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Masters Degrees (Imaging Informatics)

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The programme disseminates imaging knowledge, skills and understanding, in order to enable effective and efficient use of imaging, clinically, in research and in industry. Read more

The programme disseminates imaging knowledge, skills and understanding, in order to enable effective and efficient use of imaging, clinically, in research and in industry.

Our flexible, intermittent, part-time, online distance learning (OLDL) programme aims to:

  • provide an understanding of imaging theory, techniques, analysis and applications
  • develop research planning and designing skills, incorporating imaging
  • enable interpretation and analysis of relevant imaging data
  • relate imaging research to clinical applications

Online learning

Access world class teaching at the University of Edinburgh, while maintaining your local professional & personal commitments where you live, thereby keeping down costs by not being resident in Edinburgh.

Our online students not only have access to Edinburgh’s excellent resources, but also become part of a supportive online community, bringing together students and tutors from around the world.

Programme structure

You may choose to study to Certificate, Diploma or Masters level.

Find out more about the compulsory and optional courses in this degree programme. We publish the latest available information for this programme. Please note that this may be for a previous academic year.

You may take up to 30 credits per semester, 60 credits per year.

Postgraduate Professional Development (PPD) is aimed at working professionals who want to advance their knowledge through a postgraduate-level course(s), without the time or financial commitment of a full Masters, Postgraduate Diploma or Postgraduate Certificate.

You may take a maximum of 50 credits worth of courses over two years through our PPD scheme. We offer online credit-bearing courses which run for 11 weeks at a time. These lead to a University of Edinburgh postgraduate award of academic credit. Alternatively, after one year of taking courses you can choose to transfer your credits and continue on to studying towards a higher award on a Masters, Postgraduate Diploma or Postgraduate Certificate programme.

Although PPD courses have various start dates throughout a year you may only start a Masters, Postgraduate Diploma or Postgraduate Certificate programme in the month of September. Any time spent studying PPD will be deducted from the amount of time you will have left to complete a Masters, Postgraduate Diploma or Postgraduate Certificate programme.

  • Online Learning options. Please note that individual elective courses will only run if there is a minimum of 4 students taking the course.

Learning outcomes

  • Describe the full range of imaging theory, techniques, analysis and applications.
  • Discuss how imaging is used to investigate both normal and abnormal processes and functions (clinically and in research).
  • Feel confident to undertake well designed, methodologically sound and practical research using imaging.
  • Create a study design methodology.
  • Analyse results and use statistics as applied to imaging studies.
  • Be aware of health and safety regulations and legislation related to imaging.
  • Translate from basic imaging research to the clinical arena.
  • Be empowered to take a critical view of existing research particularly with an awareness of reproducibility and reliability of techniques, sources of bias in research and clinically.
  • Demonstrate innovation before discussing and presenting their work to their peers.
  • Development of skills in grant and research proposal formulation.
  • Develop the tools to initiate and execute research autonomously and produce publishable research summaries.
  • Develop good practice in communication and collaboration using modern online communication tools.
  • Acquire imaging knowledge to engage with new developments.

Career opportunities

Clinical graduates will exit the programme with improved clinical image management skills, and will also be better able to advise companies and businesses which develop tools and techniques for their specialties, where imaging is required. For pre-clinically focused students, an imaging skill set expands academic possibilities and is more likely to assist with translational techniques necessary to bridge the preclinical and clinical sciences.

The degree will also be attractive as a preliminary qualification before undertaking career training in hospital Medical Physics (for physicists and engineers), as well as a preliminary qualification before taking a PhD or research scientist post involving medical physics, medical imaging, biomechanics in academia or industry.



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Programme Aims. Read more

Programme Aims

This award is offered within the Postgraduate Scheme in Health Technology, which aims to provide professionals in Medical Imaging, Radiotherapy, Medical Laboratory Science, Health Technology, as well as others interested in health technology, with an opportunity to develop advanced levels of knowledge and skills.

The award in Medical Imaging and Radiation Science (MIRS) is specially designed for professionals in medical imaging and radiotherapy and has the following aims.

A. Advancement in Knowledge and Skill

  • ​To provide professionals in Medical Imaging and Radiotherapy, as well as others interested in health technology, with the opportunity to develop advanced levels of knowledge and skills;
  • To develop specialists in their respective professional disciplines and enhance their career paths;
  • To broaden students' exposure to a wider field of health science and technology to enable them to cope with the ever-changing demands of work;
  • To provide a laboratory environment for testing problems encountered at work;
  • To equip students with an advanced knowledge base in a chosen area of specialisation in medical imaging or radiotherapy to enable them to meet the changing needs of their disciplines and contribute to the development of medical imaging or radiation oncology practice in Hong Kong; and
  • To develop critical and analytical abilities and skills in the areas of specialisation that are relevant to the professional discipline to improve professional competence.

B. Professional Development

  • ​To develop students' ability in critical analysis and evaluation in their professional practices;
  • To cultivate within healthcare professionals the qualities and attributes that are expected of them;
  • To acquire a higher level of awareness and reflection within the profession and the healthcare industry to improve the quality of healthcare services; and
  • To develop students' ability to assume a managerial level of practice.

C. Evidence-based Practice

  • ​To equip students with the necessary skill in research to enable them to perform evidence-based practice in the delivery of healthcare service and industry.

D. Personal Development

  • ​To provide channels through which practising professionals can continuously develop themselves while at work; and
  • To allow graduates to develop themselves further after graduation.

Characteristics

The Medical Imaging and Radiation Science award offers channels for specialisation and the broadening of knowledge for professionals in medical imaging and radiotherapy. It will appeal to students who are eager to become specialists or managers in their areas of practice. Clinical experience and practice in medical imaging and radiotherapy are integrated into the curriculum to encourage more reflective observation and active experimentation.

