Master of Science in Wireless Communications and Signal Processing

at University of Bristol - Clifton Campus United Kingdom

The programme provides intensive training in the neurosciences as they relate to the physiologic function and behaviour of the organism. It builds on the broad research strengths of recognised scientists, particularly in basic and clinical neuroscience, molecular and cell biology, neuroendocrinology, behaviour, neurodegeneration and stress. Guest lecturers from other universities bring their specialist and advanced knowledge to the programme.

Throughout the programme, basic principles will be taught and illustrated in the context of various brain diseases, including psychiatric and neurodegenerative disorders. A practical and a research project will give you valuable experience in experimental neuroscience, while tutorials and presentations will also help to develop your communication skills.

The MSc will appeal to graduates looking to progress to PhD study as well as those with medical training who want to diversify into research. You could also move on to a career in industry, the health service, science communication or clinical trials coordination.

This course is ideal for students interested in learning more about how to use numbers and data within sociology. 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 Sociology course. You will study society’s structures, forms of action and cultural arrangements and understand changes in social life. You will gain a thorough grounding in sociology, as well as opportunities to specialise in new areas of research conducted by academics at the forefront of the discipline.

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.

In your fourth year we offer training in more advanced quantitative methods suitable for postgraduate research, while continuing to develop expertise and specialist knowledge in sociology.

You will also have the opportunity to spend half a year studying abroad at a partner university. Visit Global Opportunities to find out more about where you can study abroad.

Learn computational and statistical skills that are in high demand from top employers or gain a strong basis for further study – this three-year course provides a rigorous foundation in mathematics.

Our lecturers are passionate about their subject, with modules informed by cutting-edge research. You can shape your degree to suit your interests; you could discover units like Complex Networks and Probability alongside your core modules, or choose optional vocational units like Financial Risk Management or Maths in Schools to prepare you for a particular career.

The curriculum currently includes opportunities to learn the statistical computing environment R, the Bayesian approach to estimation and prediction, and how to design powerful tests for statistical hypotheses.

The first year provides a broad background in pure, applied and statistical mathematics via a range of compulsory units. You'll cover material in lectures and small-group tutorials, with the freedom to explore a range of topics in collaboration with your personal tutor and fellow students.

From year two you will focus more on statistics and probability, although there is still scope to take some units from other areas.

As you move through the course you will gain academic independence, moving from small-group tutorial teaching in year one to an optional, independent project in your final year.

The next frontier in robotics will take inspiration from biology to design robots that are soft, smart, green, and social. From microrobots for cancer treatment, to swarms powering warehouses, soft grippers for manufacturing, and new material interfaces for prosthetics, biorobots will provide solutions to today’s global challenges. State-of-the-art robots will in turn power scientific discovery, allowing for the study of living systems in their natural habitats from robots automating experiments in the lab, to artificial fish studying pollution in the deep sea.

This programme brings together life scientists and engineers in an interdisciplinary environment where solutions are co-created with stakeholders in mind. For the life scientists, this will open new horizons powered by Robotics and AI, skills in high demand in today’s job market. For the engineers, this will go beyond a typical robotics training, towards reinventing the way robots are designed and used with bioinspiration at heart.

This unique combination of biology and engineering will develop core professional skills including working across disciplines and responsible open-ended innovation. The programme centres around a common core in fundamental robotics and life sciences, followed by dedicated taught and project-based biorobotics units that will walk you through latest research and applications, with a hands on understanding of how to build these systems yourself, and demonstrations of how they can be used for good.

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.

You will learn about the fundamental building blocks and forces of nature and how quantum physics and relativity help us understand the world around us.

Year one gives you a comprehensive grounding in physics and mathematics, and year two focuses on the principles of physics. Flexibility and choice are key features of a Bristol Physics degree. You are usually able to transfer between courses in the first two years, and a range of options in the final year means you can specialise in your chosen field or take a more general approach.

Your third year includes a major project or dissertation. Project options include the Physics Education scheme, centred on teaching in a school, and the Industrial Group Project, based on a real problem set by industrial partners. Recent partners have included Sellafield, Bristol Zoo, Siemens and The Fat Duck restaurant.

You will join a friendly department with a very active, award-winning student society. We provide physics-specific employability sessions and encourage you to develop a broad range of transferable skills, including problem-solving and the ability to communicate complicated concepts. Our graduates have an excellent record of employment, a testament to the value that employers place on these skills.

This joint honours course is offered by the Department of Computer Science and Department of Electrical and Electronic Engineering and is designed to meet the needs of the computing and electronics industries.

You will understand how to design and build hardware and software for all types of computer systems in order to implement applications ranging from medical equipment and autonomous vehicles to finance systems.

Your first two years cover the foundations of computing and electronics, equipping you to work confidently in software and hardware. Year three includes a major project, either based in industry or industry inspired and undertaken at the University. You can tailor your fourth year to suit your interests by choosing an individual project and optional units.

The MEng course provides full accreditation for the qualification of Chartered Engineer. The first two years are common with the BEng Computer Science and Electronics and transfer between courses is possible until the end of year two subject to satisfactory performance.

The Bristol area is home to a range of thriving and world-leading semiconductor design companies who contribute to our curriculum design as well as hosting industry-based projects.