Master of Science in Health Psychology with Placement Year

at University of Bath United Kingdom

Gain the technical and professional skills to pursue a wide range of careers as a chemical engineer.

Our course introduces you to the core principles and practices of chemical engineering. It develops your professional skills in engineering, mathematics, science, information technology, research, design, communication and management.

Through lectures and practical lab sessions, you’ll learn how to gather and assess data to develop industrial strategies. You’ll explore new technologies and gain a comprehensive understanding of process design. Your studies will give you the confidence to critically apply scientific and engineering knowledge.

You’ll also develop transferable skills such as problem solving, teamwork and resource management. Integrating these with your technical knowledge, you’ll learn how to tackle complex, and often open-ended, engineering problems.

Placement Year

A placement gives you the chance to gain experience and develop skills in a commercial or industrial environment, and can count towards becoming chartered. The professional knowledge you gain can benefit the rest of your degree and improve your career prospects. It can also be an opportunity to earn a salary during your degree.

Our students have worked at companies such as GSK, Unilever, Mondelez, Wessex Water, Biobean, BP and Exxon Mobil.

Develop a strong foundation in the theory and practice of data science, and learn specialist skills in statistics.

Data science is increasingly important to the global economy and is influencing scientific progress across numerous fields from bioscience, to energy and telecommunications. We'll provide you with the tools to become an industry expert with a strong mathematical foundation.

Who is this course for?

This course is designed for graduates who have limited experience of statistics and would like to develop their knowledge in this area. The first semester will give you general programming and machine learning development skills. The second semester is focused on statistics, and will give you the skills and knowledge to challenge real-world data using more advanced analytical techniques.

Placement Year

Going on placement gives you the opportunity to apply your skills and knowledge during a year working in industry. You’ll be employed full-time in a role to match your future career ambitions, broadening your experience and transferable skills.

We have links with companies of all sizes from household names to start-ups. Recent placements include positions at EDF, Intel, AtomX Ditigal and Infomentum.

Use your knowledge to specialise in an evolving area of technology and develop the management skills to play a part in the future of the automotive industry.

Our course teaches you how to use the knowledge from your first degree to further your education and specialise in automotive technology. You’ll combine your studies in technology with business and management theory to meet the current and future needs of the automotive sector.

At the start of your course, you’ll be set a topical automotive theme to carry through into group projects. This ensures the subject-based units are current and relevant to professional practice in the industry. It also gives you the benefit of a personalised learning pathway. We’ll introduce you to key scientific principles in automotive technology and give you specialist insight into the subject to help you build on your existing skills. Your studies will cover some of the leading areas of development in industry such as advanced propulsion systems, sustainable mobility and innovation for a zero-carbon economy.

Exploring a range of automotive engineering applications and technologies, you’ll consider their impact, analysing past failures and predicting future challenges and successes. You’ll develop systems-thinking approaches to understand the breadth of challenges faced in the sector such as moral, ethical and sustainability issues.

Complementing your technology studies, you’ll learn about business and management in the automotive sector. You’ll cover areas such as resource management, business processes, business theory, and change management. A key part is our ‘practice track’ business project, which allows you to work on a real engineering management challenge together with an industrial partner. In this you’ll explore new and existing business models, including innovative and conscientious partnerships that balance economic growth with the impact of their activity on society.

Vital in addressing global health and environmental challenges, biochemistry explores the chemical processes of living organisms at a molecular level.

Combine your interests in biology and chemistry by applying chemical knowledge and techniques to study biological processes. You’ll learn what’s happening inside cells, how they communicate with each other, and use this to predict how molecules will interact.

Tailor to your interests

In year one you’ll gain a broad grounding in biosciences to help work out where your interests lie. Then from year two, you'll choose optional units in specific areas, such as developmental biology, genomics, neuroscience, cancer biology and microbiology.

And to keep your options open further, you'll even have the flexibility to switch between our biology and biochemistry courses after the first year.

Placement Year

You may gain a competitive edge in the graduate job market by taking a placement year. You’ll work full-time in a role that might be undertaken by a graduate, where you’ll broaden your experience and transferable skills.

