- Start date: September
- Study mode and duration: 12 months full-time (on campus)
Study with us
- designed for those with a background in a broad range of disciplines
- learn about probablity and how to analyse data
- gain skills in problem-solving, big data and use of statistical software packages
- available to study online, please see Applied Statistics in Health Sciences (online)
Why this course?
This unique Masters in Applied Statistics in Health Sciences provides an opening to a career as an applied statistician, without having previously studied statistics.
Our course is run by academics who work in the health sector as well as in higher education. Statisticians from the Animal and Plant Health Agency (APHA), an Executive Agency of the Department for Environment, Food & Rural Affairs (Defra) as well as those who have extensive experience in working with the National Health Service in Scotland, will provide lectures based around real-life problems and data from the health sciences.
Although the programme is focused on health, the skill set provided will also equip you with the necessary training to work as an applied statistician in other areas such as insurance, finance and commerce.
Find out more about Applied Statistics in Health Sciences:
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What you'll study
The three modules covered in Semester 1 will equip you with fundamental probability and data analysis skills.
In Semester 2 there are four modules studying full-time on campus. Each focuses on a different applied element of being a statistician. The course concludes with a research project that will involve the analysis of a real-life data set.
Programme skills set
On the programme you'll acquire:
- in-depth knowledge of modern statistical methods that are used to analyse and visualise real-life data sets and the experience of how to apply these methods in a professional setting
- skills in using statistical software packages that are used in government, industry and commerce
- the ability to interpret the output from statistical tests and data analyses and communicate your findings to a variety of audiences including health professionals, scientists, government officials, managers and stakeholders who may have an interest in the problem
- problem-solving and high numeracy skills that are widely sought after in the commercial sector
- practical experience of statistical consultancy and how to interact with professionals who require statistical analyses of their data
- through the contacts with APHA and NHS staff, an understanding of what it's like to work as an applied statistician in practice including, for example, during disease outbreaks
The Department of Mathematics & Statistics has teaching rooms which provide you with access to modern teaching equipment and computing laboratories that are state-of-the-art with all necessary software available. You'll also have a common room facility, a modern and flexible area which is used for individual and group study work, and also a relaxing social space.
The Department of Mathematics & Statistics
At the heart of the Department of Mathematics & Statistics is the University’s aim of developing useful learning. We're an applied department with many links to industry and government. Most of the academic staff teaching on this course hold joint-appointments with, or are funded by, other organisations, including APHA, Public Health and Intelligence (Health Protection Scotland), Greater Glasgow and Clyde Health Board and the Marine Alliance for Science and Technology Scotland (MASTS). We bridge the gap between academia and real-life. Our research has societal impact.
Several modules will be taught by academics who also work for other organisations including government and health services.
The training is fast-paced, bringing students up to speed with the necessary practical skills in a very short time period. This means that our graduates are very attractive to government and industry.
The three compulsory classes covered in Semester 1 will equip you with fundamental probability and data analysis skills.
Foundations of Probability & Statistics
The course and thus this introductory class is aimed at graduates who have not previously studied statistics at university level. The class will provide the foundation elements of probability and statistics that are required for the more advanced classes studied later on.
Data Analytics in R
This class will introduce the R computing environment and enable you to import data and perform statistical tests. The class will then focus on the understanding of the least squares multiple regression model, general linear model, transformations and variable selection procedures.
Applied Statistical Modelling
This class will cover the fundamental statistical methods necessary for the design and analysis of scientific experiments. There will be an emphasis on the use of real data and the interpretation of statistical analyses in the context of the research hypothesis under investigation.
Each class focuses on a different applied element of being a statistician.
This class will cover the fundamental statistical methods necessary for the application of classical statistical methods to data collected for health care research. There will be an emphasis on the use of real data and the interpretation of statistical analyses in the context of the research hypothesis under investigation. Software packages such as Minitab will be introduced.
Bayesian Spatial Statistics
This class will introduce you to Bayesian statistics and the modern Bayesian methods that are used in health care research. Again, the focus is on real-life data and using statistical software packages for analysis.
Effective Statistical Consultancy
This cover all aspects of statistical consultancy skills necessary for being a successful statistician working in any research environment. You'll work on real-life problems in small groups and have the opportunity to interact with health care researchers to formulate hypotheses.
This class will cover the theory of assessing risks under uncertainty. It will focus on the practical assessment of risk using simulation methods such as Monte Carlo simulation. You'll develop skills in communicating risk to risk managers as well as formulating practical risk questions that can influence policy decisions.
Survey Design & Analysis
Surveys are an important way of collecting data. This class will introduce you to the methods that are commonly used in health care to design questionnaires and analyse data resulting from these questionnaires.
