Master of Science in Sociology with Quantitative Research Methods

at University of Bristol - Clifton Campus United Kingdom

BSc Computer Science provides a thorough grounding in the fundamentals of computer science combined with opportunities to specialise in a range of advanced areas. We constantly review our curriculum 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 also study the 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 year you will choose from a range of optional units in order to specialise in selected advanced areas of computer science. You will also undertake an individual project, co-created with a supervising member of staff, with opportunities to work with industrial and research partners.

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 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.

Our BSc Psychology is recognised by the British Psychological Society as qualification for graduate registration and our course is specifically designed to meet its requirements.

In the first year you will study psychology, research methods (laboratory classes and statistics) and an open unit in another school.

In the second year you will focus on research methods and units in the psychology core curriculum.

The final year of the degree is entirely option based, allowing you to choose from a range of lecture and seminar units that you will undertake together with a research project.

One of the broadest engineering disciplines, electrical and electronic engineering uses cutting-edge technology to address some of the major concerns of the modern world. There is growing demand for skilled graduates to work in industries such as consumer electronics, alternative energy and transport, medical engineering and communications.

Years one and two provide a strong grounding in mathematics, computing, analogue and digital electronics, communications, electromagnetics, power electronics and control. In the third and fourth years you will choose from a range of optional units, meaning you can focus on anything from electrical power systems to electronic communications.

Year three includes a group design project and in the fourth year you will undertake an individual research project.

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

Through our close collaboration with industry you will benefit from excellent employment prospects. Recent graduate employers include Intel, BBC, Dyson, Jaguar Land Rover, Siemens, Hewlett-Packard, EDF Energy and many others.

There is strong industrial demand for skilled engineers able to span the mechanical and electrical engineering disciplines. This degree gives you the fundamental knowledge and tools to satisfy this demand in a unique way.

During this course, you will study units from the mechanical and electrical disciplines along with the following themes: design and integration of electro-mechanical systems; energy conversion and actuation systems; embedded systems and control; power electronics and electric drives; and energy management.

Years one and two offer a grounding in mathematics, thermal management, dynamics and control, computing, electrical energy technologies, and analogue and digital electronics. Laboratory work and case studies will draw together these interdisciplinary foundations.

In the third year, you will choose from a range of options and engage in group design projects and individual research projects. This allows you to focus on anything from soft robotics and intelligent adaptable power systems to efficient, clean propulsion technologies.

Mechanical and electrical engineering graduates will be able to innovate technologies in a range of areas. These might include:

• The power flow of renewable energy microgrids – from the wind to the electric generator and the power network to the user in the home;
• Robotics used in healthcare and manufacturing – by exploring the integration of mechanical and electrical elements to deliver new capabilities;
• The complete power train of future electric vehicles – from the energy storage system, through to the electric motors, to the mechanical drivetrain and traction system;
• Battery-free technology that harvests background energy, allowing sensors to operate in previously inaccessible and far-reaching locations.

Data science is an exciting emerging discipline having 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. Career 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.