There are a wide range of opportunities, from working in marketing for a pharmaceutical company to a lab-based role at a research institute. We have links with some of industry's leading companies. Recent employers include Lilly, Field Studies Council, Royal Botanic Gardens Kew, Oxford Gene Technology, AstraZeneca, Genesys and LifeArc.

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

Gain the benefits of studying across different scientific disciplines with the flexibility to shape your degree to your career aspirations.

This is the course for you if you love science and want to study more than one science subject at university. You can design your own degree to suit your interests and strengths. You’ll be able to take your existing scientific skills further, explore new areas and apply what you’ve learnt in practical and relevant ways.

Employers will value your ability to bring problem-solving skills from a variety of different angles. You’ll graduate with the breadth of knowledge and practical skills to prepare you for a career in industry or for postgraduate research.

If you decide your interests fit better within a single science, you may be able to transfer to biology, biochemistry, chemistry, pharmacology or physics after year one.

Learn about the deep connections between mathematics and theoretical physics and develop your scientific computing and theoretical modelling skills to understand and solve complex physical problems.

This course is for you if you want to study a broad physics degree with less emphasis on experimental laboratories and a stronger focus on theoretical, mathematical and computational aspects of physics.

You'll study the cornerstones of theoretical physics while developing your understanding of their mathematical foundations. Our courses reflect our theoretical research expertise in condensed matter, photonics and astrophysics. The computational physics and programming aspects also reflect the more applied nature of our theoretical research.

The combination of theoretical and practical knowledge of physics and mathematics is highly sought-after by employers and also gives an excellent grounding for postgraduate or industrial research.

Placement Year

Apply your skills and knowledge to a year working full-time in a scientific or other professional organisation, anywhere around the world. It is an excellent opportunity to evaluate future career paths and broaden your experience and transferable skills, giving a competitive edge when applying for graduate jobs. 95% of physics students agreed their placement was valuable in helping their learning (National Student Survey 2017).

You can choose from a wide range of roles to match your interests, from working in marketing to a lab-based role at a research institute. We have links with some of the industry’s leading companies and recent employers include BAE Systems, CERN, Dyson, Morgan Stanley, Rolls-Royce and Samsung.

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.

Achieve a grounding in economic theory while learning different statistical approaches for the analysis of economic data.

This course is for those who want an understanding of the tools and key theories within economics and mathematics. You'll use these skills to analyse contemporary problems and policy. On this course, you’ll study the core elements of economics, including microeconomic theory, macroeconomic theory and econometrics.

You will develop methodological and statistical tools for the analysis of complex data. Throughout your studies, you will be immersed in a wide variety of quantitative topics. This will enable you to develop and apply your advanced mathematical skills.

In your first year you'll study key concepts in microeconomic and macroeconomic theory, and develop your skills in mathematical and statistical theory and applications.

In your second year you'll continue with more advanced study of economic theory, mathematics and statistics. You'll acquire a deep understanding of economic relationships.

In your final year, you'll study topics and techniques in advanced economic theory and mathematics to critique and contribute to current debates. You can tailor your choice of optional units to your personal interests

By the end of the course, you’ll be able to understand the complexities of global economic problems and data, and you will possess advanced quantitative skills and tools to create innovative solutions.

Placement Year

Taking a placement in your third year enables you to use the theory you have learnt in a practical context. You will learn about an organization and its area of work in the UK or overseas. This is an excellent opportunity to test potential career paths. Sometimes permanent jobs are offered to our students. You’ll develop skills such as teamwork, planning, problem-solving, decision making and project management.

Employers value a year of professional work and you’ll gain an advantage in the job market. Sometimes it is possible for you to acquire additional professional qualifications, particularly in accountancy, whilst on placement.

Year abroad

On this course you'll combine a work placement with studying at a university overseas. Broaden your horizons and experience another culture whilst studying a course that complements your studies at Bath.

Study abroad locations include the National University of Singapore and Stellenbosch University (South Africa), as well as others. We seek to further expand on these. Study abroad opportunities are limited and are subject to availability at our partner institutions.

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.