Mode:
Full time
The MSc Data Intensive Astrophysics has been designed to provide you with the skills and knowledge needed for a career in a range of areas including academic research in astronomy or astrophysics as well technical, development and engineering positions in related scientific fields.
Mode:
Full time
Taught topics reflect our research expertise in Quantum Physics, Photonics, Theoretical and Computational analysis, Sensors and Materials as well as Astrophysics.
Mode:
Part time distance learning
This is an interprofessional, distance learning course, intended for healthcare professionals who want to specialise in the field of surgical and perioperative care.
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 distance learning
Mode:
Part time distance learning
This programme is designed for doctors, pharmacists and other scientists who wish to develop a broad understanding of the principles underlying medical toxicology.
Mode:
Full time
The MSc Degree in Pain Management is an inter-professional, e-Learning programme intended for health care professionals who want to specialise in the field of pain management.
Mode:
Full time
The MSc Compound Semiconductor Physics has been designed to deliver thorough training and practical experience in compound semiconductor theory, fabrication and applications, and integration with silicon technology.
Mode:
Full time
Our programme will appeal to those wishing to explore the issues fundamental to effective health professions education in a dynamic, stimulating and supportive setting.
Mode:
Full time
Taught topics reflect our world-leading strengths in theoretical, observational and instrumentational research and include Cosmology, Advanced General Relativity and Gravitational Waves, Instrumentation for Astronomy and Techniques in Astrophysics.
Mode:
Full time
The Gravitational Wave Physics MSc provides broad and comprehensive training in both theory and experiment in gravitational wave (GW) physics and astronomy.
Mode:
Part time
Our programme will appeal to those wishing to explore the issues fundamental to effective health professions education in a dynamic, stimulating and supportive setting.
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
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
The aim of this programme is to provide individuals with a platform to explore, analyse and interpret contemporary biological data. This course offers Masters level instruction in Bioinformatics and Genetic Epidemiology with a focus in genetic epidemiology.
Mode:
Part time blended learning
This multidisciplinary programme is designed for healthcare professionals wishing to advance their knowledge of the management of patients with non-curable and terminal illness.
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.
Mode:
Part time distance learning
The MSc Diabetes Practice aims to equip healthcare professionals, who have a special interest in diabetes, with an advanced clinical knowledge of diabetes and diabetes-related issues as they present in practice.
Mode:
Full time
The MSc in Data-Intensive Physics has been designed to provide you with the skills and knowledge needed for a career in a range of areas including academic research in physics as well as technical, development and engineering positions in related scientific fields.
Mode:
Full time
The aim of this programme is to provide individuals with a platform to explore, analyse and interpret contemporary biological data. This course offers Masters level instruction in Bioinformatics and Genetic Epidemiology with a focus in genetic epidemiology.
