MSc in Data Science and Artificial Intelligence

Upskill your non-computer science background with this generalist master’s degree. You’ll acquire specialist knowledge and technical skills that have immediate application within the workplace. The primary focus of this online 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. Your learning will be supported by cutting-edge research into the field by the University of Liverpool, who is a world leader in data science and artificial intelligence research. Our Digital Innovation Facility, which officially opened in 2022, provides a purpose-built environment for cutting-edge research into multiple academic disciplines including AI, robotics and data analytics. 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. The programme is made up of the following modules and, upon completion, is equal to a total of 180 credits.

• Global Trends in Computer Science (15 credits)
• Mathematics and Statistics for Data Science and AI (15 credits)
• Software Development in Practice (15 credits)
• Databases and Information Systems (15 credits)
• Elective modules (choose three from):
  • Reasoning and Intelligent Systems* (15 credits)
  • Machine Learning in Practice* (15 credits)
  • Multi-Agent Systems* (15 credits)
  • Robotics* (15 credits)
  • Deep Learning* (15 credits)
  • Natural Language Processing and Understanding* (15 credits)
  • Data Visualisation and Warehousing (15 credits)
  • Cloud Computing (15 credits)
  • Networks and Web Technology (15 credits)
• Research Methods in Computer Science (15 credits)
• Computer Science Capstone Project (60 credits)

*Note – Two out of the three electives must be selected out of Reasoning and Intelligent Systems, Machine Learning in Practice, Multi-Agent Systems, Robotics, Deep Learning and Natural Language Processing and Understanding.

Shorter awards are available for this course; the 16-month postgraduate diploma (PG Dip) at 120 credits and the 8-month postgraduate certificate (PG Cert) at 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 assignments rather than examinations. You will be assessed through a range of activities, including written assignments, discussion forum participation and journal entries.

Introduction

Welcome to the University of Liverpool Online Programmes.

Our postgraduate programmes provide an affordable and convenient route to further your learning and progress in your career. You will receive a highly regarded qualification from a prestigious UK university and a member of the Russell Group, a group of 24 research-led UK universities committed to maintaining the highest possible standards of research and education.

Why study with the University of Liverpool Online Programmes

All our programmes have been specially designed for online learning. Teaching and assessments are flexibly delivered through our state-of-the-art learning platform, providing you with access to all the resources and support required to complete your studies online. Upon successful completion of your programme, you will be invited to graduate at the University of Liverpool’s beautiful campus in the north-west of England.

About us

The University of Liverpool has been offering online programmes since 2000. We are recognised as one of Europe's leading providers of wholly online postgraduate degrees. With a focus on career progression and global collaboration, our programmes are designed for ambitious professionals with several years of on-the-job experience, who wish to gain a prestigious qualification while not compromising on their existing commitments.

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:

• (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 countries listed on our website.

• Regional Scholarships of up to 20%. To find out the scholarship offered in your region, please make an enquiry now. 
• 10% discount for University of Liverpool alumni.
• 5% discount for up-front full tuition fee payment.
• 10% employer discount available when three or more of your employees study with us.  

Please note that scholarships cannot be combined. However, it is possible for students to combine discounts or use them with scholarships depending on eligibility. For example, the Up-Front Payment Discount can be used with the Alumni Discount or Corporate Discount or an individual scholarship (e.g., Regional Scholarship).

There are a range of opportunities within this fast-growing field for those trained in data science and artificial intelligence – and you will also be prepared for roles in other computer science settings. You may also choose to apply your new learnings to interdisciplinary roles related to your undergraduate degree or professional background. Suitable roles may include data analyst, data scientist, database manager, machine learning practitioner and IT consultant.  Alongside the subject-specific knowledge you will gain during the programme, you will also develop professional skills such as communication, teamwork, critical thinking and research. These will enhance your CV, allowing you to improve your career prospects and access more senior roles.