M.Sc.Biostatistics
| Study location | Latvia, Riga |
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| Academic field | Biology and biochemistry 13.1 (ISCED 421) |
| Type | Master, full-time |
| Nominal duration | 2 or 2.5 years (120 ECTS) |
| Study language | English |
| Awards | M.Sc. (Master's Degree of Natural Sciences in Biology) |
| Tuition fee | €3,500 per year |
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| Application fee | €100 one-time |
| Deposit | €300 one-time |
| Registration fee | €400 one-time Includes: You can receive DISCOUNT and pay only 250.00 EUR, for more information visit our FREE webinar “Education in Europe”. |
| Entry qualification | Undergraduate diploma (or higher) Main requirements 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; Please provide the secondary school leaving certificate in the original language. If the diploma is not issued in English, a certified translation should be provided. The document must be legalised/apostilled. You must take the original entry qualification documents along with you when you finally go to the university. It is necessary to have notarized certified documents translated, legalized and apostilled. |
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| Territory requirements | Applications are NOT accepted from the following territories (based on citizenship): Bangladesh, Iraq, Pakistan, Yemen. |
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| Language requirements | English One of next variants, if you have no any of this certificates you can pass University or Baltic Center Exams: IELTS 6.5 Pearson PTE General 70 RSU requires both the Certificate and the Performance Report ECL language test |
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| Other requirements | At least 2 reference(s) must be provided. A motivation letter must be added to your application. Certificate of English proficiency; |
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Overview
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’s students have access to well-equipped auditoriums and modern computer classrooms with the latest logistical resources, IT equipment, statistical software (R, SAS, IBM SPSS Statistics, STATA), audio and video equipment, interactive whiteboards, as well as a library with extensive research databases from around the world.
The study programme will be implemented by combining learning theoretical knowledge and developing skills, both with traditional lectures and interactive classes, as well as by studying independently. Modern learning and teaching methods, such as a simulation and project-based or problem-based learning approaches will be used.
The programme was developed in close cooperation with the University of Latvia, the University of Tartu, Uppsala University and the University of Gothenburg, involving the teaching staff from the aforementioned universities in the implementation of the courses. In addition, visiting lecturers from pharmaceutical companies from Latvia and abroad will be involved for integrating specialist knowledge.
Programme structure
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.
