Master's Programme in Precision Medicine
120 credits
The right treatment for the right patient at the right time. How can treatment be tailored to an individual patient, and what will it look like in the future? The Master's Programme in Precision Medicine gives you theoretical knowledge and practical experience in how to generate, analyse and interpret large-scale biological data to diagnose patients and enable individualised treatment.
Autumn 2024 Autumn 2024, Uppsala, 100%, On-campus, English
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Start date
- 2 September 2024
- Language of instruction
- English
- Entry requirements
-
Academic requirements
A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. The degree must be in biochemistry/chemistry, biology, biomedicine/medicine, biotechnology, bioinformatics, cell-/molecular biology, genetics, life science, medical sciences, pharmacy, or a similar field of study.
Also required is:
- courses in biochemistry, cell biology, bioinformatics, chemistry, genetics, and molecular biology/-genetics totalling at least 30 credits; and
- courses in statistics, mathematics, or computational science totalling at least 5 credits.
Language requirements
Proficiency in English equivalent to the Swedish upper secondary course English 6. This requirement can be met either by achieving the required score on an internationally recognised test, or by previous upper secondary or university studies in some countries. Detailed instructions on how to provide evidence of your English proficiency are available at universityadmissions.se.
- Selection
-
Students are selected based on an overall appraisal of previous university studies and a statement of purpose.
- 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 72,500
- Total tuition fee: SEK 290,000
- Application deadline
- 15 April 2024
- Application code
- UU-P3870
- Additional information
-
In addition to the general supporting documents, you also need to submit a programme-specific application summary sheet Pdf, 154 kB..
Check the application guide for information on how to apply and what other supporting documents you need to submit.
There are two admissions rounds for this Master's programme. We strongly encourage all international students to apply in the first admissions round. The second admissions round is primarily for Swedish students and citizens of an EU/EEA country or Switzerland. Key dates for application to the autumn semester.
Autumn 2025 Autumn 2025, Uppsala, 100%, On-campus, English
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Start date
- 1 September 2025
- Language of instruction
- English
- Entry requirements
-
Academic requirements
A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. The degree must be in biochemistry/chemistry, biology, biomedicine/medicine, biotechnology, bioinformatics, cell-/molecular biology, genetics, life science, medical sciences, pharmacy, or a similar field of study.
Also required is:
- courses in biochemistry, cell biology, bioinformatics, chemistry, genetics, and molecular biology/-genetics totalling at least 30 credits; and
- courses in statistics, mathematics, or computational science totalling at least 5 credits.
Language requirements
Proficiency in English equivalent to the Swedish upper secondary course English 6. This requirement can be met either by achieving the required score on an internationally recognised test, or by previous upper secondary or university studies in some countries. Detailed instructions on how to provide evidence of your English proficiency are available at universityadmissions.se.
- Selection
-
Students are selected based on an overall appraisal of previous university studies and a statement of purpose.
Tuition fee-paying students and non-paying students are admitted on the same grounds but in different selection groups.
- 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 72,500
- Total tuition fee: SEK 290,000
- Application deadline
- 15 January 2025
- Application code
- UU-M3870
- Additional information
-
In addition to the general supporting documents, you also need to submit a programme-specific application summary sheet Pdf, 154 kB..
Check the application guide for information on how to apply and what other supporting documents you need to submit.
There are two admissions rounds for this Master's programme. We strongly encourage all international students to apply in the first admissions round. The second admissions round is primarily for Swedish students and citizens of an EU/EEA country or Switzerland. Key dates for application to the autumn semester.
About the programme
The Master's Programme in Precision Medicine includes advanced courses in medical genetics, cancer biology and molecular diagnostics, with in-depth studies of large-scale molecular mapping and imaging technologies. Early in the programme, you will also learn basic programming and biostatistics, after which computer-based analysis runs throughout the programme.
You will learn the basics of machine learning and artificial intelligence techniques with a clear focus on their use in precision medicine. You also have the opportunity to select your own in-depth courses in areas that you are particularly interested in. Through collaboration with both clinicians and active researchers, you will be given the opportunity to analyse real patient data and establish contacts with future employers.
The programme gives you:
- understanding and basic skills in the possibilities and current limitations offered by artificial intelligence and machine learning,
- experience in basic programming and biostatistics,
- competence in using and developing diagnostic tools that enable personalised care.
