inline-defaultCreated with Sketch.

This website uses cookies to ensure you get the best experience on our website.

Students
Tuition Fee
GBP 27,000
Per year
Start Date
Medium of studying
On campus
Duration
48 months
Program Facts
Program Details
Degree
Masters
Major
Mathematics | Operational Research | Statistics
Area of study
Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 27,000
About Program

Program Overview


This joint Mathematics and Business Management degree from Exeter University combines advanced mathematical skills with a deep understanding of management practices, preparing students for leadership roles in industry, commerce, or the public sector. The program offers a flexible curriculum with optional modules and the opportunity for a placement year in reputable companies. Upon graduation, students will be well-equipped for careers in fields such as finance, data science, or management consulting.

Program Outline


Degree Overview:

Taught in partnership between Exeter’s Mathematics department and The University of Exeter’s triple-accredited Business School. Designed to equip you for a management career in industry, commerce or the public sector. Provides you with invaluable advanced mathematics skills alongside a detailed understanding of the relationship of management theories and practice to the functional areas of business.


Outline:


Year 1:

  • Compulsory modules:
  • MTH1000 Foundations:
  • 0 credits
  • MTH1001 Mathematical Structures:
  • 30 credits
  • MTH1002 Mathematical Methods:
  • 30 credits
  • MTH1004 Probability, Statistics and Data:
  • 30 credits
  • BEM1023 Discovering Management:
  • 30 credits

Year 2:

  • Compulsory modules:
  • MTH2003 Differential Equations:
  • 15 credits
  • BEM2007 Operations Management:
  • 15 credits
  • BEM2
  • Choice of Management Modules: 15 credits
  • Optional modules:
  • MTH2004 Vector Calculus and Applications:
  • 15 credits
  • MTH2006 Statistical Modelling and Inference:
  • 30 credits
  • MTH2008 Real Analysis:
  • 15 credits
  • MTH2009 Complex Analysis:
  • 15 credits
  • MTH2010 Groups, Rings and Fields:
  • 15 credits
  • MTH2011 Linear Algebra:
  • 15 credits
  • XXXXXXFree Choice:
  • 15 credits (up to 30 credits)

Placement year (if taken):

  • Placement year takes place in the third year of the five-year degree.

Year 3 (Year 4 if taking placement year):

  • Compulsory modules:
  • MTHM036 Research in Mathematical Sciences:
  • 15 credits
  • BEM3033 Strategic Management:
  • 30 credits
  • Optional modules:
  • MTH3001 Theory of Weather and Climate:
  • 15 credits
  • MTH3004 Number Theory:
  • 15 credits
  • MTH3006 Mathematical Biology and Ecology:
  • 15 credits
  • MTH3007 Fluid Dynamics:
  • 15 credits
  • MTH3008 Partial Differential Equations:
  • 15 credits
  • MTH3011 Nonlinear Systems and Control:
  • 15 credits
  • MTH3013 Applied Differential Geometry:
  • 15 credits
  • MTH3019 Mathematics: History and Culture:
  • 15 credits
  • MTH3022 Graphs, Networks and Algorithms:
  • 15 credits
  • MTH3024 Stochastic Processes:
  • 15 credits
  • MTH3026 Cryptography:
  • 15 credits
  • MTH3028 Statistical Inference: Theory and Practice:
  • 15 credits
  • MTH3030 Mathematics of Climate Change:
  • 15 credits
  • MTH3038 Galois Theory:
  • 15 credits
  • MTH3039 Computational Nonlinear Dynamics:
  • 15 credits
  • MTH3040 Topology and Metric Spaces:
  • 15 credits
  • MTH3041 Bayesian statistics, Philosophy and Practice:
  • 15 credits
  • MTH3042 Integral Equations:
  • 15 credits
  • MTH3044 Bayesian Data Modelling:
  • 15 credits
  • MTH3045 Statistical Computing:
  • 15 credits
  • MTH3050 Functional Analysis:
  • 15 credits
  • EMP3001 Commercial and Industrial Experience:
  • 15 credits
  • Free Choice - up to 30 credits:
  • 30 credits
  • NSC3009 Aerosols, Clouds and Climate:
  • 15 credits

Final year:

