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Masters Degrees (Medical Statistics)

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This is a part-time, modular based programme for health professionals who wish to strengthen their statistical skills and ability to analyse data. Read more
This is a part-time, modular based programme for health professionals who wish to strengthen their statistical skills and ability to analyse data.

Students will gain the confidence in carrying out the methods that are widely used in medical statistics, and interpreting the results for the practice of evidence-based health care. The flexible modular structure has been devised for busy professionals and to fit with the structure of specialist training. The regulations allow students to take up to four years to complete the MSc.

This is a joint programme between the Nuffield Department of Primary Care Health Sciences and the Department for Continuing Education's Continuing Professional Development Centre. The Programme works in collaboration with the renowned Centre for Evidence-Based Medicine in Oxford.

This course is designed for doctors, nurses, pharmacists, midwives and other healthcare professionals, seeking to consolidate their understanding and ability in medical statistics. Core modules introduce the students to methods for observational and clinical trials research. Optional modules offer the students skills in growth areas such as systematic review, meta-analysis, and big data epidemiology, or specialist areas such as statistical computing, diagnosis and screening research and others. Teaching is tailored to non-statisticians and delivered by an experienced team of tutors from University of Oxford who bridge the disciplines of medical statistics and evidence-based health care.

This programme guides students through core and optional modules and a dissertation to a qualification in the application of medical statistics to evidence-based health care. Compared to the main EBHC programme, this will suit those with basic statistical understanding who seek training who now seek deeper understanding on a broader base of statistical methods.

Visit the website https://www.conted.ox.ac.uk/about/msc-in-ebhc-medical-statistics

Course aims

The course aims to give healthcare professionals high competence in the concepts, methods, terminology and interpretation of medical statistics; and hence, enhance their ability to carry out their own research and to interpret published evidence.

• Gain competence in execution and interpretation of core statistical techniques used by medical statisticians (outside the context of clinical trials), particularly those used in multivariable analyses: multiple linear regression, logistic regression, and survival modelling; statistical analysis plans and statistical reporting.
• Gain competence in execution and interpretation of core statistical techniques used by medical statisticians in clinical trials.
• Gain competence in execution and interpretation of four other areas, selected by the student from the following options: meta-analysis; systematic review; big data epidemiology; statistical computing; diagnosis and screening; study design and research methods.
• Gain hands-on experience, supervised by a senior member of our medical statistics team, of the analysis or meta-analysis of healthcare data, in order to address a question in evidence-based health care.

Programme details

The MSc in EBHC Medical Statistics is a part-time course.

There are two compulsory modules, four option modules (two from group 1 and two more either from either group 1 or 2) and a dissertation.

Compulsory Modules

• Essential Medical Statistics
• Statistics for Clinical Trials

Optional Modules – 1

• Meta-analysis
• Big Data Epidemiology
• Statistical Computing with R and Stata (online)

Optional Modules – 2

• Introduction to Study Design and Research Methods
• Systematic Reviews
• Evidence-based Diagnosis and Screening

A module is run over an eight-week cycle where the first week is spent working on introductory activities using a Virtual Learning Environment, the second week is spent in Oxford for the face-to-face teaching week, there are then four post-Oxford activities (delivered through the VLE) which are designed to help you write your assignment. You then have a week of personal study and you will be required to submit your assignment electronically the following week.

Online modules are delivered entirely through a Virtual Learning Environment with the first week allocated to introductory activities. There are ten units to work through which are released week-by-week, you then have five weeks of personal study with use of a revision forum and then you will be required to submit your assignment electronically the following week.

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The MSc in Medical Statistics combines in-depth training in mainstream advanced statistical modelling with a specialisation in medical applications. Read more

The MSc in Medical Statistics combines in-depth training in mainstream advanced statistical modelling with a specialisation in medical applications.

This flexible degree programme allows you to blend theoretical and applied statistical disciplines, ideal for training in medical statistics. It combines compulsory and optional modules allowing you to train in a range of statistical techniques (and transferable skills) suitable for either careers in medical statistics and research-related professions, or for further academic research.

Options within the course vary from mainstream topics in statistical methodology to more specialised areas such as epidemiology and biostatistics.

You can also study this programme part time over 24 months.

If you do not meet the full academic entry requirements then you may wish to consider the Graduate Diploma in Mathematics. This course is aimed at students who would like to study for a mathematics related MSc course but do not currently meet the entry requirements. Upon completion of the Graduate Diploma, students who meet the required performance level will be eligible for entry onto a number of related MSc courses, in the following academic year.

Accreditation

Accreditation from the Royal Statistical Society is pending.

Course content

The first two semesters of your course will consist of taught modules, and in the third semester you’ll devote your time to a major dissertation in statistics or a research project in applied epidemiology and biostatistics. Within each semester you have the opportunity to choose from a range of optional modules, allowing you to specialise in the area of study of most interest to you.

You’ll be taught by experts from the School of Mathematics, The Centre for Epidemiology and Biostatistics, and The Clinical Trials Research Unit at Leeds, each bringing a different perspective to the subject of medical statistics.

You’ll be supervised for both your taught modules and your research project by professionals across the teaching units and you will be given the opportunity to utilise existing links with individual clinicians and medical research groups in the University of Leeds, Leeds NHS trust, and the Department of Health’s Information Centre in Leeds.

Throughout the course you’ll learn about new developments in statistics and be provided with the opportunity to undertake data analysis for a wide variety of statistical problems. You’ll build an appreciation of theoretical and practical perspectives on issues in medical statistics, whilst developing the ability to select and apply appropriate statistical methods for the analysis of medical data using suitably chosen software packages.

