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Qualification type
MSc

Data Science and Artificial Intelligence

Study mode
Full-time
Duration
12 months
Start date and application deadlines
Apply by:
Starts on:

We've set the country or region your qualifications are from as United Kingdom.

How to apply
UK students

Apply for this course by:

There is no fee to apply for our courses.

What you'll need

If you studied any part of your degree in China, you’ll need to obtain a triage service number to submit with your application. There is a charge of £25 for this service.

You'll also need to submit:

  • School or college transcripts/certificates
  • University transcripts and certified translations if applicable
  • Degree certificates
  • Personal statement outlining your learning ambitions

Our application process

  1. Sign into the University of Liverpool Application Portal and start your application
  2. Submit your application
  3. We'll email you to let you know we're processing your application
  4. Track the progress of your application using the Postgraduate Application Tracker (we'll send you a link to the tracker)
  5. We'll email you when a decision has been made
  6. If you've been made an offer, you can then accept or decline it using the Postgraduate Application Tracker.

Already a University of Liverpool student?

Apply faster with the quick apply form for current University of Liverpool students.

Need help applying?

Our how to apply pages provide further information about applying online for our taught postgraduate courses.

If you are unable to apply via our online form, or need further support, please contact the postgraduate enquiries team.

International students

Apply for this course by:

There is no fee to apply for our courses. However, once you’ve been made an offer to study with us you are required to pay a fee deposit.

What you'll need

If you studied any part of your degree in China, you’ll need to obtain a triage service number to submit with your application. There is a charge of £25 for this service.

You'll also need to submit:

  • School or college transcripts/certificates
  • University transcripts and certified translations if applicable
  • Degree certificates
  • Evidence of English Language proficiency (EU and international applicants only)
  • Personal statement outlining your learning ambitions.

Our application process

  1. Sign into the University of Liverpool Application Portal and start your application
  2. Submit your application
  3. We'll email you to let you know we're processing your application
  4. Track the progress of your application using the Postgraduate Application Tracker (we'll send you a link to the tracker)
  5. We'll email you when a decision has been made
  6. If you've been made an offer, you can then accept or decline it using the Postgraduate Application Tracker.

Already a University of Liverpool student?

Apply faster with the quick apply form for current University of Liverpool students.

Need help applying?

We provide further information about applying online.

If you are unable to apply via our online form, or need further support, please contact the postgraduate enquiries team.

Combine this subject

With a combined degree, you can study two subjects as part of the same degree programme.

  • Choose from 30 subjects and over 300 combinations
  • Choose joint or major minor subjects
  • Adjust the weight of your subjects at the end of your first year
  • Same number of credits as single honours students
  • Same classes as single honours students
  • Appeal to a wide range of employers

Explore combined degrees for Data courses

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Meet us online from Monday 24 – Friday 28 March to discover more about master’s study at Liverpool.

About this course

This conversion MSc introduces graduates without a computer science related degree to Data Science and AI principles, with a thorough grounding in mathematics and statistics, data mining, artificial intelligence and the fundamentals of programming, to enable you to develop a toolkit of skills in data science and emerging technologies.


Introduction

With organisations increasingly reliant on data science and artificial intelligence (AI), understanding how to analyse, validate and interpret data can significantly enhance your employability.

If you’re a graduate in a subject that’s not related to computer science, this conversion MSc will complement your first degree and prepare you to meet the high demand for professionals in data science and AI technologies.

With the roots of data science embedded in mathematics, we’ll start by introducing you to linear algebra, differential calculus, probability theory and statistics. This will prepare you for working with data mining algorithms and experimenting using real-world data.

You’ll receive an overview of how to design and create software, including an intensive introduction to programming, and explore key topics in AI. We’ll also provide a thorough grounding in how to plan and conduct research in preparation for your dissertation.

Further opportunities to specialise and enhance your knowledge of big data, web programming, bio-inspired algorithms and modern information systems are available through a range of optional modules.


Who is this course for?

This is a conversion MSc, designed for those without a computer science related degree, who are seeking to develop their maths skills and their knowledge and technical expertise in the areas of Data Science and AI. If you do have a Computer Science related degree, you may want to consider applying for the Advanced Data Science and Artificial Intelligence MSc.

Which postgraduate degree is right for you?

The Department of Computer Science offers master’s programmes for students with undergraduate degrees in Computer Science and other disciplines.

If you have a Computer Science related degree, you could be eligible for the following master’s courses:

Computer Science related degrees may include degree titles such as: Computer Applications, Computer Science, Computer Engineering, Computer Applications and Engineering, and Software Engineering. Please note that this list is not exhaustive. Any Computer Science related degree should contain a significant amount of computer science related modules to be relevant (as assessed by the Department of Computer Science).

