Master of Law in Labour Law and Corporate Governance

at University of Bristol - Clifton Campus United Kingdom

Our new MSci course is ideal if you want to continue in research or to stand out when applying for a PhD.

In your first year you will gain a broad understanding of biomedical science and take units in microbiology and diseases caused by microorganisms. In addition to learning about the immune system, you will also study pathology and biochemistry.

In year two you will study the cellular and molecular basis of human diseases caused by microorganisms, such as shigella and tuberculosis, and viruses. As well as learning about the immune response to a variety of infectious microbes, you will investigate how bacteria acquire antibiotic resistance. Our eBiolabs online resources are available to help you prepare for practical laboratory sessions in the first and second year.

You will take three infection units and an optional unit in your third year.

The additional, fourth year includes an extended research project and advanced research skills training with an emphasis on enterprise. You will plan projects, communicate with a variety of audiences, and learn to translate and commercialise research.

The School of Cellular and Molecular Medicine focuses on turning science into medicine and these courses aim to launch you into a research career with an emphasis on translational research.

The programmes at the University of Bristol have run since 2010 and are delivered in partnership with North Bristol NHS Trust, which includes a large regional neurosciences and major trauma centre. Our Clinical courses aim to engage and inspire clinicians to enhance their skills in Clinical Neuropsychology and support entry on to the British Psychological Society’s (BPS) Specialist Register of Clinical Neuropsychologists. This MSc is accredited by BPS Division of Neuropsychology and delivers the adult knowledge and practice component of the competency requirements for advanced training in clinical neuropsychology.

Around 80% of the taught content is delivered by practising clinicians, and we promote a scientist-practitioner approach and strongly advocate for neuropsychological research to be relevant and applicable to patient care and for clinical practice to be underpinned by a thorough and on-going engagement with scientific research

In order to accrue relevant clinical experience, it is your responsibility to secure both employment within a neuropsychology service and supervision for your work when enrolled on the course. We provide additional oversight and support towards developing your portfolio and ensuring your experience demonstrates the required competencies for entry to the SRCN. Support includes feedback on two written case reports and a practice viva experience. This support is provided by clinicians with experience of conducting portfolio vivas for the Qualification in Clinical Neuropsychology (QiCN).

This course enables you to pursue a career in the accounting profession with the benefit of a year in industry. It provides access to subjects accredited by professional accountancy bodies, including the Chartered Institute of Management Accountants (CIMA), the Institute of Chartered Accountants in England and Wales (ICAEW) and the Association of Chartered Certified Accountants (ACCA).

Alternatively, you may pursue a career in finance or investment banking through our finance-oriented courses.

This is a four-year course underpinned by theory and practice. It aims to foster collaboration and creative thinking in the use of case studies. 

During your placement year you will undertake a paid placement within the accounting function of a large organisation or within an accountancy firm. Previously, students have secured roles at PwC, Grant Thornton, Hazlewoods, and Milsted Langdon. 

Places on the course are allocated on merit depending on first-year examination results and an offer of employment for your placement from a qualifying employer. You can work towards your professional accreditation with ICAEW during your placement year. 

You can also benefit from a range of specialist employability services from the faculty’s Professional Liaison Network.

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.

The program is well balanced, covering a wide range of topics in engineering science and engineering practice.

Our curriculum embeds a diverse set of professional engineering and management skills spanning four core thematic areas:

• Design and manufacture
• Dynamics and control
• Materials
• Thermofluids.

Years one and two are common to all mechanical engineering students and cover the fundamental principles of mechanical engineering. Teaching is via lectures, laboratories, design classes and short projects in modelling and manufacturing.

In your third year, you will apply the principles learned to real, complex engineering applications. A major element is the open-ended individual research project, which requires independent and creative thinking.

The MSc in Medical Statistics and Data Science will enable you to engage with the complex statistical and data science healthcare challenges facing the global community, providing high-quality training in statistical and computational methods that are applicable to low-, middle- and high-income settings.

As a medical statistician you will play a vital role in improving the health of populations by conducting statistical research (such as designing clinical trials and epidemiological studies, analysing data and interpreting results) to advance medical knowledge, track or prevent diseases and improve medications and treatments.  

Challenges have arisen over the last decade in the increasing availability of enormous electronic datasets related to human health and healthcare. Data science combines mathematics, statistics and programming tools to enable analysis of these very large and diverse datasets.  

You will be trained in the theory and practice of cutting-edge methods in medical statistics and data science (including causal inference, machine learning and data mining). Teaching will focus on building strong quantitative and computational skills, and effective interpretation and communication of research findings. All concepts, skills and tools are illustrated using real-life case studies and health-related data. You will gain professional skills - such as teamwork, presentation skills and writing for publication - essential for a successful medical statistician and data scientist.

This course immerses you in groundbreaking research and gives you the opportunity to contribute to work that could have a significant impact on future generations. It offers a breadth of topics, allowing you to choose your specialism while developing your knowledge and research skills.

In your first two years you will supplement your study of biochemistry with molecular biology and biotechnology units. Recent options have included Fundamentals of Molecular Microbiology, Disease and Defence, and Infection and Immunity.

Your third year introduces specialist, cutting-edge aspects of biochemistry, such as synthetic biology, DNA-protein interactions, and protein science in therapy and technology.

Your final-year research project will involve collaboration with internationally renowned scientists on pioneering work. Previous students have collaborated on the development of a technique for the manufacture of red blood cells from human stem cells, and on the molecular modification of an antibiotic, increasing the range of infections it can treat.

We prepare you for your future career with subject-specific employability and enterprise sessions and the chance to gain additional research experience in a summer studentship.

Our education master's degrees give you the opportunity to design a tailored programme of study that suits your cultural and learning needs. You will be able to specialise and receive an award in a particular disciplinary area.

This pathway is designed for UK and international mathematics teachers and other professionals working in mathematics education, from primary schools to post-16 education. You will be supported in integrating the theory and practice of teaching and learning mathematics by:

• Being an active researcher of your own and others' practice, including reworking your own practice;
• Carrying out small-scale research projects, one of which can act as a pilot project for the major work of your dissertation;
• Engaging with research literature, especially the current journals and activity of the International Group for the Psychology of Mathematics Education;
• Engaging with new developments in teaching and learning mathematics;
• Updating your mathematics knowledge;
• Writing assignments that show the emergence of a theoretical frame, presenting a literature search and developing ideas from a seminar;
• Becoming confident with presentation, argumentation, research and ICT skills.