Lampros

Why did you choose to study your course at Surrey?

I chose to study the MSc Artificial Intelligence at the University of Surrey because I wanted to deepen my knowledge of artificial intelligence and develop a stronger understanding of the technologies behind modern AI systems. I was particularly interested in expanding my knowledge of computer vision, machine learning, deep learning and natural language processing. 

Surrey particularly appealed to me because of its strong research environment and expertise in areas such as computer vision and machine learning, which closely matched my interests and career goals. 

I also saw the MSc as an opportunity to work on challenging research problems, learn from academics working at the forefront of AI, such as Prof. Song, and develop the skills needed to pursue a career combining AI engineering and research.

"The course has allowed me to build knowledge across areas including machine learning, deep learning, computer vision, natural language processing and modern AI architectures."

What are the best things about Surrey and your course?

One of the best things about Surrey has been the combination of academic learning and opportunities to explore current developments in artificial intelligence.

The course has allowed me to build knowledge across areas including machine learning, deep learning, computer vision, natural language processing and modern AI architectures. I particularly enjoyed the opportunity to work on a research-focused dissertation, where I could investigate a challenging problem involving vision-language models and generative AI.

Beyond the course itself, being part of the University of Surrey has given me access to a diverse academic community and an environment where I could develop both my technical abilities and my confidence as a researcher.

What are the best things about life here as a postgraduate student?

Life as a postgraduate student at Surrey has given me a good balance between independent study, academic development and everyday university life.

One of the things I have appreciated most is the opportunity to manage my own time and take greater responsibility for my learning, which is very different from undergraduate study.

The university environment also brings together students from many different backgrounds, making it easy to meet people with different experiences, perspectives and interests.

I have also enjoyed living in Guildford and its student-friendly environment, particularly its green spaces and peaceful surroundings. The area around the university offers plenty of opportunities to enjoy nature and take a break from studying. I have found this balance between university life and the outdoors to be one of the most enjoyable parts of living in Guildford.

 "Artificial intelligence develops extremely quickly, so learning how to read research papers, experiment independently and keep up with new developments is just as important as understanding the core concepts."

What are your career plans?

My goal is to build a career as an AI/ML Engineer and eventually progress towards a role as an AI Scientist or Research Engineer. I want to work on technically challenging problems involving machine learning, computer vision, generative AI and vision-language models, while continuing to develop both my engineering and research skills.

My previous experience as a software engineer has given me a strong foundation in building and working with production systems, and my MSc has helped me develop a deeper understanding of modern AI research.

In the long term, I hope to contribute to the development of new AI methods while also translating research ideas into useful and reliable real-world applications.

What advice do you have for students thinking of doing this course?

My advice would be to come to the course with curiosity and a willingness to go beyond the material covered in lectures. Artificial intelligence develops extremely quickly, so learning how to read research papers, experiment independently and keep up with new developments is just as important as understanding the core concepts.

I would also recommend starting the dissertation early and choosing a topic that genuinely interests you. The research process can be challenging but is one of the most rewarding parts of the MSc. 

Finally, make use of the people around you, including lecturers, supervisors and fellow students, because discussing ideas with others can make a significant difference to both your academic experience and your personal development.