Thriving through transition
By Grace Efe Enato
Before coming to the University, I completed a Bachelor’s degree in Statistics at the University of Benin, Nigeria and an MSc in Mathematical Sciences in African Institute for Mathematical Sciences (AIMS), Ghana. Transitioning between academic environments has been both challenging and rewarding.
During my earlier academic journey, I received rigorous training in mathematical modelling, which sparked a deep interest in applying mathematics to finance. Enrolling in the MSc in Financial Modelling and Optimization at the University of Edinburgh was a natural progression, offering an opportunity to build on this foundation and tackle practical problems using advanced quantitative tools.
One of the most significant adjustments was adapting to the independent learning style at the University of Edinburgh. My earlier experience at AIMS had already introduced me to a very different approach from the traditional lecture-based systems, where learning was centred on interactive problem-solving, group work, and critical thinking. At the University of Edinburgh, this emphasis on exploration and self-direction was taken further, requiring even greater independence.
The transition took me about a month of adjustment, during which I relied heavily on office hours, recommended readings, and interactive question-and-answer sessions during lectures and tutorials. Over time, I came to appreciate how these practices not only deepened my understanding but also strengthened my intellectual maturity and confidence as a learner.
Outside the classroom, adjusting to the colder weather and quieter lifestyle in Edinburgh was very different from what I was used to. However, support from faculty and peers, along with finding community through societies and the church, made the transition much easier.
The Financial Modelling and Optimization curriculum has been a rich mix of theory and application. I particularly enjoyed the coursework, including topics such as stochastic processes, optimization in finance, and financial risk and uncertainty. Additionally, my summer project on TabNet for Financial Data Analysis has been an exciting opportunity to blend mathematical thinking with deep learning models.
To anyone considering studying here, don’t be afraid to step out of your comfort zone. Growth often comes in unfamiliar places. With curiosity, community, and consistency, you will not only adapt but thrive.
