What do you like about the programme/specialisation and why? How has the programme/specialisation challenged you?
My transition from a Bachelor's in Artificial Intelligence to this Master's programme has been transformative. While my undergraduate studies laid theoretical foundations, the Master's programme's hands-on & project-based approach has pushed me to think differently. I now have the freedom to dive deep into areas that fascinate me, but this comes with greater responsibility. The programme demands significant independence and initiative. Moving from theories to hands-on problem solving has redefined both my approach to learning and my career trajectory.
What do you think about the atmosphere in class?
The programme's collaborative atmosphere sets it apart. Rather than maintaining a rigid hierarchy, teaching staff foster an open environment where students feel comfortable seeking help and sharing ideas. This approachability extends to my peers, who bring genuine enthusiasm and diverse perspectives to every discussion. Working alongside such engaged classmates makes even challenging group projects rewarding.
What do you find most challenging in your Master’s (specialisation)? Have you encountered any obstacles?
While the programme's high degree of independence initially presented a challenge, I've come to value this aspect of my Master's experience. The freedom to shape my curriculum through electives is both liberating and demanding. It requires careful planning to manage course workloads and self-directed learning (skills I had to develop along the way). Choosing from the big number of elective options can feel overwhelming at times, but I greatly prefer this flexibility to a rigid curriculum. The autonomy has pushed me to become more intentional about my academic choices and learning journey.
Are you currently doing an internship? Or what is your thesis about?
I am currently in discussions with some companies about potential internship positions, particularly focusing on roles involving computer vision and deep learning.
Why do you think it is important that there are people with this degree? What are your plans once you have received your Master's degree?
In today's data-driven world, Data Science has become the cornerstone of innovation across virtually every industry. By transforming complex data into actionable insights, Data Scientists unlock solutions that automate routine tasks and empower people to focus on creative work. This expertise is crucial as organisations increasingly rely on data-driven decision making to stay competitive and drive innovation. After completing my Master's degree, I aim to work in an environment where I can apply my analytical skills to solve challenging real-world problems, turning complex data into practical solutions that make a meaningful impact. The field's rapid evolution and growing impact across sectors make it an exciting time to contribute to this transformation.