About this course
Develop the analytic and professional skills for success in the data science on this Data & Decision Analytics MSc. You’ll learn advanced level mathematical modelling, statistical analysis, and computation.
This UK master’s course will give you the skills and knowledge to make better decisions based on data. There is also a strong focus on real work experience, with opportunities for summer projects in a range of industries.
Through this degree you’ll learn:
- programming skills in R and in Python
- advanced theory and methods of applied statistics
- practical application of operational research
- modelling of deterministic and stochastic systems
- industry career skills working on a project with an external organisation
You'll take on 3-month summer project which can be in operational research, statistics, data science or a combination of each. This is excellent preparation if you want to go onto a PhD in one of these areas.
There are 2 options for this project:
- The opportunity to compete for a 3-month project with an external organisation
- An internal project linked to the latest research led by one of our academics
You'll also get the chance to meet with the CORMSIS Business Advisory Board which is represented by major companies including; Tesco, Shell, British Airways and HM Revenue & Customs. They ensure this MSc continues to be fresh and relevant to the needs of employers, so you’ll have excellent employment prospects.
Course lead
The leader for this course is Dr Hou-Duo Qi, who’s current research interest is on matrix optimisation with applications in finance and statistics. Examples include the (low-rank) nearest correlation matrix problem from finance and convex quadratic semidefinite programming in multidimensional scaling. Find out more on Dr Hou-Duo Qi’s staff profile page.
Course location
This course is based at Highfield.
Awarding body
This qualification is awarded by the University of Southampton.
Download the programme specification
The programme specification sets out the learning outcomes of this course and details how the course is taught and assessed.
Entry requirements
You’ll need a 2:1 degree in a subject that involves some quantitative training, such as:
- computer science
- economics
- engineering
- mathematics
- physics
- statistics
Find the equivalent international qualifications for your country.
English language requirements
If English isn't your first language, you'll need to complete an International English Language Testing System (IELTS) to demonstrate your competence in English. You'll need all of the following scores as a minimum:
IELTS score requirements
- overall score
- 6.5
- reading
- 6.0
- writing
- 6.0
- speaking
- 6.0
- listening
- 6.0
We accept other English language tests. Find out which English language tests we accept.
Got a question?
Please contact us if you're not sure you have the right experience or qualifications to get onto this course.
Email: enquiries@southampton.ac.uk
Tel: +44(0)23 8059 5000
Course structure
This is a full-time MSc which runs over 12-months from September to the following September. There are 2 semesters of taught material. You’ll then complete an MSc project (usually in the summer).
In semesters 1 and 2 you'll study a combination of modules that everyone on the course must study, and additional modules you'll get to choose from a range of options. These will provide you with the necessary foundations in operational research and statistics.
Want more detail? See all the modules in the course.
Modules
You'll be able to choose modules from a broad range of topics, so that you can specialise in operational research, statistics, or data science (or choose a balanced portfolio of options).
For entry in Academic Year 2021-22
Year 1 modules
You must study the following modules:
This module aims to introduce the student to some of the main deterministic techniques that are used in operational research, namely linear and integer programming. The process of modelling problems of a practical nature as a linear or integer program wil...
This module aims to teach students the fundamentals of writing structured computer programs, applicable using any high level programming language. However, students will be shown the special features of Python that makes this language especially useful fo...
This module develops methods for conducting inference about parametric statistical models. The techniques studied are general and applicable to a wide range of statistical models, including simple models for identically distributed responses and regressio...
The purpose of the module will be to introduce students to the fundamentals of machine learning, i.e. computational methods for statistical learning, prediction and decision-making using data. The basic principles of predictive modelling will be outlined,...
This is a self-study module that aims to develop the skills required for researching, writing and presenting a report on some aspect of Operational Research/Data and Decision Analytics.
Students are allocated a project with an external organisation or on a topic devised by a member of staff in the Operational Research or Management Sciences group at the University of Southampton.
This module will provide an introduction to basic statistical programming in R. It consists of lecturers and associated practical sessions for students to gain hands-on experience of statistical programming.
Stochastic OR Methods provides the students with a grounding in the stochastic elements of operational research. Models and examples are given to demonstrate applications of the topics. Discrete event simulation is taught via lectures and computer worksho...
You must also choose from the following modules:
The first case study is run by a company over one day and focuses on the modelling of a problem that is of current interest. The second case study runs over four days and requires a complex problem to be solved. The techniques used to tackle the problems ...
The aim of the course is to provide a modern view of computer-based data analysis, from the statistical point of view. The course is intended for students with a solid basic background in probability, statistical methods, and computing, and who aim to bu...
The module will start by defining the concept of Knowledge Discovery in Data (KDD) as consisting of three steps: data pre-processing, data mining and post-processing. Next, we will zoom into the data mining step and distinguish two types of data mining: ...
The module provides an introduction to the use of spreadsheets, databases and R for modelling in Operational Research.
The challenge of data mining is to transform raw data into useful information and actionable knowledge. Data mining is the computational process of discovering patterns in data sets involving methods at the intersection of artificial intelligence, machine...
Welcome to the Data Visualisation module! In this course, you would learn about the terminology, concepts and techniques behind visualising data, and will get to use a range of tools to get experience of creating visual representations of data. You will g...
When planning experiments, it is essential that the data collected are as relevant and informative as possible. The statistical principles for the design of experiments include the choice of optimal or good treatments sets and appropriate replication of t...
The module aims to introduce the students to the basics of portfolio theory. Beginning with a summary of the reasons why both private investors and large institutional investors might wish to own share portfolios, the module progresses to consider how ris...
This module will introduce and develop flexible statistical modelling methods that allow for general and complex forms of data to be modelled, extending ideas already encountered in earlier modules on linear and/or generalised linear modelling. The two ma...
