Master's Programme in Statistics and Data Science
Uppsala UniversityVaried, Sweden
Fee for international students
- Intakes
- Not published
- Duration
- 2 years
Programme facts
- Level
- Master's
- Duration
- 2 years
- Language of teaching
- English
- Study mode
- full time
- Credits
- 120 ECTS
- Intakes
- Not published
About this programme
The ability to understand, interpret and analyse data is central for many qualified jobs in the private and public sectors, organisations and within research. The Master's programme in Statistics and Data Science gives a solid foundation in statistical theory and a broad toolbox of methods for working with data in many different application areas. A Master's degree in Statistics not only opens up a wide array of opportunities in working life but also prepares you for a research career. Expand the information below to show details on entry requirements, programme-specific documents, selection criteria and tuition fees. A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. Also required is 90 credits in statistics, or 60 credits in statistics and 30 credits in mathematics and/or computer science 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. 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. In addition to the general supporting documents, you also need to submit a programme-specific application summary sheet . Check the application guide for information on how to apply and what other supporting documents you need to submit.
Entry requirements
This university does not publish entry requirements in our data. A counsellor can confirm them for you.
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