Awwau Anidu
Why did you choose to study your programme at Queen Mary and why Queen Mary?
I chose to study Data Science at Queen Mary because of its strong academic reputation in computer science and data driven subjects, as well as its emphasis on both theory and practical application. QMUL stood out to me for its research led teaching, diverse student community, and close links with industry. Being in London was also a major factor, as it provides access to internships, networking opportunities, and real-world exposure while studying.
What is your favourite thing about Queen Mary?
My favourite thing about Queen Mary is the diversity and inclusivity of the community. You work with people from a wide range of backgrounds, which brings different perspectives into group work and discussions. I also appreciate the balance between academic rigour and student support; lecturers and staff are approachable and genuinely invested in helping students succeed.
Which modules do you most enjoy and are there any academics that have a strong influence on shaping your time and studies here?
One of the modules I’ve enjoyed most is Principles of Machine Learning. I found it particularly engaging because it combines theoretical foundations with practical implementation, helping me understand how and why machine learning models work. The module strengthened my problem-solving skills and deepened my interest in data driven approaches, especially through hands on coursework.
The teaching team, particularly Jesús Requena, played an important role in shaping my experience by explaining complex concepts clearly and encouraging analytical thinking.
What kind of careers/employability support do you get during your studies?
Queen Mary offers excellent careers support through QM Careers, which helps students find work experience and graduate roles, as well as providing support for those interested in starting or growing a business. The staff are very friendly and supportive, and there is dedicated guidance for international students. I have attended various events including CV workshops, interview preparation, careers fairs and employer talks.
In addition, EECS Careers and Enterprise provides careers support specifically for EECS students, offering tailored advice and industry relevant opportunities. I get periodic emails from them that focus on providing any kind of career advice and even internship opportunities.
What do you hope to do after graduation?
After graduation, I hope to pursue a career in data science or a related role where I can use the knowledge I have gained from QMUL to work on real world challenges. I’m particularly interested in roles that allow continuous learning and professional growth, and potentially further study or specialisation in the future.
What's one piece of advice you'd offer to someone considering studying Artificial Intelligence at Queen Mary?
My advice for anyone considering studying Data Science would be to fully engage with both the academic and extracurricular opportunities available. Make use of office hours, careers support and don’t be afraid to challenge yourself with projects or new skills outside the curriculum. Queen Mary offers a lot of opportunities, but you get the most out of it by being proactive.