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Why choose the School of Computer Science and Technology


100% of our Construction and Engineering students are in employment or further study 15 months after graduation (HESA Graduate Outcomes, 2023)

Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council UK, our BSC Electronic Engineering fully meets the academic requirement for registration as an Incorporated Engineer

Our Cybersecurity courses received 100% positive ratings when it came to teaching staff being good at explaining things, and for the course developing knowledge and skills for the future (NSS, 2023)

About the course

This course is ideal for those who want to prepare for a career in computer science without the need to focus solely on one particular subject area at this stage. It offers you the opportunity to gain real-world work experience via an integrated placement.

The course equips you to fully understand the application of computing technology in real-world situations with study focused at the cutting edge of computational technologies. It shares its first stage with our other related MSc degrees to give you a foundation in the subject while providing a platform for specialist study in the second and third stages.

Subjects range from networking and data modelling to intelligent systems and data mining and you gain in-depth skills in network management and administration. You also complete an MSc research project to demonstrate your deep understanding of your chosen area within computer science.

Why choose this course?

  • The course is offered via block delivery with six entry points through the academic year so you can start when it most suits you
  • You gain work experience via an integrated 32-week work placement
  • Study in our modern STEM building with staff active in networking and security research
  • Benefit from using the latest specialised computing equipment including virtualised environments

Course Leader - Dr Vitaly Schetinin

Vitaly has obtained a PhD in Machine Learning and worked as a postdoc researcher at the University of Jena in Germany and the University of Exeter. His research has been supported by the UK Leverhulme Trust, EPSRC and recently by the British Council of English language examination in part of AI based fraud detection. The research impact has been developed in assessment of new-born brain development, brain computer interaction, medical imaging, and Heathrow airport traffic management. In particular, the research in trauma survival prediction has demonstrated a significant improvement in reliability of the current technologies used in the US and UK emergency units. Students being engaged in research normally develop a high profile and publish conference papers allowing them to continue study in Imperial, UCL, and other top universities, undertake a PhD study, as well as develop outstanding careers in industry.

Course Leader - Dr Vitaly Schetinin

Vitaly has obtained a PhD in Machine Learning and worked as a postdoc researcher at the University of Jena in Germany and the University of Exeter. His research has been supported by the UK Leverhulme Trust, EPSRC and recently by the British Council of English language examination in part of AI based fraud detection. The research impact has been developed in assessment of new-born brain development, brain computer interaction, medical imaging, and Heathrow airport traffic management. In particular, the research in trauma survival prediction has demonstrated a significant improvement in reliability of the current technologies used in the US and UK emergency units. Students being engaged in research normally develop a high profile and publish conference papers allowing them to continue study in Imperial, UCL, and other top universities, undertake a PhD study, as well as develop outstanding careers in industry.

Course Leader - Dr Vitaly Schetinin

Vitaly has obtained a PhD in Machine Learning and worked as a postdoc researcher at the University of Jena in Germany and the University of Exeter. His research has been supported by the UK Leverhulme Trust, EPSRC and recently by the British Council of English language examination in part of AI based fraud detection. The research impact has been developed in assessment of new-born brain development, brain computer interaction, medical imaging, and Heathrow airport traffic management. In particular, the research in trauma survival prediction has demonstrated a significant improvement in reliability of the current technologies used in the US and UK emergency units. Students being engaged in research normally develop a high profile and publish conference papers allowing them to continue study in Imperial, UCL, and other top universities, undertake a PhD study, as well as develop outstanding careers in industry.

Course Leader - Dr Vitaly Schetinin

Vitaly has obtained a PhD in Machine Learning and worked as a postdoc researcher at the University of Jena in Germany and the University of Exeter. His research has been supported by the UK Leverhulme Trust, EPSRC and recently by the British Council of English language examination in part of AI based fraud detection. The research impact has been developed in assessment of new-born brain development, brain computer interaction, medical imaging, and Heathrow airport traffic management. In particular, the research in trauma survival prediction has demonstrated a significant improvement in reliability of the current technologies used in the US and UK emergency units. Students being engaged in research normally develop a high profile and publish conference papers allowing them to continue study in Imperial, UCL, and other top universities, undertake a PhD study, as well as develop outstanding careers in industry.

Course Leader - Dr Vitaly Schetinin

Vitaly has obtained a PhD in Machine Learning and worked as a postdoc researcher at the University of Jena in Germany and the University of Exeter. His research has been supported by the UK Leverhulme Trust, EPSRC and recently by the British Council of English language examination in part of AI based fraud detection. The research impact has been developed in assessment of new-born brain development, brain computer interaction, medical imaging, and Heathrow airport traffic management. In particular, the research in trauma survival prediction has demonstrated a significant improvement in reliability of the current technologies used in the US and UK emergency units. Students being engaged in research normally develop a high profile and publish conference papers allowing them to continue study in Imperial, UCL, and other top universities, undertake a PhD study, as well as develop outstanding careers in industry.

