Applied Statistics (MSc)
Southampton, United Kingdom
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
GBP 24,200 **
STUDY FORMAT
On-Campus
* for UK | international applicants: 29 July 2024
** for EU and international student | UK students: GBP 9,250
Scholarships
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Introduction
Learn the theory and application of statistical methods in this MSc Applied Statistics degree at the University of Southampton. Gain in-depth knowledge and skills in analysing large-scale data to solve problems. You'll graduate ready for a career as a statistician in a wide range of sectors, from government to medicine.
On this UK statistics master’s course we’ll teach you how to collect and analyse quantitative social science data and apply it to real-world problems.
Through your choice of modules you’ll be able to adapt the course to your personal interests or career plans.
Typical subjects include:
- Survey Methods and Design
- Survey Modelling (Multilevel, Longitudinal, Linear)
- Analysing Complex Data Sets
You’ll benefit from the research of our expert academics, whose findings feed directly into the course content. Our main areas of expertise at Southampton include:
- Sampling
- Small-area Estimation
- Census and Administrative Data
- Analysis of ‘Big Data’
We’re known for the expertise and international scope of our research and for the application of cutting-edge quantitative and qualitative methods.
Admissions
Curriculum
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.
Modules
The modules outlined provide examples of what you can expect to learn in this degree course based on recent academic teaching. As a research-led University, we undertake a continuous review of our course to ensure quality enhancement and to manage our resources. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
You must study the following modules :
- Complex Survey Data Analysis
- Dissertation
- Further Topics in Statistical Modelling
- Generalised Linear Models
- Likelihood and Bayesian Inference
- Research Communication Skills
- Statistical Computing
- Survey Design and Data Quality
You must also choose from the following modules :
- Demographic Methods 1
- Demographic Methods 2
- Design of Experiments
- Epidemiological Methods
- Evaluation and Monitoring
- Key Topics in Social Science: Measurement and Data
- Qualitative Methods
- Statistical Genetics
- Survival Models
Program Tuition Fee
Career Opportunities
This degree will qualify you to work as a statistician in a range of sectors, including:
- Government
- Medicine
- Social Research
- Private Sector Data Analytics
You’ll also be in a great position to continue your studies at PhD level.
Program delivery
The learning activities for this course include the following:
- Lectures
- Seminars
- Group Work
- Projects
- Independent Learning (Studying on Your Own)
Assessment
We’ll assess you through:
- Essays
- A Dissertation
- Presentations
- Seminar Discussions
- Written Exams