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Data Science and Artificial Intelligence with a Year in Industry

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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

  • Sign into our online portal, Apply Yourself, and start your application
  • Submit your application
  • We'll email you to let you know we're processing your application
  • Track the progress of your application using the Postgraduate Application Tracker (we'll send you a link to the tracker)
  • We'll email you when a decision has been made
  • If you've been made an offer, you can then accept or decline it using the Postgraduate Application Tracker.

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Master of Science

A Master of Science (MSc) is a master’s degree awarded for a postgraduate programme in the sciences.

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Course overview

Discover how tech companies gather and use data and explore both the databases that power our daily lives and the data languages underpinning them on this MSc. You’ll receive a thorough grounding in mathematics and statistics, data mining, artificial intelligence and the fundamentals of programming, then go on to complete an extended industrial placement in a real-world environment.


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 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 year one 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.

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.

In year two, you’ll undertake an industrial project in a real-world environment as part of an extended placement opportunity.

Who is this course for?

This MSc is suitable if your first degree was in a subject not related to computer science and you are seeking career opportunities in data science and artificial intelligence.

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.


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

Course content

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

Year one

Compulsory modules

Research Methods in Computer Science (COMP516)

Credits: 15 / Semester: semester 1

In this module the students will learn and practise all the necessary skills needed to conduct independent research in computer science, including literature search, project management, presentation techniques, peer reviewing, writing skills and critical review of texts. They will also learn about the professional, legal, social and ethical framework of the IT industry. The module covers, e.g., planning and scheduling projects and drawing Gantt charts. Students shall also conduct a research project (including research, paper, literature review, or MSc project proposal, …) and use tools like EndNote and Zotero bibliography manager within MS Word and Latex.

Programming Fundamentals (COMP517)

Credits: 15 / Semester: semester 1

The aim of COMP517 is to help you to learn how to design and create software. Central to this will be an understanding of and practical experience with a modern programming language, but you will also be made aware of the importance of using sound software engineering techniques to develop high quality programs. As with many endeavours (swimming, chess-playing, story-writing) programming is a skill that must be learned and improved upon by constant practice. In this module, therefore, the emphasis will be on self-study. Although lectures will be used to introduce the various topics, you will be expected to spend the majority of your time in reading the corresponding textbook chapters, attempting numerous exercises, and completing the specified assignments.

Maths and Statistics for AI and Data Science (COMP533)

Credits: 15 / Semester: semester 1

Computer Science in general, and data Science in particular, has its roots in Mathematics. This module is designed to bring you up to speed with the necessary mathematical and statistical underpinning required to study Data Science and AI.

Applied Artificial Intelligence (COMP534)

Credits: 15 / Semester: semester 2

This module gives an introduction to key areas of Artificial Intelligence (AI), including Machine Learning, Deep Learning, Natural Language Processing (NLP) and Computer Vision.
It discusses fundamental problems in these areas and covers common methods to solve them.
Students will develop the practical skills necessary to build AI applications using data from different domains.

Optional modules

Database and Information Systems (COMP518)

Credits: 15 / Semester: semester 1

This module focuses on how databases are used in modern information systems. They are at the heart of almost all systems, such as supermarket checkouts, online banking, home rentals, and much more. One of the most successful data definition and manipulation languages is SQL, which will be covered in detail. The module will also introduce some of the fundamental concepts in computer science, as well as the mathematical underpinnings of relational databases and the techniques used to support concurrency and reliability in large information systems.

Big data and society B: foundations, politics, and policy (COMM752)

Credits: 15 / Semester: semester 1

This module will be of particular interest to students interested in big data and how it is collected and used in modern society; in the politics and policy questions around social media; and in the interactions between media, platforms, and citizens. It will introduce students to the study of online media and platforms, with a particular focus on ‘big’ social trace data. As well as developing their understanding of how Internet-based media systems work, students will learn about the strengths and weaknesses of using big data for social science research, and engage with key online political communication policy questions.

Web Programming (COMP519)

Credits: 15 / Semester: semester 2

Masters level introductory web programming module covering such topics as HTML, Cascading Style Sheets, CGI programming, and PHP/SQL programming.

