About the course
The Computer Science MSc programme has been designed to provide students with a non-computer science first degree, with the necessary technical knowledge and skills required to take up rewarding careers within the computer science industry, including interdisciplinary career opportunities.
The programme will allow students to build on their existing undergraduate degrees, and upskill their portfolio of abilities, in the context of current thinking in the domain of computer science.
More specifically, the programme will provide students with a comprehensive insight into the modern computer science landscape and augment this insight with selected specialised knowledge with a focus artificial intelligence (AI) and machine learning (ML).
Why study this subject?
On completion of the programme, you should have a good understanding of the domain of computer science and the current practice of computer science. You will have gained a systematic insight into the current theory and practice and brought your understanding of the subject matter up-to-date relevant to your first degree or profession.
During your studies, you will develop your ability to work independently, and with others, to research, design, implement and execute creative computer science solutions to practical and commercial problems, and to subject your work and that of others to critical analysis and evaluation.
You will also have an opportunity to create a professional development plan and, throughout the course of the programme, build an e-portfolio that exhibits your understanding of computer science and the practical application of computer science technology.
The Computer Science MSc consists of the following taught modules and a final dissertation project.
There is a brief break scheduled between modules to allow students to refresh themselves and reflect on what they have learned.
Shorter postgraduate diploma (120 credits) and postgraduate certificate (60 credits) awards are also available in this subject.
• Global Trends in Computer Science (15 credits)
• Software Development in Practice (15 credits)
• Databases and Information Systems (15 credits)
• Networks and Web Technology (15 credits)
• Reasoning and Intelligent Systems (15 credits)
• Machine Learning in Practice (15 credits)
• Multi-Agent Systems (15 credits)
• Research Methods in Computer Science (15 credits)
• Computer Science Capstone Project (60 credits)
Teaching methods and style
This programme is designed to be studied wholly online and part-time. Teaching is delivered through our state-of-the-art Virtual Learning Environment (VLE), which provides students with access to all resources required for interactive study online. On this platform you will be encouraged to work collaboratively with classmates and actively read around your topic through our comprehensive library of ebooks and journals.
Methods of assessment
Assessment is exclusively through online activities carried out in the VLE rather than examinations. You will be assessed through a range of activities, including discussion forum participation, practical assessment and group work.
Practical assessment adopts the principle of authentic assessment where the assessment tasks to be undertaken are aligned with the kinds of task that students would be expected to undertake in a professional setting. Examples could include presentations, reports, software, system demonstrations, reviews and/or essays.
Organisations across the computer science sector, both commercial and non-commercial, are experiencing a significant recruitment challenge. Employment opportunities within computer science far outstrip the supply of qualified computer science graduates.
The Computer Science MSc programme will address this skills gap by providing graduates with employment opportunities across the sector with a particular focus on, but not limited to, career opportunities within specialist areas of computer science, including interdisciplinary opportunities by coupling knowledge of computer science with the knowledge that graduates have acquired from their first degree.
Job opportunities are wide and varied; examples include: Software Engineer, Machine Learning Practitioner, Big Data Analyst, Network Administrator, Database Manager and IT consultant.
Applicants should possess either:
• A minimum of a 2:2 class degree in a suitable technical subject other than computer science or IT, equivalent to a UK bachelor’s degree, coupled with two years’ experience in employment; or
• Professional work experience and/or other prior qualifications, which will be considered on a case-by-case basis.
All applicants must have reached a minimum required standard of English language and are required to provide evidence of this. Successful applicants from outside the UK must have an International English Language Testing System (IELTS) score of 6.5 overall or equivalent.
Full tuition fee – £18,000* (2020/2021 academic year)
• The tuition fee is fully inclusive of all costs: teaching materials, core textbooks, assessments and resits.
• If you live in England, you may be eligible for a postgraduate loan to cover some of the costs of your degree. If you are not eligible for a student loan, you will be offered a simple monthly payment plan to spread the cost of your tuition over the duration of your studies.
• You will receive a 5% discount if you choose to pay the full tuition fee upfront.
• Scholarships of up to 15% of your tuition fee may be available. For more details speak to the University of Liverpool Online Programmes admission team.
*All tuition fees shown are net of any applicable sales tax payable by you in your country of residence. Where we are required to add sales tax at the local statutory rate, this will be added to the tuition fees shown and confirmed during the payment process.