|Study location||United Kingdom, Southampton (Highfield Campus)|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||To be confirmed|
Undergraduate diploma (or higher)
This programme requires a 2:1 bachelor’s degree involving some quantitative training (e.g. computer science, economics, engineering, mathematics, physics, statistics).
IELTS: 6.5 (with a minimum of 6.0 in each skill)
At least 2 reference(s) must be provided.
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.
Having a good understanding of the process of deriving actionable insights from data has enormous benefits. Data scientists help organisations handle large amounts of data being produced thanks to digital technologies. Data science has seen an unparalleled expansion as the data-driven economy grows. Increasingly organisations require skilled professionals who can handle large datasets and managers who can utilise the resulting analysis to make impactful decisions. Decision Analytics is the application of scientific methods to the study of complex organisational problems. Even within the same organisation, Decision Analytics tends to be highly varied because of its project-driven nature. This breadth of experience offers an exciting and rewarding career in many organisations.
As a graduate in Data and Decision Analytics, you will be ideally equipped to not only design and use data science applications and to analyse and reason about data, but also to infer optimal decisions based on data. This will enable many Data and Decision Analysts to progress to a career in general management. Moreover the nature of the work brings a Data and Decision Analytics graduate into early contact with senior management and it can offer opportunities for rapid career advancement.
Here is a (by no means complete) list of typical careers for graduates in Data and Decision Analytics:
- Consultancy as a Data Analyst, Operational Researcher, or Statistician.
- Data Scientist or Operational Researcher to provide strategic planning or improving operation in an organisation, in Business and Governments
- Investment Banking & Finance, Data Analysis, Revenue Management
- Analyst in start-ups based around new opportunities in the booming data-driven economy;
- Statistician in government, finance, insurance, market research, Environmental Statistician (e.g. in environmental organisations),
- Study for a PhD in Operational Research, Statistics, or Data Science
- University Lecturer