Course structure

Compulsory modules

  • Introduction to Clinical Trials 15 credits
  • Core Epidemiology 15 credits
  • Introduction to Modelling 15 credits
  • Statistical Computing 15 credits

Optional modules

  • Research Project 60 credits
  • Multilevel and Latent variable Modelling 15 credits
  • Professional Spine 15 credits
  • Independent Learning Skills in Epidemiology and Biostatistics 15 credits
  • Advanced Modelling Strategies 15 credits
  • Advanced Epidemiological Techniques 15 credits
  • Linear Regression and Robustness 15 credits
  • Statistical Theory 15 credits
  • Multivariate Analysis 10 credits
  • Time Series 10 credits
  • Bayesian Statistics 10 credits
  • Generalised Linear Models 10 credits
  • Introduction to Statistics and DNA 10 credits
  • Linear Regression and Robustness and Smoothing 20 credits
  • Multivariate and Cluster Analysis 15 credits
  • Time Series and Spectral Analysis 15 credits
  • Bayesian Statistics and Causality 15 credits
  • Generalised Linear and Additive Models 15 credits
  • Independent Learning and Skills Project 15 credits
  • Dissertation in Statistics 60 credits
  • Statistics and DNA 15 credits

For more information on typical modules, read Medical Statistics MSc in the course catalogue

Learning and teaching

This course is taught by experts from the School of Mathematics, the Centre for Epidemiology and Biostatistics, and the Clinical Trials Research Unit at Leeds. You’ll study a mixture of modules taught by specialists in each area depending on your chosen optional modules. Teaching is done through a combination of lectures, small group workshops and a small number of practical exercises.

Assessment

The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The project is assessed by a written dissertation and a short oral presentation.

Career opportunities

There is a shortage of well-qualified statisticians in the UK and other countries. Numeracy, in general, is an attribute keenly sought after by employers.

The emergence of data mining and analysis means that demand for statisticians is growing across a wide range of professions - actuarial, betting and gaming industries, charitable organizations, commercial, environmental, financial, forensic and police investigation, government, market research, medical and pharmaceutical organisations. The course is designed specifically to meet this demand.

As a graduate of medical statistics you will have specialist knowledge that will help you progress your career into areas such as medical or epidemiological research. There are several aims to medical research, all of which involve a significant amount of statistics, monitoring and surveillance of health and disease, establishing causes of disease or factors associated with death or disease, detecting disease, preventing death or disease and evaluating treatments for disease. Medical statisticians looking to follow a career in medical research are mainly employed by pharmaceutical companies, university medical schools, research units and the NHS.

A medical statistician could also go into consultancy giving advice to researchers looking to set up clinical trials and needing their project to be assessed before funding is granted.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.




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Medical statistics is a fundamental scientific component of health research. Medical statisticians interact with biomedical researchers, epidemiologists and public health professionals and contribute to the effective translation of scientific research into patient benefits and clinical decision-making. Read more
Medical statistics is a fundamental scientific component of health research. Medical statisticians interact with biomedical researchers, epidemiologists and public health professionals and contribute to the effective translation of scientific research into patient benefits and clinical decision-making. As new biomedical problems emerge, there are exciting challenges in the application of existing tools and the development of new superior models.

Degree information

The UCL Medical Statistics degree provides students with a sound background in theoretical statistics as well as practical hands-on experience in designing, analysing and interpreting health studies, including trials and observational studies. The taught component equips students with analytical tools for health care economic evaluation, and the research project provides experience in using real clinical datasets.

Students undertake modules to the value of 180 credits.

The programme consists of a foundation course, six core modules (90 credits) two optional modules (30 credits) and the research dissertation (60 credits).

Core modules
-Foundation Course (not credit bearing)
-Statistical Inference
-Statistical Models and Data Analysis
-Medical Statistics I
-Medical Statistics II
-Statistical Computing
-Applied Bayesian Methods

Optional modules - at least one from:
-Statistics for Interpreting Genetic Data
-Bayesian Methods in Health Economics

and at least one from:
-Epidemiology
-Statistical Design of Investigations

Dissertation/report
All MSc students undertake an individual research project, culminating in a dissertation of approximately 10,000–12,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, tutorials and classes, some of which are dedicated to practical work. External organisations deliver technical lectures and seminars where possible. Assessment is through written examination and coursework. The research project is assessed through the dissertation and a 15-minute presentation.

Workshops running during the teaching terms provide preparation for this project and cover the communication of statistics, for example, the presentation of statistical graphs and tables.

Careers

Medical statisticians enable the application of the best possible quantitative methods in health research and assist in the reliable translation of research findings to public and patients’ health care.

The National Institute of Health Research (NIHR) has identified Medical Statistics as one of the priority areas in their capacity building strategy and has awarded UCL two studentships annually for this MSc.

Top career destinations for this degree:
-Graduate Bio-Statistician, PRA International
-Statistical and Epidemiological Modeller, University of Oxford
-Biostatistician, Boehringer Ingelheim
-PhD Statistical Science, University College London (UCL)

Employability
There is an acute shortage of medical statisticians in the UK and employment opportunities are excellent. Recent graduates from this programme have been employed by clinical trials units, pharmaceutical industry, NHS trusts and Universities (e.g. London School of Hygiene and Tropical Medicine, UCL).

Why study this degree at UCL?

