This programme prepares you to become a proficient data scientist, developing your specialist knowledge in subjects that are crucial for mastering the vast and ever-so-complex information landscape that is characteristic to modern, digitally empowered organisations.
This is typically linked to a number of core areas of expertise, from the ability to operate high-performance computing clusters and cloud-based infrastructures, to the know-how that is required to devise and apply sophisticated Big Data analytics techniques, and the creativity involved in designing powerful visualizations.
In the first semester you start with a review of key topics in data science. The course will introduce the core theoretical and technology components required to design and use a data science application, using open-source tools and openly accessible data sets. You will also cover the most important machine learning techniques, which are at the core of any attempt to analyse and reason about data.
You will be exposed to more advanced topics in data mining in the second semester, including feature engineering, methods to manipulate text and multimedia data, topic modelling, social network analysis, and spectral analysis. A new module on data visualization will introduce the most common types of visualization techniques and state-of-the-art technology used to build graphic elements into data science applications to present analytics results.
Finally, during the summer the MSc project enables you will demonstrate your mastery of specialist techniques, relevant methods of enquiry, and your ability to design and deliver advanced application, systems and solutions to a tight deadline, including the production of a substantial dissertation.
View the programme specification document for this course
Twelve months, full-time.
The programme has been designed to maximise student choice by allowing you to tailor the structure to suit your own strengths and interests. You can choose areas that reflect your personal interests and work on an individual project. You will also take a number of compulsory modules to ensure you are exposed to key topics in all areas. The modules cover state-of-the-art techniques, technologies, and supporting tools, and will expose you to their applications in meeting emerging business needs and ambitious societal problems. Application areas will include: data journalism, Open Government Data, finances, and social media.
You can apply for the programme through the University of Southampton's online postgraduate application system. Visit our how to apply pages for more information
Please note we are part of the Faculty of Physical Sciences and Engineering (FPSE).
Southampton University has pioneered many of the most important advances in computer science and web technology of the past 10 years
We are in the top 10% in the UK for the volume and quality of our Computer Science research (REF 2014)
100% of our Computer Science research impact is world-leading or internationally excellent (REF 2014)
We have been ranked in the UK top ten for Computer Sciences for over ten years by the Guardian University Guide
Southampton is ranked in the top 51-100 universities for Computer Science in the 2016 QS World Rankings
We are one of only 13 universities recognised as an Academic Centre of Excellence in Cyber Security Research by the UK Government and our academics are playing a leading role in establishing a European Data Science Academy
We are number one in the UK for graduate prospects in Computer Science in the Complete University Guide 2017