Diala's story
With a perfect balance of focus and fun, Sussex felt like somewhere I could grow academically while enjoying a great quality of life.” diala Abdullqader
Mathematics MSc
“I’ve always been curious about the ‘why’ of things - from puzzles and patterns in data to the way that people think.
I decided to study mathematics, and Sussex stood out because it offered an interdisciplinary mix of theory and practical application. I also liked its reputation for innovative teaching and research at a peaceful, welcoming campus by the sea. Brighton and Hove is such a diverse and creative place, and the mix of seaside views, quirky cafes and cultural events make for an unforgettable student experience. With a perfect balance of focus and fun, Sussex felt like somewhere I could grow academically while enjoying a great quality of life.
Throughout my Masters, I studied modules designed to bridge the gap between theory and practice. I worked on projects rooted in fields like finance and neuroscience, which helped me develop strong analytical skills and approach complex problems from multiple perspectives. I appreciated how collaborative our environment was, whether brainstorming with peers or getting guidance from professors. Challenging coursework and supportive teaching made my experience very rewarding.
Many of my modules aligned with data science, with topics ranging from statistical modelling to machine learning. They were a perfect blend of my love for maths and interest in technology, sparking a deeper interest in how data can solve real-world problems. I particularly enjoyed working on my dissertation, where I used data science and machine learning to predict the progression of Alzheimer’s disease. I wanted to work on something that could contribute to advancements in healthcare, which was complex but incredibly fulfilling.
Focusing on data-driven projects not only deepened my understanding of mathematical concepts, but equipped me with practical experience that I now use in my role as a Data Coach. I guide remote learners in areas such as data analytics, SQL and Python, supporting them as they develop their technical skills. It's rewarding to help others grow and succeed in a field I’m passionate about. In the future, I plan to pursue a PhD in data science and neurodegenerative diseases – contributing to meaningful research that can drive change and improve lives.
I’d advise any prospective students to be open, and not to shy away from projects that seem challenging as that’s where you’ll learn the most. Engage with your professors, ask questions and take advantage of every opportunity to apply what you’re learning to practical problems. More than anything, enjoy the process – academia is a tough but rewarding journey."