What got me interested was 
looking for job interviews,
or trending articles online,
 I heard these buzzwords
like machine learning,
 deep learning.
I knew it'd be technically
challenging and it would
definitely help my career prospects
in the future.
Why Bath? With the data science,
it's a complement
of both the maths and computer science
and on the university league tables,
they were ranked pretty high for both.
When I explored the data science
aspects, there were
three main parts that caught my eye:
there were the Bayesian roots,
the neural networks and the
reinforcement learning.
and luckily at Bath they offered
optional modules in all three.
The support given here at the
University was great.
I could easily go to my 
lecturers offices and they were
happy to go through any concepts, go
through the whiteboard or even portions
of my actual work and iron out
the problems.
For my dissertation, I decided
to go into automated stock
trading.
This combined two areas of
machine learning, so it was the
reinforcement learning side where we
have to get the agent to make decisions
for us and a deep neural network,
effectively trying to build nonlinear
decision-making processes.
So having studied the data science
course here, it's allowed me to get one foot
in the door in my next steps in the PhD
programme, where I get to combine both
maths and machine learning.
Coming here and
seeing what data science is like, it
definitely opened my eyes to more than
just the financial background that I
have and I'm very keen to work on
imaging problems, the concepts of
self-driving cars, there's a very data
science issue and it'll be a very cool
problem to work on, and equipping myself
with the data science degree here
definitely helps me with that.