Programme Structure

To be eligible for the MSc in Medical Imaging and Radiation Science (MScMIRS), students are required to complete 30 credits:

  • 2 Compulsory Subjects (6 credits)
  • 3 Core Subjects (9 credits)
  • 5 Elective Subjects (15 credits)

Apart from the award of MScMIRS, students can choose to graduate with one of the following specialisms:

  • MSc in Medical Imaging and Radiation Science (Computed Tomography)
  • MSc in Medical Imaging and Radiation Science (Magnetic Resonance Imaging)
  • MSc in Medical Imaging and Radiation Science (Ultrasonography)

To be eligible for the specialism concerned, students should complete 2 Compulsory Subjects (6 credits), a Dissertation (9 credits) related to that specialism, a specialism-related Specialty Subject (3 credits), a Clinical Practicum (3 credits) and 3 Elective Subjects (9 credits).

 Compulsory Subjects

  • Research Methods & Biostatistics
  • ​Multiplanar Anatomy

Core Subjects

  • Advanced Radiotherapy Planning & Dosimetry
  • Advanced Radiation Protection
  • Advanced Technology & Clinical Application in Computed Tomography *
  • Advanced Technology & Clinical Application in Magnetic Resonance Imaging *
  • Advanced Technology & Clinical Application in Nuclear Medicine Imaging
  • Advanced Topics in Health Technology
  • Advanced Ultrasonography *
  • Clinical Practicum (CT/MRI/US)
  • Dissertation
  • Digital Imaging & PACS
  • Imaging Pathology

 * Specialty Subject

Elective Subjects

  • Bioinformatics in Health Sciences
  • Professional Development in Infection Control Practice


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The fields of graphics, vision and imaging increasingly rely on one another. Read more

The fields of graphics, vision and imaging increasingly rely on one another. This unique and timely MSc provides training in computer graphics, geometry processing, virtual reality, machine vision and imaging technology from world-leading experts, enabling students to specialise in any of these areas and gain a grounding in the others.

About this degree

Graduates will understand the basic mathematical principles underlying the development and application of new techniques in computer graphics and computer vision and will be aware of the range of algorithms and approaches available, and be able to design, develop and evaluate algorithms and methods for new problems, emerging technologies and applications.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits).

Core modules

  • Computer Graphics (15 credits)
  • Image Processing (15 credits)
  • Mathematical Methods, Algorithmics and Implementations (15 credits)
  • Research Methods and Reading (15 credits)

Optional modules

Students must choose a minimum of 15 and a maximum of 30 credits from Group One options. Students must choose a minimum of 30 and a maximum of 45 credits from Group Two options.

Group One Options (15 to 30 credits)

  • Machine Vision (15 credits)
  • Virtual Environments (15 credits)

Group Two Options (30 to 45 credits)

  • Acquisition and Processing of 3D Geometry (15 credits)
  • Computational Modelling for Biomedical Imaging (15 credits)
  • Computational Photography and Capture (15 credits)
  • Geometry of Images (15 credits)
  • Graphical Models (15 credits)
  • Information Processing in Medical Imaging (15 credits)
  • Introduction to Machine Learning (15 credits)
  • Inverse Problems in Imaging (15 credits)
  • Numerical Optimisation (15 credits)
  • Robotic Sensing, Manipulation and Interaction (15 credits)
  • Robotic Vision and Navigation (15 credits)

Please note: the availability and delivery of optional modules may vary, depending on your selection.

Dissertation/report

All students undertake an independent research project related to a problem of industrial interest or on a topic near the leading edge of research, which culminates in a 60–80 page dissertation.

Teaching and learning

The programme is delivered through a combination of lectures and tutorials. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and a substantial individual project.

Further information on modules and degree structure is available on the department website: Computer Graphics, Vision and Imaging MSc

Careers

Graduates are ready for employment in a wide range of high-technology companies and will be able to contribute to maintaining and enhancing the UK's position in these important and expanding areas. The MSc provides graduates with the up-to-date technical skills required to support a wealth of research and development opportunities in broad areas of computer science and engineering, such as multimedia applications, medicine, architecture, film animation and computer games. Our market research shows that the leading companies in these areas demand the deep technical knowledge that this programme provides. Graduates have found positions at global companies such as Disney, Sony and Siemens. Others have gone on to PhD programmes at leading universities worldwide.

Recent career destinations for this degree

  • Business Analyst, Adobe
  • Software Engineer, FactSet Research Systems
  • MRes in Engineering, Imperial College London
  • Software Engineer, Sengtian Software
  • PhD in Computer Graphics, UCL

Employability

UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).

Our graduates have some of the highest employment rates of any university in the UK. This degree programme also provides a foundation for further PhD study or industrial research.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

UCL Computer Science contains some of the world's leading researchers in computer graphics, geometry processing, computer vision and virtual environments.

Research activities include geometric acquisition and 3D fabrication, real-time photo-realistic rendering, mixed and augmented reality, face recognition, content-based image-database search, video-texture modelling, depth perception in stereo vision, colour imaging for industrial inspection, mapping brain function and connectivity and tracking for SLAM (simultaneous localisation and mapping).

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Computer Science

96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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The School of Computer Science and Statistics and the School of Medicine offer a joint MSc programme in Health Informatics. Health Informatics is broadly concerned with the application of Information Technology in the health sector. Read more
The School of Computer Science and Statistics and the School of Medicine offer a joint MSc programme in Health Informatics. Health Informatics is broadly concerned with the application of Information Technology in the health sector. It is a truly interdisciplinary field in which medicine, computer science, management science, statistics and engineering are all represented.

The main aim of the MSc programme is to give students a broad understanding of both the principles underlying the field of health informatics and of its practical applications. The course is intended for suitably qualified applicants currently working or aspiring to work in a position in the health sector which requires the efficient and cost effective application of information technology. The MSc course runs over two academic years (September - June) on a part-time basis, on Friday afternoons and Saturday mornings to facilitate those in full-time employment. The first year incorporates both taught and practical components with a strong emphasis on practical team-based continuous assessment.

