Bachelor of Science in Economics and Politics

at University of Bristol - Clifton Campus United Kingdom

The MSc in Medical Statistics and Data Science will enable you to engage with the complex statistical and data science healthcare challenges facing the global community, providing high-quality training in statistical and computational methods that are applicable to low-, middle- and high-income settings.

As a medical statistician you will play a vital role in improving the health of populations by conducting statistical research (such as designing clinical trials and epidemiological studies, analysing data and interpreting results) to advance medical knowledge, track or prevent diseases and improve medications and treatments.  

Challenges have arisen over the last decade in the increasing availability of enormous electronic datasets related to human health and healthcare. Data science combines mathematics, statistics and programming tools to enable analysis of these very large and diverse datasets.  

You will be trained in the theory and practice of cutting-edge methods in medical statistics and data science (including causal inference, machine learning and data mining). Teaching will focus on building strong quantitative and computational skills, and effective interpretation and communication of research findings. All concepts, skills and tools are illustrated using real-life case studies and health-related data. You will gain professional skills - such as teamwork, presentation skills and writing for publication - essential for a successful medical statistician and data scientist.

Do you enjoy both physics and computing? Our MSci Physics with Scientific Computing combines study of the building blocks and forces of nature with training in the computational and data-science skills that are currently revolutionising science and society.

Computing skills are vital across many physics-related careers. Computers control advanced instrumentation and simulations predicting the properties of the universe, from subatomic particles to the formation of galaxies.

This course offers a unique combination of units and projects blending programming, machine learning, data science and high-performance computing with fundamental concepts in physics, to produce a new kind of scientist – one with a firm foundation in physics, a sound appreciation of scientific computing and an understanding of what can be achieved by combining them.

Year one gives you a comprehensive grounding in physics, mathematics and programming, while year two focuses on the principles of physics with further emphasis on scientific coding. In your final year, you will undertake a major research project, supervised by staff with expertise in physics and computing. Our students' final-year projects address questions at the frontier of our research fields. The most successful have been published in scientific journals.

You will join a friendly department with a very active, award-winning student society. We encourage you to develop a broad range of skills, including the experimental, theoretical and computational skills needed for a career in research and industry. Our physics graduates have an excellent record of employment, a testament to the value that employers place on these skills.

If you have a fascination for physics and an appetite for scientific computing, you will enjoy this programme.

Our education master's degrees give you the opportunity to design a tailored program of study that suits your learning and professional needs. You will be able to specialise and receive an award in a particular disciplinary area.

This program focuses on inclusive practice. It is intended for teachers and other professionals working with students who are experiencing barriers to learning and participation or other special educational needs, whether in mainstream schools, special schools/units, colleges or early years settings.

It is designed to help you develop your knowledge, understanding and critical skills in analysing and evaluating current research, theory and practice. The program will provide you with opportunities to explore a range of areas, such as international developments in special/inclusive education, how to work with and involve parents and children, and the school's role in promoting inclusion. You will also look at a range of topics that arouse controversy and debate in the area of special needs.

The Inclusive Education pathway is designed for professionals with some experience, either in paid employment or as a volunteer.

This course gives you a thorough grounding in physics with astrophysics as a key component. It is led by an internationally renowned astrophysics research group and covers a broad range of contemporary astrophysics.

Study areas begin with a broad overview of all of the modern astrophysics followed by more advanced topics. These could include high-energy astrophysics, galaxy formation and evolution, general relativity and cosmology, and astrophysical fluids and plasmas.

Your final-year project will be with a member of the astrophysics research group. The group currently specialises in cosmology, the formation of clusters and galaxies, active galaxies, high-energy astrophysical processes, and the formation of extrasolar planets.

You will gain the skills needed for astronomical observations and analysis of data from international ground- and space-based observatories on this course. You will also have the opportunity to develop a physicist's broad range of transferable skills, including problem-solving, numeracy, teamwork and the ability to communicate complicated concepts.

You will join a friendly department with a very active, award-winning student society. This course prepares you for a research career in astrophysics but also gives you the flexible career options that a physics degree offers.

The Department of Philosophy has exceptional research strength in philosophy of physics, and very strong links with the University's School of Physics. The latest Philosophical Gourmet Report ranked Bristol as the fourth strongest department in the UK for Philosophy of Physics and the joint strongest for General Philosophy of Science. The department is home to the Centre for Science and Philosophy and regularly hosts major research projects in philosophy of science (see our research pages)..

This MA draws on these outstanding research strengths. It is intended both for students who wish to specialise in philosophy of physics at a higher level, and for individuals with a background in physics or mathematics who wish to make a transition to philosophy and foundations of physics.

The MA is an exciting programme consisting of taught components in philosophy and physics, as well as a dissertation which is an opportunity to work on an extended and original piece of research on a topic of your choosing, with guidance from a research supervisor.

This course is ideal for students interested in learning more about how to use numbers and data within geography. It provides training in practical and analytical skills, which will enhance your career prospects and provide you with a strong platform for postgraduate study. No prior knowledge of statistical techniques is required.

About two thirds of your studies will follow the single honours BSc Geography course, where you will acquire core knowledge in your subject. You will develop a wide range of geographical and scientific skills, gaining an advanced overview of both human and physical geography in year one, and choosing from a wide range of specialist units in years two and three.

The remaining third of your course will provide interdisciplinary training in quantitative methods. In year one of the quantitative pathway we discuss how numbers and data are used to tell convincing stories in the media and social research. We consider what is meant by segregation and how it can be mapped and measured. Year two offers practical classes in social statistics and applied data analysis, which will develop your skills in numeracy and analysis and enable you to undertake your own individual research project in an area of quantitative social science in year three.