This course offers advanced topics in Computer Science to existing graduates in Computing or a strongly-related discipline. It allows you to gain expertise in the design and implementation of sophisticated information systems that respond to the challenges faced by organisations in areas such as security, big data and cloud computing.
This course will produce computing specialists who:
Have a good understanding of current computing trends
Are proficient in the use of modern applications and environments
Are able to match tools and technologies to the needs of commerce and industry
Are able to integrate these technologies to develop high-quality information systems
The course is offered full-time and part-time. The part time mode is ideal if you would like to further your career but are unable to commit to full time study.
What you will study
Big Data Analytics and Visualisation
Systems Programming and Security
Web System Development
Professional Development & Research Skills
How you will learn
Throughout the course, content is complemented by practical work, allowing you to support your theoretical development by providing real-life simulation. You will be taught through a mixture of lectures, tutorials, labs and external speakers. You will also be supported through our online virtual learning environment where you can access a wide variety of resources and other support materials.
The individual project provides an opportunity for applying specialist knowledge together with analytic, problem-solving, managerial and communication skills to a particular area of interest within Computer Science. Working with the full support and guidance of an allocated project supervisor, you will be given the opportunity to propose, plan, specify, develop, evaluate, and present a substantial project.
Students who perform particularly well during their first semester of studies will be invited to apply for a 45-week internship.
Applicants to this course may be eligible for a scholarship. More information can be found on the Computing Scholarships pages.
Postgraduate Tuition Fee Loan
Applicants (Scottish domiciled and EU) to this course may be eligible for a Postgraduate Tuition Fee Loan (PTFL). Full-time students can apply for a PTFL up to £3400. Part-time students can apply for up to £1700. The tuition fee loan is only available to part-time students who are undertaking at least 50% of a full-time course, and therefore, complete their qualification in 2 years.
Students can apply now by downloading an application form from the SAAS web site.
How to apply
All students can apply online by visiting Apply Online at http://www.rgu.ac.uk/applyonline
If you have any queries, please contact our Admissions Office:
Email [email protected]
If you are an International Student and would like further information and application advice:
Complete our International Enquiries form
Call 0044 1224 262726 or Email [email protected]
Opportunities exist in the analysis, design, implementation and management of software projects; the development of web applications and services; consultancy work in software architecture, Big Data Analysis and Cloud Computing. Previous graduates have gone on to work as IT consultants, software engineers, network managers/ administrators, database developers/ administrators, and web services developers.
Graduates have also gone on to pursue careers in research and academia.
This course is ideal for students who possess an honours degree in computing or with significant computing content. This requirement may be relaxed for candidates with significant relevant industrial experience. All international students, for whom English is not their first language, must provide evidence of linguistic ability, by gaining either IELTS 6.0 or its equivalent prior to receiving an unconditional offer of a place on the course.
Scottish/EU: Full-time-£3,400, Part-time-£1,700; UK: Full-time- £7,480, Part-time-£3,375; International: Full-time £13,700, Part-time £5,150