If you don’t have a Computer Science related degree and you are interested in learning more about the field, you may be eligible to study:

Please check individual course pages for detailed entry requirements.


What you'll learn

  • How to design and create software using a modern programming language
  • Essential mathematical concepts and techniques in linear algebra, differential calculus, probability theory and statistics
  • Key topics in artificial intelligence, including machine learning, deep learning, natural language processing (NLP) and computer vision
  • How to develop web applications
  • The role of artificial intelligence in communication
  • Data mining techniques and challenges using real-world datasets
  • Application of visualisation methods to data mining
  • Research skills in computer science
  • Bio-inspired algorithms for optimisation and machine learning
  • How big data is collected and used in modern society
  • The role of structured query language, SQL, in information systems.

Accreditation

This course is pending accreditation by BCS, The Chartered Institute for IT.

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Course content

Discover what you'll learn, what you'll study, and how you'll be taught and assessed.

September start

This course consists of five compulsory modules, four optional modules and a research project.

The course is available to start in September or January. If you choose to start in September, you’ll undertake taught modules from September to May. This will be followed by your research project over the summer.

January start

This course consists of five compulsory modules, four optional modules and a research project.

The course is available to start in September or January. If you choose to start in January, you’ll undertake taught modules from January to May. This will be followed by your research project over the summer and then your final set of taught modules from September to January. On successful completion of the course, following a January start, you can expect to graduate at our summer graduation ceremonies.

Teaching and assessment

How you'll learn

Teaching on this programme comprises formal lectures, small group tutorials and practical sessions in computer laboratories. You will also take part in one or more group projects. At the end of the year, you’ll complete a major individual research project under expert supervision.

How you're assessed

Modules are assessed through a combination of examinations and coursework. The examinations take place at the end of each semester and typically take the form of an in-person written assignment, usually to be completed in a couple of hours. You’ll be assigned coursework across the length of each semester. This typically takes the form of class tests, programming assignments or small projects.

Your dissertation is assessed through a combination of written reports and a presentation of your achievements.

Liverpool Hallmarks

We have a distinctive approach to education, the Liverpool Curriculum Framework, which focuses on research-connected teaching, active learning, and authentic assessment to ensure our students graduate as digitally fluent and confident global citizens.

The Liverpool Curriculum framework sets out our distinctive approach to education. Our teaching staff support our students to develop academic knowledge, skills, and understanding alongside our graduate attributes:

  • Digital fluency
  • Confidence
  • Global citizenship

Our curriculum is characterised by the three Liverpool Hallmarks:

  • Research-connected teaching
  • Active learning
  • Authentic assessment

All this is underpinned by our core value of inclusivity and commitment to providing a curriculum that is accessible to all students.

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Course options

Studying with us means you can tailor your degree to suit you. Here's what is available on this course.

Year in industry

Year in industry placements give you an in-depth workplace experience where you can develop your skills and apply your learning. It's a great way to gain insight into potential career options and start building your professional network. Completing this programme with a year in industry usually takes two years, with the placement typically running for 30 weeks from September to June.

View Data Science and Artificial Intelligence with a Year in Industry MSc

To spend a year in industry, you'll need to secure a placement with an organisation. If you're unable to find a placement, you'll continue with the standard version of the course without a year in industry.

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Your experience

The Department of Computer Science (with history going back to the 1960s) is a Centre of Excellence for teaching and research. The latest Research Excellence Framework rated 100% of our research outputs as being world-leading or internationally excellent, the highest proportion of any Computer Science department in the UK.

Explore where you'll study

Picture by Gareth Jones
Student with a robot
Testing and deploying code
Application development
Real life applications
Computer room
North Campus view of the Victoria Gallery and Museum
The Quadrangle behind the VGM
Watch on Panopto: An introduction to data science and artificial intelligence

An introduction to data science and artificial intelligence

Watch on Panopto: A tour of the Computer Science department and facilities

A tour of the Computer Science department and facilities

Dr Terry Payne talks you through what you can expect studying Computer Science at the University of Liverpool and shows you some of the facilities and equipment you will be using.

Virtual tour

Supporting your learning

From arrival to alumni, we’re with you all the way:

An exciting place to study Computer Science

  • You will be taught by some of the best researchers in the field. In the most recent Research Excellence Framework, the research output of our department was ranked 5th in the UK. This research expertise shows through in our teaching
  • We teach in state-of-the-art PC and Mac laboratories running a variety of different operating systems, as well as iOS and Android tablets to encourage creativity and innovation within a stimulating environment in which to work and study
  • Our programmes are continually updated to reflect new technologies and trends.

