Bachelor of Science (Hons) in Mathematics

at De Montfort University United Kingdom

Mechatronics covers the integration of mechanical, electronic and intelligent control sub-systems to realise a complete system, which may be a product, machine or process. The multidisciplinary nature of Mechatronics employs design principles, processes, models, toolsets and philosophy unique to Mechatronics Engineers which enable the design and development of simpler, more economical and reliable systems. Mechatronics engineers are in short supply, and enjoy highly versatile careers due to their multidisciplinary skills.

The course covers a unique balance of key analytical subjects and professional skills, ensuring that you graduate well-equipped to face challenging engineering situations in industry. The management skills necessary to operate successfully as a multidisciplinary engineer in industry are promoted and developed at all stages of the course.

Our Intelligent Systems MSc provides you with knowledge of the various models of computational intelligence, an insight into their theoretical basis, and the skills to apply the associated techniques to a wide variety of industry problems.

Course modules include Computational Intelligence Research Methods, Fuzzy Logic, Natural Language Processing and Mobile Robots, and you will have opportunities to use the knowledge you acquire in a range of application areas to suit your interests, from robot control to games development.

The language you speak shapes the world you see. This degree helps you understand both better, and to make connections between what you study and what goes on in the world beyond the classroom.

You will develop skills in linguistic analysis and your own abilities to use language adeptly and appropriately in any potential context. You will also acquire a range of key transferrable skills including, among others, textual analysis, synthesis, writing and general presentation skills, which will equip you for a wide range of careers.

We live in a world governed and connected by technology. At DMU we believe that you should study the nature of the 'wired' environment and how it influences who you are. As part of our approach to digital humanities, you will have the opportunity to see how communication and language operate on web-based platforms, and how the application of digital tools and methods can deepen the knowledge of your chosen subject area.

Aeronautical and Aerospace engineering is one of the fastest-growing industries in the UK, with extensive career opportunities in research and development, testing, and maintenance.

This course covers the basic principles of aeronautical engineering, including experimental and theoretical aerodynamics, aircraft design, flight dynamics and control, aircraft propulsion, flight simulation technologies, aircraft structures and computational aerodynamics.

Employment opportunities include careers in aeronautics and aerospace, namely aircraft aerodynamics, wind turbine design and maintenance, aviation management, defense sector, aircraft maintenance, repair and operation services (MRO).

Key features

• Study a range of topics including aircraft structures and materials, flight dynamics and control, and aircraft propulsion systems.
• Benefit from the academic expertise of researchers who have experience of collaborating with international institutions such as the National Aerospace Laboratories India, Central Aerohydrodynamic Institute Russia and AMST-Systemtechnik GmbH Austria.
• Develop your practical and professional skills in our AIRFOX DISO flight simulator.
• Use our instrumented low speed wind tunnel facility to understand the fundamentals of aerodynamics, test prototype aircraft models and acquire experimental skills relevant to aeronautics and wind tunnel testing.
• Access industry-standard software packages used in aeronautical engineering applications and research, such as MATLAB, ANSYS and OpenFOAM, which will give you the ability to work confidently in industry.
• Meet like-minded people and gain hands-on practical skills by joining our student societies, such as DMU Flyers.

Graduates from a range of subject areas, who wish to add this discipline to their portfolio, have the opportunity to master the technical skills and knowledge required for a career in computing on this course.

You will develop your programming and systems analysis know-how by studying modules such as Object-Oriented Programming and Systems Analysis and Design, while also growing a robust skillset in practical areas including E-Commerce Software and Database Systems and Design.  

In your final semester, you will work on your individual project, with the support of an academic supervisor, giving you the opportunity to produce a substantial piece of work on a topic of your choice.

You will be taught by experts from the Centre for Computing and Social Responsibility, which is internationally recognised for applied research expertise, ensuring exposure to the most recent developments in both the theory and practice of modern computing.

You can apply even if you have no previous experience in computing, but you will need to demonstrate some aptitude for logical analysis.

This course is designed for both recent graduates hoping to make their first move into engineering management and for established professional engineers who wish to work in a management role and need to extend their knowledge beyond their technical field into management and business.  

Linking business knowledge with engineering and sustainable development issues, this course emphasises key areas of modern management required by engineers and develops your skills in project management, information systems management and people management.  

You will choose from a range of optional modules, which offer opportunities for technical advancement in areas such as mechanical engineering, sustainability, and computer networks and e-commerce systems. Our technicians and academics will support you in your individual project – a substantial piece of work in your final semester that will link your technical specialism with core aspects of management.  

You will be taught by expert research and teaching staff from across the university, including from the School of Engineering and Sustainable Development and Leicester Castle Business School, reflecting the multidisciplinary nature of the course.

The broad and challenging content will help equip you with the knowledge needed to work in management positions within engineering companies and in technical roles in business settings. Our graduates are working for companies including Rolls-Royce, Network Rail and Airbus UK.

Economics is key to understanding some of the critical questions facing our world. This course will explore these questions while also examining some of the principles and theories that can help us to answer them. The programme will also put data-driven analysis at the heart of its approach, as emphasised by Contemporary Economics.

In this course you will learn to evaluate a variety of advanced quantitative and econometric techniques, and be able to effectively solve economic problems using data application tools. This includes applying knowledge to a range of specialised areas within economics using econometric techniques.

You will have an opportunity to build real skills for future employability. This includes state of the art knowledge in digital software and applications, as well as core skills in writing, presenting and teamwork.

You will study a range of areas, including Applied Microeconomics, Data Management and Visualisation and Digital Economics and Artificial Intelligence which are all taught by leading experts in their fields.

Mechatronics integrates the theory and practice of mechanical, electrical and computer based disciplines, to enable the design, modelling and development of intelligent machines, products and systems.

Mechatronic engineers are in great demand as more industries seek to apply the advances in computers, electronics, sensors, and actuators to improve their products, processes and services. Our course aims to produce dynamic graduates who can operate in industry at the highest level.

Course modules include Mechatronics Systems Engineering and Artificial Intelligence which introduces you to model-based system engineering and the mechatronic philosophies of design, Programming and Software Engineering to develop knowledge of efficient programming approaches to software engineering with an emphasis on practical programming skills and Engineering Business Environment which enable students to understand and reflect upon the role of business in a rapidly changing, globalised world. 

Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are also opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.

You can choose from a number of specialist modules including natural language processing, artificial neural networks and data mining techniques, while developing your skills in our dedicated robotics laboratory, equipped with a variety of mobile robots. The applied computational intelligence module considers knowledge-based systems, as well as the historical, philosophical and future implications of AI, and focuses on current research and applications in the area.   

Mathematics underpins every technological, scientific and engineering achievement and natural phenomenon we see around us. Mathematics is integral to the applications and technologies we rely on each day.

This course develops your practical skills to solve real life problems and enhances your professional skills, enabling you to effectively communicate mathematics in the work environment. You will develop rigour in your mathematical knowledge and your mathematical abilities/ skills will be stretched and challenged.

There is a shortage of graduates with analytical skills and this course meets the demands of industry. As a De Montfort University Mathematics graduate you will have logical and analytical thought processes, problem-solving abilities and good computing techniques, which will give you the opportunity to pursue highly sought-after careers in a wide range of fields including finance, credit risk, business intelligence, actuarial science, teaching, and research, to name just a few.