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Masters Degrees (Biostatistics)

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The Master of Biostatistics was established by the Biostatistics Collaboration of Australia to meet the increasing demand for well-trained biostatisticians. Read more

Overview

The Master of Biostatistics was established by the Biostatistics Collaboration of Australia to meet the increasing demand for well-trained biostatisticians.

See the website http://courses.mq.edu.au/international/postgraduate/master/master-of-biostatistics

Key benefits

- Provides advanced biostatistical training for a diverse range of students
- Offers a sound mathematically based grounding in statistical methods with a strong emphasis on applications in all areas of health and medical research

Suitable for

This degree is primarily aimed at those wishing to become highly trained professional biostatisticians. Candidates should possess an aptitude for advanced mathematics.

English language requirements

IELTS of 6.5 overall with minimum 6.0 in each band, or equivalent

All applicants for undergraduate or postgraduate coursework studies at Macquarie University are required to provide evidence of proficiency in English.
For more information see English Language Requirements. http://mq.edu.au/study/international/how_to_apply/english_language_requirements/

You may satisfy the English language requirements if you have completed:
- senior secondary studies equivalent to the NSW HSC
- one year of Australian or comparable tertiary study in a country of qualification

Careers

- Accreditation
The degree is accredited by the Statistical Society of Australia.

- Career Opportunities
The Master of Biostatistics course will allow you to develop a specialist career role in health-related research or health services. Biostatistical expertise is in very high demand in many areas. Possible job settings include medical and epidemiological research, the pharmaceutical industry, and government departments and agencies.

Employers
- Australian universities
- government and non-government organisations
- pharmaceutical companies

See the website http://courses.mq.edu.au/international/postgraduate/master/master-of-biostatistics

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The science of epidemiology underpins public health policy, dental science and health services research, and employs a large number of researchers around the world. Read more

The science of epidemiology underpins public health policy, dental science and health services research, and employs a large number of researchers around the world.

Biostatistics is the science of collecting, analysing, presenting and drawing inferences from data for research in medicine and health. Understanding of context is vitally important as methods developed in one area of statistics can be misleading when unthinkingly applied elsewhere.

The MSc in Epidemiology and Biostatistics has been developed to meet the growing need for the research community to possess excellence in biostatistical analysis, especially for the analysis of observational data.

You’ll learn a wide range of contemporary statistical methods and, most importantly, when and where they should be applied.

Graduates of this course have a wide range of career options, and are in demand in universities, government, national health services, non-government organisations and industry.

More information

You'll be part of a world-renowned School and will be taught by internationally recognised scholars.

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

Course content

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

You’ll take common core (compulsory) modules, including our innovative Professional Spine module, designed to give you the skills and experience to work effectively in research, public health or health services research. It includes, for example, ethics, academic writing for publication, consultancy, management and leadership skills.

Specialist themes

You focus on one of these specialist themes, selecting up to three modules within it:

Statistical Epidemiology – you specialise in the advanced statistical methods that play a crucial part in modern epidemiological research. This includes latent variable methods (allowing models to vary across different subgroups of the patient population and multilevel techniques) taking into account the complex hierarchy of patients treated by clinical teams within hospitals.

Non-communicable Disease Epidemiology – you specialise in the epidemiology of diseases such as coronary heart disease, diabetes, cancer and congenital anomalies that are a leading cause of death worldwide. As well as understanding the biology, causes and trends of these diseases, you will also explore exposures (such as diet, chemicals, radiation, toxicology and lifestyle factors) including measurement, validation and study design.

Applied Population Health – you specialise in understanding the core principles underpinning a population health perspective and the practical application of population health sciences for improving health. Students will explore the application of epidemiology in understanding health and well-being and designing, delivering and evaluating preventative interventions.

Research project

The programme culminates in your research project, supervised by leading researchers in their field. In collaboration with the teaching team, you’ll choose, design, conduct and write your research project, tailored to your chosen specialism. You, can design a project yourself or can choose from a range designed by the supervisors.

The final outcome will be to write up a paper, suitable for journal publication. We’ll encourage you to submit the article, using our experience and reputation to help you.

Course structure

Compulsory modules

  • Research Project 60 credits
  • Core Epidemiology 15 credits
  • Introduction to Modelling 15 credits
  • Statistical Inference 15 credits
  • Professional Spine 15 credits

For more information on typical modules, read Epidemiology and Biostatistics MSc Full Time in the course catalogue

For more information on typical modules, read Epidemiology and Biostatistics MSc Part Time in the course catalogue

Learning and teaching

We blend face-to-face teaching with technology to enhance your learning experience. Self-directed online learning lets you study at a pace that suits you, whilst face-to-face support allows you to explore individual areas of difficulty and extend your understanding.

