Studying Epidemiology and Biomedical Data Science as a second-year student

Time flies! I cannot believe that I have finished my first-year studies at the University of Oulu and become a “senior student”! When I started this master’s in 2021, I did not have much understanding towards it. But now, I gradually figured out why our programme is structured in such a way. After one year of specializing in the master’s programme of Epidemiology and Biomedical Data Science, I have quite a bit to share!
Tables and Chairs

My understanding towards “Epidemiology” from our programme

As an important branch of medicine, epidemiology studies how diseases are spread, caused, distributed, and prevented. What we do in this master’s programme is investigate the causes and transmissions of diseases by doing research and producing the answers. Through this curriculum, we are gradually becoming professionals who can research the patterns, frequency, and both causes and effects of diseases in the human population.

Epidemiology is not only linked with infectious diseases but there is a broader range of studies one can choose from: communicable and non-communicable diseases, mental health problems, genetics, environmental exposures and so on.

So basically, everyone in my class has chosen their preferred domain according to their interests and backgrounds! That is to say, we have great opportunities to contact experts from different disciplines, for example, some are medical doctors, statisticians, data analysts, public health sector administrators etc.

Dealing with real-world data

This research-oriented programme is also focused both on Epidemiology and Biomedical Data Science with many possibilities to work on large databases. While drafting the thesis, you may be in charge of producing, extracting, analyzing, and/or visualizing data, as well as creating the necessary tools.

More than one of these subtasks will be required for most of your thesis completion. You can choose to make sense of biomedical data or develop the tools, or do both as you learn more about and expand your skills in the field of data science. It is noticeably clear that this programme is data-driven, and our thesis relies on an unbiased and systematic approach to the analysis and interpretation of data.  

Epidemiology and Biomedical Data Science family is waiting for you

Nowadays, epidemiological studies and the ability to analyze data are showing its significance, especially during Covid-19. Public health policy is mostly based on epidemiology and data. Epidemiology and data analytics are fundamentally problem-solving science. By intervening and implementing prevention measures, it also saves millions of lives.

Therefore, you should not miss this Epidemiology and Biomedical Data Science master's programme if you are interested in medical research and are dedicated to making the world healthier! Join our Epidemiology and Biomedical Data Science family if your background is public health, statistics, medicine, biology, genetics etc. 

About the author

Yipaerguli Mohetaer, from China, is a master’s student in Epidemiology and Biomedical Data Science. She is a snow lover but loves sunshine as well, so she is doing good in Finland regardless of the season.