Students take a total of seven modules from the following: introduction to health informatics; introduction to computing (for those from a health science background); introduction to health sciences (for those from a computing background); health information systems; clinical decision support systems; biomedical imaging; human computer interaction in healthcare; health informatics research paper and bioinformatics. Not all modules will be offered each year. Year 2 students receive instruction in research methodology and undertake an independent research project.

This course has been co-funded under the National Development Plan (Graduate Skills Conversion Programme) for EU fee paying students.

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The M.Sc. in Medical Physics is a full time course which aims to equip you for a career as a scientist in medicine. You will be given the basic knowledge of the subject area and some limited training. Read more
The M.Sc. in Medical Physics is a full time course which aims to equip you for a career as a scientist in medicine. You will be given the basic knowledge of the subject area and some limited training. The course consists of an intense program of lectures and workshops, followed by a short project and dissertation. Extensive use is made of the electronic learning environment "Blackboard" as used by NUI Galway. The course has been accredited by the Institute of Physics and Engineering in Medicine (UK).

Syllabus Outline. (with ECTS weighting)
Human Gross Anatomy (5 ECTS)
The cell, basic tissues, nervous system, nerves and muscle, bone and cartilage, blood, cardiovascular system, respiratory system, gastrointestinal tract, nutrition, genital system, urinary system, eye and vision, ear, hearing and balance, upper limb – hand, lower limb – foot, back and vertebral column, embryology, teratology, anthropometrics; static and dynamic anthropometrics data, anthropometric dimensions, clearance and reach and range of movement, method of limits, mathematics modelling.

Human Body Function (5 ECTS)
Biological Molecules and their functions. Body composition. Cell physiology. Cell membranes and membrane transport. Cell electrical potentials. Nerve function – nerve conduction, nerve synapses. Skeletal muscle function – neuromuscular junction, muscle excitation, muscle contraction, energy considerations. Blood and blood cells – blood groups, blood clotting. Immune system. Autonomous nervous system. Cardiovascular system – electrical and mechanical activity of the heart. – the peripheral circulation. Respiratory system- how the lungs work. Renal system – how the kidneys work. Digestive system. Endocrine system – how hormones work. Central nervous system and brain function.

Occupational Hygiene (5 ECTS)
Historical development of Occupational Hygiene, Safety and Health at Work Act. Hazards to Health, Surveys, Noise and Vibrations, Ionizing radiations, Non-Ionizing Radiations, Thermal Environments, Chemical hazards, Airborne Monitoring, Control of Contaminants, Ventilation, Management of Occupational Hygiene.

Medical Informatics (5 ECTS)
Bio statistics, Distributions, Hypothesis testing. Chi-square, Mann-Whitney, T-tests, ANOVA, regression. Critical Appraisal of Literature, screening and audit. Patient and Medical records, Coding, Hospital Information Systems, Decision support systems. Ethical consideration in Research.
Practicals: SPSS. Appraisal exercises.

Clinical Instrumentation (6 ECTS)
Biofluid Mechanics: Theory: Pressures in the Body, Fluid Dynamics, Viscous Flow, Elastic Walls, Instrumentation Examples: Respiratory Function Testing, Pressure Measurements, Blood Flow measurements. Physics of the Senses: Theory: Cutaneous and Chemical sensors, Audition, Vision, Psychophysics; Instrumentation Examples: Evoked responses, Audiology, Ophthalmology instrumentation, Physiological Signals: Theory Electrodes, Bioelectric Amplifiers, Transducers, Electrophysiology Instrumentation.

Medical Imaging (10 ECTS)
Theory of Image Formation including Fourier Transforms and Reconstruction from Projections (radon transform). Modulation transfer Function, Detective Quantum Efficiency.
X-ray imaging: Interaction of x-rays with matter, X-ray generation, Projection images, Scatter, Digital Radiography, CT – Imaging. Fundamentals of Image Processing.
Ultrasound: Physics of Ultrasound, Image formation, Doppler scanning, hazards of Ultrasound.
Nuclear Medicine : Overview of isotopes, generation of Isotopes, Anger Cameras, SPECT Imaging, Positron Emitters and generation, PET Imaging, Clinical aspects of Planar, SPECT and PET Imaging with isotopes.
Magnetic Resonance Imaging : Magnetization, Resonance, Relaxation, Contrast in MR Imaging, Image formation, Image sequences, their appearances and clinical uses, Safety in MR.

Radiation Fundamentals (5 ECTS)
Review of Atomic and Nuclear Physics. Radiation from charged particles. X-ray production and quality. Attenuation of Photon Beams in Matter. Interaction of Photons with Matter. Interaction of Charged Particles with matter. Introduction to Monte Carlo techniques. Concept to Dosimetry. Cavity Theory. Radiation Detectors. Practical aspects of Ionization chambers

The Physics of Radiation Therapy (10 ECTS)
The interaction of single beams of X and gamma rays with a scattering medium. Treatment planning with single photon beams. Treatment planning for combinations of photon beams. Radiotherapy with particle beams: electrons, pions, neutrons, heavy charged particles. Special Techniques in Radiotherapy. Equipment for external Radiotherapy. Relative dosimetry techniques. Dosimetry using sealed sources. Brachytherapy. Dosimetry of radio-isotopes.

Workshops / Practicals
Hospital & Radiation Safety [11 ECTS]
Workshop in Risk and Safety.
Concepts of Risk and Safety. Legal Aspects. Fundamental concepts in Risk Assessment and Human Factor Engineering. Risk and Safety management of complex systems with examples from ICU and Radiotherapy. Accidents in Radiotherapy and how to avoid them. Principles of Electrical Safety, Electrical Safety Testing, Non-ionizing Radiation Safety, including UV and laser safety.
- NUIG Radiation Safety Course.
Course for Radiation Safety Officer.
- Advanced Radiation Safety
Concepts of Radiation Protection in Medical Practice, Regulations. Patient Dosimetry. Shielding design in Diagnostic Radiology, Nuclear Medicine and Radiotherapy.
- Medical Imaging Workshop
Operation of imaging systems. Calibration and Quality Assurance of General
radiography, fluoroscopy systems, ultrasound scanners, CT-scanners and MR scanners. Radiopharmacy and Gamma Cameras Quality Control.

