Mathematics MSc Programmes

Our Students

Information about the typical academic backgrounds of our MSc students and testimonials from former students.

Watch some of our Computational Mathematical Finance (CMF) and Financial Modelling and Optimisation (FMO) graduates reflecting on their experiences of studying and living in Edinburgh - and what the future holds after graduation.

Student Stories

Also in this section you can read about some of our alumni, who reflect on their MSc experience, career choices and current work challenges.

Dina Kovacevic CMF 2016

 

The MSc in Computational Mathematical Finance (CMF) is a great choice for candidates with a scientific background, who didn’t necessarily have prior academic exposure to finance, but are intrigued by it and would like to apply their knowledge within the financial industry. For me, this degree was a perfect link connecting my previous theoretical mathematical education with quantitative finance. In addition to the University of Edinburgh’s world-class reputation and its excellent links with industry, one of the reasons I choose this programme is also the city itself. Edinburgh is so beautiful, you won’t want your year here to end.

With students from all over the world with different backgrounds, a great thing is that the courses start off with making sure everyone has the fundamental understanding of the core theories we will expand upon later. This ensures that everyone is well prepared for the programme’s rigorous coursework, as in the 1st semester we are already covering challenging topics in the domain of Stochastic calculus and Computational quantitative modelling. With a wide selection of elective courses and research projects, the 2nd semester allows the students to further tailor their skill set within an area that’s of particular interest to them.

The programme concludes with a 3 month research summer project, which can be carried out as either an academic or an industrial project. Through the academic project students work closely with the University’s expert mentors on a range of current research topics from the field of Quantitative Finance, while the industrial topic offers the student a chance to work within a world class leader in finance during the summer. I was fortunate enough to get an industrial placement and was assigned an actual project the company was working on, which provided me with an invaluable opportunity to get real work experience and learn about finance from within.

The programme is intensive, but the teaching staff is knowledgeable, welcoming and always ready to help. The School has very strong connections with the financial industry, offering seminars and talks throughout the year given by professionals from various industrial partners, allowing the students to get familiar with business practice and current developments from first-hand experience.

My year here at the University of Edinburgh has been incredible. It is truly a world class academic environment where you can fully develop your potential and get support each step of the way. The CMF programme is intense and at times challenging, but this makes it extremely rewarding and ensures you learn as much as possible and feel well prepared to take on any challenge in your future financial or academic career.

Kristinn Hrafn Porarinsson CMF 2016

Kristinn Hrafn Porarinsson CMF 2016
 I decided to come and study in Edinburgh after visiting the beautiful city a few years ago. Knowing the reputation of the University of Edinburgh, I chose the Computational Mathematical Finance MSc program. I studied mathematics and computer science for my undergraduate degree, and I chose the MSc program as I thought it was a practical, as well as a theoretical, program that built on my background and my interest in finance. I am very happy with my decision.

The last year has been very good, although busy at times, but I have learned many things and enhanced my skills. The course is mathematical and focuses on stochastic analysis and its application in finance which is a very interesting topic. Apart from that, we could take interesting courses on topics such as programming financial models, optimization methods in finance and risk management.

The program is also well linked to the financial industry and in one of the courses we had several lectures from people in the industry. We also had the opportunity to write our thesis in collaboration with some companies and I ended up doing my dissertation in collaboration with Lloyds Banking Group. 

Before the year was over, I had landed a job as a Quantitative Analyst with Aberdeen Asset Management in Edinburgh. I believe that the program was a huge factor in that and prepared me really well for working in the financial industry.