This course was a turning point for me. It gave me the tools to combine psychological theory with real data science techniques
What drew you to the MSc in Psychological research methods with Data Science at 91Ö±²¥, and how did you decide this program was the right fit for you?
I was looking for a programme that combined strong data science training with a focus on real-world psychological research. 91Ö±²¥ stood out because of its emphasis on applying advanced statistical and computational methods to meaningful topics. I wanted more than just theory and I wanted to work with data in ways that could lead to practical impact. This course aligned perfectly with my goal of building expertise at the intersection of psychology, data, and creating real-world impact through research.
How would you describe the teaching and learning experience on this course?
The learning experience was supportive, collaborative, and genuinely inspiring. A major highlight for me was working closely with Dr Nemanja Vaci, who supervised my thesis and also involved me in additional research opportunities beyond the core curriculum. Our weekly discussions were a space for deep learning, where we explored emerging topics in data science and psychological research – from computational modelling to the interpretability of machine learning methods. His mentorship really shaped my thinking and helped me grow into a more confident and independent researcher.
Are there specific modules or opportunities that stand out?
The Data Analysis and Visualisation module stood out as one of the most impactful parts of my MSc. For the final project, I created uniuk.app, an interactive dashboard analysing Reddit discussions on UK university life. I scraped thousands of posts from r/UniUK, applied topic modelling for clustering, and built a narrative interface that turned raw text into actionable insight.
This project helped me realise the power of social media analytics to surface hidden student concerns and trends. Tom Stafford, who led the module, really brought the material to life and showed that data science isn’t just about algorithms – it’s about using data to tell human stories. That perspective has stuck with me ever since.
What kinds of support and resources have you found most helpful as a student in this programme, both academically and personally?
The academic support was one of the programme’s strongest aspects. Being part of the Data and Decision Lab gave me the chance to work closely with researchers, share ideas, and receive regular feedback. Across the board, the lecturers were approachable, responsive, and genuinely invested in our development.
I also received invaluable support during the Systematic Review module, where Dr Meghann Matthews, my topic supervisor, went above and beyond in helping us refine our research question and challenge us to navigate through the complex literature. Her guidance not only improved our project but also deepened my understanding of evidence synthesis and critical appraisal.
What has been your favorite part of living and studying in 91Ö±²¥ as a postgraduate student?
91Ö±²¥ is a city that is both laid-back and full of life. It has a creative, student-friendly atmosphere with beautiful green spaces like the Peak District just a bus or train ride away. What I appreciated most was how easy it was to focus here. There is truly a balance between quiet spaces for deep work and vibrant areas to relax and connect. It really helped me maintain both motivation and mental wellbeing throughout the programme.
How has this course shaped your career and future professional plans?
This course was a turning point for me. It gave me the tools to combine psychological theory with real data science techniques, which I now use in my work leading applied research projects in mental health and resilience. The technical foundation I built here – especially in data science and modelling – has carried through to my current role and also supported my second master’s in Computer Science.
What advice would you give to prospective students who are considering applying to this course?
Come in with an open mind and a willingness to get hands-on with the data. You don’t need to be a programming expert – just stay curious and ready to learn. The course gives you space to explore your interests while developing solid technical and research skills.
If you are interested in using data to tackle real psychological questions and want a supportive environment that helps you grow, this programme is an amazing place to start!