Research Project [28 ECTS]
A limited research project will be undertaken in a medical physics area. Duration of this will be 4 months full time

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The programme offers an opportunity for professionals in health care and related disciplines to develop the knowledge, understanding and competencies necessary to function more effectively in addition to mastering the advanced use of information technology skills in health care settings. Read more

The programme offers an opportunity for professionals in health care and related disciplines to develop the knowledge, understanding and competencies necessary to function more effectively in addition to mastering the advanced use of information technology skills in health care settings.

Programme Aims

The programme is the first of its kind in Hong Kong. It aims to equip health care professionals and students from health-related disciplines, information technology, engineering or related backgrounds with advanced information technology skills for health care settings. The course contents will address the needs of health care providers and allow for the introduction, re-orientation and/or conversion to a field that is of direct relevance to the student's place of employment.

Mode and Duration of Study

This is a credit-based mixed mode programme with a normal duration of study of 1 year for full-time study and 3 years for part-time study. The maximum duration of study is 6 years.

Programme Structure

Students need to complete 30 credits comprising 4 compulsory, 2 core and 1 elective subjects plus a dissertation (or students can choose another 3 core/elective subjects of the programme to replace the dissertation).

Taught Subjects

Compulsory subjects

  • Electronic Patient Records
  • Epistemology
  • Information Technology in Health Care
  • Professional Development in Health Informatics

Core subjects

  • Applied Biosignal Processing
  • Business Intelligence and Data Mining
  • Computer Programming for Healthcare
  • Data Mining and Data Warehousing Applications
  • Digital Imaging and PACS
  • Epidemiology
  • Intelligent Information Systems
  • Knowledge Management for Clinical Applications
  • Project Management

Elective subjects

  • Bioinformatics in Health Sciences
  • Database Systems and Management
  • Information Security: Technologies and Systems
  • Information System Development with Object-Oriented Methods
  • Internet Computing and Applications
  • Methods and Tools for Knowledge Management Systems
  • Research Methods and Data Analysis
  • Virtual Reality in Health Care

The list of elective subjects is not exhaustive. 

Dissertation

  • Dissertation


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This course offers the academic training required for a career in scientific support of medical procedures and technology. The course is coordinated through the Medical Physics Departments in St. Read more
This course offers the academic training required for a career in scientific support of medical procedures and technology. The course is coordinated through the Medical Physics Departments in St. James's Hospital and St. Luke's Hospital, Dublin.

Students enter via the M.Sc. register. This course covers areas frequently known as Medical Physics and Clinical Engineering. It is designed for students who have a good honours degree in one of the Physical Sciences (physics, electronic or mechanical engineering, computer science, mathematics) and builds on this knowledge to present the academic foundation for the application of the Physical Sciences in Medicine.

The course will be delivered as lectures, demonstrations, seminars, practicals and workshops. All students must take a Core Module. Upon completion of this, the student will then take one of three specialisation tracks in Diagnostic Radiology, Radiation Therapy or Clinical Engineering. The running of each of these tracks is subject to a minimum number of students taking each track and therefore all three tracks may not run each year.

Core Modules

Introduction to Radiation Protection andamp; Radiation Physics (5 ECTS)
Imaging Physics andamp; Technology (5 ECTS)
Introduction to Radiotherapy and Non-Ionising Imaging (5 ECTS)
Basic Medical Sciences (5 ECTS)
Introduction to Research Methodology and Safety (5 ECTS)
Medical Technology and Information Systems (5 ECTS)
Seminars (5 ECTS)
Specialisation Track Modules (Diagnostic Radiology)

Radiation Physics and Dosimetry (5 ECTS)
Medical Informatics and Image Processing (5 ECTS)
Ionising and Non-Ionising Radiation Protection (5 ECTS)
Imaging Physics and Technology 2 (10 ECTS)
Specialisation Track Modules (Radiation Therapy)

Radiation Physics and Dosimetry (5 ECTS)
Principles and Applications of Clinical Radiobiology (5 ECTS)
External Beam Radiotherapy (10 ECTS)
Brachytherapy and Unsealed Source Radiotherapy (5 ECTS)
Specialisation Track Modules (Clinical Engineering)

The Human Medical Device Interface (5 ECTS)
Principle and Practice of Medical Technology Design, Prototyping andamp; Testing (5 ECTS)
Medical Technology 1: Critical Care (5 ECTS)
Medical Technology 2: Interventions, Therapeutics andamp; Diagnostics (5 ECTS)
Medical Informatics and Equipment Management (5 ECTS)
Project Work and Dissertation (30 ECTS)

In parallel with the taught components, the students will engage in original research and report their findings in a dissertation. A pass mark in the assessment components of all three required sections (Core Module, Specialisation Track and Dissertation) will result in the awarding of MSc in Physical Sciences in Medicine. If the student does not pass the dissertation component, but successfully passes the taught components, an exit Postgraduate Diploma in Physical Sciences in Medicine will be awarded. Subject areas include

Radiation Protection and Radiation Physics
Imaging Physics and Technology
Basic Medical Sciences
Medical Technology Design, Prototyping and Testing
Medical Informatics
Image Processing
External Bean Radiotherapy
Brachytherapy and Unsealed Source Radiotherapy
The Human-Medical Device Interface
The course presents the core of knowledge for the application of the Physical Sciences in Medicine; it demonstrates practical implementations of physics and engineering in clinical practice, and develops practical skills in selected areas. It also engages students in original research in the field of Medical Physics / Engineering. The course is designed to be a 1 year full-time course but is timetabled to facilitate students who want to engage over a 2 year part-time process.

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This programme provides an opportunity to undertake intensive training in human cognitive neuropsychology by working closely with our Human Cognitive Neuroscience Research Unit, a group of internationally recognised cognitive psychologists, clinical and academic neuropsychologists including Dr Sharon Abrahams and Professors Sergio Della Sala and Robert Logie. Read more

This programme provides an opportunity to undertake intensive training in human cognitive neuropsychology by working closely with our Human Cognitive Neuroscience Research Unit, a group of internationally recognised cognitive psychologists, clinical and academic neuropsychologists including Dr Sharon Abrahams and Professors Sergio Della Sala and Robert Logie.

