Bachelor of Science in Accounting and Management with Professional Placement

at University of Bristol - Clifton Campus United Kingdom

To thrive in a disrupted world you will need creativity as well as commercial acumen. Come to the multi-award-winning home of innovative, design-led, creative business education and transform your prospects.

The MSc Innovation and Entrepreneurship will teach you how to apply your existing undergraduate degree knowledge in real-world business challenges appropriate to both starting and joining innovative organisations, including:

• Starting up your career and ideas in a professional supported environment
• Undertaking applied commercial projects in collaborative teams
• Learning human-centred techniques for designing and developing ideas of real value

We welcome students from any discipline who are thinking about starting up their own venture or building a career adding innovative value to existing organisations and companies.

This programme shares much of its teaching with our other MSc and MA Innovation and Entrepreneurship programmes but maintains a broad perspective allowing you to adapt your focus over time.

This course will develop the high-level skills and critical competencies needed for successful organisational innovation and entrepreneurship, through a largely practice-orientated educational approach based on collaborative teamwork across disciplines and cultures.

During the programme you get opportunities to work alongside  innovators, entrepreneurs, and their businesses to develop a deep understanding of opportunities and challenges.

From crowdfunding to cryptocurrencies, and from automated trading to Alipay, recent innovations in financial technologies have revolutionised the way we spend, save, borrow, and invest. Companies in the financial services sector are now able to intelligently harness data to provide tailored products and services; big technology corporations offer financial services to customers through their social media accounts; and disruptive technology start-ups have quickly scaled to challenge the dominance of traditional banks by developing new forms of finance from the ground up.

This new MSc offers an opportunity to join the financial technology revolution. Students will learn the key design features of a number of financial technology applications and will develop skills to implement, assess, and engineer these technologies. Students will also develop an understanding of the computational, statistical, and machine learning principles necessary for insightful large-scale data analysis used in data-driven finance.

Hosted by a world-leading engineering faculty, this is a technology-focused MSc and not a finance or accounting programme that is traditionally provided by a business school. Therefore, we expect applicants to have a strong background in computer science, engineering, or a numerate science; a background in economics or finance is not expected or required.

This MSc is likely to appeal to applicants looking to start or advance their careers in data-driven finance and technology. The UK is a world leader in financial technology and the Bristol region has the largest fintech ecosystem outside of London. The programme has been co-designed with industrial partners and will offer opportunities to engage with industry on real-world commercial projects.

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 immerses you in groundbreaking research and gives you the opportunity to contribute to work that could have a significant impact on future generations. It offers a breadth of topics, allowing you to choose your specialism while developing your knowledge and research skills.

In your first two years you will supplement your study of biochemistry with molecular biology and biotechnology units. Recent options have included Fundamentals of Molecular Microbiology, Disease and Defence, and Infection and Immunity.

Your third year introduces specialist, cutting-edge aspects of biochemistry, such as synthetic biology, DNA-protein interactions, and protein science in therapy and technology.

Your final-year research project will involve collaboration with internationally renowned scientists on pioneering work. Previous students have collaborated on the development of a technique for the manufacture of red blood cells from human stem cells, and on the molecular modification of an antibiotic, increasing the range of infections it can treat.

We prepare you for your future career with subject-specific employability and enterprise sessions and the chance to gain additional research experience in a summer studentship.

This course is ideal for students interested in learning more about how to use numbers and data within politics. 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 Politics and International Relations. You will study the politics of individual countries and governments and the relationships between countries, communities and individuals. You will become familiar with different views and methods of analysis, learning to apply and evaluate them.

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.

Your third year abroad is an exciting opportunity to experience and study a different society and culture. Visit Global Opportunities to find out more about where you can study abroad.

You will undertake your own individual research project in an area of quantitative social science during your fourth year back in Bristol.

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.