Master of Science in Machine Learning and Autonomous Systems

at University of Bath United Kingdom

Learn about key approaches in applied maths and data science that can be integrated to solve real-world problems.

The cutting edge of the application of mathematics in industry combines modelling, analysis and interpretation using methods from applied mathematics and the rapidly growing area of data science. This course is for you if you're interested in applying maths, statistics and computer science to solve complex problems in industry.

Course highlights

• Study a wide range of taught units in applied maths techniques, mathematical modelling, data science, machine learning and scientific communication.
• Gain real-world experience from group projects with other students and the opportunity to work on a project with one of our industrial partners.
• Projects and modules benefit from our research specialisms, including industrial applied maths, probability, scientific computing, machine learning, dynamical systems, asymptotics, imaging, modelling of waves and fluids, and mathematical biology.

Working with industry

A key element of the course is the opportunity to work on a real project with one of our industry partners. This may include some time-based at an external company. Some of our current industry partners include the Met Office, Barclays, Emerson Roxar and Raytheon. Industry projects give direct experience of the problem-solving process, including:

• Identifying the problem and translating it into mathematical language
• Processing and analysing relevant data
• Solving the mathematical problem
• Communicating the results to the client

Explore new and creative ways to tackle key social challenges. Learn theory and methods to understand, critically examine, and influence organisations.

This course will appeal if you want to combine an understanding of the social world from different perspectives with a rigorous analysis of policy responses to social problems. You will examine theory and techniques from sociology alongside the analytical focus of social policy.

You’ll explore areas such as health, welfare and poverty, race and discrimination, inequality and exclusion. You’ll be able to take a range of optional units on topics such as the sociology of death, lobbying, justice and conflict. By the end of the degree you’ll have an understanding of how social institutions develop, operate and how they might be improved.

Placement Year

The placement year will give you valuable practical experience and is an excellent opportunity to try different careers. It enables you to leave university with a strong CV and may set you apart from other graduates entering the job market. You can take placements in commercial, voluntary or government organisations, or in a research setting.

Develop advanced knowledge and skills in a range of business areas. Gain the practical experience you need for a variety of management careers.

This is a flexible degree with optional units to choose from after Year 1. In your first year, you’ll study with International Management and Management with Marketing students. You’ll benefit from learning in a diverse class with students who have different backgrounds and ambitions.

Placement Year

Apply your skills and knowledge in a practical business environment with a placement year. Placements are real jobs and usually paid. You will gain a competitive advantage in the graduate job market with this valuable experience.

The average salary in 2019 was £20,932 and the highest was £50,000. The average salary is based on data provided to us by all 59 students who went on placement in the UK.

Learn how to research, design and develop machine learning and autonomous systems technologies. You’ll develop the knowledge and skills to solve complex problems.

Intelligent and autonomous systems are increasingly important in all areas of our lives, from medicine and space exploration to agriculture and entertainment. Machine learning is at the heart of these systems, including computer vision and robotics. It also underpins the recent developments in data analytics across many fields.

Understanding and developing autonomous systems involves a range of skills and knowledge including designing interactive systems with both human and machine elements, and modelling and building systems that can sense and learn. This course will give you the opportunity to develop these skills including the theory of machine learning, artificial intelligence, autonomous systems design and engineering. You’ll also learn about the implications of us interacting with intelligent and autonomous systems more and more.

Combine electronic engineering expertise with advanced knowledge of computer hardware and software skills to develop the computer systems of the future.

Our course prepares you for a career in an advancing field at the interface of engineering and computing. You'll gain in-depth knowledge of modern computer systems, software engineering, computer graphics and embedded programming to become a systems-level expert.

Learning the foundations of electronic, electrical and computer principles gives you a broad understanding of the subject. Later in your degree, you can specialise with a choice of units including embedded electronic systems, computational intelligence or electronic design.

Working with the latest digital technology, you'll design systems such as embedded microprocessors, programmable integrated circuits or high-performance computers. You'll learn how to use industry-standard programming and hardware design languages, operating systems and applications.

Group and individual projects are an important part of your learning experience. They give you technical, business and management skills to solve engineering problems relevant to industry. You could explore areas including computer systems design and integration, or information systems and interfaces.