Teaching follows an integrated approach with courses on neuropsychology, cognitive psychology, clinical neuropsychology and brain imaging. You will also receive training in generic research methods within psychology.

Programme structure

This programme comprises two semesters of taught compulsory and optional courses, followed by a dissertation. Optional courses within the area of human cognitive neuroscience can be selected to tailor the programme to your interests. You may also choose your optional courses from a range in associated disciplines, such as individual differences, informatics and psycholinguistics, with permission from the programme director.

Compulsory courses

  • Psychological Research Skills
  • Univariate Statistics and Methodology using R
  • Multivariate Statistics and Methodology using R
  • Specialist techniques in psychological research
  • Current topics in psychological research

Option courses

  • Brain Imaging in Cognitive Neuroscience
  • Clinical Neuropsychology
  • Consciousness and Perceptual Awareness
  • Disorders of Language Functions
  • Frontal Lobe Functions
  • Multisensory Integration
  • Working Memory
  • Imaging Mind and Brain

Dissertation

The dissertation involves conducting a research project under staff supervision. You will produce a written report, which describes your research and interprets your findings.

If you are looking to complete a research dissertation in clinical based environments (interacting with NHS patients) or schools / nurseries, you may be asked to apply for a Research Passport by your supervisor, or you may select a clinical research project that is already in progress within the University.

Learning outcomes

On successful completion of this programme, you will have gained:

  • specialist knowledge within the fields of human cognitive neuropsychology and integrated areas of study, in addition to training in psychological research methods
  • an understanding of clinical neuropsychology (assessment and rehabilitation of patients with neurological disorders), brain imaging, cognitive psychology, and cognitive neuropsychology and critical awareness of cognitive and neuropsychological research and its application to clinical practice
  • a foundation for advanced research within human cognitive neuropsychology
  • a comprehensive understanding of the basic principles of research design and application
  • competency in applying a range of methods and research tools
  • skills in research management, including managing data and conducting and disseminating research in ways consistent with both professional practice and the normal principles of research ethics

Career opportunities

The programme is suitable for graduate psychologists or those who have studied or worked in related disciplines who wish to pursue a research-oriented career within cognitive neuropsychology (providing the foundations for later application to a doctoral training programme) or a clinically oriented career in neuropsychology.



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The programme disseminates imaging knowledge, skills and understanding, in order to enable effective and efficient use of imaging, clinically, in research and in industry. Read more

The programme disseminates imaging knowledge, skills and understanding, in order to enable effective and efficient use of imaging, clinically, in research and in industry.

Our flexible, intermittent, part-time, online distance learning (OLDL) programme aims to:

  • to provide an understanding of research that uses neuroimaging techniques
  • to develop research planning and designing skills, incorporating neuroimaging
  • to enable interpretation and analysis of relevant neuroimaging data
  • to relate neuroimaging research to clinical applications

Online learning

Access world class teaching at the University of Edinburgh, while maintaining your local professional & personal commitments where you live, thereby keeping down costs by not being resident in Edinburgh.

Our online students not only have access to Edinburgh’s excellent resources, but also become part of a supportive online community, bringing together students and tutors from around the world.

Programme structure

You may choose to study to Certificate, Diploma or Masters level.

Find out more about the compulsory and optional courses in this degree programme. We publish the latest available information for this programme. Please note that this may be for a previous academic year.

You may take up to 30 credits per semester, 60 credits per year.

Postgraduate Professional Development (PPD) is aimed at working professionals who want to advance their knowledge through a postgraduate-level course(s), without the time or financial commitment of a full Masters, Postgraduate Diploma or Postgraduate Certificate.

You may take a maximum of 50 credits worth of courses over two years through our PPD scheme. We offer online credit-bearing courses which run for 11 weeks at a time. These lead to a University of Edinburgh postgraduate award of academic credit. Alternatively, after one year of taking courses you can choose to transfer your credits and continue on to studying towards a higher award on a Masters, Postgraduate Diploma or Postgraduate Certificate programme.

Although PPD courses have various start dates throughout a year you may only start a Masters, Postgraduate Diploma or Postgraduate Certificate programme in the month of September. Any time spent studying PPD will be deducted from the amount of time you will have left to complete a Masters, Postgraduate Diploma or Postgraduate Certificate programme.

Please note that individual elective courses will only run if there is a minimum of 4 students taking the course.

Learning outcomes

  • Describe imaging theory, techniques, analysis and applications.
  • Discuss how imaging is used to investigate both normal and abnormal processes and functions (clinically and in research).
  • Design methodologically sound and practical research that uses neuroimaging.
  • Analyse results and use statistics relevant to and derived from neuroimaging.
  • Integrate health and safety regulations, and legislation, into the planning and execution of research which uses neuroimaging.
  • Envision the translation from basic neuroimaging research to the clinical arena.
  • Critically appraise existing research that uses neuroimaging, demonstrating awareness of reproducibility, reliability of techniques, and sources of bias, both in research and clinically.
  • Be innovative in the discussion and presentation of work to peers.
  • Formulate suitable grant and research proposals which incorporate neuroimaging.
  • Initiate and execute research autonomously.
  • Produce publishable research summaries.
  • Demonstrate good practice in research communication and collaboration, including modern online methods.
  • Engage with new developments building upon your neuroimaging knowledge.

Career opportunities

This programme is an ideal programme to help you in your neuroimaging research-based career, giving you advanced and well recognised expertise in the field.