Course Leader - Dr Vitaly Schetinin

Vitaly has obtained a PhD in Machine Learning and worked as a postdoc researcher at the University of Jena in Germany and the University of Exeter. His research has been supported by the UK Leverhulme Trust, EPSRC and recently by the British Council of English language examination in part of AI based fraud detection. The research impact has been developed in assessment of new-born brain development, brain computer interaction, medical imaging, and Heathrow airport traffic management. In particular, the research in trauma survival prediction has demonstrated a significant improvement in reliability of the current technologies used in the US and UK emergency units. Students being engaged in research normally develop a high profile and publish conference papers allowing them to continue study in Imperial, UCL, and other top universities, undertake a PhD study, as well as develop outstanding careers in industry.

What will you study?


Distributed And Parallel Computing Technologies

The demand for high-performance computing for solving large-scale problems is steadily growing. While processor speeds are increasing, the complexity of computation is increasing at a higher rate.  Parallel and Distributed computer systems enable the performance of computationally expensive algorithms to be significantly improved. This unit will explore the area of distributed computing, giving insights into the programming technologies as well as into design and deployment of Parallel and Distributed computer systems.

 

The unit aims to:

  • provide students with an understanding of the fundamental concepts of parallel and distributed architectures
  • give students the theoretical understanding and practical skills in distributed and parallel computing
  • encourage students to develop analytical skills in specifying and evaluating parallel and distributed computational technologies
  • engage students in analysis of current and emerging trends in the subject area

Intelligent Systems And Data Mining

The unit engages students to study the advanced concepts of  Intelligent Systems and Data Mining technologies, which are essential in the modern Computer Science. The unit covers  theoretical and practical concepts of designing the intelligent and data mining technologies for solving real-world problems. The intelligent and data mining technologies are highly demanded for designing industrial and business applications.  The efficient solutions are developed by using R, Python, or MATLAB  scripting languages.  

The unit aims to:

  • equip you with practical skills in data management and knowledge representation
  • provide you with insights into methods which utilise logical, statistical inferences, and Machine Learning
  • give you the theoretical understanding and practical skills of developing intelligent technologies,  required for solving real-world problems.

 

 

 

 

Network Systems And Administration

Network systems and the services providing the necessary business operations on network servers are essential to the processes and security of any business enterprise. Systems and network administrators are the specialists that provide the essential work to ensure and maintain the smooth, problem-free, and secure operations of the network servers.
This unit aims to critically review the design and implementation of network systems within the context of real-world business requirements and demonstrate your skills in system administration and management. You will examine in depth the networking technologies, managing and troubleshooting of network systems, and emerging trends. Your critical analysis, design, implementation, evaluation, administration, and management of specific network services and their security will be demonstrated through the unit and its assessment.

Research Methodologies And Project Management

This unit introduces students to research and the methodologies used to underpin scientific work, data analysis, hypotheses establishment and artefact validation in understanding research in an appropriate subject discipline. The material in this unit is carefully designed to meet students’ needs and requirements for their programme of study along with essential project management skills to support their research activities. Students will be exposed to a wide variety of tools, techniques, methodologies and processes in the field of project management which encapsulate both modern and traditional approaches as an essential preparation for the dissertation stage. The unit also draws on expertise from other departments within the university including library services, the careers and employability service and the English language centre to support students in the best possible way.

Msc Project With Placement - Computer Science

The project unit is essential for you to use and develop comprehensive skills and knowledge gained from other units and from your wider educational and working background in a major integrative exercise. This unit will also allow you to comprehend the role and the organisation in which you work on your placement and undertake responsibilities in the work place at an appropriate graduate level as well as bringing together all of your skills and knowledge and applying them to your project. While working creatively under the appropriate guidance of a member of academic and placement company staff, you will generate an idea and demonstrate your ability to develop it further, producing a suitable artefact by applying your technical, analytical, practical and managerial skills in an integrated manner. You are required to emphasise on a topic which sufficiently reflects on the course you are studying.
The project unit is aiming at your ability to demonstrate that you have the appropriate level of intellectual skills (ability to synthesise, criticise, develop and integrate material that you have met in the taught units); to identify problems, analyse situations and develop solutions; to develop your project management skills to schedule your time and work and to schedule resources under supervision; to carry out and present in an organised way a substantial body of original work; to develop your professionalism and employability skills within the placement company.

How will you be assessed?


The assessment strategy used is a balance of written reports exams (coursework) assignments and computer-based assessment. The method used will depend on the nature of the subject being taught in the unit and the most appropriate method has been chosen. Coursework assignments typically incorporate formative feedback so that you can gain an insight into whether your work is meeting the necessary targets.

The feedback on your submitted assessments will be provided within 15 working days. The lecturers are expected to take every effort to provide you the feedback as early as possible before the next assessment if any. If you fail an assessment and need to retake or resit the assessment you can do so in the next available opportunity which is normally in the assessment week of the next block. If you fail a unit and need to retake this unit you can do so when the unit is run again.

Careers


On graduation you will be equipped with the technical practical and business skills needed to pursue a career in the technology domain. It opens up a wide range of IT careers such as system/data analyst; programmer; IT project manager; web application developer or manager; database architect; or system administrator.

You can also pursue further research within the ever-expanding field of computer science including continuing your studies through an MSc by Research MPhil or PhD.

Entry Requirements

2.2 honours degree or equivalent in related area

Entry Requirements

2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area

Entry Requirements

2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area

Entry Requirements

2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area

Entry Requirements

2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area

Entry Requirements

2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area2.2 honours degree or equivalent in related area

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