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The Master's Programme in Biostatistics and Data Science offers a unique
combination of biostatistics and data science. Students with
backgrounds in mathematics, statistics, computer science, or related
disciplines, are provided with the skills to solve problems in biology,
medicine, and public health. The programme is offered jointly by
Karolinska Institutet, KTH Royal Institute of Technology, and Stockholm
University.
You will learn the key skills
required to work as a biostatistician or data scientist. You will get
training in statistics, computational science, and programming, along
with the theoretical and practical education to apply these skills to
challenges in biology, medicine, and public health. In addition, you
will learn the analytic techniques used in data science to prepare you
for the data-driven challenges of modern medical research and a career
as a data scientist. During your two years in Stockholm, you will study a
tailored selection of courses from three universities with prominent
research in their respective fields: Karolinska Institutet, KTH Royal
Institute of Technology, and Stockholm University.
The programme
is delivered by a team of teachers who are internationally recognised
for their research in developing new biostatistics and data science
methods, and for their collaborative research with scientists from other
disciplines to improve health outcomes.
The combination of biostatistics and data science gives graduates an
excellent profile for challenging and rewarding careers in industry (for
example, biomedical, healthcare, insurance, and pharmaceutical
sectors), government (for example, public health agencies) and academia.
Program overview
Main Subject
Biological Sciences
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Master's Programme in Biostatistics and Data Science offers a unique
combination of biostatistics and data science. Students with
backgrounds in mathematics, statistics, computer science, or related
disciplines, are provided with the skills to solve problems in biology,
medicine, and public health. The programme is offered jointly by
Karolinska Institutet, KTH Royal Institute of Technology, and Stockholm
University.
You will learn the key skills
required to work as a biostatistician or data scientist. You will get
training in statistics, computational science, and programming, along
with the theoretical and practical education to apply these skills to
challenges in biology, medicine, and public health. In addition, you
will learn the analytic techniques used in data science to prepare you
for the data-driven challenges of modern medical research and a career
as a data scientist. During your two years in Stockholm, you will study a
tailored selection of courses from three universities with prominent
research in their respective fields: Karolinska Institutet, KTH Royal
Institute of Technology, and Stockholm University.
The programme
is delivered by a team of teachers who are internationally recognised
for their research in developing new biostatistics and data science
methods, and for their collaborative research with scientists from other
disciplines to improve health outcomes.
The combination of biostatistics and data science gives graduates an
excellent profile for challenging and rewarding careers in industry (for
example, biomedical, healthcare, insurance, and pharmaceutical
sectors), government (for example, public health agencies) and academia.
Admission Requirements
90+
3+
6.5+
62+
180+
2 Years
Aug
Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
International
360,000 SEK
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master's Programme in Biostatistics and Data Science
Campus Solna (HQ), Stockholm, Sweden
# 26QS Subject Rankings
24 monthsProgram duration
360,000 SEKTuition Fee/year
Biological SciencesMain Subject Area
Program overview
Main Subject
Biological Sciences
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Master's Programme in Biostatistics and Data Science offers a unique combination of biostatistics and data science. Students with backgrounds in mathematics, statistics, computer science, or related disciplines, are provided with the skills to solve problems in biology, medicine, and public health. The programme is offered jointly by Karolinska Institutet, KTH Royal Institute of Technology, and Stockholm University.
You will learn the key skills required to work as a biostatistician or data scientist. You will get training in statistics, computational science, and programming, along with the theoretical and practical education to apply these skills to challenges in biology, medicine, and public health. In addition, you will learn the analytic techniques used in data science to prepare you for the data-driven challenges of modern medical research and a career as a data scientist. During your two years in Stockholm, you will study a tailored selection of courses from three universities with prominent research in their respective fields: Karolinska Institutet, KTH Royal Institute of Technology, and Stockholm University.
The programme is delivered by a team of teachers who are internationally recognised for their research in developing new biostatistics and data science methods, and for their collaborative research with scientists from other disciplines to improve health outcomes.
The combination of biostatistics and data science gives graduates an excellent profile for challenging and rewarding careers in industry (for example, biomedical, healthcare, insurance, and pharmaceutical sectors), government (for example, public health agencies) and academia.
Program overview
Main Subject
Biological Sciences
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Master's Programme in Biostatistics and Data Science offers a unique combination of biostatistics and data science. Students with backgrounds in mathematics, statistics, computer science, or related disciplines, are provided with the skills to solve problems in biology, medicine, and public health. The programme is offered jointly by Karolinska Institutet, KTH Royal Institute of Technology, and Stockholm University.
You will learn the key skills required to work as a biostatistician or data scientist. You will get training in statistics, computational science, and programming, along with the theoretical and practical education to apply these skills to challenges in biology, medicine, and public health. In addition, you will learn the analytic techniques used in data science to prepare you for the data-driven challenges of modern medical research and a career as a data scientist. During your two years in Stockholm, you will study a tailored selection of courses from three universities with prominent research in their respective fields: Karolinska Institutet, KTH Royal Institute of Technology, and Stockholm University.
The programme is delivered by a team of teachers who are internationally recognised for their research in developing new biostatistics and data science methods, and for their collaborative research with scientists from other disciplines to improve health outcomes.
The combination of biostatistics and data science gives graduates an excellent profile for challenging and rewarding careers in industry (for example, biomedical, healthcare, insurance, and pharmaceutical sectors), government (for example, public health agencies) and academia.
Admission Requirements
Tuition fees
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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