One of the strengths of UCL Statistical Science is the breadth of expertise on offer; the research interests of staff span the full range from foundations to applications, and make important original contributions to the development of statistical science.

UCL is linked with four NHS hospital trusts and hosts three biomedical research centres, four clinical trial units and an Institute of Clinical Trials and Methodology. Established links between the Department of Statistical Science, the NIHR UCLH/UCL Biomedical Research Centre and the Clinical Trial Units provide high-quality biomedical projects for Master's students and opportunities for excellent postgraduate teaching and medical research.

The programme has been accredited by the Royal Statistical Society. Graduates will automatically be granted the society's Graduate Statistician status on application.

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The course trains students from a variety of academic backgrounds to work as statisticians in various sectors including higher education, research institutions, the pharmaceutical industry, central government and national health services. Read more
The course trains students from a variety of academic backgrounds to work as statisticians in various sectors including higher education, research institutions, the pharmaceutical industry, central government and national health services. It provides training in the theory and practice of statistics with special reference to clinical trials, epidemiology and clinical or laboratory research.

The PSI Andrew Hewett Prize is founded in memory of Andrew Hewett, an alumnus of the School and awarded by the PSI (Statisticians in the Pharmaceutical Industry) to the best student on the course.
Duration: one year full-time or part-time over two years. Modes of study explained.

- Full programme specification (pdf) (http://www.lshtm.ac.uk/edu/qualityassurance/ms_progspec.pdf)

Visit the website http://www.lshtm.ac.uk/study/masters/msms.html

For the MSc Medical Statistics it is preferred that students should normally have obtained a mathematically-based first degree which includes some statistics. Graduates from other fields who have quantitative skills and some familiarity with statistical ideas may also apply.

Any student who does not meet the minimum entry requirement above but who has relevant professional experience may still be eligible for admission. Qualifications and experience will be assessed from the application.

Intercalating this course

(http://www.lshtm.ac.uk/study/intercalate)

Undergraduate medical students can take a year out either to pursue related studies or work. The School welcomes applications from medical students wishing to intercalate after their third year of study from any recognised university in the world.

Why intercalate with us?:
Reputation: The School has an outstanding international reputation in public health & tropical medicine and is at the forefront of global health research. It is highly rated in a number of world rankings including:

- World’s leading research-focused graduate school (Times Higher Education World Rankings, 2013)
- Third in the world for social science and public health (US News Best Global Universities Ranking, 2014)
- Second in UK for research impact (Research Exercise Framework 2014)
- Top in Europe for impact (Leiden Ranking, 2015)

Highly recognised qualification: possessing a Master's from the School will give you a focused understanding of health and disease, broaden your career prospects and allow you to be immersed in research in a field of your choice.

Valuable skills: you will undertake an independent research project (summer project) in your chosen topic, equipping you with research skills that will distinguish you in a clinical environment. While your medical qualification will give you a breadth of knowledge; undertaking an intercalated degree will allow you to explore your main area of interest in greater depth.

Alumni network: the School has a strong international and diverse alumni community, with more than 20,000 alumni in over 180 countries.

MSc vs. BSc: undertaking an MSc is an excellent opportunity to develop in-depth specialist knowledge in your chosen topic and enhance your skills in scientific research. Postgraduate qualifications are increasingly sought after by clinicians and possessing a Masters qualification can assist you in your future career progression.

Objectives

By the end of this course students should be able to:

- select appropriate study designs to address questions of medical relevance

- select and apply appropriate statistical techniques for managing common types of medical data

- use various software packages for statistical analysis and data management

- interpret the results of statistical analyses and critically evaluate the use of statistics in the medical literature

- communicate effectively with statisticians and the wider medical community, in writing and orally through presentation of results of statistical analyses

- explore current and anticipated developments in medical statistics

Structure

Term 1:
All students take five compulsory modules:
- Foundations of Medical Statistics
- Introduction to Statistical Computing (Stata/SAS/R)
- Clinical Trials
- Basic Epidemiology
- Robust Statistical Methods

Terms 2 and 3:
Students take a total of five modules, one from each timetable slot (Slot 1, Slot 2 etc.). The list below shows recommended modules. There are other modules which can only be taken after consultation with the course director.

*Recommended modules

- Slot 1:
Generalised Linear Models (compulsory)

- Slot 2:
Statistical Methods in Epidemiology (compulsory)

- Slot 3:
Analysis of Hierarchical & Other Dependent Data*
Epidemiology of Non-Communicable Diseases
Modelling & the Dynamics of Infectious Diseases
Social Epidemiology

- Slot 4:
Survival Analysis and Bayesian Statistics (compulsory)

- Slot 5:
Advanced Statistical Modelling*
Advanced Statistical Methods in Epidemiology*

Further details for the course modules - http://www.lshtm.ac.uk/study/currentstudents/studentinformation/msc_module_handbook/section2_coursedescriptions/tmst.html

Project Report

During the summer months (July - August), students complete a research project, for submission by early September. This usually consists of analysing a set of data and writing a report, but methodological research can also be undertaken.

Find out how to apply here - http://www.lshtm.ac.uk/study/masters/msms.html#sixth

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The MSc in Medical Statistics at the University of Leicester is a well-established and successful course based in the Biostatistics and Genetic Epidemiology research groups in the Medical School of the University of Leicester. Read more
The MSc in Medical Statistics at the University of Leicester is a well-established and successful course based in the Biostatistics and Genetic Epidemiology research groups in the Medical School of the University of Leicester. This course is accredited by the Royal Statistical Society. On graduation you will be able to apply for the professional award of Graduate Statistician.