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The Engineering faculties of the Universiteit Gent and Vrije Universiteit Brussel organize the interuniversitary Master of Biomedical Engineering and this in a close collaboration with the Medical faculties of both universities. Read more

About the programme

The Engineering faculties of the Universiteit Gent and Vrije Universiteit Brussel organize the interuniversitary Master of Biomedical Engineering and this in a close collaboration with the Medical faculties of both universities. As a result of recent evolutions towards internationalization, we also offer a complete English master program in biomedical engineering. Both the Dutch and English masters are two-year programs and lead to a joint degree from UGent and VUB. Students study either in Ghent or in Brussels upon their own choice.

Tackle complex problems in biology, medicine and health sciences

Biomedical Engineering is a branch of Engineering where students acquire knowledge and skills which can be applied to tackle complex problems in biology, medicine and health sciences. The biomedical engineer herein strives towards a solution in balance with technological, economical and ethical constraints.

Learning outcomes

Graduated students master the fundamentals of current biomedical engineering and have a thorough knowledge of the basic concepts and an overview of the main applications in various fields of biomedical engineering (medical imaging, medical signal processing, medical physics, medical device technology, tissue engineering, biomaterials...). The graduated student has acquired the necessary research skills which allow him or her to independently analyze and solve a problem, and recognizes the importance of permanent learning in a continuously evolving domain.

Work in multidsciplinary teams:
The biomedical engineer is trained to work in multidisciplinary teams (influx of students with different bachelor backgrounds, lecturers from various faculties and scientific domains, multi-disciplinary projects) and has the required communication skills.

Awareness of ethical and socio-medical aspects:
The biomedical engineer is aware of the ethical and socio-economic aspects of biomedical engineering and healthcare, and of the social responsibility of a master in engineering.

Career possibilities:
In this master's course, knowledge and skills in all fields in biomedical engineering will be given, so when you finished the Master's programme, you can be employed as generalist, and you will also be specialised in one particular field of biomedical engineering.

As a student, you are able to select any field within biomedical engineering. You will be trained to work in interdisciplinary project teams, composed of engineers and medical specialists. To prepare further for interdisciplinary teams, students and scholars are treated as equals. To train for working in a European setting, you will get knowledge in the health care situation in several countries in Europe, and you will be trained in cultural differences between European countries.

In summary, the goal of this course is to acquire the ability to:
- work in interdisciplinary (engineering – medical) teams
- work in international and thus intercultural (European) teams
- communicate effectively with experts in (bio)medicine and technology
- perform fundamental research in Biomedical Engineering.
- design innovative devices to improve diagnostics and treatment of patients
- follow a post-Master’s training in Biomedical Engineering
- perform a PhD study
- train continuously (life-long-learning)

Curriculum

Available on http://www.vub.ac.be/en/study/biomedical-engineering/programme

The programme consists of 120 credits, evenly distributed over 4 semesters of each 12 weeks. The specific part of the master involves six basic courses for a total of 30 credits (Quantitative cell biology, Modelling of Physiological Systems, From Genome to Organism, Biomechanics, Bio-electronics and Biomaterials) and 42 credits dedicated to specialist courses in biomedical engineering (Biomedical Imaging, Neuromodulation and Imaging, Medical Physics, Medical Equipment, Biomedical Product Development, Artificial Organs: Technology and Design, Health Care Organization and Informatics, Human and Environment, Safety and Regulations* and Seminars: Innovations in Biomedical Engineering). The programme is further complemented with a master thesis (24 credits) and elective courses for a total of 24 credits.

Internships and Project Work

Students are encouraged to do an internship with a company or hospital in Belgium or abroad during the summer holiday period. Internships can be valorised in the curriculum, with an internship of 4 weeks accounting for an elective course of 3 credits, and an internship of minimally 6 weeks accounting for 6 credits. A maximum of 6 credits is allowed. In addition, students can opt for the elective 3 credit course “Multidisciplinary Biomedical Project” during which they can work on an assignment or a project.

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Do you want to focus your scientific career on one of the fastest moving sectors of science? The UK has hundreds of biotech companies and is a leader in innovating specialist products from living organisms. Read more
Do you want to focus your scientific career on one of the fastest moving sectors of science? The UK has hundreds of biotech companies and is a leader in innovating specialist products from living organisms. Biotech applications are enhancing food production, treating medical conditions, and having a significant impact on the global future.

Given the common expectation for job candidates to have some form of postgraduate qualification, this Masters course offers a route to careers in biotechnology as well as the broader life sciences industry. If your first degree included the study of genetics and molecular biology, and a research module, you’re well-placed to join us.

This course can also be started in January (full time 21 months) - for more information please view this web-page: https://www.northumbria.ac.uk/study-at-northumbria/courses/biotechnology-dtfbty6/

Learn From The Best

The quality of teaching in life sciences at Northumbria has been recognised by strong performance in student-led awards, Further evidence of academic excellence is the number of invitations to members of our team to join the editorial boards of scientific journals.

Our teaching team maintains close links with biotech companies and research labs, including via on-going roles as consultants, which helps ensure an up-to-date understanding of the latest technical and commercial developments. Several academics are involved in biotech ventures that make use of the University’s facilities: Nzomics Biocatalysis develops enzyme alternatives to chemical processes, and Nu-omics offers DNA sequencing services.

Teaching And Assessment

We aim for interactive teaching sessions and you will engage in discussions, problem-solving exercises and other activities. Teaching can start in the lab or classroom and then you make the material your own by exploring and applying it. Technology Enhanced Learning makes this easier; each module has an electronic blackboard site with relevant information including electronic reading lists and access to websites, videos and other study materials that are available anytime, anywhere.

You will undertake assignments within small groups and we provide training in communication skills relevant for scientific communication. The course aims to foster your ability to work at a professional standard both individually and as part of a team.

Module Overview
AP0700 - Graduate Science Research Methods (Core, 20 Credits)
AP0701 - Molecular Biology (Core, 20 Credits)
AP0702 - Bioinformatics (Core, 20 Credits)
AP0703 - Subject Exploration (Core, 20 Credits)
AP0704 - Industrial Biotechnology (Core, 20 Credits)
AP0705 - Current Topics in Biotechnology (Core, 20 Credits)
AP0708 - Applied Sciences Research Project (Core, 60 Credits)

Learning Environment

The technical facilities at Northumbria University are excellent. We are fully equipped for molecular biology manipulations and imaging – techniques include RT-PCR to show whether or not a specific gene is being expressed in a given sample. We also have pilot scale bioreactors so that we can scale up experiments and processes.

