|Study location||United Kingdom, conventry|
|Tuition fee||£20,050 per programme|
Undergraduate diploma (or higher)
At least 2 reference(s) should be provided.
This course aims to provide you with a sound understanding of development platforms, protocols and standards with an emphasis on agile software development, artificial intelligence, machine learning, big data analysis, internet security and the development of web-based and mobile applications.
This course aims to provide you with a sound understanding of essential development platforms, protocols and standards with an emphasis on agile software development, artificial intelligence, machine learning, big data analysis, internet security and the development of web-based and mobile applications.
The course is designed with the inputs from our industry professionals to deliver the syllabus that is up-to-date and reflects employment trends.Upon successful completion of this course, you should have acquired the advanced skills and knowledge needed to help you to develop a career in the IT related fields. You may, for example, look to progress as a computer system designer, programmer, consultant, or researcher.You will have the option to apply for a ‘work placement’ opportunity2, which if secured, is designed to further develop your skills and knowledge with the aim of maximising your employability prospects. See modules for more information.
During this programme you will focus on the core technical knowledge and skills used in building computer systems with emerging platforms, protocols, industry recognised best practices and standards. This programme aims to cover key technological advancements, particularly in artificial intelligence, machine learning and their application in big data, web-based and mobile applications.
Furthermore, this programme should enable you to demonstrate the knowledge and skills you have learned by undertaking a software development project in a teamwork environment and an in-depth individual project. Guided by an experienced tutor, the projects will help develop your research skills and experience the work of IT professionals.
Computer Architecture and System Programming – 15 credits
Artificial Neural Networks – 15 credits
Web Applications and AI – 15 credits
Machine Learning and Big Data – 15 credits
Security of Emerging Connected Systems – 15 credits
Mobile Platforms and Application Development – 15 credits
Software Development Project – 30 credits
Computing Individual Research Project – 60 credits
With work placement pathway
The ‘With work placement’ opportunity2 enables you to apply in semester 1 for an optional work placement of up to 12 months, extending the duration of your master’s to 24 months. The placement provides an opportunity for you to develop expertise and experience in your chosen field with the aim of enhancing your employability upon graduation. The work placement would take place in semester’s 3, 4 and 5.
Please note that the optional placement modules incur an additional tuition fee of £4,000. Placement opportunities may also be subject to additional costs, visa requirements being met, subject to availability and/or competitive application. Work placements are not guaranteed but you will benefit from the support of our Talent Team in trying to find and secure an opportunity. Find out more about the work placement option.
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated. Part-time students should be aware that not all modules run every semester; your study plan for the course will be arranged between yourself and the Course Director and is subject to module availability.
Teaching computer science doesn’t simply mean teaching how to code. It is teaching students how to think in a different way, an algorithmic way, a creative way and it is a skill that they can apply throughout life, rather than just in computing.
Diana Hintea, Associate Head of School for Global Engagement, 2022
Diana Hintea sat in a cafe
How you’ll learn
Teaching methods may include:
LecturesSeminarsTutorialsPresentationsGroup projectsWorkshopsPractical laboratory sessions4
This course can be studied on a full-time or part-time basis. Whilst we would like to give you all the information about our part-time offering here, it is tailored for each course each year depending on the number of part-time applicants. Therefore, the part-time teaching arrangements vary. Please request information about studying this course part-time.
As an innovative and enterprising institution, the University may seek to utilise emerging technologies within the student experience. For all courses (whether on-campus, blended, or distance learning), the University may deliver certain contact hours and assessments via online technologies and methods.
In response to the COVID-19 pandemic, we are prepared for courses due to start in or after the 2023/2024 academic year to be delivered in a variety of forms. The form of delivery will be determined in accordance with Government and Public Health guidance. Whether on campus or online, our key priority is staff and student safety.
Teaching contact hours
The number of contact hours may vary from semester to semester, however, on average, it is estimated 12 contact hours per week in the taught semesters with self-study approximately 36 hours each week, depending on the demands of individual modules.
The MSc project-based semester will include supervisor meetings about 1 hour per week (depending on the arrangement with the supervisor), with self-study approximately 45 hours per week.
The contact hours may be made up of a combination of face-to-face teaching, individual and group tutorials, and online classes and tutorials.
This course will be assessed using a variety of methods which may vary depending upon the modules. Assessment methods may include:
Phase testsEssaysGroup workPresentationsReportsProjectsCourseworkIndividual Assignments
The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.
On successful completion of this course, you will have knowledge of/be able to:
Critically evaluate computation complexity associated with programming algorithms to deliver effective solutions to real-world problemsCritically evaluate computer architecture and networked system solutions along with their related security issues and threatsDevelop relevant technical skills in emerging technologies to adapt to the challenges in the computing related field in a global contextDevelop a wide range of postgraduate level professional and transferable skills in building computer-based systems in a teamwork environmentDevelop the awareness of professional, social, ethical, and legal issues along with commercial risk and management for computer-based systemsDevelop research skills required for advanced computer science topics selected according to the interests of individual studentsCritically evaluate and develop solutions to complex, inter-related, multi-faceted issues that can be found in a variety of organisations and professional contexts.
The content of this course acknowledges the borderless nature of computer science alongside the common practices and technologies used throughout the globe. Our course will offer you the opportunity to acquire relevant skills and experience with the use of emerging technologies and tools in a global context.
The practical nature of our course means that upon successful graduation, you should have developed a wide range of technical, analytical, design and professional skills, which should support a move into a range of IT and computing related areas. The course content is annually reviewed within the School of Computing, Electronics and Mathematics (CEM) in consultation with industry experts to ensure its currency and validity.