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Course options

  • Qualification

    Master of Science - MSci

  • Location

    Main Site

  • Study mode

    Full time

  • Start date

    13-SEP-21

  • Duration

    4 Years

Course summary

We have a syllabus that keeps up with current technology trends, so you can stay abreast of emerging technologies like Graph databases, mobile app development and Artificial Intelligence (AI) concepts. We will explore the basis of computer science, using industry-standard equipment, including robots, virtual and physical servers, chromebooks and mobile devices, as well as Microsoft software and industrial strength collaboration coding platforms, such as GitHub.Our extensive commercial links provide you with opportunities to experience the process of working in a team to create a system for a client with all the constraints and requirements this entails. For example, recent projects have involved robot simulators, data mining with IBM, database development, virtual reality and assistive technology. You will have the opportunity to develop specialised skills and knowledge in the areas of intelligent agents, mobile applications, open source development, concurrent and real-time applications on the undergraduate programme, as well as neural networks, machine learning, cloud computing, distributed technologies and intelligent information retrieval on the Master’s. You can also gain additional industry recognised certifications through the Microsoft and CISCO Academy Programmes.We have a highly experienced team of staff, many who have worked in the fields of machine learning, networking or data science for well-known organisations such as Maplesoft, Praeposit Limited for e-learning and Jaguar Land Rover, and others who are conducting internationally-rated research in fields such as web and mobile development, artificial intelligence, distributed systems and computing for the creative industries.**Key Course Benefits** * Programming: The underlying concepts and algorithms, which enables you to apply the programming techniques that appropriate for the problem encountered. You will have opportunity to develop core skills in programming by learning and applying syntax, problem-solving strategies, and theory common to most programming languages. We also examine professional practices associated with the industry, including key software development concepts such as testing code, version control, functional decomposition and event driven programming, as well as how to interact with non-technical users and clients. * Computer Architecture, Networking and Operating Systems: We investigate and analyse the origin, structure and use of the fundamental components of computers, how they represent data, operating systems (OS) used and networking approaches. We will explore basic OS concepts, such as processes, memory management, drivers and file systems. We cover the main features of Linux, Windows, UNIX and Mac OSI, among others.* Database Systems, Data and Information Retrieval: How to identify the database approach that best reflects the application and the use of a variety of data analytic approaches.* Software System Modelling and Project Management: We offer a practical guide to the software development processes with associated tools and techniques for modelling and project management. We focus on modern iterative process models using Agile and object-oriented (OO) modelling methods and tools, including techniques for requirements engineering and analysis, architectural design and detailed software design with patterns, completed with implementation, testing and integration.* Latest Computing-related Technologies and Development: We explore the latest technologies and development in the areas of web technologies, mobile apps, AI, concurrent and real time systems, and contribute to the open source community through the development of software and the production of large scale complex software.

Application deadline

15 January 2020

Tuition fees

Students living in United States
(international fees)

Information not available

Please check with the institution for most up to date details.

Entry requirements

Choose a qualification

A level : ABB - AAB

to include one from Mathematics, Physics, Chemistry, Further Mathematics, Computer Science, Computing or Design Technology. Excludes General Studies.

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University information

Coventry University

  • University League Table

    54th

  • Campus address

    Coventry University, Priory Street, Coventry, Warwickshire, CV1 5FB, England

Currently more than 13,000 international and EU students study across the university’s UK campuses. 17,000 more study in partner institutions worldwide.
A variety of pre-sessional English courses are available to help students prepare before starting their course. Additional costs apply.
PhD and MRes students can apply for financial support towards a project or placement with an international dimension via the international experience scheme.

Subject rankings

  • Subject ranking

    53rd out of 110

  • Entry standards

    / Max 236
    131 55%

    53rd

    7
  • Graduate prospects

    / Max 100
    84 84%

    44th

    1
  • Student satisfaction

    / Max 5
    3.95 79%

    52nd

    9

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