You’re likely to experience:

  • small-group teaching with an expert in the field, including some modules with the opportunity to mix with students from other disciplines
  • teaching in computer clusters to help you rapidly gain the skills required with statistical packages
  • online workbooks with relevant links for further research
  • online audio-visual presentations (vodcasts)
  • online help files and sample data sets with worked examples, which support all the statistical packages
  • experiential learning as part of the research team for your research project
  • continuous formative and summative assessment, and feedback.

Assessment

We understand the importance of assessment and feedback in your learning. We provide assessment in as many modules as possible so that you can gauge your understanding of the key concepts.

You’ll get feedback in a variety of ways: through informal discussion with tutors, written feedback from formative assessments, marks obtained in both formative and summative assessments and peer-review from presenting projects and data.

Each module contains a summative assessment component (a more formal evaluation). Some of these will be done via continuous in-course assessment, and some as end-of-module assessment.

Our assessment and feedback will use a number of methods:

  • Online assessment using QuestionMark, which allows a flexible set of responses, marks the assessment immediately and provides both results and more structured feedback.
  • Short answer questions to test understanding of more complex methods and scenarios.
  • Project reports that allow deeper exploration of a topic.
  • Other methods to fit the skills and knowledge under test, eg presentation of data.
  • For the overall research project, regular meetings with your supervisor to monitor your progress and give feedback.


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Biostatistics is the science of analyzing and interpreting biomedical data. As a discipline it is driven by a strong interaction between problems from biomedical research and rigorous mathematical analysis. Read more
Biostatistics is the science of analyzing and interpreting biomedical data. As a discipline it is driven by a strong interaction between problems from biomedical research and rigorous mathematical analysis. Complex scientific challenges require the development of new and appropriate statistical methods. Currently such challenges emerge, for example, in environmental and infectious disease epidemiology, personalized and evidence-based medicine and molecular life sciences, especially genomics, proteomics, epigenomics.

The Master Program in Biostatistics of the Univeristy of Zurich is specialized master program, hence it is a useful and direct continuation of a bachelor degree in all fields that include quantitative aspects, e.g. mathematics, physics, biology, computer science etc. Students interested and talented in logical reasoning, quantitative analysis, interdisciplinary science and research in the life sciences in general are suitable candidates for the program.

The program is based on the cooperation between the Institute of Mathematics in the Faculty of Science and the Division of Biostatistics of the Institute of Social and Preventive Medicine in the Faculty of Medicine. This broad basis allows to offer an education which provides graduates besides a classical training in biostatistics with a vast perspective on statistical approaches and challenges in the life sciences. It is the only - to date - specialized program for the training of biostatisticians in Switzerland. The entire program is taught in English.

Applications are expected by September 15 of the previous year for the spring semester and by February 15 of the same year for the fall semester. Single documents that are not available before the application deadline can be filed subsequently. It is recommended to start the program in the fall semester. See the website for necessary documents.

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This Masters in Biostatistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics; previous study of statistics is not required. Read more
This Masters in Biostatistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics; previous study of statistics is not required.

Why this programme

◾The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
◾Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.
◾Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
◾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.

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
◾Biostatistics
◾Generalised linear models
◾Introduction to R programming
◾Probability 1
◾Regression models
◾Statistical inference 1
◾Statistics project and dissertation.

Optional courses (five chosen, but at least one course must be from Group 1)
Group 1
◾Data analysis
◾Professional skills.

Group 2
◾Data management and analytics using SAS
◾Design of experiments
◾Functional data analysis
◾Spatial statistics
◾Statistical genetics
◾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) - applying statistical methods and modelling to data collected from research in a biomedical discipline, 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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We offer MSc and PhD degrees in Epidemiology & Biostatistics. Degrees with a specialization in Biostatistics are offered through a collaborative program with the Department of Statistics and Actuarial Sciences. Read more
We offer MSc and PhD degrees in Epidemiology & Biostatistics. Degrees with a specialization in Biostatistics are offered through a collaborative program with the Department of Statistics and Actuarial Sciences. Students are exposed to a full breadth of policy-relevant methodologies from the fields of epidemiology, biostatistics, health services research, health economics, genetic epidemiology, and program evaluation.

