Biostatistics

The study programme not only gives students the opportunity to acquire in-depth knowledge of methods for processing statistical data, but also enhances their understanding of the causes and development of the most common diseases, as well as epidemiological and clinical research.

The programme includes 4 main study course blocks:

• statistics courses on classical and innovative methods for processing statistical data are aimed at the use of methods for processing statistical data and analysing the obtained results in-depth;

• medicine courses on human anatomy, chemical processes, laboratory tests for diagnosis and the aetiology, diagnosis and treatment of the most common diseases, for students to understand and analyse the obtained data and be able to fully interpret the results;

• epidemiology courses focused on developing research skills, as well as on raising awareness of public health guidelines, research methodology and planning;

• clinical trial courses on organising research, drawing up of documentation, legislation, ethical aspects and key principles of data statistical processing.

Career opportunities:

Graduates from the study programme primarily work as biostatisticians in pharmaceutical companies and clinical research organisations (CRO), with planning data collection in clinical trials and observations, statistically processing the obtained data and analysing the results. Biostatisticians also work at universities, scientific institutes, laboratories and other research foundations that collect data and analyse results in health-related fields.

• Bachelor's degree or a second-level professional higher education in the following areas: mathematics and statistics, biology, programming, medicine, medical services, nursing, dentistry, pharmacy, public health
• Diploma
• Diploma supplement/transcript

• Good command of English*

• Letter of motivation

• Eligibility for Master’s studies in the country where Bachelor’s degree was acquired

 * International test score (e.g. IELTS, TOEFL, etc.)