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All applications will be considered on a case-by-case basis. If you want to discuss your previous qualifications and experience before applying, please contact us now via LiveChat.
- A degree in a subject other than Computer Science or IT, equivalent to a 2:2 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.
Months of entry
May, August, October
Elevate your career opportunities in the computer science industry with this conversion programme.
Computer science is a constantly evolving industry focusing on the advancement of technology, as well as its application in our daily lives.
This programme is tailored to students from a non-computer science background to provide necessary technical knowledge, skills and experience in the rapidly growing sector of computer science. You will gain a comprehensive insight into the global trends in computer science and augment this insight with specialised knowledge of AI trough modules covering machine learning in practice, multi-agent systems and reasoning and intelligent systems.
Teaching methods and style
This programme is designed to be studied wholly online and part-time. Students are able to peruse the course in their own time, within the weekly time frame of each seminar. Teaching is delivered through our state-of-the-art vVirtual lLearning eEnvironment (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 assignments rather than examinations. You will be assessed through a range of activities, including written assignments, discussion forum participation, group work and journal entries.
One of the programme’s key characteristics is to help address the skills gap in computer science sector by providing graduates with the employment opportunities across the industry with a particular focus on, but not limited to, interdisciplinary opportunities by coupling knowledge of computer science with the knowledge that the graduates have gained from their first degree.
Potential job titles include Software Engineer; Machine Learning Practitioner; Big Data Analyst; Network Administrator; Database Manager; and IT consultant.
Information for international students
International students may be eligible for Regional Scholarships of up to 15%. To find out more, please contact our admissions team.
Fees and funding
To find out more about the funding available for online programmes with the University of Liverpool click here.
Qualification, course duration and attendance options
- part time30 months
- Online learningis available for this qualification
To achieve a full master’s degree, you will be required to complete 180 credits. This programme is also available as a postgraduate certificate (PG Cert) which amounts to 60 credits and a postgraduate diploma (PG Dip) which amounts to 120 credits. Students who complete the PG Cert and PG Dip will have the opportunity to progress to a full master’s degree.
Course contact details
- Admissions Team