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Computer Science MSc by Research


Course Description

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

As an MSc by Research Computer Science student you will be guided by internationally leading researchers in the field of computer science and will carry out a large individual research project. Computer Science is at the cutting edge of modern technology, and is developing rapidly and Swansea Computer Science graduates enjoy excellent employment prospects.

Computer Science now plays a part in almost every aspect of our lives - science, engineering, the media, entertainment, travel, commerce and industry, public services and the home.

The MSc by Research Computer Science degree enables you to pursue a one year individual programme of research in the field of computer science and would normally terminate after a year. However, under appropriate circumstances, this first year of research can also be used in a progression to Year 2 of a PhD degree.

The MSc by Research programmes including Computer Science MSc by Research all have a recommended initial research training module (Science Skills & Research Methods), but otherwise has no taught element and is most suitable for you if you have an existing background in biosciences or cognate discipline and are looking to pursue a wholly research-based programme of study.

As a student of the MSc by Research Computer Science programme you will be fully integrated into one of our established research groups and participate in research activities such as seminars, workshops, laboratories, and field work.

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 the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Research

The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.

We are ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

Links with Industry

Each spring, Computer Science students prepare and present a poster about their project at a project fair – usually together with a system or software demonstration. We also strongly encourage students to create CVs and business cards to take along to the fair, as businesses and employers visit to view the range of projects and make contact with the graduating students.


Visit the Computer Science MSc by Research page on the Swansea University website for more details!



All Available Videos:


Student Profiles
(Scholarship)

Computer Science: KESS II Funded MSc by Research Studentship: Visualising Driver Behaviour using Sensor Data and Diagnostic Trouble Codes - Single Award

Swansea University is a UK top 30 institution for research excellence (Research Excellence Framework 2014), and has been named Welsh University of the Year 2017 by The Times and Sunday Times Good University Guide.*This scholarships is part funded by the Welsh Government’s European Social Fund (ESF) convergence programme for West Wales and the Valleys.*In recent years, there has been an increase in the number of automotive manufacturers and insurance companies that are collecting vehicle telematics data. This generally involves the installation of technology on the vehicle to collect and broadcast specific vehicle state data in real time. The data usually comes in the form of sensor readings from various major components across the vehicle. Typical sensor data fields include:Temperatures (engine coolant, transmission fluid, internal, etc.),
Fuel levels
Speed
Engine on/off
Pressures {engine oil, air filter, etc.)
Position (coordinates)
Additionally, more refined information can be ascertained from event-driven Diagnostic Trouble Codes (DTCs). A DTC event arises when sensor data on the vehicle meet/exceed pre-defined engineering thresholds, e.g. 'engine temperature too high'. DTCs adhere to standards published by the Society of Automotive Engineers (SAE).We Predict wants to capitalise on this market opportunity to provide predictive analytics based on real time Telematics and requires visualisation expertise input to develop a market ready solution. The purpose of this project is to represent the complexity of this inter-related sensor data alongside other associated data and resultant failures in a way that is easy to interpret and elucidates relationships otherwise inscrutable. Specifically, the work to be carried out by the student in this project will be to explore, experiment and test visualisation formats and techniques to arrive at this optimum presentation working with appropriate machine learning approaches for data summarisation.Scholarships are collaborative awards with external partners including SME’s and micro companies, as well as public and third sector organisations. The scholarship provides 1 year funding with a 3 month period to complete the thesis. The achievement of a postgraduate skills development award, PSDA, is compulsory for each KESS II scholar and is based on a 30 credit award.

Value of Scholarship(s)

11472

Eligibility

Candidates should have a 2.1 or above in their undergraduate degree in computer science or a related subject. They should also be eligible for UK/EU Fees.

Application Procedure

Please visit our website for more information.

Further Information

http://www.swansea.ac.uk/postgraduate/scholarships/research/computer-science-kess-mres-visualising-driver.php


(Scholarship)

Computer Science: KESS II Funded MSc by Research Studentship: Adopting data driven modelling and prediction approaches to support strategies for successful game outcomes in Rugby - Single Award

Swansea University is a UK top 30 institution for research excellence (Research Excellence Framework 2014), and has been named Welsh University of the Year 2017 by The Times and Sunday Times Good University Guide.*This scholarships is part funded by the Welsh Government’s European Social Fund (ESF) convergence programme for West Wales and the Valleys.*MSc by Research for UK or EU applicants in the field of Computer Science / Visual and Interactive ComputingThis work in with Ospreys Rugby will consider the design of Key performance indicators (features) and a Bayesian-based machine learning models to predict the outcomes of a rugby match. The approach will focus on the ability for the above data-driven features and models to inform coaches and players on areas that are mostly likely to influence game outcomes therefore help shape training, selection and strategies in Rugby Matches. This research will empower Ospreys Rugby and the wider community (through it is community initiatives) to further the adoption of data driven techniques to enhance performance and gain competitive margins.The work has four main research objectives:1) The design and quantifiable validation of in-game context-sensitive data driven descriptive statistics.2) To build a predicative model with some transparency of feature impact on outcomes.3) This work will adopt and investigate the relative usefulness of continuous outcome metrics to train supervised probabilistic predication of scores.4) The work will assess the usefulness of the features and predictive models trained using various outcome metrics in empowering the team to investigate and make data-driven changes to training, selection and in-game strategies.Scholarships are collaborative awards with external partners including SME’s and micro companies, as well as public and third sector organisations. The scholarship provides 1 year funding with a 3 month period to complete the thesis. The achievement of a postgraduate skills development award, PSDA, is compulsory for each KESS II scholar and is based on a 30 credit award.

Value of Scholarship(s)

11472

Eligibility

Candidates should have a 2.1 or above in their undergraduate degree Computer Science or a related subject. They should also be eligible for UK/EU Fees.

Application Procedure

Please visit our website for more information.

Further Information

http://www.swansea.ac.uk/postgraduate/scholarships/research/computer-science-kess-msc-research-adopting-data.php



Entry Requirements

Applicants for the MSc by Research in Computer Science should should normally have a 2.1 Honours Degree or higher in Computer Science, Mathematics or a closely related discipline.

Last Updated

01 August 2017

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