Master in Mathematics with Data Science for Industry MSc

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 Mathematics with Data Science for Industry MSc is a one-year program at the University of Bath, tailored for students with a Bachelor's degree. It helps students develop strong mathematical skills and apply them to real-world problems.

The curriculum covers topics like statistical modeling, machine learning, and data analysis, with hands-on projects that help students develop problem-solving skills and learn to work with data. Students will also learn programming languages like Python and R.

Graduates can pursue careers as Data Scientists, Mathematical Modelers, Business Analysts, or Quantitative Analysts, working in industries like finance, healthcare, or technology. They can work for companies like Google, IBM, or the UK National Health Service.