Artificial Intelligence and Communication B (COMM718)

Credits: 15 / Semester: semester 2

This module will provide students with skills to understand, analyse and master the role played by Artificial Intelligence in Communication. It will introduce students to core notions to identify what components of our daily communication practices are affected by AI, how the reshaping of the communication processes happens through different technologies and how we can check their evolutions being aware of their potential risks and opportunities. At the end of the module students will be able to answer questions such as: who are we communicating with when we write online? How are (chat)bots and conversational agents changing our interactions? Why social and new digital media are affecting news consumption habits? The module will be taught following "active learning" methodologies.

Machine Learning and BioInspired Optimisation (COMP532)

Credits: 15 / Semester: semester 2

This module teaches you about bio-inspired algorithms for optimisation and machine learning. The algorithms are based on reinforcement learning, DNA computing, brain or neural network models, immune systems, the evolutionary version of game theory, and social insect swarm behaviour such as ant colonies and bee colonies. These techniques are extremely useful for searching very large solution spaces (optimisation) and they can be used to design agents or robots that have to interact and operate in dynamic unknown environments (e.g. a Mars rover, a swarm of robots or network of satellites). The idea of learning optimal behaviour, rather than designing, algorithms and controllers is especially appealing in AI.  ​

Computational Intelligence (COMP575)

Credits: 15 / Semester: semester 2

​Biologically inspired optimisation and introduction to neural networks for artificial intelligence.

Data Mining and Visualisation (COMP527)

Credits: 15 / Semester: semester 2

The module covers a range of topics and techniques for analyzing data. Students will learn about different types of data mining problems, including classification, clustering, association pattern mining, and social network analysis, as well as algorithms to solve them.

Students will program selected data mining algorithms from scratch using Python. This hands-on approach will allow them to gain a deeper understanding of how the algorithms work and how they can be applied to real-world datasets. They will experiment with different datasets to see how the algorithms perform and learn how to interpret the results.

Programme details and modules listed are illustrative only and subject to change.

Our curriculum

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.

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

If you are interested in studying this programme without the year in industry placement, it is available as a standard MSc. Completing this programme without the year in industry usually takes one year when completing full-time.

View Data Science and Artificial Intelligence 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.

Your experience

The Department of Computer Science is housed in a grade II listed building which has been extensively refurbished for 21st century needs and challenges and provides state-of-the art equipment and high-speed communication links.

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.

What students say...

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.

, MSc Data Science and Artificial Intelligence 2021

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.

Career planning

Three career coaches standing outside the Careers Studio

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

Two graduates in postgraduate robes.

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

Postgraduate students hold a discussion while sat round a table in in the Liverpool Guild of Students.

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.

Your future

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.

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

Graduate Outcomes, 2018-19.

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 £12,400
Year in industry fee £2,500
International fees
Full-time place, per year £28,800
Year in industry fee £5,800
Fees stated are for the 2024-25 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.

Additional study 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 additional study costs.

Scholarships and bursaries

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

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

Postgraduate Global Advancement Scholarship

  • International students

If you’re a new international student starting this course with us from September 2024, you could be eligible to receive a discount of up to £5,000 off your tuition fees.

This includes £2,500 if you have a first-class degree, or equivalent qualification, and £2,500 if you’re from a Commonwealth country.

Graduate Loyalty Advancement Scholarship

  • Home and international students
  • University of Liverpool current students and alumni only

Completed your undergraduate degree, or studied as an undergraduate exchange student, at the University of Liverpool?

You could get a loyalty discount of up to £2,500 off the tuition fees for this course from September 2024 entry.

  • £1,500 tuition fee discount for eligible UK University of Liverpool graduates
  • £2,500 tuition fee discount for eligible international University of Liverpool graduates.

ANID Chile Scholarship

  • International students
  • Chile

Postgraduate taught and research students from Chile are eligible for this scholarship.

Chevening Scholarships

  • International students

The University, in partnership with Chevening, is delighted to offer this generous scholarship to students who are studying a master’s programme and who have future leadership potential. Please note that there is a fee cap applied to MBA programmes that requires applicants to cover any additional tuition costs over £18,000. You will still receive all additional allowances.


  • International students
  • Mexico

The University of Liverpool has an agreement with CONACYT to support postgraduate taught and research students from Mexico.


  • International students
  • Mexico

20% reduction in tuition fees for postgraduate taught and research programmes. Must be Mexico national.