Visit the website: http://grad.uwo.ca/prospective_students/programs/program_NEW.cfm?p=50

How to apply

For information on how to apply, please see: http://grad.uwo.ca/prospective_students/applying/index.html

Financing your studies

As one of Canada's leading research institutions, we place great importance on helping you finance your education. It is crucial that you devote your full energy to the successful completion of your studies, so we want to ensure that stable funding is available to you.
For information please see: http://grad.uwo.ca/current_students/student_finances/index.html

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Biostatistics is the application of statistical techniques to scientific research in health-related fields, including medicine and public health. Read more
Biostatistics is the application of statistical techniques to scientific research in health-related fields, including medicine and public health.

Biostatisticians play essential roles in designing studies, using statistics to analyse data and creating methods to solve research problems. Our courses provide advanced biostatistical training for a diverse range of students with an aptitude for advanced mathematics and are delivered by distance learning.

To ask a question about this course, visit http://sydney.edu.au/internationaloffice/

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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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Epidemiology is the study of the distribution of diseases in populations and their underlying causes, and its application to disease prevention and control. Read more
Epidemiology is the study of the distribution of diseases in populations and their underlying causes, and its application to disease prevention and control.

The MSc in Epidemiology offers training in the methodology, design, conduct and interpretation of epidemiological studies on chronic and infectious diseases.

It is particularly suitable for students who wish to acquire skills in epidemiology and biostatistics and wish to get involved with research projects.

In the first term, all students follow a common core pathway covering epidemiological methods, biostatistics, and infectious and chronic disease epidemiology.

In the second term, you either continue your studies in a common pathway or follow a specialised stream in Biostatistics, Environmental and Chronic Disease Epidemiology, or Infectious Disease Epidemiology.

The third term consists of a research project.

Upon completion of this course, students usually develop an academic career by beginning a PhD or move on to work for public health organisations, pharmaceutical companies or non-governmental agencies.

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The program normally requires a minimum of two years of full-time study and a maximum of three years with the first eight months devoted primarily to course work. Read more

Program Requirements

The program normally requires a minimum of two years of full-time study and a maximum of three years with the first eight months devoted primarily to course work. It enables students to gain core knowledge and skills in epidemiology and biostatistics methods, health services and policy research, or population health to develop research experience by applying these methodologies to a research project under the supervision of a supervisory committee.

The minimum requirement for an M.Sc. is 30 credits, including 13.5 credits of core courses plus the M.Sc. thesis (12 credits). However, the actual courses required are at the discretion of program supervisors; often the number of credits required ranges between 36 and 42.

Quick Facts

- Degree: Master of Science
- Specialization: Population and Public Health
- Subject: Health and Medicine
- Mode of delivery: On campus
- Program components: Coursework + Major Project/Essay required
- Faculty: Faculty of Medicine

Research focus

Epidemiology, clinical epidemiology, biostatistics, community health, global health, health services management and planning, health services research, health-care policy, occupational and environmental health, and preventive medicine and health promotion.

Related Study Areas

The program enables students to gain core knowledge and skills in epidemiology and biostatistics methods, health services and policy research, or population health to develop research experience by applying these methodologies to a research project under the supervision of a supervisory committee.

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This fully online (international onshore students are required to study the course on-campus), multidisciplinary degree is designed for health professionals seeking to develop their skills and knowledge in public health, while continuing to work. Read more
This fully online (international onshore students are required to study the course on-campus), multidisciplinary degree is designed for health professionals seeking to develop their skills and knowledge in public health, while continuing to work. If you already work in public health, or want to move into this field, this course can prepare you for advancement in your organisation or field, providing you with practical skills and helping you to broaden your knowledge and skill set.

You will gain a thorough grounding in the major areas of public health and also have the opportunity to specialise in your area of interest. In your first year you will undertake a number of core units including epidemiology and biostatistics, health promotion, health policy, public health nutrition and climate change. In your second year you will choose one of the following streams to specialise in:

-Applied epidemiology and biostatistics: epidemiology, geographic information systems, epidemiology of infectious diseases and advanced applied biostatistics
-Public health: public health nutrition practice, organisation of healthcare systems, epidemiology of infectious diseases and health partnerships, politics and power
-Health promotion: health promotion method, health promotion in challenging contexts, evaluation of health promotion, health promotion, media and advocacy
-Health policy and management: organisational ad healthcare system, leadership in healthcare, introduction to health economics, health planning and evaluation

In your second year you will also have the opportunity to carry out research under the guidance of an academic supervisor. You can choose between two research pathways. The first is a 50-credit research project, which you combine with two optional units. For the full list of units, please refer to the Curtin Handbook. The second pathway is more research intensive and comprises a 100-credit research dissertation related to your employment or area of interest.

