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 our admissions team.
Applicants should possess either:
- 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.
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 these countries
Months of entry
Upskill your non-computer science background with this generalist master’s degree by acquiring specialist knowledge and technical skills that have immediate application within the workplace.
AI and Data Science has major application in many different sectors, including IT, healthcare, government agencies and technology. Organisations across these sectors, both commercial and non-commercial, are experiencing a significant recruitment challenge.
The primary focus of this programme is to equip the students with the ability to research, propose and implement creative solutions to practical problems with the domain of Data Science and AI. Throughout your study you will have the opportunity to delve into the theories and practices of maths and statistics, software development, databases and information 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 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 assignments rather than examinations. You will be assessed through a range of activities, including written assignments, discussion forum participation, group work and journal entries.
Nearly every organisation uses AI and Data Science to refine and streamline business practices. Employment opportunities within the AI and Data Science sector far outstrip the supply of qualified Data Science and AI graduates.
Successful completion of this programme may lead to roles such as Data Analyst, Data Scientist, Database Manager, Machine Learning Practitioner, 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
Full tuition fee – £15,300 (2022/2023 academic year)
Full tuition fee – £16,065 (2023/2024 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 programme cost. 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
- 10% discount for University of Liverpool alumni.
- You will receive a 5% discount if you choose to pay the full tuition fee upfront.
- Regional Scholarships of up to 15%. To find out about the scholarship offered in your region, please make an enquiry now.
*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.