I like the curriculum, which is super friendly for students who may not have a strong computer science background. Learning data science and artificial intelligence at a top-ranked university for computer sciences is a coveted opportunity for me.

Xueping Yang, MSc Data Science and Artificial Intelligence 2021
Two students chatting while walking through campus.

Chat with our students

Want to find out more about student life?
Chat with our student ambassadors and ask any questions you have.

Watch on Panopto: A day in the life of Computer Science student Shania

A day in the life of Computer Science student Shania

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Careers and employability

Data science and artificial intelligence driven technologies are becoming integral parts of our lives and changing the ways people do business.

Nearly every organisation uses data science and artificial intelligence to refine and streamline their business practices. The significant opportunities afforded by the application of data science and artificial intelligence across so many different sectors, from IT and healthcare to government agencies, mean that professionals in this area are in high demand, with job opportunities far outstripping supply.

This MSc addresses this skills gap by preparing you for an exciting career in data science and artificial intelligence. This includes interdisciplinary opportunities tailored to your individual expertise, achieved by coupling knowledge of data science and artificial intelligence with the knowledge that you acquired from your first degree.

You’ll be well placed on graduation to secure a variety of roles, including:

  • Data analyst
  • Data scientist
  • Data engineer
  • Database manager or administrator
  • Machine learning practitioner
  • Data architect
  • Statistician
  • Business analyst
  • IT consultant.

Your expertise working with data will also provide ideal preparation for potential PhD study.

In the UK, graduate schemes in data analysis and business intelligence at larger companies tend to offer a starting salary of around £30,000.

Salaries for data analysts are typically between £30,000 and £40,000.

Experienced, high-level and consulting jobs can attract salaries of £60,000 or more.

source: Prospects, Sept 2024

employment

87% of Computer Science students find their main activity after graduation meaningful.

(Graduate Outcomes, 2018-19.)


Career support from day one to graduation and beyond

Career planning

Our campus Career Studio is a space for students and graduates to drop into and talk to a career coach. Career coaches are highly trained to help no matter what stage you are at in your career planning. You can access support to find and apply for full-time and part-time roles, placements, internships and graduate schemes. You will also find the help you need if you have a start-up idea or want to create a business plan. You can explore the world of work, prepare for job interviews, and access careers events and workshops. The Career Studio is open Monday to Friday from 10am-5pm, simply drop in at a time that works for you.

From education to employment

We develop our programmes with employers in mind. You will be supported to enhance your long-term employment prospects as you learn. We do this by exposing you to professionals, a variety of sectors and supporting you to work collaboratively with others to develop transferable skills. You are equipped with a clearer view of what to focus on in your area of interest, and to reflect on your studies. Our digital employability tools give you a tech-enhanced curriculum experience and make it easy for you to prepare for the world of work. You can use tools like the Handshake platform to connect with employers and message the Career Studio 24/7.

Networking events

You can start building good professional networks by attending events and employability activities. Our events are designed to develop your skills and expose you to many different employers, as well as to help you make contacts in your field. We help you improve your confidence when speaking to employers and give you access to unique opportunities. Our networking events also boost your understanding of the competencies and skills that employers are looking for in their recruitment process, giving you a competitive edge.

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My qualifications are from United Kingdom.

Fees and funding

Your tuition fees, funding your studies, and other costs to consider.

Tuition fees

UK fees (applies to Channel Islands, Isle of Man and Republic of Ireland)

Full-time place, per year - £13,300

International fees

Full-time place, per year - £30,800

Fees stated are for the 2025-26 academic year.

Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support.

If you're a UK national, or have settled status in the UK, you may be eligible to apply for a Postgraduate Loan worth up to £12,167 to help with course fees and living costs. Learn more about paying for your studies..


Additional costs

We understand that budgeting for your time at university is important, and we want to make sure you understand any course-related costs that are not covered by your tuition fee. This could include buying a laptop, books, or stationery.

Find out more about the additional study costs that may apply to this course.


Scholarships and bursaries

We offer a range of scholarships and bursaries that could help pay your tuition and living expenses.

John Lennon Memorial Scholarship

If you’re a UK student, either born in or with strong family connections to Merseyside, you could be eligible to apply for a fee discount of up to £4,500. You’ll need to demonstrate an active interest in global, community and environmental issues to be considered.

Postgraduate Opportunity Bursary

If you’re a UK University of Liverpool graduate joining a master’s degree with us, you could be eligible to receive £3,000 off your tuition fees. You must have graduated in the last two years and received a widening access scholarship during your undergraduate studies.

