Master in MSc Applied Data Science

The University of Buckingham in Buckingham, United Kingdom, established in 1983, is a private university known for small-group teaching and accelerated degree options, serving around 2,700 students across four main program areas. Its model emphasizes intensive contact hours, personalized supervision, and a focus on employability. The compact campus and tutorial-style learning support close faculty-student interaction and timely progression through degrees.

Students benefit from a collegiate atmosphere, strong academic support, and opportunities for research and professional placements depending on the discipline. International students are supported with orientation, visa guidance, and English language resources to ensure smooth integration. The university’s links with professional bodies and employers help graduates transition into careers in law, business, health sciences, and other sectors.

Admissions consider academic qualifications and program-specific criteria; applicants should prepare transcripts and references and may need to meet English language requirements. Graduates from Buckingham often report strong outcomes due to focused teaching and career preparation, making it attractive for students seeking a concentrated, student-centered UK experience. For international applicants who value small classes and direct faculty engagement, Buckingham offers a clear, efficient pathway to degree completion and professional development.

Data Science has become a discipline with applications across sectors like AgriTech, FinTech, and HealthTech. The MSc in Applied Data Science at Buckingham trains students to address the intellectual problem of making sense of vast data in an era of increasing digitisation. The School of Computing offers a one-year programme structured around eight core modules, including Data Exploration and Visualisation and Applied Techniques of Data Mining and Machine Learning, with optional placements. It is underpinned by the Department’s expertise. The programme is specifically designed for graduates with a background in computing, engineering, physics, or mathematics and balances theoretical knowledge with practical skills, with a focus on innovation and application.