Masters student — Sunday Idika

Sunday is currently studying the MSc Data Science & Artificial Intelligence at Edge Hill University, following an undergraduate degree in computer science, which sparked his interest in data

Why did you pursue a postgraduate course?

As an undergraduate studying computer science, I became increasingly fascinated by the potential of data to inform decisions, predict outcomes, and create intelligent systems that adapt and learn over time. I was captivated by how machine learning models could identify patterns invisible to human perception, and how artificial intelligence (AI) could personalise learning or support early diagnosis in medicine.

Edge Hill's emphasis on employability and real-world impact resonated with my career aspirations. The university's strong industry links and focus on applied projects gave me the confidence that I would graduate with both the knowledge and practical experience needed to thrive in today's data-driven world.

What does the course involve?

Throughout my degree, I've learned how to extract insights from complex datasets and build predictive models using machine learning techniques. I've gained hands-on experience with tools such as Python, scikit-learn, TensorFlow, and PyTorch, applying them in coursework and real-world projects.

More than just implementing algorithms, I've developed the ability to critically evaluate model performance, select appropriate techniques, and address issues such as overfitting, interpretability, and data bias.

What has been the highlight of the course?

The most memorable moment of my degree has been showcasing the initial results of my project, 'Enhancing Student Engagement Through AI-Driven Adaptive Learning and Gamification'. After months of research, development, and iteration, it was incredibly rewarding to see the system I built not only function as intended but also receive positive feedback from both academic staff and peers.

That showcase was a turning point as it validated the practical relevance of my work and highlighted AI's potential to meaningfully impact education. This moment reinforced why I chose this field, not just to learn and build, but to solve real problems and contribute to innovation with social value.

What is the university like?

The best thing about Edge Hill University is the strong sense of academic support and community. From the start of my postgraduate journey, I was struck by how approachable and committed the faculty staff were. The campus itself creates an atmosphere that is both inspiring and conducive to learning.

Workshops, career support, and industry-engaged projects have helped me build the skills and confidence to transition from study into real-world practice. My lecturers have consistently provided timely feedback, personalised guidance, and encouragement, which have helped me grow in confidence and capability.

Student support services, such as careers advice, mental health resources, and skills workshops, have ensured I felt supported holistically. As an international student, I appreciated the warm, inclusive community and the structured support that helped me adjust to life and study in the UK.

Edge Hill doesn't just provide a place to learn, it fosters an environment where students can thrive, explore their interests, and feel valued. That level of support has made a significant difference in both my academic success and personal journey.

What do you hope to do when you graduate?

I plan to pursue a PhD with a focus on privacy-preserving AI, particularly in the area of federated learning for healthcare analytics. My goal is to contribute to research that balances innovation with responsibility, ensuring that sensitive data can be used to drive progress without compromising individual privacy or ethics.

In the longer term, I aim to work at the intersection of research and real-world application, whether in academia, industry, or a research lab. I want to help build intelligent systems that are not only technically advanced, but also socially responsible and impactful.

What tips would you give to anyone considering this course? 

My advice is to approach the course with curiosity, commitment, and a willingness to apply theory to practice. Take full advantage of the university's supportive environment, and don't hesitate to ask questions, seek guidance from lecturers, or collaborate with fellow students.

Focus on building a strong portfolio of projects. Whether through coursework, your dissertation, or independent research, these practical experiences are invaluable for both learning and career development. The course offers you the freedom to explore real-world problems, so use that freedom wisely to explore areas you're passionate about.

Find out more

• Take a look at the MSc Data Science & Artificial Intelligence at Edge Hill University.
• Read all about the information technology sector.