Bachelor in Applied Data Science Degree Apprenticeship Hons

Bangor University, located in the coastal city of Bangor in Wales and founded in 1884 (Royal Charter 1885), is a public institution known for combining strong research with a student-focused experience. The university enrolls around 11,000 students, including roughly 2,700 international students, and groups teaching and research across nine academic schools. With 382 programmes spanning arts, sciences and professional subjects, Bangor balances tradition and innovation while aiming to deliver high academic standards and a supportive learning environment.

Set between the mountains of Snowdonia and the Menai Strait, the campus offers an attractive natural setting alongside good connections to larger UK cities. Institutional review commends its data-driven approach to quality, partnership with students, and embedded bilingual provision. Sustainability and global citizenship are central themes, informing research, enterprise and campus life, while interdisciplinary projects and community links create practical learning pathways for students at undergraduate and postgraduate levels.

International students benefit from tailored support services, Welsh cultural opportunities, and a breadth of modules that suit varied career goals. Small-group teaching, research-led study and industry connections support employability, internships and further study. Prospective students seeking a welcoming campus with strong pastoral care, active student societies and clear routes into professional life will find Bangor offers rigorous academics alongside a distinctive natural and cultural setting.

The Bachelor in Applied Data Science Degree Apprenticeship Hons at Bangor University is a 3-year program for students who want to learn about data science. This Bachelor degree helps students gain practical skills in a real-world setting.

The curriculum includes interactive lectures, tutorials, and workshops, as well as presentations by guest speakers. Students learn through practical and theoretical assignments, reports, oral presentations, project work, portfolios, and team-based assignments. This hands-on approach helps students develop skills in data analysis, machine learning, and data visualization.

Graduates of this program can work as Data Scientists, Business Intelligence Analysts, Data Analysts, Quantitative Analysts, or Data Engineers. They can find jobs in various industries, including finance, marketing, and healthcare, and can work for companies like Google, Microsoft, or the NHS.