The best part of my university experience has been the opportunity to grow both academically and personally. I’ve gained deeper knowledge in my field, improved my critical thinking skills, and met people from diverse backgrounds. Group projects, clinical/academic exposure, and supportive lecturers have helped me become more confident and independent in my learning. The most challenging aspect has been managing stress, workload, and time pressure, especially during exams and deadlines. At times, balancing studies with personal responsibilities felt overwhelming. Some courses were also heavily theory-based with limited practical exposure, which made learning less engaging.

The strongest aspect of my Advanced Data Science course has been the combination of theoretical foundations with real-world applications. I have developed strong skills in Python, data analysis, machine learning, and data visualization while working on practical projects using real datasets. The course has also improved my problem-solving ability, critical thinking, and understanding of how data-driven decisions impact industries such as healthcare, business, and technology. The most challenging part of the course has been the intensive workload and the steep learning curve, especially when dealing with complex machine learning algorithms, large datasets, and tight project deadlines. At times, limited industry-based practical exposure and high computational requirements made certain tasks difficult to manage independently.

I don’t take any help in this union

I think our course design is good

No