You undertake a research project in which you'll work on a real-life data set, putting the theoretical skills you have learned into practice. Working with APHA and the NHS on one of their policy-driven problems is possible.
Learning & teaching
Classes are delivered by a number of teaching methods:
- lectures (using a variety of media including electronic presentations and computer demonstrations)
- computer laboratories
Teaching is student-focused, with students encouraged to take responsibility for their own learning and development. Classes are supported by web-based materials.
The form of assessment varies for each class. For most classes the assessment involves both coursework and examinations.
Please see Applied Statistics in Health Sciences (online) for online learning and teaching.
Minimum second-class Honours degree or overseas equivalent.
Mathematical training to A Level or equivalent standard.
Prospective students with relevant experience or appropiate professional qualifications are also welcome to apply.
Applicants are required to have some prior mathematical knowledge, eg A level or equivalent in:
If you have any questions, email (email@example.com).
|English language requirements|
You must have an English language minimum score of IELTS 6.0 (with no component below 5.5).
We offer comprehensive English language courses for students whose IELTS scores are below 6.0. Please see ELTD for full details.
As a university, we now accept many more English language tests in addition to IELTS for overseas applicants, for example, TOEFL and PTE Cambridge. View the full list of accepted English language tests here.
I've become well acquainted with different statistical tools used in medical research, as well as other sciences - economics, political science and other social sciences - with programming in R, using different statistical software (such as Minitab or SPSS), academic writing and implementing independent research.
Pre-Masters preparation course
The Pre-Masters Programme is a preparation course held at the University of Strathclyde International Study Centre, for international students (non EU/UK) who do not meet the academic entry requirements for a Masters degree at University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.
Upon successful completion, you'll be able to progress to this degree course at the University of Strathclyde.
We've a thriving international community with students coming here to study from over 100 countries across the world. Find out all you need to know about studying in Glasgow at Strathclyde and hear from students about their experiences.Visit our international students' section
Fees & funding
All fees quoted are for full-time courses and per academic year unless stated otherwise.
Please note: the fees shown are annual and may be subject to an increase each year. Find out more about fees.
How can I fund my course?
Scottish postgraduate students
Scottish postgraduate students may be able to apply for support from the Student Awards Agency Scotland (SAAS). The support is in the form of a tuition fee loan and for eligible students, a living cost loan. Find out more about the support and how to apply.
Students coming from England
Students ordinarily resident in England may be to apply for postgraduate support from Student Finance England. The support is a loan of up to £10,280 which can be used for both tuition fees and living costs. Find out more about the support and how to apply.
Students coming from Wales
Students ordinarily resident in Wales may be to apply for postgraduate support from Student Finance Wales. The support is a loan of up to £10,280 which can be used for both tuition fees and living costs. Find out more about the support and how to apply.
Students coming from Northern Ireland
Postgraduate students who are ordinarily resident in Northern Ireland may be able to apply for support from Student Finance Northern Ireland. The support is a tuition fee loan of up to £5,500. Find out more about the support and how to apply.
We've a large range of scholarships available to help you fund your studies. Check our scholarship search for more help with fees and funding.
We work closely with the University's Careers Service. They offer advice and guidance on career planning and looking for and applying for jobs. In addition they administer and publicise graduate and work experience opportunities.
There are many exciting career opportunities for graduates in applied statistics. The practical, real-life skills that you'll gain means you'll be much in demand in international organisations. A report by the Association of the British Pharmaceutical Industry identified statistics and data mining as “two key areas in which a 'skills gap' is threatening the UK's biopharmaceutical industry.”
Typical employers of statisticians and data analysts include:
- Health services
- Pharmaceutical companies
- Human, animal, plant and environmental research institutes
- Insurance companies
- Internet information providers such as Google
Studying at the university itself has been a fantastic experience. Everyone in the department's been incredibly friendly and approachable and I feel that I have been well supported with my studies here.
Glasgow is Scotland's biggest & most cosmopolitan city
Our campus is based right in the very heart of Glasgow. We're in the city centre, next to the Merchant City, both of which are great locations for sightseeing, shopping and socialising alongside your studies.Life in Glasgow
Apply for on-campus delivery below or apply to online version of MSc Applied Statistics in Health Sciences.
Please note there is no deadline for submitting applications.
Start date: Sep 2022
Applied Statistics in Health Sciences (on campus)
Start date: Sep 2022
Applied Statistics in Health Sciences (on campus)
Start date: Sep 2022
Applied Statistics in Health Sciences (online)
Have you considered?
We've a range of postgraduate taught and Masters courses similar to this one which may also be of interest.