Computational MathematicsSchool of Computing Informatics and Media - U. of Bradford
Price on request
- Bachelor's degree
What you'll learn on the course
Mathematics is very much alive and growing in importance in the modern technological world. New developments are taking place all the time; some as a result of fresh ideas within mathematics itself, while others are stimulated by applications in computing, economics, physics, biology, and other sciences. As such, there is a constant demand for well-trained mathematicians in a wide variety of occupations, and you could find yourself in an aircraft design team, analysing drug trials or biomedical statistics, studying terrestrial or space weather, working as an actuary, a teacher, a researcher, a computer programmer or as an accountant, or in any number of management positions throughout industry or in the public sector.
Our new BSc Computational Mathematics blends teaching in fundamental mathematical areas with core modules in computing selected from our accredited courses. In the first two years of the course, you will be able to develop core skills in mathematics and computing. In the final year, you will be able to choose from a variety of more specialised subjects, and undertake a research-oriented project. As such, the BSc Computational Mathematics course will enable you to both understand advanced mathematical topics, and learn how they are utilised in computational processes in a range of applications, from business with decision support systems through to image processing with computer graphics. In addition, the problem-solving nature of the course will enable you to acquire skills in critical thinking and logical analysis that will serve you well in many careers.
- Fundamental Mathematics 1
- Software Development Part 1
- Fundamental Mathematics 2
- Statistics (Discrete and Continuous)
- Mathematical Methods 1
- Software Development Part 2
- Numerical Algebra and Calculus
- Ordinary Differential Equations
- Data Structures and Algorithms
- Mathematical Methods 2
- Symbolic and Declarative Computing and Artificial Intelligence
- Numerical Solution of Ordinary Differential Equations
- Statistics and Experimental Design
You will spend your third year in paid employment, applying your computing skills within a commercial organisation. This industrial experience gives you a fresh insight into your academic work, and it often makes it easier to find a job after graduation as well as helping your progression to full membership of a professional body.
- Decision Support Systems [option]
- Mobile Networks Performance Modelling [option]
- Partial Differential Equations
- Programming Language Theory and Semantics [option]
- Real and Complex Analysis
- Artificial Intelligence for Games [option]
- Computer Graphics [option]
- Continuum Mechanics
- Digital Image Processing [option]
- Formal Methods [option]
- Technical Investigation and Report
(*) Modules may change at short notice
Each module is assessed by written examination or coursework, or a combination of both. Assessment in the first year is designed to measure your progress on the course. Your degree result will be based on assessment in the second and final years.
4 years, full-time with sandwich placement year.
Career opportunities: We have an excellent graduate employment record with many of our graduates entering related employment. The scientific and analytical skills provided by our courses form an excellent basis for careers in teaching, research or management. Recent employers of our graduates include Ananova, GE Capital Europe, Hewlett Packard, Reuters, IBM, Microsoft, the NHS, Motorola, Quantum tm, Lombard Risk Management, and Leeds Council Social Services.