The module will introduce students to time series models and associated forecasting methods.
Nonlinear programming is used in a variety of applications, ranging from machine learning and data science to finance and engineering. This course provides an introduction to nonlinear programming and covers modelling techniques as well as solution algori...
The module provides an introduction to the theory and practice of Revenue Management
Learning and assessment
Learning
The learning activities for this course include:
- careers talks from external organisations
- employability skills training
- computer programming
- collecting and analysing data
- using IT for optimisation, simulation, and statistical software
- coursework
- individual and group projects
Assessment
We’ll assess you through:
- coursework and essays
- a dissertation
- group essays
- individual and group projects
- written exams
Dissertation
You'll need to submit a dissertation on your project work soon after the end of the taught period of study. You'll be required to complete their work by the middle of September.
Academic Support
Your contact hours will vary depending on your module/option choices. Full information about contact hours is provided in individual module profiles.
Careers
Data science has seen an unparalleled expansion as the data-driven economy grows. Having a good understanding of the process of deriving actionable insights from data opens-up a huge amount of career options.
Increasingly organisations require skilled professionals who can handle large datasets and managers who can utilise the resulting analysis to make impactful decisions. The nature of the work brings MSc Data and Decision Analytics graduates into early contact with senior management which can offer opportunities for rapid career advancement.
Careers services at Southampton
We're a top 20 UK university for employability (QS Graduate Employability Rankings 2020). Our Careers and Employability Service will support you throughout your time as a student and for up to 5 years after graduation. This support includes:
- work experience schemes
- CV/resume and interview skills workshops
- networking events
- careers fairs attended by top employers
- a wealth of volunteering opportunities
- study abroad and summer school opportunities
We have a thriving entrepreneurship culture. You'll be able to take advantage of:
- our dedicated start-up incubator, Futureworlds
- a wide variety of enterprise events run throughout the year
- our partnership in the world’s number 1 business incubator, SETsquared
Fees, costs and funding
Tuition fees
Fees for a year's study:
- UK students pay £9,250.
- EU and international students pay £19,850.
What your fees pay for
Your tuition fee covers the full cost of tuition and any exams.
Find out how to pay your tuition fees.
Accommodation and living costs, such as travel and food, are not included in your tuition fees. Explore:
10% alumni discount
If you’re a graduate of the University of Southampton you get a 10% discount on your postgraduate tuition fees.
Postgraduate Master’s Loans (UK nationals only)
This can help with course fees and living costs while you study a postgraduate master's course. Find out if you're eligible.
International Postgraduate Taught Merit Scholarship
You are eligible for this scholarship if you:
are an international student who hasn’t taken a master's with us before
are enrolling to start a master's in September 2020
gained a 1st class honours degree at undergraduate level
If you meet these criteria you’ll be awarded an automatic £3,000 scholarship. This will mean a £3,000 reduction in your tuition fees. We’ll confirm your scholarship in your offer letter.
Unfortunately this offer isn’t open to UK / EU students.
This course is part of the Shared Scholarship Scheme, an initiative between the UK Department for International Development (DFID) and UK universities to support students from developing commonwealth countries.
You may be eligible for this scholarship if you are:
- from a developing commonwealth country
- would not be able to study a master’s degree in the UK
Other postgraduate funding options
A variety of additional scholarships, grants and bursaries may be available to help you fund your master’s study, both from the University and from other organisations.
Funding for EU and international students
Find out about funding you could get as an international student.
How to apply
- Use the 'apply for this course' button on this page to take you to our online application form.
- Search for the course you want to apply for.
- Complete the application form and upload any supporting documents.
- Submit your application.
Application deadlines
Application assessment fee
We’ll ask you to pay a £50 application assessment fee if you’re applying for any postgraduate taught course that starts in or after September 2021.
This is an extra one-off charge which is separate to your tuition fees. It covers the work and time it takes us to assess your application. You’ll be prompted to pay when you submit your application which won’t progress until you've paid.
If you're a current or former University of Southampton student, or if you're applying for a Master of Research (MRes) degree, you will not need to pay the fee. Find out if you’re exempt on our terms and conditions page.
Supporting information
When you apply you’ll need to submit a personal statement explaining why you want to take the course.
You’ll need to include information about:
- your knowledge of the subject area
- why you want to study a postgraduate qualification in this course
- how you intend to use your qualification
You'll also need to send 2 academic references.
Please include the required paperwork showing your first degree and your IELTS English language test score (if you are a non-native English speaker) with your application. Without these, your application may be delayed.
Learn more about how to apply with our postgraduate application guide.
What happens after you apply
You'll be able to track your application through our online Applicant Record System.
We'll assess your application on the strength of your:
- academic achievements
- relevant professional experience
- personal statement
- academic references
We'll usually make one of 4 decisions:
- Offer you a place on this course
- Offer you a place on a different course which we think suits you better
- Tell you that we'll consider your application a second time in the next stage
- Tell you that your application has been unsuccessful
If we decide to consider your application a second time in the next stage, this will only happen once.
If we offer you a place, you'll need to accept the offer within 30 working days. If you do not meet this deadline, we'll offer your place to another applicant.
Equality and diversity
We treat and select everyone in line with our Equality and Diversity Statement.
Got a question?
Please contact us if you're not sure you have the right experience or qualifications to get onto this course.
Email: enquiries@southampton.ac.uk
Tel: +44(0)23 8059 5000
Related courses
- Courses
-
Student life
- Accommodation
- Halls Filter
- Our campuses
- Our cities
- Student community
- Sports and gyms
- Support and money
- Research
- Business
- Global
- Open days and visits
- About
- Visit
- Alumni
- Departments
- News
- Events
- Contact