At a Glance
- Tasks: Gain essential skills in computer science and AI through a fully online MSc programme.
- Company: University of Liverpool, renowned for its cutting-edge research in technology.
- Benefits: Flexible online learning, competitive tuition fees, and access to industry-standard resources.
- Other info: Enjoy interactive classes and global networking opportunities from anywhere.
- Why this job: Join a high-demand sector and boost your career with a globally recognised qualification.
- Qualifications: Open to all backgrounds; just need a degree or relevant work experience.
The predicted salary is between 25000 - 32000 £ per year.
Start Dates: 15 September 2026, 17 November 2026, 12 January 2027
Duration: 2 Years
Cost: £17,947
Overview:
Equip yourself with the necessary technical knowhow to transition to a career in computer science with this part-time, fully online conversion Computer Science MSc programme from the University of Liverpool. Designed for professionals from a non-computing background, this programme will provide you with a comprehensive insight into the modern computer science landscape, and augment this with selected specialist knowledge in artificial intelligence. The career prospects for our graduates have never been better, with over 90% of Liverpool's computer science graduates going onto well-paid graduate jobs.
Is this the right course for you?
This programme will provide you with a good understanding of the domain of computer science. You will gain a systematic insight into the current theory and practice and bring your understanding of the subject matter up to date, in connection to your first degree or profession.
Through this programme, you will:
- Gain access to a high-demand job sector. This conversion degree is specifically designed for professionals from a non-computing background, providing a thorough grounding in the essential technologies and current trends of computer science.
- Extend your knowledge with specialist modules in artificial intelligence. 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.
- 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 commercial 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
The skills gap in the technology industry continues to increase. By studying this conversion degree, you will acquire the necessary skills and knowledge to access careers across this field, including within the growing field of artificial intelligence. Job roles you may be eligible for following completion of the programme include software engineer, machine learning practitioner, big data analyst, network administrator, database manager, IT consultant, AI developer, research scientist and information strategy manager.
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. 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
Fees for the academic year 2026/27 MSc: £17,947 PGDip: £11,965 PGCert: £5,983. 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. 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.
Scholarships and Discounts
Global scholarships of up to 15% for international students residing in specific regions outside the UK. 10% discount for University of Liverpool alumni. 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. 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. 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: 24 months
Program type: MSc. 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.
Online MSc in Computer Science with AI Specialization employer: University of Liverpool | Online
The University of Liverpool is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee development and innovation. With access to cutting-edge research facilities and a commitment to professional growth, employees are empowered to thrive in their careers while contributing to world-leading advancements in computer science and artificial intelligence. The fully online nature of the MSc programme allows for flexible working arrangements, making it an ideal environment for those seeking meaningful and rewarding employment.
Contact Details:
University of Liverpool | Online Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Online MSc in Computer Science with AI Specialization
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like University of Liverpool | Online.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at University of Liverpool | Online and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Online MSc in Computer Science with AI Specialization
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at University of Liverpool | Online aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at University of Liverpool | Online
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with University of Liverpool | Online.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to University of Liverpool | Online.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at University of Liverpool | Online, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at University of Liverpool | Online will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.