Data and Decision Analytics, M.Sc. | University of Southampton | Southampton, United Kingdom
12 months
Duration
22136 GBP/year
9250 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Develop the analytic and professional skills for success in the data science at this Data and Decision Analytics MSc course offered by the University of Southampton. You’ll learn advanced level mathematical modelling, statistical analysis, and computation.

Overview

This Data and Decision Analytics MSc course offered by the University of Southampton 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.

Career Opportunities

  • 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. 

Programme Structure

Courses include:

  • Computational Machine Learning and Optimisation
  • Data Mining and Analytics
  • Python
  • Likelihood and Bayesian Inference 
  • Presenting Reports 

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

More details
  • UK: Make sure we receive the application at least 4 weeks before the start
  • International: Make sure we receive your application at least 6 weeks before the start

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General 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

Tuition Fee

To alway see correct tuition fees
  • International

    22136 GBP/year
    Tuition Fee
    Based on the tuition of 22136 GBP per year during 12 months.
  • National

    9250 GBP/year
    Tuition Fee
    Based on the tuition of 9250 GBP per year during 12 months.

Living costs for Southampton

697 - 1093 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data and Decision Analytics
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University of Southampton
Data and Decision Analytics
-
University of Southampton

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