Master of Public Health students come from a variety of fields, including medicine, nursing, psychology, physiotherapy, pharmacy, dentistry, biomedical and lab-based sciences, nutrition, occupational therapy, occupational health, environmental health, health promotion, statistics and management, among others. 



As a graduate, you may work in a number of fields, including health administration, health protection and health promotion. You may work in the public sector or with non-government organisations, such as the Heart Foundation, the Cancer Council, Red Cross, research institutes, universities and with international bodies like the World Health Organization.

Credit for previous study

Applications for credit for recognised learning (CRL) are assessed on an individual basis.

Applicants who have completed the Graduate Certificate in Public Health or Postgraduate Diploma in Public Health or equivalent may apply for CRL.

Applicants with at least two years’ post-bachelor work experience may apply for up to one semester (100 credits) of CRL.

How this course will make you industry ready

-The curriculum is designed from a global public health perspective. You will be collaborating with peers from all over the world.
-There are a number of study options available including fully online, full-time or part-time study.
-You will acquire important knowledge and skills, which will benefit you from day one and help you make a difference in your current role.
-You will be taught by highly qualified and experienced teaching staff.

2016 Curtin International Scholarships: Merit Scholarship

Curtin University is an inspiring, vibrant, international organisation, committed to making tomorrow better. It is a beacon for innovation, driving advances in technology through high-impact research and offering more than 100 practical, industry-aligned courses connecting to workplaces of tomorrow.

Ranked in the top two per cent of universities worldwide in the Academic Ranking of World Universities 2015, the University is also ranked 25th in the world for universities under the age of 50 in the QS World University Rankings 2015 Curtin also received an overall five-star excellence rating in the QS stars rating.

Curtin University strives to give high achieving international students the opportunity to gain an internationally recognised education through offering the Merit Scholarship. The Merit Scholarship will give you up to 25 per cent of your first year tuition fees and if you enrol in an ELB program at Curtin English before studying at Curtin, you will also receive a 10 per cent discount on your Curtin English fees.

For full details and terms and conditions of this scholarship, please visit: curtin.edu/int-scholarships and click on Merit.

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This course is designed for dentists who wish to advance their knowledge of this clinical specialty at a postgraduate level. There are four separate units. Read more
This course is designed for dentists who wish to advance their knowledge of this clinical specialty at a postgraduate level.

There are four separate units: Research Methods (15 credits); Biostatistics (15 credits); Specialist Clinical Component (90 credits); and, for MSc students, a dissertation (60 credits).

In the cases of the Research Methods and Biostatistics units, the aim is to enable you to become competent in the design, data collection, and simple analysis and interpretation of clinical research projects.

The aim of the Specialist Clinical Component is to give you an understanding of the scientific basis of oral and maxillofacial surgery with particular emphasis on current theories relevant to the diagnosis, treatment planning and clinical management of patients. The evidence base supporting clinical surgical practice is emphasised.

The Specialist Clinical Component permits observation of a wide range of surgery including facial trauma, implant and reconstructive, cancer and reconstructive, salivary gland and orthognathic surgery, as well as participation in dentoalveolar surgery.

The aim of the dissertation (for MSc students only) is to offer research training in identification, formulation and implementation of a specific research project. The research project is in line with the research themes of control of pain and anxiety or surgical implantology or oral cancer and health services research.

Aims

The course aims to provide dental practitioners with the knowledge and skills to undertake minor oral surgery in the context of a wider knowledge of oral and maxillofacial surgery.

Teaching and learning

Teaching and learning methods are designed to encourage you to take responsibility for your own learning and to integrate work with formal educational activities.

The core text book for the course is provided. This book, Master Dentistry Oral and Maxillofacial Surgery, Radiology, Pathology and Oral Medicine (ISBN 0443061920), has been produced by Division of Dentistry staff: Coulthard, Horner, Sloan and Theaker.

Coursework and assessment

Assessment is by essay and SBA's throughout the course and related to the taught units. You will also maintain a clinical surgical logbook and undertake a clinical competency test. There is also an oral examination.
-Research Methods: Formal assessment takes the form of two tutor marked assignments
-Biostatistics: Formal assessment takes the form of two tutor marked assignments
-Clinical component: This is assessed by written examination and clinical examination in the form of an oral presentation
-Dissertation (10,000-15,000 words)

Career opportunities

The course prepares you for a future career in clinical practice, teaching or research.