Our MEng degrees give you an in-depth study experience through advanced taught units and project work and fulfil the educational requirements you need to become a Chartered Engineer.

Placement Year

Going on placement gives you a chance to apply theoretical knowledge to the workplace and develop skills in a professional environment. Your placement experience can benefit the rest of your degree and improve your career prospects after graduation. It can also be an opportunity to earn a salary during your degree.

Our students have worked at companies including Intel, Jaguar Land Rover, Thales, Renishaw, Nordic Semiconductor, Siemens, Ultra Electronics, Surrey Satellite Technology and McLaren.

Prepare yourself for a career in specialist language work including translation, editing and précis-writing.

If you're interested in working as a professional linguist or working with the written word to provide translations and specialised language services, this course is an excellent option.

With a growing demand for highly trained speakers of English in the UK and abroad, this specialist master's will equip you to set up your own freelance business or work in-house for an international organisation or language service provider.

Unlike other courses of its kind, ours covers a wide variety of skills, including editing, revision, précis-writing and proofreading. Employers and agencies have told us they’re looking for these services, so having the right skills will place you in a strong position for securing work. You'll have the opportunity to gain skills in public service and commercial interpreting, and you will learn about setting up your own translation business.

Gain specialist knowledge in pure and applied mathematics with a particular focus on statistics.

Mathematics enables us to reason logically, to understand structure and formulate scientific principles. Statistics is the collection, analysis and interpretation of data central to everything from scientific progress to medical research and the work of government.

This course is for you if you would like to study statistics and have a significant interest in mathematics. You’ll be trained how to analyse problems and interpret patterns in data to make careful predictions about the future.

Design, operate and build electronic systems for the space environment. Gain the engineering skills needed for a career in the space industry.

Our course takes you beyond the conventional engineering difficulties of designing equipment for use on Earth’s surface. Instead, you’ll develop the skills needed to design and build systems and platforms for the hostile environment of space.

Your first two years develop your understanding of electrical engineering science before specialising in electronics and communications technologies with elements of space and planetary science. Your learning will be supported by the latest theory and practice in spacecraft engineering, space electronics, Earth observation, the space environment and weather.

Our MEng degrees give you an in-depth study experience through advanced taught units and project work and fulfil the educational requirements you need to become a Chartered Engineer.

Mathematics enables us to reason logically, to understand structure and to formulate scientific principles, whether from the physical, life or social sciences.

Choose this course to gain specialist knowledge in pure mathematics, applied mathematics and/or statistics.

Tailor to your interests

At the start of the course, you’ll gain a broad education in pure and applied mathematics, including programming and statistics. You’ll have the freedom to study a broader mathematical pathway or specialise in your favourite subject areas, enhancing your analytical thinking and appreciation of the beauty of mathematics.

All of our courses are flexible and allow for a wide choice of units after year one. You may be able to switch courses during the first year.

Become an innovative computing professional with the skills needed for a career in the fast-growing field of AI.

This course is for you if you’re keen to learn about current Artificial Intelligence (AI) technologies, specialising in this field from the start of your degree whilst still gaining a broad grounding in computer science. AI is becoming an ever more important part of a wide range of sectors from medicine to marketing, so this course will help prepare you for continued demand in the job market.

You'll gain the skills and knowledge to apply the latest AI technologies and methods to a wide range of problems, studying topics such as machine learning, algorithms and complexity, and visual computing.

Tailor to your interests

In the first year, you’ll learn the basics of computer science, including mathematics and programming skills, along with an introduction to the theory and practice of AI. In the second year, you’ll continue to develop your AI skills, with a focus on machine learning. In the final year, you’ll choose optional units alongside an individual project in a specific area of AI. You can specialise in areas such as robotics, natural language processing, intelligent agents or computer vision. You’ll regularly meet with an academic who’s an expert in your chosen field.

Year abroad

Broaden your horizons with a year studying at a university abroad. You’ll experience another culture while studying a course that complements your studies at Bath.

We have links with universities in the United States, Canada, Australia, New Zealand and Europe, currently including Binghamton University, University of Nebraska, University of Canterbury, TU Vienna and National University Singapore.