15 October 2025
- Application code
- UU-87313
Admitted or on the waiting list?
- Registration period
- 16 March 2026–16 May 2026
- Information on registration from the department
Spring 2026 Spring 2026, Flexible, 50%, Distance learning, English For exchange students
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 16 April 2026–31 May 2026
- Language of instruction
- English
- Entry requirements
-
150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or technology and 4 credits in Bioinformatics.
Admitted or on the waiting list?
- Registration period
- 16 March 2026–16 May 2026
- Information on registration from the department
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Flexible, 50%, Distance learning, English
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 23 November 2026–15 January 2027
- Language of instruction
- English
- Entry requirements
-
150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or technology and 4 credits in Bioinformatics.
- Selection
-
Higher education credits (maximum 285 credits)
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 13,750
- Total tuition fee: SEK 13,750
- Application deadline
- 15 April 2026
- Application code
- UU-37313
Admitted or on the waiting list?
Autumn 2026 Autumn 2026, Flexible, 50%, Distance learning, English For exchange students
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 23 November 2026–15 January 2027
- Language of instruction
- English
- Entry requirements
-
150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or technology and 4 credits in Bioinformatics.
Admitted or on the waiting list?
Expand the information below to show details on how to apply and entry requirements.
Spring 2027 Spring 2027, Flexible, 50%, Distance learning, English
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 19 April 2027–4 June 2027
- Language of instruction
- English
- Entry requirements
-
150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or technology and 4 credits in Bioinformatics.
- Selection
-
Higher education credits (maximum 285 credits)
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 13,750
- Total tuition fee: SEK 13,750
- Application deadline
- 15 October 2026
- Application code
- UU-87313
Admitted or on the waiting list?
Spring 2027 Spring 2027, Flexible, 50%, Distance learning, English For exchange students
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 19 April 2027–4 June 2027
- Language of instruction
- English
- Entry requirements
-
150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or technology and 4 credits in Bioinformatics.
Admitted or on the waiting list?
About the course
This course teaches how to solve practical problems in pharmacology, life sciences, chemistry and bioinformatics through predictive modelling. The course is a continuation of the course Pharmaceutical Bioinformatics. The focus of this course is practical applications and continuation studies on how to use predictive statistical modelling methods, primarily directed to applications in the pharmaceutical field.
The course includes:
- Introduction to statistical modelling in pharmaceutical bioinformatics.
- Continuation on QSAR and proteochemometrics and descriptors of proteins, peptides and organic molecules.
- Supervised and unsupervised methods for statistical modelling/analysis, such as PCA, PLS, SVM, random forest and neural networks.
- Cluster analysis; methods and tools.
- A short introduction to the programming language Python.
- Practical exercises on cluster analysis.
- Practical exercises on the use of PCA, PLS, SVM, random forest and neural networks.
- Practical exercises in building QSAR and proteochemometrics models.
Outline for distance course: The course is given as web lectures, through downloadable documents for self-studies and teacher-supervised exercises online through a web-based teaching platform, and through exercises that you solve on your own computer using software that can be downloaded from the net. The course has no fixed times and you can carry out your duties at any time of each study week. Communication between teacher and student is via an educational platform and via email. Written examination is performed online at the end of the course.