Some graduates return to established surgical practice whilst for many this degree forms the first step in training and they go on to pursue specialist clinical training and appropriate clinical examinations.

Graduates may find their advanced knowledge a good foundation for surgical dentistry, oral surgery or oral and maxillofacial surgery practice. Some graduates proceed to undertake higher research degrees such as MPhil or PhD.

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A competitive international Master of Public Health in Comparative Effectiveness Research offered in English in Paris by internationally renowned Professors from Europe. Read more
A competitive international Master of Public Health in Comparative Effectiveness Research offered in English in Paris by internationally renowned Professors from Europe

Objectives

This new Master of Science is delivered in English and aims at international students who want to acquire interdisciplinary skills to evolve in the field of Comparative Effectiveness Research. The programme is limited to 30 students, a small group size that will allow professors to use highly interactive and innovative teaching methods including work in small groups. The goal of the programme is to acquire strong skills in methods, epidemiology, clinical epidemiology, biostatistics and public health.

Curriculum

The Master of Public Health in Comparative Effectiveness Research is a second-year course that is a part of a two-year Master in Public Health programme (60 ECTS). This Master’s programme comprises 10 modules, which are delivered through a range of interactive learning strategies. The programme includes the latest methods and advances in the field of CER, epidemiology and biostatistics. Courses will include applied, hands-on sessions allowing the use of various epidemiological methods, statistical methods, and analysis of various types of data.

Classes are full-time and take place from October to December. Each week is dedicated to one module that is delivered by two outstanding international lecturers.

Internship

Upon the completion of formalised courses and after the validation exams in January, students will have to complete a five-month internship. The internship can take place in France or abroad, in public health agencies and companies, in research laboratories, etc. and is supervised by a senior researcher.

In addition to the international teaching setting, students will also benefit from the vast professional and academic network maintained by the French and international faculty members. Indeed, the Master of Public Health in comparative effectiveness research is managed at the Centre of Research in Epidemiology and Statistics Sorbonne Paris Cité, and maintains close links with several professional networks, including the Cochrane Collaboration, the EQUATOR Network, the CONSORT Network and INSERM.

Internships will strengthen the connection and pooling of research discoveries between the academic and non-academic partners, encourage the acquisition of the transferable skills needed to succeed in a 21-century research setting and ensure a smooth transition to the professional world.

The awarding of the Master’s degree will depend on successful completion of the formalised courses, the internship and the thesis defence.

Career prospects

The following career paths could be pursued after the completion of the current Master’s programme: continuation into a PhD degree, joining research agencies (R&D), NGOs, think-tanks, government or international agencies working on health issues, and many other professional opportunities.

Courses

The courses included in the programme will address comparative effectiveness research, “the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care”.

Top-level professors

The teachings of the Master of Public Health in Comparative Effectiveness Research are offered by Paris Descartes University that encompasses all the fields of knowledge of human and health sciences. Its health department is renowned in Europe and in the whole world for the high quality of its training and the excellence of its research.

This is a unique opportunity to get a specialised Master in Comparative Effectiveness Research, a first of its kind in Europe, offered by top-level professors coming from Paris Descartes University, Paris Diderot University but also from the best European universities such as Amsterdam University, Danube University Krems, the University of Bern, Oxford University, Queen’s University Belfast, Manchester University, and York University.

Application form

You can upload the necessary document and apply online (see below). Your application will not be processed until we have received all the required documents. Application documents must be submitted in English in .doc, .pdf or in .jpg extensions.

- A duly filled out application form (to download) - http://www.mastercer.com/download/application-form/
- A personal statement addressing your interest in a specific programme and your future career goals (400 – 600 words)
- Curriculum vitae, please use this template to create your CV - https://europass.cedefop.europa.eu/
- A scanned copy of your last or relevant diploma and its translation if it is not in English or in French
- Transcripts of your Master’s degree or your first year master’s degree + their translation if they are not in English or in French
- Two recommendation letters
- Evidence of English language proficiency

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This programme offers a fascinating range of subjects, including molecular biology, genetics, biochemistry, microbiology, immunology, tissue engineering, clinical medicine, laboratory management and statistics. Read more
This programme offers a fascinating range of subjects, including molecular biology, genetics, biochemistry, microbiology, immunology, tissue engineering, clinical medicine, laboratory management and statistics.

