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The University of Southampton
Mathematical SciencesPostgraduate study

MSc Data and Decision Analytics (1 year)

This programme is an ideal opportunity to provide yourself with the analytic skill set necessary for success in commercial companies or the public sector.This programme has a vocational focus and there are opportunities for summer projects in a wide range of industries.

The programme objectives are to:

1. train you in the theory and methods of applied statistics to an advanced level;
2. introduce you to the main techniques, methods and approaches of operational research, emphasising both the underlying concepts and their practical application;
3. introduce you to the main techniques, methods and approaches in data science, emphasizing a variety of applications;
4. offer you the opportunity to study more specialised topics selected from a range of options, but within a coherent framework;
5. develop your operational research, statistical, and data science skills for problem solving, including (a) mathematical modelling of deterministic and stochastic systems, and designing solution approaches; (b) statistical modelling;
6. give you the opportunity of gaining practical experience of applying the problem-solving skills you have learned, by working on a project with an external organisation;
7. develop key transferable skills, including personal organisation, teamwork, finding and using information, and written and oral communication;
8. develop programming skills in R and in Python.
9. develop an in-depth knowledge and understanding of an individually researched topic studied as the main project;
10. develop skill in organising their research work and in presenting their findings by the production of a substantial dissertation on their chosen project topic.

Introducing your degree

The MSc Data and Decision Analytics programme will provide you with the ideal skill sets in mathematical modelling, statistical analysis, and computation to help make better decisions based on data. This course, with its vocational focus, is designed to provide training in a broad range of analytical skills in order for you to pursue a wide variety of career opportunities in commercial companies or the public sector. The highlight of the programme is the three-month summer project which can be in Operational Research, Statistics, Data Science or the interface between the three. This would be excellent preparation if you intend to embark on a PhD programme in one of these areas.

Having a good understanding of the process of deriving actionable insights from data has enormous benefits. The MSc programme in Data and Decision Analytics provides students with the ideal skill sets in mathematical modelling, statistical analysis, and computation to help make better decisions based on data. These prepare students to pursue a wide variety of career opportunities in commercial companies or the public sector. This programme, with its vocational focus, is designed to provide training in a broad range of analytical skills as well as soft skills (e.g. in communicating results to managers/executives). The MSc programme is also an excellent preparation for embarking on a PhD programme in Operational Research, Statistics, or Data Science.

A highlight of the programme is the three-month summer project: it may be either in Operational Research, Statistics, or Data Science (or the interface between the three). You will have the option to bid for an external project, which is usually based nearby in a sponsor organisation and requires working on a real problem of practical importance to the sponsor. You also have the option to work on an internal project which might involve data from external sources. The MSc project consists of an individual investigation and is under the supervision of a member of staff. This project enables students to integrate and consolidate skills learned on the course (and to fulfil deliverables for the sponsoring organisation in the case of an external project).

A dissertation on the project work must be submitted soon after the end of the taught period of study and students are required to complete their work by the middle of September.
Your contact hours will vary depending on your module/option choices. Full information about contact hours is provided in individual module profiles.

CORMSIS Business Advisory Board
This Committee is a good indicator of the high regard in which the Southampton MSc programmes involving Operational Research are held by outside organisations. Its purpose is to ensure that the MSc programmes produce graduates with the requisite skills for the needs of industry. It also provides a focal point for liaison between the Operational Research Group and industry. You have the chance to meet the Committee several times during the year. Major companies including Shell, British Airways, BAA, BT, The AADstl and HM Revenue & Customs are represented on the Committee.

View the programme specification for this course for 2018/19 entrants

View the programme specification for this course for 2019/20 entrants

To Apply

University application form with references (online application here), plus invitation to Open Day, particularly if you are being considered for studentship funding.

Programme Structure

The full-time MSc is completed over a 12-month period. There are two semesters of taught material, which account for 60 ECTS (120 CATS), together with an MSc project (typically undertaken in the summer), which accounts for 30 ECTS (60 CATS).

The structure of the programme provides you first with the necessary foundations in Operational Research and Statistics. It then allows you to select several option 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). These modules are complemented by careers talks, with speakers from a wide range of organisations providing an appreciation of the developments in, and use of, Operational Research, Statistics, and Data Science in practice, and presentations on employability skills.

Key Facts

Assessment: Examination, coursework, dissertation

Start date: Late September

Applying: University application form with transcripts, two references

Closing date: None

Typical entry requirements

University degree

This programme requires a 2:1 bachelor’s degree involving some quantitative training (e.g. computer science, economics, engineering, mathematics, physics, statistics).

Selection process

Each application is considered on its individual merits

This page contains specific entry requirements for this course. Find out about equivalent entry requirements and qualifications for your country.

Typical course content

The programme is normally studied over 12 months full-time or 24 months part-time. The taught component of the programme consists of 30 study weeks divided into two semesters during which time students study 60 ECTS/120 CATS. Students who successful complete the taught component undertake a three-month period of supervised research for a Master’s dissertation at a value of 30 ECTS/60 CATS.

Year 1

Compulsory
MATH6157Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
15
MATH6161Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
MATH6005Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
MATH6145Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
MATH6166Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
MATH6165Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
15
MATH6164Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
Optional
MATH6119Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
MATH6025Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
MATH6147Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
COMP6234Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
15
MATH6017Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
MATH6011Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
MANG6229Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
MATH6021Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
MATH6120Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
MATH6158Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
7.5
Core [?]
A core module is a module which must be taken and passed.
MATH6001Credit[?]
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
60

Please note: This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if s/he takes full advantage of the learning opportunities that are provided. More detailed information can be found in the programme handbook (or other appropriate guide or website).

Tuition fees

List of tuition fees for this course and it's variations
NameAwardYear of entryMode of studyUK/EUInternational
Data and Decision AnalyticsMSc 2019Full-time£9,250£18,104
View the full list of course fees

Funding

Scholarships, bursaries, sponsorships or grants may be available to support you through your course. Funding opportunities available to you are linked to your subject area and/or your country of origin. These can be from the University of Southampton or other sources.

Explore funding opportunities

Costs associated with this course

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In some cases you'll be able to choose modules (which may have different costs associated with that module) which will change the overall cost of a programme to you. Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.

The structure of the programme provides you first with the necessary foundations in Operational Research and Statistics. It then allows you to select several option 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). These modules are complemented by careers talks, with speakers from a wide range of organisations providing an appreciation of the developments in, and use of, Operational Research, Statistics, and Data Science in practice, and presentations on employability skills.

Training and education in the theory and methods of Operational Research, Statistics, and Data Science are provided, with an emphasis on practical problems arising in organisational contexts. The skill sets include mathematical modelling, numerical computation and computer programming, and collecting and analysing data.

While studying for your degree, you will develop key transferrable skills, such as written and oral communication, presentation skills, teamwork, the use of IT (e.g. for Optimisation, Simulation, and Statistical software), time management, and basic research skills including the use of the web and the library.

Study locations

Highfield Campus

Highfield Campus

Mathematics is based on the University's Highfield Campus in Building ...Find out more

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