Student profile
The programme is given in English. It is open to both Swedish and international students who have a Bachelor's degree in biology, biomedicine, molecular biology, pharmacy or chemistry including courses in genetics, cell biology or molecular biology and statistics. Around 20 students will be admitted to the programme ensuring high-quality education and tutoring. Most of the courses are programme-specific, although the first courses will be read together with other Master's students at Uppsala University.
As a student in the programme, you are curious about how large-scale biological data together with computer-based analyses can be used to diagnose and treat individual patients. You are interested in natural science and medicine, have good analytical skills and are familiar with using computers.
Degree
The programme leads to the degree of Master of Medical Science (120 credits) with Precision Medicine as the main field of study.
Content
The first year consists of courses aimed at providing students with a broad knowledge of medical genetics, molecular diagnostics, and precision medicine. As a student, you will learn about the technologies used for molecular diagnostics. You will also gain practical knowledge in the computer-based methods used to analyse molecular data and image diagnostics, including programming, biostatistics, machine learning, and handling of sensitive personal data.
The second year begins with a project course that involves a significant amount of independent work, where students conduct and present analyses of previously published data and real patient data. Students also learn about the precision diagnostics and treatments used in clinical routines today, as well as the ongoing research and development in the field. At the end of the program, the student undertakes a Master's project of either 45 credits or 30 credits, in combination with an additional elective course.
Courses within the programme
Semester 1
- Medical Genetics and Cancer - Molecular Mechanisms, 15 credits
- Introduction to programming in R, 7.5 credits
- Biostatistics, 7.5 credits
Semester 2
- Molecular Techniques and Data Analysis in Precision Medicine I, 7.5 credits
- Introduction to machine learning and artificial intelligence in the life sciences, 7.5 credits
- Molecular Techniques and Data Analysis in Precision Medicine II, 15 credits
Semester 3
- Applied Precision Medicine, 15 credits
- Elective course(s), 15 credits, alternatively 45 credits degree project
Semester 4
- Degree project, 30 credits, alternatively 45 credits.
Learning experience
The teaching consists of lectures, laboratories, seminars, group exercises and project work. The programme is directly linked to ongoing research and clinical applications and our teachers are active researchers with deep specialist knowledge in the subjects. Some parts of the programme are compulsory where you are expected to actively participate. You are expected to take responsibility for your studies. Your acquired knowledge will be continuously evaluated during the training through oral and written presentations, seminars and exams.
Part of the teaching is done by specially invited guest lecturers who work in different environments outside the academy, for example, healthcare or industry. Through these lectures, you will not only gain an understanding of how your skills will be used in working life but also opportunities to make valuable contacts before the degree project and with future employers.
A mandatory seminar series with lectures on, among other things, research ethics, presentation techniques and bioethics is given during the first semester.
The programme is given in English and the studies are conducted full-time in Uppsala.
Career
Precision medicine will play an increasingly important role in healthcare in the future. There will be an increased demand for personnel with training in the field and practical experience in analysing the produced data. The need for training in precision medicine and data analysis in the healthcare sector is growing, as more hospitals and politicians realise the benefits of using computer-based diagnostics at an increasing degree.
As a student in the Master's programme in Precision Medicine, you are expected to have a broad job market both nationally and internationally. You receive solid theoretical training coupled with hands-on practical experience in analysing and interpreting large-scale biological data in relation to precision medicine. When you have finished the programme, your skills will make you attractive in a strongly growing job market in health and healthcare, the medical technology industry or for continued research training in academia, both nationally and internationally, at organisations such as:
- universities,
- hospitals,
- pharmaceutical companies,
- The Swedish Medical Agency,
- clinical genetics,
- precision medicine centers.
You will be able to work with, for example:
- Research and Development,
- Patient data analyses,
- Development of disease diagnostics,
- Project management,
- Drug development,
- Management and analysis of Clinical trials.
Career support
During your time as a student, UU Careers offers support and guidance. You have the opportunity to take part in a variety of activities and events that will prepare you for your future career.
Studies in medicine and pharmacy
Watch our video about the Disciplinary Domain of Medicine and Pharmacy.
Register your interest
Keep updated about the application process.
Contact
- For programme-specific information, please contact programme director Åsa Johansson:
- masterprecmed-igp@uu.se
- For general information or questions about the Master´s Programmes at the Faculty of Medicine, please contact:
- medmaster@uu.se
- Book an appointment with a study counsellor at the Faculty.
- For admissions-related or general information, please contact our applicant support team:
- study@uu.se
Students
As a student you will find information about your studies in the student gateway.