Master in Data Science and Statistics MSc including placement year

The University of Bath, founded in 1966 on Claverton Down in Bath, United Kingdom, combines a compact campus with a strong reputation for research and teaching excellence. With about 19,041 students and more than 6,000 international students, Bath is well regarded across national rankings and is known for high-quality science, engineering and management programs. The university's Royal Charter underpins academic autonomy and an ambition to strengthen its global position among leading research-led institutions.

Teaching and research are treated equally at Bath, with practical placements and employer links central to the student experience. The university offers nearly 293 programs across undergraduate and postgraduate levels, emphasising applied research with measurable impact. Strong industry partnerships mean many degrees include year-long placements or internships, helping students build professional networks and improve employability. Research centres focus on advanced engineering, health and sustainability, and cross-disciplinary projects provide international collaboration opportunities and graduate research roles.

Life in Bath blends historic architecture and modern campus facilities, and the city offers a welcoming environment with good transport links to London and the southwest. Support services for international students include orientation, language help and visa guidance, while active student societies and labs foster a collaborative community. Accommodation options range from halls to private housing, and prospective international applicants should explore scholarships, placement options and the careers service early to plan a strong application.

The Master in Data Science and Statistics MSc including placement year at the University of Bath is a two-year program. It is for students who want to learn about data science and statistics. This program is taught in English and includes a placement year.

The curriculum covers statistics, data analysis, and machine learning. Students develop skills in programming and data visualization. They also get hands-on experience with real-world projects and a placement year.

Graduates can work as Data Scientists, Statisticians, Data Analysts, Business Intelligence Developers, or Quantitative Analysts. They can work in finance, healthcare, or technology companies.