  • Compulsory modules:
  • MTHM003 Analysis and Computation for Finance:
  • 15 credits
  • MTHM006 Mathematical Theory of Option Pricing:
  • 15 credits
  • MTHM032 Mathematics, Business and Finance Project:
  • 30 credits
  • Optional modules:
  • BEAM035 Derivatives Pricing:
  • 15 credits
  • BEEM113 Advanced Econometrics:
  • 15 credits
  • BEEM102 Quantitative Research Techniques:
  • 15 credits
  • BE M
  • Business School M-level module: 15 credits
  • MTHM001 Functional Analysis:
  • 15 credits
  • MTHM004 Fractal Geometry:
  • 15 credits
  • MTHM017 Advanced Topics in Statistics:
  • 15 credits
  • MTHM018 Dynamical Systems and Chaos:
  • 15 credits
  • MTHM019 Fluid Dynamics of Atmospheres and Oceans:
  • 15 credits
  • MTHM022 Dynamics and Evolution of Biological Systems:
  • 15 credits
  • MTHM023 Modelling the Weather and Climate:
  • 15 credits
  • MTHM024 Mathematical Analysis of Biological Systems:
  • 15 credits
  • MTHM028 Algebraic Number Theory:
  • 15 credits
  • MTHM029 Algebraic Curves:
  • 15 credits
  • MTHM030 Waves, Instabilities and Turbulence:
  • 15 credits
  • MTHM031 Magnetic Fields and Fluid Flows:
  • 15 credits
  • MTHM033 Statistical Modelling in Space and Time:
  • 15 credits
  • MTHM041 Analytic Number Theory:
  • 15 credits
  • MTHM045 Space Weather and Plasmas:
  • 15 credits
  • MTHM048 Ergodic Theory:
  • 15 credits
  • MTHM052 Mid-Latitude Weather Systems:
  • 15 credits
  • MTHM062 Data-driven Analysis and Modelling of Dynamical Systems:
  • 15 credits
  • MTHM063 Uncertainty Quantification:
  • 15 credits
  • NSCM005 Mathematical Modelling in Biology and Medicine:
  • 15 credits
  • Free Choice of level M Modules:
  • 30 credits
  • 3
  • Free choice of level 3 module:
  • 15 credits

Assessment:

  • Assessment for all degrees is through a combination of examinations and coursework.
  • Examinations are the more important part of the process, but the coursework helps you to work steadily throughout your degree.
  • Written examinations for mathematics modules are held in January and May/June of the first and second years and in May/June of each subsequent year.
  • Some modules have tests, essays, presentations and/or project reports that contribute to the assessment.

Teaching:

  • All our degrees involve a combination of teaching methods, including lectures, seminars, examples classes, workshops and tutorials.
  • Most modules in mathematics involve three one-hour lectures per week, so you typically have 12 lectures per week.
  • In the first year there are tutorial classes for each module every fortnight, except for modules involving computing or project work.
  • You will be allocated a personal tutor who will be happy to advise or put you in touch with support services.
  • You will benefit from teaching by academic staff comprising internationally-recognised mathematicians, scientists and practitioners active across a wide range of topics in pure and applied mathematics, statistics and applications.

Careers:

  • Exeter has an excellent reputation with graduate recruiters and a strong employment record.
  • Our graduates excel in specialist mathematical fields and across a broad range of other sectors.
  • You’ll be able to meet with local and national employers who regularly visit the university to engage with students, hosting mock interviews, CV workshops, drop-ins and lectures.
  • Our Careers Service also host a wealth of employer activity, such as Careers Fairs.
  • Examples of roles recent graduates are now working as include:
  • Accountant
  • Actuary
  • Analyst Programmer
  • Business Analyst
  • Credit Risk Analyst
  • Data Science Developer
  • Investment Analyst
  • Software Engineer
  • Statistician
  • Tax Manager

Other:

  • You can choose to take an optional ‘Commercial and Industrial Experience’ module during the vacation before your third year (fourth year for ‘with a Year in Industry’ students).
  • If you complete 60 credits of modules in one of the subjects below, you may have the words 'with proficiency in [e.g.
  • Social Data Science]' added to your degree title when you graduate:
  • A Foreign Language
  • Data Science
  • Entrepreneurship
  • Innovation
  • Law
  • Leadership
  • Social Data Science

UK students: £9,250 per year International students: £27,000 per year

SHOW MORE
Admission Requirements

Entry Requirements:

  • A-Level: A AA (with GCE AL Maths grade A)
  • IB: 38/766 (with HL6 in Mathematics (Analysis and Approaches))
  • BTEC: D DD (with GCE AL Maths grade A)
  • GCSE: Grade 4/C in GCSE English language
  • T-Level: Not accepted
  • Contextual Offer: A-Level: AABIB: 34/665BTEC: DDD (Specific subject requirements must still be achieved where stated above.
  • Find out more about contextual offers.)

Language Proficiency Requirements:

International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B2.

Location
How can I help you today?