It is accredited by the Institute of Biomedical Science and is based at one of the largest transfusion centres in the world, enabling visits to manufacturing, testing and tissue typing sections. You will learn from specialist lecturers based at the University, NHS Blood and Transplant (NHSBT), and NHS hospitals, and have an opportunity to become fully embedded in an NHS environment while you develop your knowledge.

The programme will give you extensive practical experience of transfusion and transplantation, allowing you to gain skills that directly relate to your future career. As well as being academically interesting, this continually developing area of healthcare science has a major impact on patients' quality of life.

The programme:
-Is one of just two specialist full-time courses in transfusion and transplantation, and is a recommended course at level seven in the Career Framework for Health.
-Gives you the opportunity to carry out your MSc project with NHSBT research staff within the transfusion centre.
-Has high contact hours, with teaching each day and practical classes.
-Includes a large skills component (eg writing in different formats, conference and publication skills, assignments with specific study aims).
-Includes laboratory management, a key skill required at level seven.
-Attracts a diverse range of students (about 50 per cent overseas students), including new graduates, those working in blood centres or blood transfusion/haematology in hospitals, or training to lecture in transfusion.

Programme structure

The programme comprises eight taught units that run from September to March and a research project that begins in May and runs until August. Example project topics have included:
-A study on red cell antibody formation in trauma patients
-Optimisation of platelet antigen detection using recombinant proteins
-Expression of red cell membrane proteins during large-scale red cell culture
-A comparison of stem cell mobilisation drugs for stem cell transplantation

Taught units
-Transfusion and Transplantation Science:
-Pathology of Transfusion and Transplantation Science
-Provision of Blood, Cells, Tissues and Organs
-Clinical Transfusion and Transplantation
-Transfusion and Transplantation in Practice (two units)
-Biostatistics
-Research and Laboratory Management

Assessments are designed to teach skills such as comprehension, scientific writing in different formats and conference skills, and to further knowledge in subject areas not covered in the lectures. Students must pass the taught component to be able to progress to the project.

Part-time students complete the Postgraduate Certificate components in their first year and the Postgraduate Diploma in the second. The project is usually taken during year three to complete the MSc.

Careers

Some of the career paths that graduates have followed include: blood transfusion and fetal medicine research, working for a bone marrow donor laboratory or bone marrow registry, biostatistics, graduate entry to medical school, NHS Clinical Scientist Training programme, and progression to PhD study in several areas including cancer biology and stem cell regeneration.

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We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. Read more
We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.

As a research postgraduate in the School of Mathematics and Statistics you will be supported by a team of experts in your chosen field. You will also have the opportunity to develop and enhance your skill set through appropriate research training.

To help you identify a topic and potential supervisor, we encourage you to find out more about our staff specialisms and read about the PhD projects undertaken by some of our recent postgraduate students. A list of example statistical projects currently offered is also available.

As a PhD student you will be supported by team supervision. You will also go through a research training analysis to identify any skills that you need to develop.

Attendance is flexible and agreed between you and your supervisors depending on the requirements of your research project. You are expected to undertake 40 hours of work per week, with an annual holiday entitlement of 35 days (including statutory and bank holidays).

Research areas

We have broad research interests covering applied and medical statistics, and a lively seminar programme.

Our work breaks down into the following research groups:
-Bayesian statistics
-Biostatistics
-Statistical bioinformatics and stochastic systems biology

Research funding

We undertake projects funded by the Research Councils, major trusts, government departments and the EU. Since 2008, members of the School have been named on over £16m of research awards. Many of these awards were for large interdisciplinary projects, in which the School played a vital role, including:
-A £5.5m Engineering and Physical Sciences Research Council grant to explore the potential of microorganisms to provide clean water
-A £1.5m European Commission project to study eukaryotic genomic origins, parasites, and the essential nature of mitochondria
-A £2.1m Medical Research Council funded project on ways to advance health and wellbeing in later life

In total, £3.5m of funding was attributed to the School.

Facilities

We are located in the Herschel building which has well-equipped seminar and meeting rooms. You will have access to online research facilities via your own desktop PC in a shared postgraduate work space. There is also a teaching cluster (of about 150 PCs) within the School. Computing support is provided by two specialist technical staff who are expert in providing assistance with fast numerical and distributed processing.

As well as the library resources provided by the main Robinson Library, you will have access to the School's mathematics and statistics library and reading room.

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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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