Master of Engineering in Electrical and Electronic Engineering

at University of Bristol - Clifton Campus United Kingdom

The MA Chinese-English Audiovisual Translation is designed to prepare students to work in the fast-growing audiovisual sector of the language industries. The driver for industry growth is the ubiquitous availability of video content. Audiovisual translation accounts for up to a third of language services activity both in China and internationally.

The program focuses on technological competence and practical skills building in a range of audiovisual translation modes. The program also offers a broader grounding in key concepts and audiovisual industry dynamics. Students build their core skills through compulsory units in applied translation, CAT tools, translation theory and concepts in audiovisual translation. They can then take options in subtitling, videogame localization, introduction to specialised translation or translation and international film distribution. Students can do a research-based or a practice-based dissertation; the dissertation must be on a topic related to audiovisual translation.

Tutors include specialists in translation technologies, videogame localization and subtitling. Bristol is a UNESCO City of Film and film and media culture is very lively here. Bristol is also a hub for game developers and publishers. The training offered by the program is practical and industry-oriented in nature.

This course is ideal for students interested in learning more about how to use numbers and data within criminology. 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 Criminology course. By drawing on social harm perspectives criminology at Bristol examines conventionally defined crimes along with other problem activities or behaviours that may not be criminalised but still cause extensive harm to individuals and society. This provides you with a critical and informed understanding of crime and the criminal justice system, as well as wider social and economic questions.

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.

The MSc in Nuclear Science and Engineering will prepare you for a career in industry or academia by providing a thorough grounding in the science and engineering that underpins today’s nuclear energy systems. It combines the strengths of our science and engineering faculties with an established program of nationally recognised industrial research through the Bristol-Oxford Nuclear Research Centre. The MSc offers a unique multidisciplinary experience and is a key part of the South West Nuclear Hub.

It has been developed and delivered in partnership with industry, including a focus on nuclear professionalism. After completing the program, you will be familiar with the nuclear industry and its unique safety culture, which will prepare you to enter the industry or continue in academia.

The MSc offers numerous opportunities to collaborate with partner institutions, such as Institute Polytechnique de Grenoble (INP), École Nationale Supérieure d’Arts et Métiers (ENSAM), the Materials Ageing Institute (MAI) and Hitachi-GE Internships.

Jacobs and EDF Energy sponsor some of our research projects, giving students a bursary towards their study, as well as a three-month research project and a mentor.

This four-year MSci Physics course includes a year of gaining hands-on paid experience in the industry. A year spent in the industry can be a life-changing and rewarding experience. It can help you hone your skills in project management, teamwork and communication and provide invaluable insights into commercial pressures and real-world applied science.

Previously, our students have recently worked for The Culham Centre for Fusion Energy, Airbus, JP Morgan, Sharp, Rolls-Royce and the Science and Technology Facilities Council.

You will continue to study core physics via distance learning during your year in the industry in readiness for your final-year project or dissertation back at the University. Our students' final-year projects address questions at the frontier of our research fields and the most successful have been published in scientific journals.

Our physics graduates have an excellent record of employment, a testament to the value that employers place on the transferable skills that you gain on this course.

This four-year course provides a rigorous foundation in mathematics, allowing you to learn computational and statistical skills that are in high demand from top employers or giving you a strong basis for further study.

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, progressing from small-group tutorial teaching in year one to an independent statistics project in your final year.

This degree is accredited by the Royal Statistical Society (RSS) and you'll be automatically entitled to Graduate Statistician status on application to the RSS, provided you achieve at least a second class honours degree.

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.

This course is ideal for students interested in learning 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 practices, 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.

If you enjoy the satisfaction of applying real-world mathematical knowledge and are interested in a career in finance, this practical course will help you stand out to top employers.

Our lecturers are passionate about their subject, with modules informed by cutting-edge research; you'll learn statistical skills from leading mathematicians.

Shape your degree to suit your interests and pick from an extensive range of topics alongside your core units in Financial Mathematics and Financial Risk Management.

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 units that relate to statistics for use in finance, 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.