Taught course

Data Science and Artificial Intelligence

Institution
University of Liverpool, Online · Online Programmes
Qualifications
MSc
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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:
  • 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

August, October

Course content

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. 
Career destinations 

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

UK students
£15,300
International students
£15,300

To find out more about the funding available for online programmes with the University of Liverpool click here.

Qualification, course duration and attendance options

  • MSc
    part time
    30 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

Name
Admissions Team
Email
enquiries@study-online.liverpool.ac.uk
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