The orientation of the course is applied and vocational; it aims to produce graduates who can immediately work as medical statisticians in pharmaceutical companies, research units and the NHS.

While all necessary theory is covered, the emphasis throughout is on applying and adapting it to real-life circumstances. The central role of IT in implementing modern statistics is constantly emphasised. Students will use statistical software Stata, R, WinBUGS, MLwiN and SAS in a course dedicated computer lab.

The Core Modules

Fundamentals of Medical Statistics, Statistical Modelling, Computational Intensive Methods, Advanced Statistical Modelling, Clinical Trials and Epidemiology.
Choose one optional module from Further Topics in Medical Statistics, Genetic Epidemiology and Health Technology Assessment.
Plus a Research Project during the final 12 weeks of the course
Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.

Modules are taught in week long blocks.

Course aims

The aim of the course is to produce graduates who can immediately work as medical/bio statisticians in pharmaceutical companies, university medical schools, research units and the NHS.

Funding

We have studentships available for 2017 entry, these cover UK/EU fees and may provide living expenses, please contact the Admissions Tutor for details. Eligibility criteria apply.

Key facts for this course are available at http://www2.le.ac.uk/departments/health-sciences/PG/pgt

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Medical Imaging is an essential component of modern medicine, playing a key role in the diagnosis, treatment and monitoring of disease. Read more

Medical Imaging is an essential component of modern medicine, playing a key role in the diagnosis, treatment and monitoring of disease. The Medical Imaging MSc covers:

  • the basic physics involved in the different imaging techniques
  • image formation, pattern recognition and applications in the field of radiology
  • current issues in a modern UK NHS radiology department.

Whilst not a clinical skills course, the teaching of the technical aspects of imaging techniques is firmly grounded and in their clinical usage. Many of our lecturers are at the forefront of research in their field and bring insights from emerging imaging techniques.

This programme is designed for recent graduates preparing for a career in medical imaging, professionals already working in the field, and medical students wishing to intercalate.

More Information

You can study this subject at a MSc, Postgraduate Diploma or Postgraduate Certificate level.

You may transfer from your original programme to another one, provided that you do this before you have completed the programme and before an award has been made. Part-time study is also an option. 

You’ll become familiar with the range of clinical imaging techniques.

By the end of the programme you should be able to:

  • Demonstrate knowledge and understanding of the physical and mathematical aspects of image formation of several techniques;
  • Identify the anatomical and physiological properties of tissue associated with image formation and contrast for several techniques;
  • Analyse and compare the technical performance of various modalities;
  • Demonstrate an understanding of the clinical applications of each technique, the variables involved and how they can be compared;
  • Apply IT in literature searching, analysis and display of data, and report writing to enhance life-long learning in medical imaging;
  • Demonstrate enhancement of their professional skills in communication, problem-solving, learning effectively and quickly, and effective self-management;
  • Critically evaluate relevant published work, demonstrating an understanding of the underpinning principles of statistics, project design and data analysis.

Course structure

PGCert

Compulsory modules:

  • Medical Imaging Core Skills 15 credits

For more information on typical modules, read Medical Imaging PGCert in the course catalogue

PGDip

Compulsory modules :

  • Principles for Medical Imaging Interpretation 15 credits
  • Medical Imaging Core Skills 15 credits
  • Digital Radiography and X-ray Computed Tomography 15 credits
  • Magnetic Resonance Imaging 15 credits
  • Ultrasound Imaging 15 credits
  • Radionuclide Imaging 15 credits
  • Medical Image Analysis 15 credits
  • Research Methods 15 credits

For more information on typical modules, read Medical Imaging PGDip in the course catalogue

MSc

You’ll study modules worth 180 credits. If you study this programme part time you will study fewer modules in each year.

Compulsory modules:

  • Principles for Medical Imaging Interpretation 15 credits
  • Medical Imaging Core Skills 15 credits
  • Digital Radiography and X-ray Computed Tomography 15 credits
  • Magnetic Resonance Imaging 15 credits
  • Ultrasound Imaging 15 credits
  • Radionuclide Imaging 15 credits
  • Medical Image Analysis 15 credits
  • Research Methods 15 credits
  • Research Project 60 credits 

As an MSc student, you undertake a research project in the field of Medical Imaging. New research topics are available each year and include projects in MRI, Ultrasound, X-ray and their clinical application. You'll be asked to state your preferred research project. Before projects are allocated, you are encouraged to meet potential supervisors and discuss the research work.

Learning and teaching

All modules (except for your research project) are taught through traditional lectures, tutorials, practicals and computer based sessions. We also employ blended learning, combining online learning with other teaching methods.

You’ll be taught about the underpinning science of the various imaging modalities, and we cover a range of clinical applications demonstrating the use of medical imaging in modern medicine. Many of the lecturers are at the forefront of research in their particular field and will bring insights from current clinical imaging practice and developments of new and emerging imaging techniques.

Assessment

The taught modules are assessed by coursework and unseen written examinations. Exams are held during the University exam periods in January and May.

The research project is assessed in separate stages, where you submit a 1,000-word essay (20%), a 5,000-word journal-style research article (70%) and make an oral presentation (10%).

Career opportunities

Past graduates have gone on to enter careers in medical imaging or related disciplines, such as radiology and radiography. Often students are already working in the area, and use the skills and knowledge gained in the programme to enhance their careers. Students have gone on to take lecturer or research positions, and have also chosen to take post graduate research degrees (such as a PhD). As a intercalated degree for medical students the programme is useful for students considering radiology or many other medical specialties.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics. Read more
This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.

