Course summary
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. The MSc programme is accredited by the BCS, The Chartered Institute for IT, for the purposes of meeting the further learning academic requirement for registration as a Chartered IT Professional. Why study this subject? Throughout your programme you will have the opportunity to build on your existing undergraduate degree and cultivate a portfolio of abilities in the context of current thinking in the domain of computer science. This includes areas such as software development, databases and information systems, and networks and web technology. 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 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. Career destinations 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.
Modules
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)
Assessment method
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.
How to apply
International applicants
International applicants may be eligible for a range of scholarships of up to 20%. To learn if you are eligible, contact our admissions team on our website.
Entry requirements
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. Applicants should possess either: (i) a degree in any subject equivalent to a UK Bachelor’s degree (2:2 or above), or (ii) at least 2 years experience in employment, which would normally be of a technical nature, comparable with the award of a bachelor’s degree. All applicants must provide evidence that they have an English language ability equivalent to an IELTS (academic) score of 6.5. If you don’t have an IELTS or equivalent certificate, you can take our free online English test to assess your proficiency. You don’t need to prove your English ability if you are a national of, or have completed a qualification equivalent to a UK degree in, any of the eligible countries on our website.
Fees and funding
Tuition fees
| EU | £16868 | Whole course |
| International | £16868 | Whole course |
| England | £16868 | Whole course |
| Northern Ireland | £16868 | Whole course |
| Scotland | £16868 | Whole course |
| Wales | £16868 | Whole course |
| Channel Islands | £16868 | Whole course |
| Republic of Ireland | £16868 | Whole course |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
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.
Scholarships and Discounts
- You will receive a 5% discount if you choose to pay the full tuition fee upfront
- University of Liverpool alumni are eligible for 10% discount
- Regional Scholarships of up to 20%. To find out the scholarship offered in your region, please make an enquiry now.
Please note that scholarships cannot be combined. However, it is possible for students to combine discounts or use them with scholarships depending on eligibility.
*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.
Provider information
University of Liverpool
The Foundation Building
765 Brownlow Hill
Liverpool
L69 7ZX