Sport Liverpool Performance Programme

Apply to receive tailored training support to enhance your sporting performance. Our athlete support package includes a range of benefits, from bespoke strength and conditioning training to physiotherapy sessions and one-to-one nutritional advice.

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My qualifications are from United Kingdom.

Entry requirements

The qualifications and exam results you'll need to apply for this course.

Qualification Details
Postgraduate entry requirements

You will normally need a high 2:1 honours degree (65%), or above, or equivalent. This degree should be in a subject that’s not related to computer science.

We are able to offer a level of flexibility for applicants. Those with a 2:2 honours degree will be considered on an individual basis.

International qualifications

Many countries have a different education system to that of the UK, meaning your qualifications may not meet our entry requirements. Completing your Foundation Certificate, such as that offered by the University of Liverpool International College, means you're guaranteed a place on your chosen course.


English language requirements

You'll need to demonstrate competence in the use of English language, unless you’re from a majority English speaking country.

We accept a variety of international language tests and country-specific qualifications.

International applicants who do not meet the minimum required standard of English language can complete one of our Pre-Sessional English courses to achieve the required level.

Qualification Details
IELTS 6.5 overall, with no component below 5.5
TOEFL iBT 88 overall, with minimum scores of listening 17, writing 17, reading 17 and speaking 19. TOEFL Home Edition not accepted.
Duolingo English Test 120 overall, with no component below 95
Pearson PTE Academic 61 overall, with no component below 59
LanguageCert Academic 70 overall, with no skill below 60
PSI Skills for English B2 Pass with Merit overall and no band below B2 Pass
INDIA Standard XII National Curriculum (CBSE/ISC) - 75% and above in English. Accepted State Boards - 80% and above in English.
WAEC C6 or above

Pre-sessional English

Do you need to complete a Pre-sessional English course to meet the English language requirements for this course?

The length of Pre-sessional English course you’ll need to take depends on your current level of English language ability.

Pre-sessional English in detail

If you don’t meet our English language requirements, we can use your most recent IELTS score, or the equivalent score in selected other English language tests, to determine the length of Pre-sessional English course you require.

Use the table below to check the course length you're likely to require for your current English language ability and see whether the course is available on campus or online.

Your most recent IELTS score Pre-sessional English course length On campus or online
6.0 overall, with no component below 5.5 6 weeks On campus
5.5 overall, with no component below 5.5 10 weeks On campus and online options available
5.5 overall, with no more than one component below 5.5, and no component below 5.0 12 weeks On campus and online options available
5.5 overall, with no component below 4.5 20 weeks On campus
5.0 overall, with no component below 4.5 30 weeks On campus
4.5 overall, with no more than one component below 4.5, and no component below 4.0 40 weeks On campus

If you’ve completed an alternative English language test to IELTS, we may be able to use this to assess your English language ability and determine the Pre-sessional English course length you require.

Please see our guide to Pre-sessional English entry requirements for IELTS 6.5 overall, with no component below 5.5, for further details.


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Entry requirements: which qualifications do you need?

More about life in Liverpool

Discover more about the city and University.

Victoria Gallery & Museum

Why study at Liverpool?

Liverpool bursts with diversity and creativity which makes it ideal for you to undertake your postgraduate studies and access various opportunities for you and your family.

Postgraduate students walking through the campus.

Accommodation

To fully immerse yourself in the university experience living in halls will keep you close to campus where you can always meet new people. Find your home away from home.

Image of the outside of the Management School building

Fees and Finance

Discover what expenses are covered by the cost of your tuition fees and other finance-related information you may need regarding your studies at Liverpool.


Contact us

Have a question about this course or studying with us? Our dedicated enquiries team can help.

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Last updated 13 March 2025 / / Programme terms and conditions

Changes to Data Science and Artificial Intelligence MSc

See what updates we've made to this course since it was published. We document changes to information such as course content, entry requirements and how you'll be taught.

21 February 2025: Data Science and Artificial Intelligence MSc – intro edits

Amended course overview, intro and ‘who is this course for’ copy to make more clear that this is a conversion course.  SN: RITM0166893.

26 November 2024: Data Science and Artificial Intelligence MSc – modules

Updated the compulsory modules for the January start as new module codes have been created:

Sept intake module code COMP516 / Jan intake module code COMP616
Sept intake module code COMP517 / Jan intake module code COMP617
Sept intake module code COMP533 / Jan intake module code COMP633
Sept intake module code COMP534 / Jan intake module code COMP634

23 March 2023: New postgraduate taught course pages

New course pages launched.