Why this programme

◾The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
◾Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
◾Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
◾You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
◾You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.
◾You will be taught by world-leading experts in their fields and will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects.
◾Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.

Programme structure

Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Core courses (compulsory)
◾Bayesian statistics
◾Generalised linear models
◾Introduction to R programming
◾Probability 1
◾Regression models
◾Statistical inference 1
◾Statistics project and dissertation.

Optional courses (six chosen, but at least one course must be from Group 1)

Group 1
◾Data analysis
◾Professional skills.

Group 2
◾Biostatistics
◾Computational inference
◾Data management and analytics using SAS
◾Design of experiments
◾Environmental statistics
◾Financial statistics
◾Functional data analysis
◾Machine learning
◾Multivariate methods
◾Spatial statistics
◾Statistical genetics
◾Stochastic processes
◾Time series.

1 Any student who, in the course of study for his or her first degree, has already completed the equivalent of the Probability and/or Statistical inference courses can substitute these courses by any other optional course (including optional courses offered as part of the MRes in Advanced Statistics). The choice of substituting courses is subject to approval by the Programme Director.

Summer (May – August)
Statistics project and dissertation (60) - assessed by a dissertation.

Career prospects

Our graduates have an excellent track record of gaining employment in many sectors including finance, medical research, the pharmaceutical industry and government statistical services, while others have continued to a PhD.

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This award has been designed to facilitate the learning of the generic skills and knowledge essential to successful higher clinical practice. Read more

Overview

This award has been designed to facilitate the learning of the generic skills and knowledge essential to successful higher clinical practice. These areas include an understanding of medical education, ability to appraise research and assess clinical effectiveness, an appreciation of medical ethics and management and leadership skills in the health care setting.

Each module consists of a mixture of types of delivery, some online learning and some face-to-face blocks of teaching, utilising a mixture of seminars, group work and short lectures.

There are a number of core modules and then a wide range of modules that are optional. We have designed the award to be as flexible as possible, including enabling students to study some modules from other Keele awards. This award has been mapped against the revised Good Medical Practice from the General Medical Council and can help you demonstrate your commitment to maintaining your fitness to practice for when recertification is introduced as part of medical relicensing.

Course Content

Each module is given a credit rating within the national Masters framework. These may be transferable from or to other institutions where the learning outcomes are comparable.
- Postgraduate Certificate in Medical Science: 60 credits
- Postgraduate Diploma in Medical Science: 120 credits
- Masters in Medical Science: total 180 credits

(The Masters degree must be completed within five years of registration, the Diploma within four years and the Certificate within three years. It will be possible to complete a Masters Degree in Medical Science in two years.)

Course Modules

- Communication Skills for Health Professionals in Clinical Practice (15 credits) – The module aims to develop excellent communication skills through an approach based on skills and values, to explore the theory and evidence underpinning communication skills teaching and to enable participants to use a skills-based approach to teach others

- Strategic Management of Patients with Long-Term Conditions (15 credits) – The module aims to provide participants with an effective framework for planning, delivering and evaluating care packages for patients with chronic conditions, based on the National Service Frameworks and the principles of clinical governance It explores the natural history, impact and outcomes of chronic disease, using cardiovascular disease, respiratory disease and epilepsy as models

- Contemporary Challenges in Healthcare Ethics and Law (15 credits) – To provide students with a high quality introduction to ethical issues in health care and the knowledge and skills for further work in the subject

- Medical Education (15 credits) – Much of a doctor’s professional life is concerned with facilitating the learning of junior medical staff, as well as contributing to the education of other health professionals and patients. This module blends active learning on a teaching the teachers course with a virtual learning environment online – to enable you to study at a time and place more convenient to you

- Statistics and Epidemiology (15 credits) – A basic appreciation of epidemiology and statistics is invaluable in understanding published literature and in designing studies, both research and audit studies

- Health Informatics (15 credits) – This module aims to acquaint participants with the ways in which information technology can support clinicians, patients and managers

- The Interface between Primary and Secondary Care (15 credits) – This module aims to provide an understanding of UK health care in the context of primary and secondary care providers

- Research Methods (15 credits) – This module aims to introduce students to issues in health research and to research methodology

- Leadership and Management for Healthcare Professionals (15 credits) – A significant part of a clinician’s professional life is spent as a leader and dealing with managers and aspects of management, often despite minimal experience and training in this area

- Clinical Effectiveness – (15 credits) – To familiarise students with the methods and processes of critical evaluation of the professional literature and applying this clinically and as a self-learning model

- Reflective Practice (15 credits) – This module explores the nature of professional practice, using the paradigm of ‘The Reflective Practitioner’. It uses a variety of methods and participants’ current clinical practice to develop skills of ‘reflection in action’

- Contemporary Mental Health Issues in Primary Care (15 credits) – Mental health remains one of the biggest and most challenging areas in primary care practice. There can be significant gaps in the training of new GPs in psychiatric issues and very few universities offer courses in mental health for updating and continuing professional development. This module aims to help reduce the stigma of mental illness amongst clinicians by increasing awareness, knowledge and skills.

Dissertation

The award of an MMedSci follows successful completion of the taught modules which make up the Diploma in Medical Science and submission of a further 60 credits worth of learning. This latter may be a research dissertation in a subject related to the individual’s speciality, in which case all candidates will also be expected to have completed the Research Methods and usually the Statistics and Epidemiology modules. A practice-based project is another possibility such as evaluation of changes implemented in a clinical setting, educational projects, or exploration of ethical dilemmas. It is expected to be a significant piece of work and we encourage all students to consider aiming for publication of their findings.

