Students
Tuition Fee
Not Available
Start Date
2026-09-21
Medium of studying
On campus
Duration
4 years
Details
Program Details
Degree
Bachelors
Major
Data Science | Applied Mathematics | Statistics
Area of study
Information and Communication Technologies | Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2026-09-21-
2027-09-21-
About Program

Program Overview


Introduction to Mathematics, Statistics and Data Science BSc (Hons)

The Mathematics, Statistics and Data Science BSc (Hons) is a four-year undergraduate degree that combines the study of mathematics, statistics, and data science. This course is designed for students who have an analytical mind, enjoy visualizing and interpreting data, and thrive on challenges.


Course Structure

The course lasts for four years and starts in September. The first year consists of compulsory units in core pure and applied mathematics, statistics, and data science. In the second year, students can choose from a range of options in algebra, applied mathematics, probability, and numerical analysis. The third year offers the opportunity to study abroad or undertake a professional placement. The final year consists of compulsory units in statistics, machine learning, and data science, as well as optional units in areas such as group theory, differential geometry, and mathematical biology.


Compulsory Units

  • Core pure and applied mathematics A (15 credits)
  • Core pure and applied mathematics B (15 credits)
  • Statistics and data science 1A (15 credits)
  • Statistics and data science 1B (15 credits)
  • Differential equations and vector calculus (10 credits)
  • Introduction to data science (5 credits)
  • Machine learning 1 (5 credits)
  • Statistics 2A (10 credits)
  • Statistics 2B (5 credits)
  • Study abroad (BSc) (60 credits) or Professional placement (60 credits)
  • Applied data science (5 credits)
  • Machine learning 2 (5 credits)
  • Statistical modelling and data analytics 3A (10 credits)
  • Statistical modelling and data analytics 3B (10 credits)

Optional Units

  • Year 2 Options (25 credits)
  • Final Year Options (30 credits)

Learning and Assessment

The course uses a variety of teaching methods, including laboratory sessions, lectures, tutorials, and workshops. Assessment methods include closed-book written examinations and coursework.


Professional Accreditations

The course is accredited by the Institute of Mathematics and its Applications, meeting the educational requirements for the Chartered Mathematician designation.


Entry Requirements

  • A levels: AAA - AAA, including A in Mathematics and A in a second quantitative subject
  • International Baccalaureate: 36 points overall, with 7, 7, 6 in three Higher Level subjects, including 6 in Mathematics: Analysis & Approaches
  • English language requirements: IELTS 6.5 overall, with no less than 6.0 in all components

Fees and Funding

Tuition fees are liable to increase annually. The University of Bath offers a range of scholarships and bursaries to support students with their studies.


Application Information

The course code is L131, and the institution code is B16. The application deadline for overseas students is January 14, 2026.


Related Courses

  • Mathematics, Statistics and Data Science BSc (Hons) 3 years

Career Prospects

Graduates of this course can pursue a wide range of career opportunities, including roles in finance, government, teaching, and data science. Recent employers of graduates include British Airways, Lloyds Banking Group, and KPMG.


See More