Pharmaceutical Bioinformatics

7.5 credits

Course, Master's level, 3FF275

Expand the information below to show details on how to apply and entry requirements.

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
1 September 2025–2 November 2025
Language of instruction
English
Entry requirements

150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or engineering.

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 18,125
  • Total tuition fee: SEK 18,125

Read more about fees.

Application deadline
15 April 2025
Application code
UU-37309

Admitted or on the waiting list?

Registration period
1 August 2025–1 October 2025
Information on registration from the department

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
1 September 2025–2 November 2025
Language of instruction
English
Entry requirements

150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or engineering.

Admitted or on the waiting list?

Registration period
1 August 2025–1 October 2025
Information on registration from the department

Expand the information below to show details on how to apply and entry requirements.

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 January 2026–24 March 2026
Language of instruction
English
Entry requirements

150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or engineering.

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 18,125
  • Total tuition fee: SEK 18,125

Read more about fees.

Application deadline
15 October 2025
Application code
UU-87309

Admitted or on the waiting list?

Registration period
19 December 2025–19 February 2026
Information on registration from the department

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 January 2026–24 March 2026
Language of instruction
English
Entry requirements

150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or engineering.

Admitted or on the waiting list?

Registration period
19 December 2025–19 February 2026
Information on registration from the department

About the course

The course aims to provide basic knowledge of how bioinformatics tools can solve problems within pharmacology, pharmacy, and pharmaceutical chemistry. The course focuses primarily on understanding and using software rather than the underlying mathematical theories. The course contains an introduction and history of pharmaceutical bioinformatics, biological and chemical databases, theory and methods for analysing experimental data, design of experiments, calculation of drug candidate properties, proteochemistry, docking, and virtual drug screening.

On completion of the course you should be able to:

  • understand and describe how bioinformatics tools can be used within pharmaceutical research
  • use bio- and chemoinformatics programs for e.g. sequence alignment, 3D visualisation, and structure-activity relationship-based methods such as proteochemometrics
  • seek relevant information in biological and chemical databases
  • calculate the properties (descriptors) of potential drugs, and correlate these to target protein interactions through bioinformatic modelling
  • interpret and validate the results of the above-mentioned methods.

Outline for distance course: The course is internet-based and has no mandatory meetings. The teaching consists of supervised individual studies via a web-based learning environment that is also used for group exercises, discussions and assignments. Communication between students and teachers is done via the course website and via email. To participate a computer with internet access is required. A written examination through the website ends the course.

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