Bachelor of Arts in English

at University of Bristol - Clifton Campus United Kingdom

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.

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.

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.

At a critical time in history, our LLM in Law and Globalisation provides you with an opportunity to engage in an exciting area of law that is complex and constantly evolving – and graduate to meet a growing demand for expert lawyers that can embrace the challenges and opportunities of an increasingly interdependent and turbulent world.

Our LLM programmes, including the LLM in Law and Globalisation, are well-respected by leading law firms*, international businesses, financial and non-governmental organisations. This programme offers in-depth, intensive study of international legal frameworks, trade, employment and human rights, from practical, theoretical, economic and socio-political perspectives.

The intellectually demanding, research-rich curriculum they deliver makes our graduates stand out, able to demonstrate excellent legal, analytical and research skills and empowered to pursue rewarding careers in a variety of sectors. 

This course provides a thorough grounding in the fundamentals of computer science. There are extensive opportunities to specialise in a range of advanced areas while gaining skills in system development and enterprise. We review our curriculum constantly to ensure it remains at the leading edge.

Core ideas are introduced in years one and two. You will cover the principles of algorithms and programming, covering three key paradigms: imperative, functional and object-oriented.

You will study mathematics and statistics underpinning modern computer science; how a modern computer architecture is organised; concurrent systems and networks; and foundations of human-computer interaction, cybersecurity and theoretical and data-driven computer science.

A key component of year two is the software group project in which you work in a team to develop an application for a real-world client with help from an industrial mentor.

In your final two years you will choose from a wide range of optional units in order to specialise in selected advanced areas of computer science. You will undertake a significant group project working with industrial mentors. You will also conduct an individual project, co-created with a supervising member of staff, with opportunities to work with industrial and research partners.