MSc Applied Statistics provides postgraduate instruction in the theory and methods of applied statistics. The programme is for students whose interests lie in the theory and application of statistical methods, and in methods for designing, collecting and analysing large –scale data.
You will benefit from the cutting-edge research conducted in the research centres in which professors from our department hold leading positions: the Southampton Statistical Sciences Research Institute and the ESRC National Centre for Research Methods. Our main areas of expertise include sampling, small-area estimation, census and administrative data and the analysis of 'big data'.
If you prefer, you can apply to study this course as:
Your modules and fees may vary if you choose a different study option.
Your course leader is Dr Olga Maslovskaya, Lecturer in Social Statistics and Demography within Economic, Social and Political Sciences. Her research interests include survey research, survey methodology, social statistics, quantitative research methods and demography. Read Dr Maslovskaya's staff profile to find out more about her work.
You’ll study for a full 12 months, from September to the following September.
In the week before the start of semester 1, you’ll attend a 4-day induction course which will introduce you to our computer and library facilities.
For the first 9 months (semesters 1 and 2) you’ll study the taught part of the course. This is made up of modules that everyone on the course takes and modules that we’ll ask you to choose from a list of options.
Exams take place at the end of semesters 1 and 2.
You’ll spend the last 3 months of the course working independently on your research project and dissertation.
Want more detail? See all the modules in the course.
The learning activities for this course include the following:
We’ll assess you through:
You’ll start your supervised research in June and submit a 15,000-word dissertation in September. This will be on a subject of your choice, to be agreed with your tutor.
The dissertation is a chance for you to show in-depth knowledge of a chosen topic.
Past topics include:
You’ll have regular support meetings with your supervisor throughout the process.
You’ll be assigned a personal academic tutor and have access to a senior tutor.
This degree will qualify you to work as a statistician in a range of sectors, including:
You’ll also be in a great position to continue your studies at PhD level.
King’s College London
King's College Hospital, Denmark Hill, London, UK
October 01, 2022
Lancaster University, Bailrigg, Lancaster, UK
October 01, 2022
Imperial College London
September 01, 2022