The environment is nice to study in, everybody is welcoming you.

The course is okay. A lot of work needs to be done, however.

it is hard to get accommodation for student in this city.

No

Best aspects: The course gives clear structure and strong links to industry. Modules cover machine learning, data engineering, and analytics with practical labs. Staff respond fast to questions. The campus offers modern study spaces. The library has long hours and reliable access to datasets and software. The student community is active and friendly. Life in Nottingham is affordable compared with other UK cities, and international support events help new students settle in. Worst aspects: Housing costs rise each year. Some group projects have uneven workloads. More career events for international students would help.

Best aspects: Teaching follows a clear plan with strong focus on practical work. Labs cover data science tools that employers expect. Lecturers respond to questions in a direct way during office hours. Facilities support the course well, with fast computers and reliable software access. Course content stays current through regular updates. Group tasks give useful experience with real workflows. Worst aspects: Tutor contact time feels limited during busy weeks. Some modules move fast which requires extra study time.

Most liked: The studio gives strong privacy and quiet space for study. The room layout is simple and functional. Heating and water work reliably. Internet speed stays stable. Location gives fast access to campus and shops. Management handles requests in a direct way. Least liked: Rent feels high for a student budget. Storage space could be larger.