"My bachelors in economics, which I also studied at Essex, gave me a good overview of the financial markets and their place in the economy as a whole.
When deciding what to do next, I found many of the job adverts which appealed to me required a combination of financial knowledge, econometrics, maths,
and programming skills.
CCFEA's MSc Computational Finance is one of the few courses in the country which allows one to study all these areas in depth. It allows students
to develop technical abilities which they can immediately apply at work, such as MATLAB programming, Value-at-Risk methods, and heuristic optimisation.
I particularly enjoyed studying such a broad range of subjects and the knowledge gained from this allows me to tackle problems in finance from
a number of different angles. A regular series of seminars by external speakers means students can also become familiar with current industry practice,
an advantage in job interviews. The course is very empirical and this has made me familiar with handling data from a number of markets.
Students are also well prepared to work with this data as most of the modules include some programming. The lecturers make an effort to keep
the material very current and in all of my modules we were studying work right at the research frontier. These strengths are particularly valued by
potential employers, making the course highly marketable.
As a specialised department, CCFEA has a low student to staff ratio, which means members of staff get to know the students well.
This was particularly helpful when we came to do our Master's dissertations. The students come from a wide range of academic backgrounds
which allowed us to appreciate the strengths and limits of different ways of thinking. I have enjoyed my time at CCFEA very much,
have learnt a great deal, and can thoroughly recommend the MSc Computational Finance programme."