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Master of Science
On Campus
Accomodation
KTH Royal Institute of Technology
Stockholm
Sweden

Biostatistics and Data Science

About

The Master of Science in Biostatistics and Data Science at KTH Royal Institute of Technology is a two-year, full-time program designed for students who wish to apply advanced statistical and computational techniques to solve problems in the life sciences, healthcare, and public health. The program combines biostatistics, data science, and machine learning to enable students to analyze and interpret complex biological data. Key topics include statistical modeling, bioinformatics, health data analysis, and the use of big data technologies to inform decision-making in medical and scientific research.

Graduates of this program are well-prepared for careers in health data analysis, biostatistical modeling, and public health research. KTH Royal Institute of Technology’s strong focus on interdisciplinary collaboration and hands-on experience with real-world datasets ensures that students are equipped with the skills to tackle challenges in health and life sciences using data-driven insights.

Key Facts

Program Details
Degree: Master of Science
Location: Stockholm, Sweden
Academic Information
Area of study: Data Science & Big Data
Study Format
Study Type: On Campus
Format: Full-time
Language
-

Key Facts

  • Program Title: Biostatistics and Data Science
  • Degree Type: Master of Science
  • Duration: 2 years
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 15 January 2027
  • Location: KTH Royal Institute of Technology, Sweden
  • Field of Study: Data Science & Big Data
  • Language of Instruction: English

Program Structure

Semester 1 – Foundations of Biostatistics and Data Science
• Introduction to Biostatistics and Statistical Inference
• Data Analysis for Health Sciences
• Machine Learning and Predictive Modeling
• Research Methods in Data Science

Semester 2 – Advanced Biostatistics and Data Science
• Computational Biology and Bioinformatics
• Advanced Biostatistical Methods
• Big Data and Data Management for Health
• Elective Modules in Biostatistics

Semester 3 – Specialized Biostatistics and Data Science
• Bioinformatics and Genomic Data Analysis
• Clinical Data Analysis and Health Applications
• Data Science for Personalized Medicine
• Fieldwork/Research Project in Biostatistics

Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Topics in Biostatistics and Data Science
• Final Presentation & Research Evaluation

Career Opportunities

Graduates of the Master of Science in Biostatistics and Data Science program are highly sought after in health data analysis, public health research, and biostatistical consulting. They can take on roles as biostatistician, data scientist, health researcher, and public health analyst. The program’s focus on applying statistical methods to biological and healthcare data ensures strong career prospects in public health organizations, research institutions, and healthcare analytics firms.

Why Choose This Program

The Master of Science in Biostatistics and Data Science program provides students with the statistical skills necessary to analyze large sets of biological and healthcare data. Students learn advanced statistical techniques, data mining, and machine learning to address health-related issues. The program prepares graduates to work in interdisciplinary teams to solve problems in public health, clinical research, and healthcare management.

Contact Information

For further information, please contact the admissions office at:
Phone: +46 8 790 60 00
Email: info@kth.se
Address: KTH Royal Institute of Technology, Brinellvägen 8, 114 28 Stockholm, Sweden

Duration
-
Tuition fee
$19,141.00/year
Location
Stockholm, Sweden
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