Why study this course
Engineering Mathematics is the development and application of advanced mathematical techniques to problems in engineering, technology and physical and life sciences. Our courses will equip you with the mathematical modelling, and computational and data
analysis skills necessary to solve these challenging real world problems, as well as meet increasing demands from industry for graduates who can work across traditional discipline boundaries. You will learn the very latest techniques from enthusiastic staff
who are world experts in their field, and have the opportunity to apply them in a faculty with internationally renowned experimental labs. Some of the opportunities to specialise in applied non-linear mathematics and intelligent systems are beyond the realms
of almost any other degree course. We use a wide range of teaching methods including lectures, hands-on laboratory sessions, team work and tutorials. Above all, we encourage you to think widely and freely, and develop your own intellectual curiosity.
More about this course
The Department of Engineering Mathematics is internationally renowned for the quality of its teaching and research. You will be taught in a supportive environment where you will be encouraged to develop your own ideas - we aim to inspire you and to broaden
your mind. A strong research base is essential in keeping our degree programmes up to date. Many courses are directly motivated by the research interests of members of the Department - which include Applied Non-linear Mathematics, Artificial Intelligence and
Neural Computing - and so you will be taught by people who are world experts in their field. The Engineering Mathematics Department is part of the Engineering Faculty, which has some of the best facilities in the world. In particular, you will have access
to the Bristol Laboratory for Advanced Dynamic Engineering, an engineering test facility that provides the opportunity to apply mathematical expertise in a real-world setting. Previous students have found success with the Year in Industry scheme and you may
wish to consider taking a gap year with this scheme, or direct industrial sponsorship, but this is certainly not compulsory. TUBES, the student engineering society, organises a variety of social events, talks, sports teams, and a ''parenting scheme''. They
represent students to the faculty, and offer advice on sponsorship and placements. Many students in the Department are active members of Engineers without Borders, a student-led charity that focuses on removing barriers to development using engineering, making
a difference to people's lives around the world.
Who’s this course for?
This course is ideal for students with strong mathematical skills and the ability to think freely. You should be keen to develop your intellectual curiosity and eager to solve the real-world technical problems of today and the future.
First year: Mathematical and Data Modelling, Engineering Mathematics 1, Engineering Physics 1, Discrete Mathematics, Introduction to C and C++, Dynamics 1, Thermodynamics 1, Language Option. Second year: Mathematical and Data Modelling 2, Engineering Mathematics
2, Engineering Physics 2, Discrete Mathematics 2, Numerical Methods in MATLAB, Symbols, Patterns and Signals, Dynamics and Control 2, Fluids 1. Third year: Mathematical and Data Modelling 3, Continuum Mathematics, Nonlinear Dynamics and Chaos, Introduction
to AI, Optimisation Theory. Fourth Year: Research Project and at least 4 of: Advanced Nonlinear Dynamics and Chaos, Control Theory, Mathematical Modelling in Physiology and Medicine, Computational Genomics and Bioinformatics, Uncertainty Modelling, Pattern
Analysis, Statistical Learning. Options: a wide selection of mathematical, engineering and open options.
A personal computer is recommended.
Skills and experience gained
You will be trained in the ability to use your mathematics in practical situations. You'll be able to use logical skills to define a given problem, modelling skills to formulate the problem mathematically, technical skills to write a computer program,
mathematical understanding to question and interpret the results in the light of experimental data, and knowledge of engineering to implement the solution. Particular areas of study will include: applied discrete and continuous mathematics, including numerical
methods, data analysis, continuum mechanics, dynamics, machine learning, and formal methods in knowledge engineering; fundamental engineering principles such as those of thermodynamics, mechanics, electronics and computer science; the advanced mathematical
and logical methods required for manipulating formal knowledge, information and data; open-ended real-world case study problems; mathematical modelling as a cycle of model construction, analysis, and comparison with experimental data; and the application of
results to the original engineering problems. General Skills: You will gain many transferable skills: communication skills, including technical writing and project presentation; a structured approach to solving problems; teamwork and self-assessment; and social
and professional responsibility.
After the course
Engineering Mathematics graduates are superbly employable, with highly marketable technical and transferable skills. Over 90 per cent of our graduates are in work within six months of graduating; the vast majority in careers which actively use the technical
skills developed during the course. Our many connections with industry, through collaborative research and consultancy, mean that our courses remain attractive professionally, and that we are well placed to recommend the best graduate employers. These include
companies from a wide range of industries including robotics, aerospace, internet and social media, mathematical finance, and motor racing. Employers of recent graduates include AWP, IBM, Airbus, Goldman Sachs and Red Bull Racing.