All candidates will be expected to have a local clinical supervisor for their project and educational supervision will continue to be provided by the award team. Previous experience has shown us that this is an extremely popular component of the Degree. Candidates have often published or presented their dissertation at Regional and National meetings.

Additional Costs

Apart from additional costs for text books, inter-library loans and potential overdue library fines we do not anticipate any additional costs for this postgraduate programme.

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This programme qualifies for the prestigious Data Lab Masters Scholarships. The award covers full tuition fee costs. For further information please see. Read more
This programme qualifies for the prestigious Data Lab Masters Scholarships. The award covers full tuition fee costs. For further information please see: Data Lab Masters Scholarships.

Why this programme

◾The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
◾Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
◾Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
◾You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.
◾You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.
◾You will be taught by world-leading experts in their fields and will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects.
◾Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.

Programme structure

Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Courses include (twelve chosen)
◾Advanced Bayesian methods
◾Advanced data analysis
◾Bayesian statistics
◾Biostatistics
◾Computational inference
◾Data analysis
◾Data management and analytics using SAS
◾Design of experiments
◾Environmental statistics
◾Flexible regression
◾Financial statistics
◾Functional data analysis
◾Generalised linear models
◾Introduction to R programming
◾Linear mixed models
◾Machine learning
◾Multivariate methods
◾Principles of probability and statistics
◾Professional skills
◾Spatial statistics
◾Statistical genetics
◾Stochastic processes
◾Time series
◾Statistics project and dissertation.

Summer (May – August)
Statistics project and dissertation (60) - assessed by a dissertation

Career prospects

Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.

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This Clinical Pharmacology degree programme offers focused training which integrates basic and clinical sciences, and equips students with the essential skills required to function effectively as a clinical pharmacologist in the 21st century. Read more
This Clinical Pharmacology degree programme offers focused training which integrates basic and clinical sciences, and equips students with the essential skills required to function effectively as a clinical pharmacologist in the 21st century. As a student on the MSc Clinical Pharmacology programme, you will acquire core skills, enabling an appreciation of how to apply clinical pharmacological, regulatory and ethical principles to the optimisation of therapeutic practice and clinical research. Crucially, in addition to a firm grasp of the principles of molecular pharmacology, you will also gain foundational knowledge in the emerging science of pharmacogenomics and personalised medicine.

Why this programme

◾This Clinical Pharmacology MSc is one of only a few UK postgraduate programmes that cover clinical pharmacology in sufficient detail to allow you to make an informed choice about pursuing clinical pharmacology as a career.
◾You will learn the basics of molecular genetics and population genetics as applied to pharmacogenetics and gene therapy.
◾You will have the opportunity to gain hands-on experience in molecular methods and analysis along with critical interpretation of genomic literature. This will enable you to analyse, synthesise and formulate an action plan for personalised patient care.
◾You will gain the knowledge and experience necessary to engage in and contribute to discussions about therapeutic issues in the commercial and academic research environments. As part of the MSc Clinical Pharmacology degree, you will undertake your own research project under expert supervision, which will allow you to consolidate your knowledge and apply the skills you have acquired.
◾At every stage of the MSc Clinical Pharmacology you will benefit from the close involvement of clinical academics and visiting lecturers from the pharmaceutical industry and national drug regulatory bodies: the programme is specifically designed to prepare graduate for future senior roles within the pharmaceutical medicine. Guest lecturers have recently included staff from Pfizer, Servier, Johnson & Johnson and the Scottish Medicines Consortium.

Programme structure

You will attend lectures, seminars and tutorials and take part in lab, project and team work.

Core courses
◾Principles of Pharmacology
◾Drug Disposition
◾Pharmaceutical Medicine
◾Topics in Therapeutics – General Topics and Cardiovascular Drugs
◾Topics in Therapeutics – Commonly Used Drugs
◾Medical Statistics 1
◾Medical Statistics 2
◾Pharmacogenomics & Molecular Medicine – Fundamentals of Molecular Medicine
◾Pharmacogenomics & Molecular Medicine – Applied Pharmacogenomics & Molecular Medicine

In addition you will undertake a dissertation/project.

Career prospects

Career opportunities include positions in academia, health care and the pharmaceutical industry; returning to more advanced positions within a previous clinical environment (eg pharmacicts, clinicians); and PhD study.

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Governments, insurers, health care organisations and the pharmaceutical industry need to analyse the costs and benefits of health-related strategies. Read more

About the course

Governments, insurers, health care organisations and the pharmaceutical industry need to analyse the costs and benefits of health-related strategies. Currently there is an international shortage of qualified specialists in this area. This course is ideal preparation for a career as a professional health economist or modeller.

Your career

We can help you develop the skills and knowledge you need to understand and improve health services: analytical skills, critical thinking and in-depth knowledge of your discipline. We offer postgraduate courses for health and social care professionals, managers and anyone planning a career in health services research.

Our graduates work in public health, the private sector, health services management, and health and social care, all over the world. They also go on to further public health training or academic research.

An international academic community

As one of the largest multi-disciplinary schools of public health and health services research in the UK, ScHARR is a rich academic community. You will be taught by world-leading experts in health economics, public health sciences, the sociology of health, health psychology, decision analysis, management sciences, epidemiology, medical statistics and information science. They include members of The Academy of Medical Sciences, the Royal Pharmaceutical Society and the Royal Society of Public Health. The 2014 Research Excellence Framework (REF) rates us fourth in the UK for research power.

