Master of Science in Biochemistry

at University of Bristol - Clifton Campus United Kingdom

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.

This course provides full accreditation for the qualification of Chartered Engineer. Entry is by transfer from year two of the MEng Electrical and Electronic Engineering subject to satisfactory performance.

Years one and two provide a strong grounding in mathematics, computing, analogue and digital electronics, communications, electromagnetics, power electronics and control.

You will spend your third year abroad at an English-speaking partner university following a similar curriculum to the one taught in Bristol. Visit Global Opportunities to find out more about where you can study abroad.

In your fourth year you will have a choice of optional units and individual project topics, meaning you can focus on anything from electrical power systems to electronic communications.

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.

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.

Our teaching philosophy delivers a practical, hands-on and student-centred approach to all aspects of learning. The course will facilitate your journey from school leaver to independent critical thinker and anatomist.

Year one introduces the principles of comparative anatomy and the structure of the major mammalian body systems. Teaching involves some dissection and study of human and animal prosected cadaveric specimens.

Year two covers detailed medical and veterinary anatomy and allows you to specialise in medical or veterinary anatomy by dissection. Units in the second year emphasise clinical relevance and application throughout.

In year three you will follow a seminar-based course in which you will be actively involved in expert-led discussion of the latest anatomical research. The key focus of this year is an original research project aligned to your future ambitions. Our course in research skills will give you all the tools you need to complete your project.

A personal and professional development theme runs through the degree course and equips you with essential transferable skills for future employment.

If you love the challenge of thinking through a maths question and the satisfaction of having solved a difficult problem, but also appreciate the applications of mathematics in areas of physics and want access to the exciting and specialised subjects offered by the School of Physics, then this four-year, joint honours course can offer you both.

Your mathematics study will focus on the areas of applied mathematics that are most linked to physics, such as the mathematical modelling of physical problems, quantum mechanics and random matrix theory. You will also cover a range of topics in physics, such as special relativity, electromagnetism and superconductors.

This course is equally weighted towards sociology and philosophy and you will take units from both subjects throughout the course.

The sociology half of the degree places particular emphasis on sociological theory and its application to real-world concerns covering topics such as consumption, the environment, modern slavery, risk and food. Sociology also provides an opportunity to develop your research skills. The philosophy element offers you a thorough understanding of philosophy including logic and critical thinking, epistemology and metaphysics and a range of other units including ethics and political philosophy.

The wide-ranging, flexible curriculum provides progressive intellectual challenges and consolidates your experience throughout.

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.

Numerical models and satellite observation are fundamental to understanding environmental systems and change. The MSc in Environmental Modelling and Data Analysis will provide you with the skills to go on to a career in this exciting area. You will learn how models of environmental processes are developed and applied across a range of areas including climate change, flooding, biogeochemistry and glaciers. You will gain an appreciation of all aspects of environmental modelling ranging from the philosophy of model development, focussing on links to observations and uncertainty analysis, through to more practical aspects such as numerical approximation and algorithm development and testing.

The programme has close links to its twin MSc in Geographical Data Science and Spatial Analytics, which allows students to develop skills in Geographical Information Systems, analysis of satellite observations and Data Science techniques more widely. This will be complimented by hands-on teaching aimed at developing your coding skills in scientific programming and high-performance computing (with access to Bristol’s unique supercomputing facilities).

The MSc is taught by world-leading researchers from the School’s Hydrology, Glaciology and Earth System Modelling research groups. It is closely linked to the School's Geocomputation research strand, which hosts seminars and workshops aimed at consolidating links between environmental modelling and Data Science.