Naveesha Jain
Naveesha Jain is in her 2nd year of studying Computer Science and Artificial Intelligence.
Why did you choose to study your programme at Queen Mary and why Queen Mary?
I chose to study Computer Science and Artificial Intelligence because I’ve always been fascinated by how machines can simulate aspects of human thinking. I wasn’t just interested in learning how to code but also wanted to understand how algorithms make decisions, how neural networks learn from data and how intelligent systems are designed from mathematical foundations. AI, in particular, interests me because it sits at the intersection of logic, mathematics and creativity. I chose Queen Mary University of London because of the strength of its School of Electronic Engineering and Computer Science and its research-led approach to teaching. The programme offers a strong theoretical foundation while still being practical and industry-relevant, which was very important to me. Being based in London was also a major factor, it provides exposure to industry, networking opportunities and access to a global professional environment. At the same time, Queen Mary’s diverse and supportive atmosphere made it feel like a place where I could grow
academically and personally.
What do you enjoy most about your course?
What I enjoy most about my course is how much it has changed the way I think. It’s not just about learning content but also about learning how to approach problems when you don’t immediately know the answer. There are moments when something doesn’t make sense at all and instead of giving up, you sit with it, try again, and eventually it clicks. That feeling is honestly one of the most rewarding parts.
I also enjoy how creative computer science and AI can be. A lot of people think it’s just logic and code, but there’s actually so much room for experimentation and different ways of solving the same problem. I like that balance between structure and creativity.
Most importantly, I enjoy the sense of growth. When I look back at what I found difficult at the beginning and compare it to what I can understand or build now, it’s a reminder that progress comes from consistency. The course challenges me, but in a way that makes me more confident over time.
Which modules do you most enjoy and were there any academics that have a strong influence on shaping your time and studies here?
I have particularly enjoyed Data Structures and Algorithms, Introduction to Robotics and Operating Systems. Data Structures and Algorithms has been challenging but really rewarding, as it changed the way I approach problem solving and made me think more
carefully about efficiency and structure. I enjoyed Introduction to Robotics because it showed how computing concepts apply to real world systems, which made the subject feel more practical and engaging. Operating Systems helped me understand what happens behind the scenes when programs run, giving me a deeper insight into how computers actually work.
The academics within the School of Electronic Engineering and Computer Science have had a strong influence on my experience. Their teaching style encourages independent thinking rather than just memorising content. I appreciate that they challenge us while still being supportive, which has helped me become more resilient and confident in my studies. Being taught by people who are clearly passionate about their subject makes a big difference in staying motivated.
Are you a member of any societies or attend any industry events during your time at Queen Mary? If so which and what did you gain from them?
Alongside my studies, I am actively involved in several societies at Queen Mary. I serve as the IT Director at 180 Degrees Consulting QMUL (2026–27), where I am responsible for managing technical systems and supporting digital strategy within the organisation. This role has strengthened my leadership, problem solving, and technical implementation skills in a real organisational setting.
I am also a committee member in three other societies, where I have been involved in coordinating events, managing communications and contributing to operational planning. Being part of committees has helped me develop confidence, teamwork and time management skills while balancing academic responsibilities.
In addition to society involvement, I have attended industry events and networking sessions, which have given me insight into career pathways within technology and consulting. Overall, these experiences have helped me grow beyond academics and develop both professional and interpersonal skills that complement my degree.
What kind of careers/employability support do you get during your studies?
Queen Mary provides strong careers support through CV workshops, mock interviews, career fairs and employer networking events. The university also offers one-to-one career guidance sessions, which help students refine their goals and prepare for applications. There are also internship opportunities and employer presentations throughout the year.
Being located in London is a significant advantage, as it provides access to major tech companies, start-ups, financial institutions, and research organisations. The connection between academia and industry makes it easier to see a clear pathway from university study to professional employment.
What are you hoping to do after graduation?
After graduation, I hope to pursue a career in artificial intelligence or data science. I am particularly interested in working on technologies that are impactful and meaningful , systems that solve real world problems or improve decision-making through data. I am also open to further postgraduate study, especially in advanced machine learning or AI research, as I am genuinely interested in deepening my theoretical understanding. Long term, I want to work in a field where I am constantly learning, challenged intellectually and contributing to innovation.
What's one piece of advice you'd offer to someone considering studying Computer Science at Queen Mary?
My advice would be to stay curious and embrace the challenge. This programme is not easy and that’s exactly why it’s worth it. Computer Science and AI is intellectually demanding and there will be moments where concepts feel overwhelming. You will encounter difficult concepts, moments of confusion and times where things don’t work the first time. But that process of struggling, thinking deeply and gradually understanding is what builds real skill and confidence.
Stay consistent, ask questions and don’t be afraid to step outside your comfort zone. Take advantage of the resources available, attend events and engage with your lecturers. If you are genuinely curious and willing to put in the effort, this programme will push you to grow in ways you might not expect - both academically and personally.