Bachelor of Arts in Comparative Literatures and Cultures and French

at University of Bristol - Clifton Campus United Kingdom

In year one you will receive an overview of human and physical geography and develop a range of geographical and scientific skills. The remaining years are organised around specialist units from human and/or physical geography.

Physical geography units cover three broad areas: glaciology, hydrology and environmental change. Human geography units provide in-depth study of cultural, economic and social geography, emphasising the importance of theory and methods for analysing contemporary geographical problems and policies. Topics range from economic development and global politics to inequalities of health and contemporary social theory.

You will also develop skills in the use of specialised computer software, statistics and data collection in the field. Field trips and practical work are key components of the course. There are UK residential trips in year one and in year two there is typically an overseas field trip.

The skills that you acquire throughout your studies will be applied in a self-directed dissertation project in year three.

Econometrics is the application of statistical methods to data to estimate economic models. It is used by economists to verify or disprove theories and analyse the impacts of policies and events on the health of the economy. This course combines the study of economics and econometrics with a wide range of optional units.

Econometrics is a vital tool for economists because, unlike natural sciences, where controlled experiments are used to determine the effect of one thing on another, it is impossible to hold the economy constant while tinkering with a single variable. Econometrics provides the scientific means to overcome the issue using empirical observations.

Alongside additional mandatory modules in econometrics and the applied economics dissertation, you will be able to select from a wide range of optional modules from the Schools of Economics, Finance and Management during all three years of your 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 MSc conversion program is accredited by the British Psychological Society (BPS). It is designed for students from non-psychology backgrounds and provides training in the theories and methods of contemporary psychological science. After successfully completing the program, you will be eligible for the Graduate Basis for Chartered Membership of the BPS, which is a prerequisite for pursuing a career in psychology.

You will learn the theories of social, cognitive, developmental, biological and individual differences psychology, and develop the skills to understand and apply the research on which these theories are based. You will also learn how to design research studies and analyse data to provide valid answers to meaningful psychological research questions.

In your dissertation, you will combine these skills and knowledge to develop, carry out and report on a substantial piece of original, empirical research.

Teaching and dissertation supervision is undertaken by internationally renowned academics, who employ a variety of teaching and assessment methods (eg lectures, seminars, tutorials, laboratories, essays, reports, examinations). These methods help you to develop transferable skills, such as critical thinking, psychological and scientific literacy, research skills, teamwork, and oral and written communication skills, which are valued by employers across a wide range of industries. They also help to prepare you for further postgraduate study in psychology.

This course combines philosophy with the study of French, providing a valuable skill set ideally tailored to the increasingly globalised workplace.

In philosophy you will study units covering introduction to philosophy, logic, and realism and normativity. In your first year you will gain a grounding in the fundamentals of philosophy through two mandatory introductory units: one exploring issues in epistemology and metaphysics and the other concerning moral and political philosophy. You will also take a unit exploring critical thinking and logic.

In year two you complete your foundation in philosophy with a mandatory unit on realism and normativity and conduct more detailed study in topics ranging from ethics to the philosophy of language.

In the final year you may undertake an independent study unit on almost any topic in philosophy, writing an extended essay in consultation with a supervisor. Final-year taught units relate to the research interests of staff in areas ranging from global justice to philosophy of physics.

Do you enjoy both physics and computing? Our three-year BSc Physics with Scientific Computing combines study of the building blocks and forces of nature with training in the computational and data-science skills that are currently revolutionising science and society.

Computing skills are vital across many physics-related careers. Computers control advanced instrumentation and simulations predicting the properties of the universe, from subatomic particles to the formation of galaxies. This course offers a unique combination of units and projects blending programming, machine learning, data science and high-performance computing with fundamental concepts in physics to produce a new kind of scientist – one with a firm foundation in physics, a sound appreciation of scientific computing and an understanding of what can be achieved by combining them.

Year one gives you a comprehensive grounding in physics, mathematics and programming, while year two focuses on the principles of physics with further emphasis on scientific coding. In your final year you will undertake a research project or dissertation supervised by staff with expertise in physics and computing.

You will join a friendly department with a very active, award-winning student society. We encourage you to develop a broad range of skills, including the experimental, theoretical and computational skills needed for a career in research and industry. Our physics graduates have an excellent record of employment, a testament to the value that employers place on these skills.

If you have a fascination for physics and an appetite for scientific computing, you will enjoy this program.