From Medicine to Data Science: a student of the master's program talked about his path to analytics

At the Open Day, student Mikhail Meshkov spoke about his experience of studying at the program.

Mikhail Meshkov

Международная лаборатория прикладного сетевого анализа: Стажер-исследователь

Tell us about yourself. What did you do before you enrolled?

I was a doctor by primary education, I worked in emergency medicine and telemedicine. I became interested in IT in the field of telemedicine: participated in product development, drafting technical specifications. Gradually, I moved into analytics, and then into medical technology, where I was able to combine medical expertise with data analysis.

Why did you choose the program "Data Analytics and Social Statistics" (DASS)?

I lacked fundamental knowledge in data analysis and machine learning techniques. After studying various programs, I chose this program because of its deep theoretical base - they teach not just tools, but mathematical basics. I was particularly attracted by applied statistics and network analysis, which is not available in other graduate programs.

What are you studying in the program?

The program provides three key areas: theory (knowledge of probability theory, linear algebra, statistics), tools (Python, R) and, most importantly, application methods. The most valuable thing for me was bibliometric network analysis, which is a rare field, and the International Laboratory for Applied Network Research is a leader in this field.

How do you handle the online format?

Online gives you flexibility: you can watch lectures on the record. But the responsibility for learning is entirely yours, so it's important to manage your time.

What would you recommend to future students?

Learn the basics of Python and R in advance — it will be easier this way in the first module. In parallel with the main program, you should independently deepen your knowledge in the field of mathematics and data analysis. And most importantly, don't be afraid to interact with teachers and classmates, it helps a lot in your studies.

Does the program help with academic development?

Yes, and very actively. You find yourself in an environment where serious academic research is being conducted. Teachers and colleagues motivate you to develop in science, publish and participate in conferences.

Full recording of the Open Day