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    College of Science Logo
  • Study Type

    Full time & Part time available

  • Subject Areas

    Computer Science

  • Start Date

    September

  • Course Duration

    1 year full-time; 2 years part-time

  • Course Type

    MSc

  • Course Fees

    For current fees visit our website

  • Last Updated

    20 August 2018

Course content

The MSc in Data Science aims to equip students with a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data. Students of the MSc Data Science will study the computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity. Development of research skills will be an essential element of the Data Science programme so that students can bring a critical perspective to current data science discipline and apply this to future developments in a rapidly changing technological environment.

Key Features of the MSc in Data Science

  • We are top in the UK for career prospects [Guardian University Guide 2018]
  • 5th in the UK overall [Guardian University Guide 2018]
  • 7th in the UK for student satisfaction with 98% [National Student Survey 2016]
  • We are in the UK Top 10 for teaching quality [Times & Sunday Times University Guide 2017]
  • 12th in the UK overall and Top in Wales [Times & Sunday Times University Guide 2017]
  • 91.9% in graduate employment or further study six months after leaving University [DHLE Survey 2016]
  • UK TOP 20 for Research Excellence [Research Excellence Framework 2014]
  • Our Project Fair allows students to present their work to local industry
  • Strong links with industry
  • £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)
  • Top University in Wales [Times & Sunday Times University Guide 2017]

Large data sets are now available in almost all modern activities, and the ever growing amount of data requires new and innovative technologies and well equipped data scientists. The demand for data scientists in the UK has grown exponentially in recent years. Despite rapid expansion by the universities in the past few years, it has been predicted by multitude studies that the industry will continue to experience supply shortage of data scientists.

The MSc in Data Science focuses on three core technical themes: data mining, machine learning, and visualisation. Data mining is fundamental to data science and the students will learn how to mining both structured data and unstructured data. Data Science students will gain practical data mining experience and will gain a systematic understanding of the fundamental concepts of analysing complex and heterogeneous data. They will be able to manipulate large heterogeneous datasets, from storage to processing, be able to extract information from large datasets, gain experience of data mining algorithms and techniques, and be able to apply them in real world applications. Machine learning has proven to be an effective and exciting technology for data and it is of high value when it comes to employment. Data Science students will learn the fundamentals of both conventional and state-of-the-art machine learning techniques, be able to apply the methods and techniques to synthesise solutions using machine learning, and will have the necessary practical skills to apply their understanding to big data problems. We will train students to explore a variety visualisation concepts and techniques for data analysis. Data Science students will be able to apply important concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery. The students also learn important mathematical concepts and methods required by a data scientist. A specifically designed module that is accessible to students with different background will cover the basics of algebra, optimisation techniques, statistics, and so on. More advanced mathematical concepts are integrated in individual modules where necessary.

The Data Science programme delivers the practical components using a number of programming languages and software packages, such as Hadoop, Python, Matlab, C++, OpenGL, OpenCV, and Spark. Data Science students will also be exposed to a range of closely related subject areas, including pattern recognition, high performance computing, GPU processing, computer vision, human computer interaction, and software validation and verification. The delivery of both core and optional modules leverage on the research strength and capacity in the department. The modules are delivered by lecturers who are actively engaged in world leading researches in this field. Students will benefit from state-of-the-art materials and contents, and will work on individual degree projects that can be research-led or application driven.

Modules

Modules for the MSc in Data Science include:

  • Computer Science Project Research Methods
  • Visual Analytics
  • Big Data and Data Mining
  • Big Data and Machine Learning
  • Mathematical Skills for Data Scientists
  • Data Visualization
  • Human Computer Interaction
  • High Performance Computing in C/C++
  • Graphics Processor Programming
  • Computer Vision and Deep Learning
  • Modelling and Verification Techniques
  • Operating Systems and Architectures

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of our expansion, we are building the Computational Foundry on our Bay Campus for computer and mathematical sciences. This development is exciting news for Swansea Mathematics who are part of the vibrant and growing community of world-class research leaders drawn from computer and mathematical sciences.

Career Destinations

  • Data Analyst
  • Data mining Developer
  • Machine Learning Developer
  • Visual Analytics Developer
  • Visualisation Developer
  • Visual Computing Software Developer
  • Database Developer
  • Data Science Researcher
  • Computer Vision Developer
  • Medical Computing Developer
  • Informatics Developer
  • Software Engineer

Visit the Data Science MSc page on the Swansea University website for more details!

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