His favourite thing about studying at City was the ‘Data Bites’ talks that interface students with data professionals and academics.
What were you doing before you came to study at City?
Prior to starting here at City, I managed a small data analytics team in local government. My academic background is in biology. I have a BSc in Biological Sciences and an MSc in Molecular Biology of Infectious Diseases.
Why did you decide to apply to study at City?
There are several reasons why I applied to City’s Data Science programme.
Firstly, I was looking for a good programme in London that taught predominantly in Python. Secondly, I wanted a technical course that explored concepts such as big data and deep reinforcement learning. Thirdly, I had heard good things regarding the course from a recent Data Science alumnus. Finally, the price point for the course was more reasonable than similar degrees from other London universities.
What has been your favourite module on the course, and what have you enjoyed most about your time at City?
I really enjoyed the Deep Reinforcement Learning module. The concepts are interesting, the labs are enjoyable and the subject is in increasing demand.
What is your favourite thing about studying at City?
The ‘Data Bites’ talks that interface students with data professionals and academics.
What kind of things are you involved in outside of your course?
I play guitar and piano and enjoy producing music. I also enjoy analogue photography and make a habit taking photographs in my free time.
What do you plan to do after you graduate?
I would like to combine my academic experience in biology with data science to become a data scientist working within the healthcare sector.
What would be your top tip for our applicants?
Data science can be applied to an almost endless range of subjects. When starting out, try combining a data science project with a pre-existing interest. This should give you an enjoyable learning experience as you’re working through familiar subject material. It could also generate some interesting ideas for your MSc project!
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