Masters degrees in Applied Statistics focus on the application of statistical techniques to functional areas and their related industries, for example economics.
Related postgraduate specialisms include Statistics and Applied Probability, and Environmental Statistics. Entry requirements typically include an appropriate undergraduate degree in a relevant undergraduate degree in a Mathematics-related discipline.
Statistics may be applied to and used across a broad range of industries and professional practices.
For example, Applied Statistics is very predominant in industries to do with the health sciences. You might utilise bioinformatics to predict uses for drugs and other medicines, or help to model and design wearable healthcare technology.
Applied Statistics can also be used in the field of operational research. This includes creating mathematical models and algorithms to help optimise profits, assess line performance, and calculate future transaction costs (related to financial forecasting).
Similarly, Applied Statistics may be used to assess patterns on a broader scale across all economic practices, allowing professionals to investigate financial or operational problems within different sectors and predict repeated issues.
The MSc Statistics and Applied Probability is suitable for students who wish to broaden and deepen their knowledge in both statistics and applied probability.
The course offers you the opportunity to further your knowledge in both of these areas, which will be beneficial for a professional career in statistics or as a solid basis for research in statistics or applied probability.
Topics include advanced stochastic processes, queueing processes, epidemic models and reliability, as well as most of those listed for the MSc Statistics.
This course is accredited by the Royal Statistical Society
- This course is informed by the work being carried out in the Statistics and Probability research group.
- The School of Mathematical Sciences is one of the largest and strongest mathematics departments in the UK, with over 60 full-time academic staff.
- In the latest independent Research Assessment Exercise, the School ranked 8th in the UK in "research power" across the three subject areas within the School of Mathematical Sciences (Pure Mathematics, Applied Mathematics, Statistics and Operational Research).
- This course is accredited by the Royal Statistical Society.
Advanced Stochastic Processes
Applications of Statistics
Fundamentals of Statistics
Time Series and Forecasting
Topics in Biomedical Statistics
IELTS: 6.0 (with no less than 5.5 in any element)
This unique Masters in Applied Statistics in Health Sciences provides an opening to a career as an applied statistician, without having previously studied statistics.
The course is run in collaboration with the Animal and Plant Health Agency (APHA), an Executive Agency of the Department for Environment, Food & Rural Affairs (Defra). Statisticians from APHA, 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.
The three modules covered in Semester 1 will equip you with fundamental probability and data analysis skills. In Semester 2 there are four modules, each focusing 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:
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.
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.
Classes are delivered by a number of teaching methods:
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.
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:
This Masters in Environmental Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics; previous study of statistics is not required.
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.
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 course 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 environmental science, assessed by a dissertation.
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.
Graduates of this programme have gone on to positions such as:
Research Officer Medical Statistics at Kenya Medical Research Institute (KEMRI) Welcome Trust.
The PGDip/MSc in Applied Statistics and Datamining is a one-year taught programme run by the School of Mathematics and Statistics. The course is aimed at those with a good degree containing quantitative elements who wish to gain statistical data analysis skills.
The programme consists of two semesters with taught components which include a mixture of short, intensive courses with a large proportion of continuous assessment and more traditional lecture courses with end-of-semester exams.
For those on the MSc, the taught component will be followed by a 15,000-word dissertation project taking place during the last three months of the course.
The School of Mathematics and Statistics is well equipped with personal computers and laptops, a parallel computer and an on-site library.
The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017-2018 academic year; some elements may be subject to change for 2018 entry.
With a Master's degree in Applied Statistics you will have the knowledge and the qualifications to assume a leading role in the design of statistical surveys and to contribute to the development of statistical analysis. Potential employers are banks and insurance companies, market research firms, as well as the industry sector, especially the pharmaceutical industry.
The Master's programme prepares students for careers as statisticians in both the private and the public sectors. Statistical methods are used all over the world and students of the Master's programme gain access to the international job market.
The programme gives students training for the profession of statistician. The programme also prepares students for studies at the doctoral level. The training covers many areas of statistical theory giving opportunities to work in different fields of application of statistical methodology, although a focus of the programme is on applications within the economic and social sciences. The Master in Applied Statistics gives deep and wide theoretical knowledge with a focus on practical application of theory and methodology. Statisticians usually work closely with colleagues who have training in other subjects than statistics, in particular experts on the actual area of application. Here the statistician is considered as a special resource for implementation of surveys and statistical analysis. The ability to communicate with non-statisticians is therefore important. This is due in part to the need to identify the information requirements and the restrictions surrounding the statistical study, but also in order to communicate the design chosen for the study and the results obtained. Communication with non-statisticians is practised throughout the programme.
The programme is made up of four semesters. The programme starts with a course in mathematics and a course in statistical theory. During the first year, students will also take two courses in econometrics, two courses on the theories and methods in the area of survey methodology and courses in computational statistics and Bayesian statistics. The third and the fourth semesters each includes two courses and one 15 credit Master's thesis. The student writes two Master's theses on the programme, one during the third semester and one during the fourth semester. After completion of the programme, the student has the training needed to take a leading role in the design and implementation of statistical surveys and analyses, as well as the ability to contribute to the development of statistical methodology.
Statisticians are in demand. The huge variety and quantity of data generated today means more people are needed who can analyse it and make sense of it.
Victoria's Master of Applied Statistics (MAppStat) is designed to train you in a range of advanced statistical methods and give practical experience in the variety of work professional statisticians are involved in.
Develop your research, analytical, and client communication and consultancy expertise. You'll gain a toolbox of skills so you can solve real-life problems. Graduate prepared for a career with many different types of workplace including government agencies, science institutions and businesses.
To enrol in the MAppStat you'll need to have a degree in Statistics, Mathematics or another relevant discipline, with an average grade of B+ or better.
Your programme will be made up of both coursework at the University and practical training in the field. The MAppStat has a professional focus and you'll complete a consultancy project and work experience practicum. This will give you a unique experience among applied statistics programmes internationally.
Work alongside other students in a consulting role with real clients such as clinicians or academics. You'll learn how to talk to clients about technical issues in a language they'll understand, and you'll make an oral presentation and write a report.
During your practicum you'll gain valuable professional work experience with a host organisation such as the Ministry of Business, Innovation and Employment, Statistics New Zealand and NIWA, or data science companies like Dot Loves Data or Harmonic Analytics. You'll be matched to an environment that suits your goals.
Complete your Master's in one year full time over three trimesters (March–June, July–October, November–February), or in up to three years part time. Normally, students start the programme in either March or July.
If you complete only the coursework you may be awarded a Postgraduate Diploma in Science in Statistics.
If you are studying full time, you can expect a workload of 40–45 hours a week for much of the year. Part-time students doing two courses per trimester will need to do around 20–23 hours of work a week. Make sure you take this into account if you are working.