Fulbright Scholarship

  • International students
  • University of Liverpool alumni only
  • United States

One scholarship is available for a master’s student from the US and another is available for a postgraduate research student to undertake a three to six month research stay from the US

FUNED Awards

  • International students
  • Mexico

Up to ten awards are available for Masters or Research students from Mexico in receipt of FUNED loans. The award gives students a 20% reduction in fees for all applications received.

Graduate Association Hong Kong & Tung Postgraduate Scholarships

  • International students
  • China
  • Hong Kong

The University is able to offer competitive scholarships for both postgraduate taught master’s and research programmes.

HRM Princess Sirindhorn University of Liverpool Scholarship (Thailand)

  • International students
  • Thailand

The University is able to offer one award to a new postgraduate taught master’s student from Thailand.

The scholarship is open to all subjects offered as a one-year taught master’s programme.  However, priority will be given to those students who wish to study in a subject area associated with HRH Princess Sirindhorn such as science, IT, medicine, the arts, geography, history and languages.

JuventudEsGto Scholarship

  • International students
  • Mexico

Residents of State of Guanajuato, Mexico, wishing to study at postgraduate taught and research levels are eligible for this scholarship.

Marshall Scholarship

  • International students
  • University of Liverpool alumni only
  • United States

One scholarship is available for a master’s student from the US to cover the cost of tuition fees. Another, to the value of £20,000, is available for Doctoral study visit:

Turkish Ministry of Education Scholarship

  • International students
  • Turkey

Postgraduate taught and research students from Turkey are eligible for this scholarship, see the Turkish Ministry of Education website for more information.

University of Liverpool Humanitarian Scholarships for Master’s Programmes

  • International students

The three awards available cover full tuition fees, visas and support for accommodation and living expenses.

This scholarship is open to support people who have recognised status as either refugees or are under humanitarian protection under the 1951 Refugee Convention. This status must be held outside of the UK.

The scholarship is open for all postgraduate-taught programmes, excluding medicine, dentistry, veterinary and nursing.

University of Liverpool International College Excellence Scholarship

  • International students

The University of Liverpool will award five University of Liverpool International College students, who achieve the highest academic excellence (minimum 75%) in their UoLIC Pre-Master’s programme, the prestigious UoLIC Excellence scholarship.

University of Liverpool International College Impact Progression Scholarships

  • International students

University of Liverpool International College recipients of the Kaplan awards will receive the £3,000 Progression Impact Scholarship, deducted from first-year tuition fees, on successful progression to their UoL degree programme.

To be eligible for our Impact Progression Scholarships, students must apply for one of the Kaplan Impact Scholarships demonstrating their commitment to making an impact across issues of importance to the University and Kaplan. Themes include:

Women in STEM
Career Focus (Employability)

Vice-Chancellor’s International Attainment Scholarship for China

  • International students
  • China

Details are:
1 (one) Full scholarship
2 (two) £10,000 scholarships
5 (five) £5,000 scholarships
10 (ten) £1,000 scholarships
All scholarships will be awarded after the formal registration at the University and will take the form of a fee waiver.

Please note: This scholarship cannot be combined with any other scholarships or bursaries provided by the University.

Entry requirements

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

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Your qualification Requirements

About our typical entry requirements

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.

International qualifications

If you hold a bachelor’s degree or equivalent, but don’t meet our entry requirements, you could be eligible for a Pre-Master’s course. This is offered on campus at the University of Liverpool International College, in partnership with Kaplan International Pathways. It’s a specialist preparation course for postgraduate study, and when you pass the Pre-Master’s at the required level with good attendance, you’re guaranteed entry to a University of Liverpool master’s degree.

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.

English language qualification Requirements
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
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


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.

Find out the length of Pre-Sessional English course you may require for this degree.

Pre-sessional English

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, with no component below 5.5, for further details.

About our entry requirements

Our entry requirements may change from time to time both according to national application trends and the availability of places at Liverpool for particular courses. We review our requirements before the start of the new application cycle each year and publish any changes on our website so that applicants are aware of our typical entry requirements before they submit their application.

We believe in treating applicants as individuals, and in making offers that are appropriate to their personal circumstances and background. Therefore the offer any individual applicant receives may differ slightly from the typical offer quoted on the website.

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Why 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.

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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.

Changes to Data Science and Artificial Intelligence with a Year in Industry 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.

23 March 2023: New postgraduate taught course pages

New course pages launched.