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Medical Statistics (MSc)


Course Description

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

Visit the Medical Statistics (MSc) page on the London School of Hygiene & Tropical Medicine website for more details!

(Student Profile)

Con Ariti

169.gif After a twenty year career in the financial services sector, I decided to pursue a long term ambition to work in the field of medical statistics. After studying Mathematics and Statistics in Australia and the United States, I felt that the LSHTM was the best place to obtain training for this career change. For me, the history of the school and its achievements were a big part of its appeal.
The course has been challenging, but in a stimulating and enjoyable way. The lecturers and tutors are supportive and approachable, and have a vast range of experience and knowledge. The theory is also backed up with practical applications and hands-on analysis of real health problems.
One of the most enjoyable aspects of the course is mixing with such a broad range of experienced and friendly people. Working alongside doctors and experienced health professionals is a new experience for me, and it has added a huge amount to my learning and enjoyment of the course. The weekly Public Health Lectures Series which the school runs for all students has also been eye-opening, and a wonderful opportunity to hear world-leading experts speak about the latest research and most pressing health issues.
After completing the course my goal is to work on health challenges affecting developing countries. I feel very positive that my year at LSHTM will provide the best foundation for making this move.

(Student Profile)

Gavin Reilly

At undergraduate level I completed a BA in Mathematics and French at UCD in Dublin, graduating in 2014. I was unsure about my next step; whether it should be to search for a job in finance or to take on further study. A family member working in Medical Statistics suggested doing a Master’s and I soon realised that I could make a real difference to people’s lives by becoming a medical statistician. On being accepted to the School, there was no doubt that it would be the best choice and the course certainly lived up to expectations.

The content is in depth and the learning curve over the year is steep with the rewards at the end being amazing. The course is very interactive with lots of time spent with lecturers and tutors who have vast experience in up to date medical research. Assignments and projects are based on real life situations which keeps you focused on how exactly your work can impact the world of medicine.

Obtaining the MSc Medical Statistics at the School has put me in a position where I can choose a job I really feel I would enjoy, opening up a huge amount of possibilities.

(Student Profile)

Noel Patson

4369.jpg I did my BSc in Statistics at the University of Malawi from 2007 to 2010. After graduating, I worked with College of Medicine of the University of Malawi for 2 years as a biostatistician. I was interested in proceeding with a career in health research but strongly emphasizing on advanced statistical methods in epidemiology and clinical trials. I searched for several schools worldwide offering courses directly matching my career prospects. I found that the School had all it takes to mould me into a first class researcher since the structure of its highly reputable Medical Statistics course captures all necessary attributes for a global course that can help in solving global health issues.

Enrolling for an interdisciplinary medical statistics course equipped me with skills in designing successful disease management programs, providing strategies of conquering major health problems through evidence-based research and measuring progress of the health systems using relevant statistical methods. Dedicated experts in the fields of epidemiology, clinical trials and public health within the School made my studies more enjoyable than expected. I am now looking forward to contributing in health research implementation through innovative approaches especially the use of local data to solving health problems.

(Student Profile)

Stephen Nash

4370.jpg My two favourite things about the School are the students and the staff. The diverse, intelligent and enthusiastic collection of students have travelled from scores of countries, all with a passion both to learn with and from one another and then to apply that learning to advance medicine somewhere in the world. Lectures are given by experts working in the field and are full of anecdotes from recent research. It’s those small details which really bring a lecture to life, illustrating the subject much more than slides full of facts and figures.


(Scholarship)

NIHR MSc Studentships in Medical Statistics - 3 Awards

Three National Institute for Health Research (NIHR) funded studentships are available for the 2016-17 academic year. These studentships have been made available with the aim of building research capacity in medical statistics, and will be targeted towards students who are planning to go on to work in areas of benefit to the National Health Service.There will be two deadlines for applications - one studentship will be awarded in April and two in June. Early application is recommended. Unsuccessful applicants for the April award will automatically be reconsidered for the June award.The competition for these studentships is high, and applicants are strongly encouraged to seek alternative funding should their application be unsuccessful.

Value of Scholarship(s)

TBC

Eligibility

The studentships are open to UK and EU applicants only and cover all course fees as well as providing a tax free living allowance. The 2016-17 stipend rate has not yet been confirmed. In 2015-16 the annual stipend rate was GBP 16,057.00.

Application Procedure

Students wishing to apply for an NIHR studentship should apply to study for the MSc in Medical Statistics by the funding deadline. All eligible applications will be considered for this funding.Application Deadlines:
First deadline: 15 April 2016
Second deadline: 10 June 2016
Incomplete applications will not be considered for this funding.

Further Information

http://www.lshtm.ac.uk/study/funding/nihrmscmedstats.html



Entry Requirements

The normal minimum entrance qualification for registration at the School on a Master's programme is at least one of the following: a second-class honours degree of a UK university, or an overseas qualification of an equivalent standard, in a subject appropriate to that of the course of study to be followed; OR a registrable qualification appropriate to the course of study to be followed, in medicine, dentistry or veterinary studies. Applications with an appropriate technical qualification, or equivalent qualification and experience from overseas, are also welcomed.

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