Bachelor of Science in Education Studies with Study Abroad

at University of Bristol - Clifton Campus United Kingdom

This joint honours degree combines a rigorous training in mathematics and computer science and its applications.

Mathematics is the language of the sciences and is of core value in an advanced understanding of computer science.

Computer science provides many of the key tools needed to solve the most important and pressing problems of the modern age.

The degree is ideal for someone looking to apply themselves in fields as varied as high finance, cryptography, quantum computing, algorithm design, machine learning and data science.

In your first year you will study essential, core components of mathematics and computer science, giving you a rigorous foundation for future years. Subsequently, you will have the opportunity to tailor your mathematics and computer science options so that you graduate with a balance of theoretical and practical skills that reflects your interests.

Data science is an exciting, emerging discipline that has a profound impact on society. The world produces increasing volumes of data every day and making sense of this data has the capacity to be transformative.Data science combines mathematical, statistical and computational approaches to enable knowledge discovery from data. Employability prospects in this field are very strong.

Bristol’s data science expertise means that you’ll be taught the sophisticated theory and methods needed to address modern data-analytic challenges by leading academics in this field. You will study units involving a blend of theoretical background and practical skills designed especially for this new course, including Mathematical Tools for Data Science, Advanced Linear Modelling and Classification, and Algorithms and Machine Learning.Our highly interdisciplinary program features links with the Bristol Institute for Scientific Computing (BriSC) as well as exposure to real-world problems from our industry partners.

With applications across a wide range of industries, studying data science will equip you with the knowledge and skills you need to fast-track your career. Pharmaceuticals, manufacturing, market research, social media, finance, sports and disaster management are all fields with high demand for data scientists.

If you’re interested in pursuing further research, our Centre for Doctoral Training, COMPASS, offers the opportunity to study computational and statistical science through a four-year PhD program.

This professionally accredited four-year course gives you the opportunity to study abroad for a year at one of our partner universities. It develops the attributes needed for a wide range of accounting, consulting and managerial career paths and aims to equip you, as a future organisational decision maker, with the ability to interpret, assess and communicate financial and non-financial data.

During the first two years you will develop sound knowledge and understanding of accounting practices, financial management techniques, and contemporary theories and practices of management. Your third year will be spent abroad, studying (in English) modules related to your degree.

You will return to Bristol for your final year to study the disciplines of accounting and management in more depth. Beyond the core units you can specialise by choosing from an evolving range of accounting and management units, for example Auditing, Financial Statement Analysis, Operations Management, or International Human Resource Management.

This course is available by transfer; you can apply to BSc Accounting and Management and register your interest to add a professional placement once you have joined us. Placement opportunities are based on first-year examination results and a successful application to a participating employer.

You can apply directly through UCAS or apply initially to BSc Accounting and Management and then apply to transfer in your second year. Places are allocated depending on first-year examination results and availability of spaces and subject areas at destination universities.

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.

This MSc covers a range of advanced topics related to wireless communications and communications-related signal processing, including associated enabling technologies. It provides an excellent opportunity to develop the skills required for careers in some of the most dynamic fields in wireless communications.

This program builds on the internationally recognised research strengths of the Communications Systems and Networks group within the Smart Internet Lab. This group conducts pioneering research in a number of key fundamental and experimental work areas, including spatial channel measurements and predictions, information theory, advanced wireless access (cellular and WLAN) and RF technologies. The group has well-equipped laboratories with state-of-the-art test and measurement equipment and first-class computational facilities.

The MSc provides in-depth training in design, analysis and management skills relevant to the theory and practice of the wireless communications industry.

This degree is accredited by the Institute of Engineering and Technology, one of only a handful of accredited programs in this field in the UK.

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.

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.