For cell biology and immunology, we have two multi-user laboratories. Technologies include assays for measuring immune responses at the single-cell level, and for monitoring the functioning of cells in real time. Further capabilities include biomarker analysis, flow cytometry, chemical imaging and fluorescence microscopy. For genomics, proteomics and metabolomics, our capabilities include genomic sequencing, mass spectrometry, 2D protein electrophoresis and nanoflow liquid chromatography.

All our equipment is supported up by highly skilled technical staff who will help you make the best use of all the facilities that are available.

Research-Rich Learning

In fast-moving fields like biotechnology, it’s particularly important for teaching to take account of the latest research. Many of our staff are conducting research in areas such as molecular biology, bio-informatics, gene expression and micro-biology of extreme environments. They bring all this experience and expertise into their teaching.

As a student, you will be heavily engaged in analysing recent insights from the scientific literature. You will undertake a major individual project in molecular and cellular science that will encompass all aspects of a scientific study. These include evaluation of relevant literature, design and set-up of experiments, collection and processing of data, analysis of results, preparation of a report and presentation of findings in a seminar.

Give Your Career An Edge

Many recruiters in the biotech industry expect candidates to have studied at postgraduate level so our Masters qualification will help you get through the door of the interview room. Once there, your major project and other assignments will help ensure there is plenty to catch their attention. Employers are looking for the ability to solve problems, think critically, work with others and function independently – which are exactly the attributes that our course develops to a higher level.

During your time at Northumbria, we encourage you to participate in the activities organised by the Career Development Service. We also encourage you to apply for associate membership of the Royal Society of Biology, with full membership becoming possible once you have at least three years’ postgraduate experience in study or work.

Your Future

The biotech industry has made huge progress in the last few decades and the years ahead promise to be even more transformational. With an MSc Biotechnology, you will be ready to contribute to the changes ahead through a rigorous scientific approach and your grasp of the fundamental knowledge, insights and skills that underlie modern biotechnology.

Scientific research is at the heart of the course and you will strengthen pivotal skills that will enhance your employability in any research-rich environment. By developing the practices, standards and principles relevant to becoming a bioscience professional, you will also prepare yourself for success in other sectors of the life sciences industry and beyond.

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Degree. Master of Science (two years) with a major in Biomedical Engineering. Teaching language. English. Read more

Degree: Master of Science (two years) with a major in Biomedical Engineering

Teaching language: English

Biomedical Engineering Masters programme combines fundamental concepts and knowledge in engineering, biology, and medicine to develop innovative technologies, materials, processes, and systems, with the aim of improving healthcare.

You will expand your skills and knowledge in engineering, mathematics, physics, multidimensional signal generation and analysis, and you will combine medical informatics with biomedical modelling applied to human anatomy.

The intersection of natural science, medicine, and technology is a dynamic place. Driven by demands for equitable and efficient healthcare and ever-improving quality of life, technological development benefits humanity and helps create a sustainable future. With a history of pioneering interdisciplinary research and education, Linköping University provides premier opportunities for developing a fundamental and functional understanding of biomedical engineering. Based on solid mathematical and physical foundations, useful medical knowledge, and a vivid engineering spirit, we set out to develop technology that improves health and healthcare – and makes a difference.

Three tracks

The first year is mainly a broad compulsory segment, with courses in anatomy and physiology, medical information systems, and signal theory. The second year offers in-depth specialisation along three tracks:

  • Biomedical signals and instrumentation
  • Medical imaging
  • Medical informatics

Each track comprises approximately 25 compulsory ECTS credits and 15 elective credits. In the final semester you write a thesis within your chosen specialisation, at the department or in a hospital or the industry.

Student-centred learning

Learning outcomes are achieved through the thematic environment of student-centred learning, using teaching methods that include tutorial groups and home exams. After graduating, you will have the skills to formulate and solve engineering problems in the biomedical domain, implement and operate processes and systems, and evaluate engineering tools applied in medicine.



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This taught Masters is designed to provide you with an advanced programme of study in Medical Physics. It provides an understanding of the application of physics and technology to a range of disciplines within medical physics at a level appropriate for a professional physicist. Read more
This taught Masters is designed to provide you with an advanced programme of study in Medical Physics. It provides an understanding of the application of physics and technology to a range of disciplines within medical physics at a level appropriate for a professional physicist. We have expertise in traditional areas like ionising radiation, but also specialist sections in PET Scanning, Ophthalmology, Urology, Informatics and leading researchers in MRI.

Why this programme

◾A key strength of this programme is that you will be taught mostly by physicists working in the NHS. It will quip you for employment in a clinical environment.
◾Due to the large size of the NHS medical physics department in Glasgow, all mainstream areas of medical physics are covered along with some specialised fields.
◾The programme is accredited with the Institute of Physics & Engineering in Medicine (IPEM), the UK professional body for medical physicists.
◾The department has access to 1.5, 3 and 7 Tesla MRI, Pet Scanning, a cyclotron, dedicated SPECT and has its own radiosotope dispensary.
◾Your lecturers are operating at the forefront of the profession with a balance of research and clinical practice, perfect for studying Medical Science.
◾The research component of this programme allows you to develop valuable skills for practising and interpreting research.
◾We draw on expert resources within the wider university for anatomy, statistics and the two optional courses.

Programme structure

You will attend lectures, seminars and tutorials, take part in e-learning and undertake a research project.

Core courses
◾Radiation physics
◾Anatomy and physiology
◾Statistics and experimental techniques
◾Medical imaging physics
◾Programming
◾Scientific management
◾Clinical medical imaging
◾Radiotherapy
◾Clinical measurement
◾Research dissertation.

Optional courses
◾Advanced data analysis
◾Problem solving.