Our staff and students come from all over the world and offer international perspectives to all our courses.

Flexible study routes

We offer both traditional campus-based and online courses. Our high quality online courses are taught by the same expert academic staff who teach our courses in Sheffield and offer an alternative to coming to the UK. Guided by our staff, you can study at a pace that suits your personal circumstances. This can be an effective route for those who need to continue to work while they study. Postgraduate certificates and diplomas are also available.
You can also study individual modules as Continuing Professional Development (CPD). See the ScHARR web pages for details of available modules. For LBR and CPD information, visit: http://www.sheffield.ac.uk/hsccpd

Facilities

You’ll have 24/7 access to library and computing facilities. We provide specialist information and library services in our information resources section.

Course content

Cost-effectiveness Modelling for Health Technology Assessment; Introduction to Health Economics; Economic Evaluation; Health Research Methods; Medical Statistics and Evidence Synthesis; Operational Research Techniques in Health Resource Allocation; Advanced Simulation Methods; Valuing the Benefits of Health Care; Dissertation.

Teaching and assessment

You’ll be taught through lectures, seminars, tutorials and independent study. Assessment is by coursework, examinations and a dissertation.

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This programme will prepare you for a challenging rewarding career to improve the health of individuals and communities. You will develop essential skills in epidemiology, quantitative and qualitative research methods, medical statistics and health improvement and in devising effective public health programmes. Read more

Summary

This programme will prepare you for a challenging rewarding career to improve the health of individuals and communities. You will develop essential skills in epidemiology, quantitative and qualitative research methods, medical statistics and health improvement and in devising effective public health programmes.

We offer pathways in intelligence, global health and nutrition, to equip you for professional practice in these specialisms.

We draw on the professional experience from academic researchers and practitioners from across the University, including medicine, social sciences, demography, geography and law. Accreditation: International Union for Health Promotion and Education (MSc PH) and UK association for Nutrition (MSc PH(N)). Available full-and part-time and as a PG Dip and PG Cert.

Core modules: Epidemiology; Medical Statistics and Qualitative Methods for Public Health; Enabling Change for Health Improvement; Development and Implementation of Policies and Strategies Public health programme: Advanced Statistical Methods for
Epidemiology; Communicable Disease Control; Developing Public Health Practice; Food Systems; Health Care Organisation and Evaluation; Health Economics; Population, Poverty and Policy; Public Health, Law and Ethics

Nutrition pathway: Assessment of Nutritional Status; Food Systems; Nutrition in Harsh Environments

Intelligence pathway: Core skills in Geographical Information Systems (GIS); GIS for Analysis of Health; GIS for Healthcare Management

Global Health pathway: Critical Issues in Global Health: Concepts and Case Studies; Demographic Methods 1;
Methods and Analysis of Global Health Trends and Differentials

Visit our website for further information...



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This new course is run in conjunction with the Medical Statistics Group in the University’s School of Health and Related Research (ScHARR). Read more

About the course

This new course is run in conjunction with the Medical Statistics Group in the University’s School of Health and Related Research (ScHARR). Accredited by the Royal Statistical Society, it provides professional training for a career in the medical, pharmaceutical and health services industries. The course is based on the MSc Statistics with additional training in specialist areas of medical applications.

Your career

Our graduates go into finance, manufacturing and pharmaceuticals. They work for government agencies and research institutes with major organisations such as First Direct, GlaxoSmithKline, Marks and Spencer, the Government Statistical Service and Medical Research Council units. Our courses can also prepare you for PhD-level research.

About us

Our academics are in demand. They are members of international societies and organisations, and they speak at conferences around the world. They bring new ideas into the classroom so you can see how research is improving on existing approaches. Our solar scientists were the first to record musical sounds created by vibrations in the sun’s atmosphere.

Our Statistical Services Unit works with industry, commerce and the public sector. The services they provide include consultancy, training courses and computer software development.

Different ways to study

You can study full-time over a year or part-time over two to three years via online distance learning. The MSc Mathematics is only available as a full-time course.

Studentships

You may be able to get funding from the University or an external company. Course-specific studentships may also be available. You should apply for these as soon as possible.

Core modules

Data Analysis; Statistical Laboratory; Linear Models; Epidemiological Methods and Time Series; Bayesian Inference and Further Clinical Trials; Sampling, Design and Medical Statistics.

Teaching and assessment

There are lectures, tutorials and computing sessions. You’ll do group work, presentations and role play. Most statistics lectures are recorded so you can watch them again later.

The distance learning option is taught online with support via email and phone. Distance learners also come to the University for residential weeks. You’re assessed by exams, project work and a dissertation.

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Statistical science skills are powerful tools that play a valuable role in all pure and applied sciences as well as in finance, law and marketing. Read more
Statistical science skills are powerful tools that play a valuable role in all pure and applied sciences as well as in finance, law and marketing. New and exciting opportunities in industry, medicine, government, commerce or research await the graduate who has gained the quantitative skills training provided by this MSc.

Degree information

The programme uses a broad-based approach to statistics, providing up-to-date training in the major applications and an excellent balance between theory and application. It covers modern ideas in statistics including applied Bayesian methods, generalised linear modelling and object-oriented statistical computing, together with a grounding in traditional statistical theory and methods.

Students undertake modules to the value of 180 credits.

