Mode:
Full time
Designed to aid in developing evidence based practice and develop advanced clinical skills to enable you to become a mono-specialist in fixed and removable Prosthodontics.
Mode:
Full time
Develop your theoretical understanding, practical experience of data science and analytics with a specific focus on the application of data analytics within government and public service.
Mode:
Part time distance learning
This programme is available for those who have completed the Postgraduate Diploma in Clinical Pharmacy.
Mode:
Full time
Our MSc Mathematics delves into the fascinating, challenging and elegant world of mathematics; taking your skillset and knowledge base from a BSc in Mathematics (or similar) towards a point where you can embark on original research in pure and applied mathematics.
Mode:
Full time
This programme is designed to equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions and become confident statistical analysts.
Mode:
Part time
A unique MSc degree aimed at those who wish to study in greater depth risk models, particularly for applications to financial markets, but also to other sectors.
Mode:
Part time blended learning
A key qualification for hospital pharmacy clinical career advancement, the programme enjoys funding from the NHS and is supported by Associate Course Directors across Wales and experienced work-based tutors at accredited hospital sites.
Mode:
Part time blended learning
A key qualification for hospital pharmacy clinical career advancement, the programme enjoys funding from the NHS and is supported by Associate Course Directors across Wales and experienced work-based tutors at accredited hospital sites.
Mode:
Part time distance learning
This part-time, distance learning course offers extensive knowledge and expertise relevant to those working in clinical trials. Its is also suitable for those in a senior role in clinical research in a pharmaceutical, biotechnology, device, contract research or site management company or the NHS.
Mode:
Full time
A unique MSc degree aimed at those who wish to study in greater depth risk models, particularly for applications to financial markets, but also to other sectors.
Mode:
Part time
An MSc degree for those looking to equip themselves with a range of in-demand skills for extracting and handling ‘big data’, discovering meaningful patterns from data and applying modelling tools to help businesses and government organisations make better decisions.
Mode:
Full time
Graduates from this course will have a breadth and depth of cancer-focused training that will make them credible candidates to start or further a career within the health sector or research establishments.
Mode:
Full time
Designed to aid in developing evidence based practice and develop advanced clinical skills to enable you to become a mono-specialist in Endodontology.
Mode:
Full time
Explore the science and clinical practice of implantology, and participate in the full spectrum of contemporary implant practice where all forms of bone and soft-tissue grafting are undertaken.
Mode:
Full time
You will gain the skills needed to perform as a competent specialist in Orthodontics, with focus on the clinical, theoretical and research areas required for provision of appropriate patient care.
Mode:
Full time
Acquire a range of in-demand skills for extracting and handling ‘big data’ and develop your practical skills through exposure to real-world problems and datasets.
Mode:
Part time
This is a jointly developed program with ONS to support the professional development of employees in a fast-growing data analytics world.
Mode:
Full time
The Programme provides in-depth training in this branch of biomedical science, including stem cell biology, biomaterials and tissue/organ engineering.
Mode:
Part time
This programme is designed to equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions and become confident statistical analysts.