MSc Data Science and Artificial Intelligence

Cyber Security training courses
Liverpool
3 weeks ago
Create job alert

Start Dates: 13th January 2026, 10th March 2026, 12th May 2026


Duration: 2 Years


Cost: £17,357


Program Description

Pursue a career in this high-demand sector while gaining a deep and systematic understanding into the domains of data science and AI with this fully online, part-time Data Science and Artificial Intelligence MSc from the University of Liverpool.


This conversion degree is designed for students from a non-computer science background, allowing you to gain a generalist masters in this specialist subject. The fields of data science and artificial intelligence continue to grow in importance to businesses from all sectors, and this programme benefits from the University of Liverpool’s cutting-edge research in this discipline.


Is this the right course for you?

This programme will provide you with a systematic insight into the current state of the art, and current thinking, within the remit of data science, artificial intelligence in particular, and computer science in general. The programme will complement your first-degree knowledge with a deep and systematic insight into the domain of data science and artificial intelligence.


Through this course you will:

  • Achieve a generalist degree in a specialist subject. This conversion degree is designed to provide students from a non-computer science background with a specialist set of knowledge and technical skills that have immediate application within the workplace.
  • Develop your skills in a culture of research excellence. The University of Liverpool is globally renowned for the strength of its research into artificial intelligence and, through our Digital Innovation Facility, provides a home for world-leading academic research into a broad spectrum of emerging technologies.
  • Study practical solutions to real-world problems. This programme will provide you with the necessary knowledge to research, propose and implement creative solutions to practical problems, and furnish you with a systematic insight into current thinking within data science and AI.
  • Access our online development environment to practice and refine your new skills. Throughout your programme, you will be exposed to state-of-the-art technologies and have access to industry-standard solutions, available to you as cloud services, open-source software or commercials technology; all included within your tuition fee.
  • Learn from industry experts

Computer science at the University of Liverpool is research-driven and internationally renowned for its cutting-edge work. The 2021 Research Excellence Framework rated us 5th in the UK for world leading (4*) research outputs, and 100% of research environment rated as world-leading (4*) or internationally excellent (3*). We are especially well-regarded for our expertise in artificial intelligence, and our Digital Innovation Facility, which officially opened in 2022, provides a further hub for our collaborative research in emerging technologies.


Enhance your career opportunities

Successful completion of the programme will allow you to take up careers in the growing area of data science and artificial intelligence, or in many other computer science settings, including interdisciplinary roles related to your undergraduate degree. The skills you develop will be of use in a wide range of industries including healthcare, government agencies and technology. Potential job titles are varied, and include examples such as data analyst, data scientist, database manager, machine learning practitioner and IT consultant.


Learn online anytime, anywhere

Get the University of Liverpool experience wherever you are in the world. This 100% online course features interactive classes and regular contact with staff and fellow students across the globe. 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.


Assessments are 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.


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, you can contact us via LiveChat on our website.


Applicants should possess either:



  • a degree in any subject equivalent to a UK Bachelor’s degree (2:2 or above), or
  • 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 have reached a minimum required standard of English language and are required to provide evidence of this. Successful applicants from outside the UK must have an International English Language Testing System (IELTS) score of 6.5 overall or equivalent.


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 list of countries on our website.


Payment Options

All applications will be considered on a case-by-case basis. If you want to discuss your previous qualifications and experience before applying, you can contact us via LiveChat on our website.


Fees for the academic year 2025/26


MSc: £17,357


PGDip: £11,572


PGCert: £5,786



  • 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.
  • You will receive a 5% discount if you choose to pay the full tuition fee upfront.
  • Scholarships of up to 15% of your tuition fee may be available.

Scholarships and Discounts

Corporate discounts of 10% are available for organisations looking to invest in the skills of three or more employees. For more information, please visit our website where you can speak to one of our admissions advisors to learn how you can upskill your team for organisational success.


We are delighted to offer different tuition fee discounts and scholarships for eligible students. For more information, please visit our website where you can speak to an admissions adviser.


A UK Scholarship of 20% is available for students residing in the United Kingdom, who enrol on the January 2026 intake of our full master’s awards.


International students residing in specific regions outside the UK may be eligible for a Regional Scholarship of up to 20%.


A separate application form is not required for a scholarship, as it will be applied once you have received your official offer letter. Please note, scholarships cannot be combined but can be used alongside our Up-front Payment Discount. Please note, terms and conditions apply.


*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.


Program duration (years / months)

24 months


Program type:

MSc


#J-18808-Ljbffr

Related Jobs

View all jobs

Online MSc in Data Science & AI - Flexible, Part-Time

Data Science and AI Graduate Scheme

Senior Director, Data Science and Analytics

Sewerage Data Scientist Placement Student

Python Quantitative Developer

Python Quantitative Developer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.