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

Core modules
-Foundation Course (not credit bearing)
-Statistical Models and Data Analysis
-Statistical Design of Investigations
-Statistical Computing
-Applied Bayesian Methods

Optional modules
-Decision and Risk
-Stochastic Systems
-Forecasting
-Statistical Inference
-Medical Statistics I
-Medical Statistics II
-Stochastic Methods in Finance I
-Stochastic Methods in Finance II
-Factorial Experimentation
-Selected Topics in Statistics
-Bayesian Methods in Health Economics
-Quantitative Modelling of Operational Risk and Insurance Analytics

Dissertation/report
All MSc students undertake an independent research project, culminating in a dissertation of approximately 10,000–12,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, tutorials and classes, some of which are dedicated to practical work. External organisations deliver technical lectures and seminars where possible. Assessment is through written examination and coursework. The research project is assessed through the dissertation and a 15-minute presentation.

Workshops running during the teaching terms provide preparation for this project and cover the communication of statistics e.g. the presentation of statistical graphs and tables.

Careers

Graduates typically enter professional employment across a broad range of industry sectors or pursue further academic study.

Top career destinations for this degree:
-Management Associate, HSBC
-Statistical Analyst, Nielsen
-PhD Statistics, University College London (UCL)
-Mortgage Specialist, Citibank
-Research Assistant Statistician, Cambridge Institute of Public Health

Employability
The Statistics MSc provides skills that are currently highly sought after. Graduates receive advanced training in methods and computational tools for data analysis that companies and research organisations value. For instance, the new directives and laws for risk assessments in the banking and insurance industries, as well as the healthcare sector, require statistical experts trained at graduate level. The large amount of data processing in various industries (known as "data deluge") also necessitates cutting-edge knowledge in statistics. As a result, our recent graduates have been offered positions as research analysts or consultants, and job opportunities in these areas are increasing.

Why study this degree at UCL?

One of the strengths of UCL Statistical Science is the breadth of expertise on offer; the research interests of staff span the full range from foundations to applications, and make important original contributions to the development of statistical science.

London provides an excellent environment in which to study statistical science, being the home of the Royal Statistical Society as well as a base for a large community of statisticians, both academic and non-academic.

The Statistics MSc has been accredited by the Royal Statistical Society. Graduates will automatically be granted the society's Graduate Statistician status on application.

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This UK masters in Sports and Biomechanical Medicine programme is designed to cover a wide variety of sport-related topics including. Read more
This UK masters in Sports and Biomechanical Medicine programme is designed to cover a wide variety of sport-related topics including:

research design and medical statistics
measurement systems in motion analysis
biomechanics in sport
sports injury management and rehabilitation
dissertation on a substantive laboratory-based or focused research project in the field of sports rehabilitation and biomechanics

We offer you a wide ranging curriculum that will help you to achieve your career goals no matter what your speciality. Our distinguished visiting lecturers are specialists at the forefront of sport, sports injury, biomechanics, exercise physiology and other sports medicine related areas. You will have access to:

Fully equipped Sports Lab (Institute of Motion Analysis and Research)
Opportunities to publish your research in peer-reviewed sports journals
Lectures from leading multi-disciplinary teaching faculty from medicine, sports and biomechanics
Close working relationships with the University of Dundee's Institute of Sports & Exercise (ISE)
Facilities within Ninewells, a large, modern teaching hospital

Graduates from this sports MRes will be able to use their skills and knowledge to successfully increase their level of integration of sport and exercise medicine within their respective professions and disciplines at an advanced practitioner level. Graduates will be able to contribute to team work with a greater understanding of the inter-relationship between movement mechanisms, the fundamental nature of human performance at all levels and clinical outcome.

Aims of the programme

After completing the course, you will be able to demonstrate:

Expert knowledge on the roles of physical activity and sports exercise in rehabilitation.
The means and techniques to ensure athletes and sports people can perform to their maximum capacity whilst limiting the injury process.
The ability to use your skills and knowledge to successfully increase your level of integration of sport, biomechanics, exercise medicine and rehabilitation within your respective profession or discipline.
The skills and knowledge to undertake a substantive research project in your specialty. You will gain new insights and also the foundations for studying for a higher research degree.

What you will study

The MRes programme consists of five mandatory modules.

Taught modules: 90 credits

Research Project: 90 credits

Module 1: Research Design and Medical Statistics
Module 2: Biomechanics in Sport
Module 3: Measurement Systems in Motion Analysis
Module 4: Management of Soft Tissue and Sports Injuries and Rehabilitation
Module 5: Research Project
After completing the research project, the Master of Research (a minimum of 180 credits) will be awarded.

How you will be taught

Teaching of this MRes Sports Biomechanics and Rehabilitation will primarily be through a combination of flexible learning modules and formal lectures.

Assignments and coursework will foster the development of an enquiry-led, self-directed student approach to learning.

Assessment of modules 1-4 will be by examination upon completion of each individual module and a summative assessment on completion of all four modules. Assessment is weighted - 80% exam and 20% coursework.

During the research project, learning will be partly experiential, partly directed and partly self-directed. The research project will be assessed through the presentation of a dissertation, and the final mark will be moderated through an oral exam in Dundee (90 credits).

Careers

This MRes Sports Biomechanics and Rehabilitation will prepare graduates for a research-focused clinical graduate career in either the NHS or academia, and is particularly well positioned to prepare for entry into a clinical academic career path if you are a clinical graduate. Those students not already in academia or the NHS will broaden their scope of being able to do so and additionally benefit from the multitude of opportunities in the public and private sectors involving sport and exercise.

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