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:
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.
This one year masters degree will provide vocational training in applied statistics. This is a conversion course, designed for candidates from a broad background of disciplines. Students will gain skills in:
Semester 1:
The modules available in semester 1 will equip you with fundamental statistical and data analysis skills.
Semester 2:
Semester 2 provides a range of modules, each focusing on a different applied element of being a statistician/analyst. These are all optional, allowing you to tailor this course to suit your career interests.
Semester 3:
In semester 3 you'll undertake a research project in which you'll work on a real-life data set, putting the theoretical skills you have learned into practice.
On the programme you'll have the opportunity to acquire:
The Department of Mathematics & Statistics has teaching rooms which provide you with access to modern teaching equipment and access to University computing laboratories, with all necessary software available.
You'll also have access to a common room facility which gives you a modern and flexible area for individual and group study work, and is also a relaxing social space.
The MSc in Applied Statistics will provide graduates with skills in the statistical analysis of data from a wide range of disciplines. These skills are required by many employers in sectors such as:
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.
Further particulars regarding curriculum development.
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.
This programme is designed to equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions and become confident statistical analysts.
Our MSc in Operational Research and Applied Statistics aims to equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions, and to become confident statistical analysts.
This course is ideal training and experience for those looking for career opportunities in areas such as Operational Research, management science, statistics, management consultancy, business analytics, supply chain management, government operational research/statistics.
You will undertake case studies and project work which will give you the opportunity to put your skills into practice and provides valuable experience of working in the field. The dissertation project, typically undertaken with an industrial partner, will allow you to work with complex data in a creative manner and a problem-solving environment, as well as to communicate your ideas and findings effectively
How will I be taught?
The methods of teaching we employ will vary from module to module, as appropriate depending on the subject matter and the method of assessment. We teach using a mixture of lectures, seminars, computer workshops and tutorials.
You will apply the skills you develop through presentations, research assignments, case studies and the summer project.
How will I be supported?
All of our students are allocated a personal tutor when they enrol on the course. A personal tutor is there to support you during your studies, and can advise you on academic and personal matters that may be affecting you. You should have regular meetings with your personal tutor to ensure that you are fully supported.
You will have access to the Trevithick Library, which holds our collection of mathematical and computer science-related resources, as well as to the other Cardiff University Libraries.
We will provide you with a copy of the Student Handbook, which contains details of each School’s policies and procedures. We also support students through the University’s virtual learning environment, Learning Central, where you can ask questions in a forum or find course-related documents.
Cardiff University also offers a wide range of support services which are open to our students, such as the Graduate Centre, counselling and wellbeing, financial and careers advisors, the international office and the Student Union.
This programme prepares you for a career in areas such as operational research, management science, statistics, risk analysis, financial modelling, actuarial risk and credit scoring, management consultancy, business analytics, supply chain management, government operational research /statistics.
Our School of Mathematics has well established and strong links with many employers of Operational Researchers and Applied Statisticians, who regularly offer projects and/or recruit our students.
If you prefer to continue on a more academic career pathway, you may choose to continue your studies with a PhD.
The Department of Mathematical Sciences offers a professionally oriented Master’s of Arts degree program in statistics. The lively and versatile curriculum focuses on training that is applicable in the real world, and the program aims to prepare skillful statisticians for professional careers in industry. The track includes an integral lab component that emphasizes the practice of contemporary data analysis and exposes students to methods, software and theory commonly used in applications of statistics.
The MA is designed to provide students with a solid foundation of practical knowledge to work with statistics in depth, for future careers in the public and private sectors as statistical scientists, consultants and engineers to manage and analyze data. The program requires courses specific to the area of applied statistics, and the student is required to finish 10 courses and two 1-credit capstone seminars for a total of 42 credits. An exit exam or final thesis is not required.
Driven by the ever-greater reliance of businesses and governments on data, the demand for professionals with strong quantitative analytical skills is now higher than ever. Program graduates will be trained to pursue careers in a variety of fields that require data-crunching and quantitative analysis. Well-trained statisticians and data scientists are employed in the following roles in a wide spectrum of industries:
◾statistical consultants
◾risk managers
◾insurance actuaries
◾quants (and traders)
◾production/manufacturing quality control managers
◾market researchers
◾sports statisticians
◾economists
◾biomedical, biometrics, and bioinformatics researchers
◾sociology researchers
◾psychology researchers
◾biostatisticians in pharmaceutical industry
◾government statisticians (census)
- Online graduate degree application and application fee
- Transcripts from each college/university which you attended
- Three letters of recommendation
- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee
- Resume or Curriculum Vitae (max. 2 pages)
- Official GRE scores
And, for international applicants:
- International Student Financial Statement form
- Official bank statement/proof of support
- Official TOEFL, IELTS, or PTE Academic scores
A unique MSc degree aimed at those who wish to study in greater depth risk models, particularly for applications to financial markets, but also to other sectors.
Our MSc in Operational Research, Applied Statistics and Financial Risk aims to equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions, and to become confident statistical analysts.
This course is ideal training for those who wish to study, in greater depth, risk models, particularly for application to financial markets but also to other sectors.
You will undertake case studies and project work which will give you the opportunity to put your skills into practice and provides valuable experience of working in the field. The dissertation project, typically undertaken with an industrial partner, will allow you to work with complex data in a creative manner and a problem-solving environment, as well as to communicate your ideas and findings effectively.
How will I be taught?
The methods of teaching we employ will vary from module to module, as appropriate depending on the subject matter and the method of assessment. We teach using a mixture of lectures, seminars, computer workshops and tutorials.
You will apply the skills you develop through presentations, research assignments, case studies and the summer project.
How will I be supported?
All of our students are allocated a personal tutor when they enrol on the course. A personal tutor is there to support you during your studies, and can advise you on academic and personal matters that may be affecting you. You should have regular meetings with your personal tutor to ensure that you are fully supported.
You will have access to the Trevithick Library, which holds our collection of mathematical and computer science-related resources, as well as to the other Cardiff University Libraries.
We will provide you with a copy of the Student Handbook, which contains details of each School’s policies and procedures. We also support students through the University’s virtual learning environment, Learning Central, where you can ask questions in a forum or find course-related documents.
Cardiff University also offers a wide range of support services which are open to our students, such as the Graduate Centre, counselling and wellbeing, financial and careers advisors, the international office and the Student Union.
This programme prepares you for a career in areas such as operational research, management science, statistics, risk analysis, financial modelling, actuarial risk and credit scoring, management consultancy, business analytics, supply chain management, government operational research /statistics.
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