Mathematics BSc (Hons)

Program Overview

It prepares graduates for careers in finance, data science, actuarial science, and more. The program emphasizes practical applications of mathematics through industry software and scenario-based examples, and offers opportunities for SAS Joint certification and international experience.

Program Outline

Degree Overview:

• Key features:
• Develops logical and analytical thought processes, problem-solving abilities, and good computing techniques.
• Prepares graduates for careers in finance, credit risk, business intelligence, actuarial science, teaching, and research.
• Offers opportunity to gain SAS Joint certification in specific final year statistics modules.
• Utilizes industry software such as SAS, MATLAB, Minitab, and Excel.
• Graduates have pursued careers in financial management, operational research, actuarial science, data science, project management, logistics, teaching, research, and various analytical roles.
• Accredited by the British Computer Society (BCS) and the Institute of Mathematics and its Applications (IMA).
• Objectives:
• Develop practical skills to solve real-life problems.
• Enhance professional skills and communication abilities in the workplace.
• Provide rigorous mathematical knowledge and challenge students to prepare for graduate employment.
• Meet the requirements for Chartered Mathematician designation.
• Description:
• Combines practical and theoretical principles.
• Aims to develop students' analytical knowledge and technical skills.
• Focuses on applying mathematics to real-life challenges.

Outline:

• Content:
• Covers a range of mathematics topics, including statistics, mechanics, operational research, linear algebra, analysis, numerical methods, differential equations, dynamical systems, and data mining.
• Integrates theoretical knowledge with practical applications through lab-based sessions and scenario-based examples.
• Structure:
• Utilizes block teaching, where students focus on one subject at a time.
• Consists of 12 modules spread across three years.
• Includes a final year project.
• Course Schedule:
• First year:
• Block 1: Statistics and Mechanics I
• Block 2: Operational Research
• Block 3: Linear Algebra
• Block 4: Mathematical Analysis
• Second year:
• Block 1: Statistics and Mechanics II
• Block 2: Abstract Algebra
• Block 3: Numerical Methods
• Block 4: Multivariable Analysis
• Third year:
• Block 1: Modelling Ordinary and Partial Differential Equations
• Block 2: Non-linear Dynamical Systems and Nonlinear Optimisation
• Block 3: Choose one of:
• Statistical Modelling: Analysis of Time Series Data, Categorical Data and Multivariate Data
• Data Mining
• Fuzzy Logic and Inference Systems
• Block 4: Final Year Project
• Module Descriptions:

Assessment:

• Methods:
• 100% coursework.
• No end-of-year exams.
• Assessment consists of individual assignments, time-constrained module phase tests, statistics reports, computer laboratory exercises, portfolios, presentations, posters, and a final year project dissertation and viva.
• Criteria:
• Evaluates students' understanding of mathematical concepts, problem-solving abilities, communication skills, and ability to apply their knowledge to real-world scenarios.

Teaching:

• Methods:
• Block teaching.
• Seminars, workshops, and lab-based sessions.
• Utilize industry software such as SAS, MATLAB, Minitab, and Excel.
• Incorporate scenario-based examples for practical application of knowledge.
• Faculty:
• Friendly, knowledgeable, and experienced staff.
• Education 2030 focus on student-centered learning.
• Unique Approaches:
• DMU Replay technology provides audio and visual recordings of lectures for flexible learning.
• Universal Design for Learning (UDL) ensures accessibility and inclusivity for all students.
• Support for students with disabilities and specific learning differences.

Careers:

• Potential Paths:
• Mathematical modelling, data science, credit risk, operational research, financial management, pensions, actuarial science, clinical trials, forensic science investigation, customer relationship management, consulting, project management, business, health, and education sectors.
• Opportunities:
• Work placements through DMU Careers Team.
• International experience through DMU Global program.
• Outcomes:
• Graduates are prepared for employment in a variety of fields.
• High employability rate.

Other:

• Computer Laboratories:
• Equipped with latest technology and software.
• Library and Learning Zones:
• Online access to materials and tools.
• Flexible Learning:
• UDL approach caters to diverse learning styles.
• Student Support:
• Academic, career, and personal support services available.

2024/25 tuition fees for UK students: £9,250 2024/25 tuition fees for international students: £16,250