Career prospects

Career opportunities include positions in the NHS, private healthcare and equipment manufacturers. This is the course followed by the NHS trainees in Scotland so it is highly attuned to preparing the successful student for employment.

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Studentships. * One-year masters studentships are available for this stream. Each studentship will be worth £5000 and can be taken either as a reduction in fees or as a bursary. Read more

Studentships

* One-year masters studentships are available for this stream. Each studentship will be worth £5000 and can be taken either as a reduction in fees or as a bursary. Studentships will be awarded based on academic merit and are open to all applicants, regardless of fee status (home/EU/overseas). Please indicate 'Data Science' in the first line of your personal statement.

* Two PhD Studentships targeted at successful graduates from this stream. Two 3-year PhD studentships will be on offer, targeted at students obtaining a minimum of a Pass with Merit on the Data Science stream. These studentships will cover the cost of tuition fees for home/EU applicants and a stipend at standard Research Council rates.

Stream overview

This course is a stream within the broader MRes in Biomedical Research.

The Data Science stream provides an interdisciplinary training in analysis of ‘big data’ from modern high throughput biomolecular studies. This is achieved through a core training in multivariate statistics, chemometrics and machine learning methods, along with research experience in the development and application of these methods to real world biomedical studies. There is an emphasis on handling large-scale data from molecular phenotyping techniques such as metabolic profiling and related genomics approaches. Like the other MRes streams, this course exposes students to the latest developments in the field through two mini-research projects of 20 weeks each, supplemented by lectures, workshops and journal clubs. The stream is based in the Division of Computational and Systems Medicine and benefits from close links with large facilities such as the MRC-NIHR National Phenome Centre, the MRC Clinical Phenotyping Centre and the Centre for Systems Oncology. The Data Science stream is developed in collaboration with Imperial’s Data Science Institute.

Who is this course for?

Students with a degree in physical sciences, engineering, mathematics computer science (or related area) who wish to apply their numeric skills to solve biomedical problems with big data.

Stream Objectives

Students will gain experience in analysing and modelling big data from technologically advanced techniques applied to biomedical questions. Individuals who successfully complete the course will have developed the ability to:

• Perform novel computational informatics research and exercise critical scientific thought in the interpretation of results.

• Implement and apply sophisticated statistical and machine learning techniques in the interrogation of large and complex

biomedical data sets.

• Understand the cutting edge technologies used to conduct molecular phenotyping studies on a large scale.

• Interpret and present complex scientific data from multiple sources.

• Mine the scientific literature for relevant information and develop research plans.

• Write a grant application, through the taught grant-writing exercise common to all MRes streams.

• Write and defend research reports through writing, poster presentations and seminars.

• Exercise a range of transferable skills by taking short courses taught through the Graduate School and the core programme of the

MRes Biomedical Research degree.

Projects

A wide range of research projects is made available to students twice a year. The projects available to each student are determined by their stream. Students may have access from other streams, but have priority only on projects offered by their own stream. Example projects for Data Science include (but are not limited to):

• Integration of Multi-Platform Metabolic Profiling Data With Application to Subclinical Atherosclerosis Detection

• What Makes a Biological Pathway Useful? Investigating Pathway Robustness

• Bioinformatics for mass spectrometry imaging in augmented systems histology

• Processing of 3D imaging hyperspectral datasets for explorative analysis of tumour heterogeneity

• Fusion of molecular and clinical phenotypes to predict patient mortality

• 4-dimensional visualization of high throughput molecular data for surgical diagnostics

• Modelling short but highly multivariate time series in metabolomics and genomics

• Searching for the needle in the haystack: statistically enhanced pattern detection in high resolution molecular spectra

Visit the MRes in Biomedical Research (Data Science) page on the Imperial College London web site for more details!



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Research profile. The Centre for Discovery Brain Sciences (CDBS) carries out research at molecular, cellular, systems and behavioural levels to understand fundamental mechanisms and pathways relevant to brain and body function in health and disease. Read more

Research profile

The Centre for Discovery Brain Sciences (CDBS) carries out research at molecular, cellular, systems and behavioural levels to understand fundamental mechanisms and pathways relevant to brain and body function in health and disease.

CDBS investigators exploit rapid advances in the enabling technologies available from genomics, proteomics, imaging, informatics, and in-vivo analysis to understand the function of gene products at the cell, organ and whole-animal level, and to understand cognition and behaviour at the systems, circuit, cellular and molecular level.

They also exploit the most appropriate model organisms/systems to investigate the delicate balance between high biomedical relevance (for example human, mouse, rat) and high genetic power (such as C. elegans, drosophila and zebrafish).

Research encompasses the study of the central and peripheral nervous systems, at multiple levels of analysis, from the molecular and cellular levels through to cognitive neuroscience, brain imaging, and behavioural neuroscience.

MSc by Research

The MSc by Research Neuroscience is a full-time 1-year research project done under the supervision of a CDBS Researcher. This programme has no taught component and is therefore only suitable for highly motivated students with a clear idea of their research interests and goals, with significant theoretical or practical knowledge of a chosen field. An MSc by full-time research provides an excellent training in laboratory research and a strong grounding for further study at the level of PhD.

MSc by Research Neuroscience students will work full-time on their research project with the additional option of taking selected transferable skills courses. Each student will have two supervisors. After 3 months study a short presentation and report of completed and proposed work will be made to the supervisors, at which point progression from Diploma to full Masters will be considered. Students that demonstrate sufficient progress and aptitude will progress for a further 9 months full-time research after which a Dissertation will be presented and assessed for the award of MSc.

If you're interested in applying for the MSc by Research Neuroscience please see "the how to apply" section on the right.

Note that this programme is different from “MSc by Research in Integrative Neuroscience” as the latter contains taught elements – for information on that programme please visit:

Facilities

Students have access to state-of-the-art laboratories and equipment to facilitate their research objectives. These are located both within the Central area campus and at the Little France campus. Extensive collaborations exist with the wider biomedical and clinical communities helping ensure you are supported in a world-class research environment.



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