Advanced Computer Science (MSc)

Postgraduate

In Keele

£ 4,200 + VAT

Description

  • Type

    Postgraduate

  • Location

    Keele

  • Start date

    Different dates available

The MSc Advanced Computer Science course prepares students to work in roles that require the use of data management, analysis and presentation tools, the development of software to deliver services or to control complex processes and equipment, or to provide system analysis and development consultancy to a varied range of clients. The course does not require background in programming or data analysis and for those with no such background appropriate training is offered to catch up with others who already have such training or experience. The course aims to match the needs of business that compete globally in a world driven by advances in information technology. The programme aims to develop both technical and people skills making our graduates ready for jobs that offer high satisfaction and regular challenge at the same time. The first semester of the course is organised into modules delivered intensively over three week periods. The second semester is organised using usual semester-long modules with the difference that all these modules are assessed by coursework only. The summer semester is dedicated to a Master’s level research or development project.

Facilities

Location

Start date

Keele (Staffordshire)
See map
Keele University, ST5 5BG

Start date

Different dates availableEnrolment now open

About this course

The typical admission requirement is a Second Class Honours or higher degree (overseas equivalent accepted) from an undergraduate or postgraduate programme of a university recognized as such by Keele University. Alternatively the applicant should have completed an approved pre-masters course. The candidate must demonstrate a level of English language capability in reading, speaking and writing in one of the following ways:
have achieved IELTS 6.5 or higher;
have successfully undertaken a previous degree level programme taught entirely in English;
have successfully completed an...

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

Subjects

  • Project
  • Design
  • Programming
  • Systems
  • Web
  • Computing
  • Technology

Course programme

The following indicates the range of modules that may be offered and may be subject to change:
Core Modules:
User Interaction Design (15 credits – Semester 1): The module provides the knowledge and skills required for a student to be able to work on User Interaction Design based on an evaluated assessment of the factors associated with a given application or user interaction scenario.
Distributed Intelligent Systems (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to develop applications to control intelligent systems in a distributed and collaborative context, including the programming of robots or intelligent home appliances (e.g. TV, fridge, etc. equipped with embedded computers).
Statistical Techniques for Data Analytics (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to develop applications to store, process, distribute, visualise and analyse large volumes of big data using distributed databases, statistical techniques and machine intelligence methods.
Cloud Computing (15 credits – Semester 2): The module provides the knowledge and skills required for a student to be able to understand the principles of operations of cloud computing and to develop applications for cloud computing environments, e.g. data storage and distribution, software-as-service, interactive content services.
Web Technologies and Security (15 credits – Semester 2): To module provided an understanding of contemporary web technologies used for both server and client side development of web applications, with particular focus on mobile applications, and an understanding of security aspects of such applications and of the defence methods and techniques employed to provide security.
Collaborative Application Development (15 credits – Semester 2): The module places students in a real world scenario requiring co-operation and communication as well as analysis and design skills. This will involve work for a real world client working as a development team.
Problem Solving Skills for Consultants (15 credits – Semester 1 & 2): This module explores skills such as project management, communication and team working and building. It also provides knowledge of ethical, legal and social issues related to the development and deployment of Information Technology.
Optional Modules:
System Design & Programming (15 credits – Semester 1): This module provides the knowledge and skills required for a student to be able to design software systems and write object oriented programs in an appropriate programming language (e.g. Java, C#).
Research Horizons (15 credits – Semester 1): To module provides the knowledge for a student about a selected computer science research area and the skills required for the development of a mini-project in this area
Project or Industrial Placement
MSc Project or Industrial Placement (60 credits – Semester 3): Provides an integration of concepts taught on the course in either an academic or business environment.

Advanced Computer Science (MSc)

£ 4,200 + VAT