Course details
- Full-time: 12 months
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The programme provides a sound strategic understanding of the opportunities and challenges presented by artificial intelligence (AI) and other emerging technologies to meet the growing demand from business and the public sector for individuals with the latest AI and digital technology knowledge and skills.
Through a theoretical and practical study of the factors necessary to use technology effectively and responsibly, you will discover how to benefit today’s globally-connected organisations, create new market opportunities, automate processes, harness the potential of data and transform relationships with customers and suppliers.
You will develop a profound understanding of the opportunities, challenges and latest thinking in AI and a wide array of digital solutions such as robotics, enterprise resource planning, the Internet of Things (IoT), data science, 3D printing, machine learning, intelligent agents and blockchain using software such as ChatGPT Pro, RStudio, Tableau, Qlik, SAP and Witness.
AI for Digital Business MSc is delivered by the University of Liverpool Management School’s Operations and Supply Chain Management group, benefiting from the group’s world-class research, and business collaborations in this sector.
The Management School has ringfenced a number of Management School Excellence Scholarships for our AI for Digital Business MSc course. Eligibility and more information can be found on the School’s scholarship pages. In addition, international students could be eligible to receive a discount of up to £5,000 off your tuition fees with the University of Liverpool Postgraduate Global Advancement Scholarship, find out more on the Postgraduate Global Advancement Scholarship webpages.
This course is open to graduates from any discipline, or those with extensive professional experience, seeking to develop their understanding of the opportunities and challenges presented by artificial intelligence and new digital technologies both as an engaging area of study and to improve their employment prospects.
The University of Liverpool Management School is one of an elite group of institutions worldwide to hold the gold standard ‘triple-crown’ accreditation from AACSB, AMBA and EQUIS.
Discover what you'll learn, what you'll study, and how you'll be taught and assessed.
The 12-month programme consists of five compulsory modules and three optional modules followed by the project over the summer period on completion of Semester two (a choice of either EBUS635 or EBUS621).
This module will give the student a critical awareness of the management approaches and technologies used in the development and delivery of digital business and AI solutions. This will include types of digital businesses and their innovation, management approaches, data related technologies, emerging AI and machine learning technologies for digital businesses.
In this module, students will examine the processes associated with identifying, implementing and managing innovative AI applications within organisations, gaining a profound understanding of how to align these initiatives with overarching business objectives and strategies. Furthermore, participants will explore the fundamentals of generative AI and its versatile applications, equipping them with cutting-edge knowledge in this emerging field. The module also exposes students to business model innovations, a necessity in today’s rapidly changing markets, and provides them with the analytical skills to dissect real-world AI examples from a myriad of industries, facilitating a well-rounded perspective on the dynamic landscape of artificial intelligence, with hands-on projects and case studies that synthesise the overall learning experience.
The module aims to provide unique exposure to current business opportunities, challenges and developments associated with running or expanding digital business enterprises. It introduces students to the key aspects of big data management and examines how big data can drive decisions and actions, both operational and strategic.
This module will give students an understanding of the role of modelling and simulation in the development and improvement of business processes in a commercial environment. Important elements include analytical techniques of systems, statistical aspects of modelling and system dynamics. Extensive use will be made of a variety of commercially available modelling and simulation tools such as Matlab and Witness.
Project management has cemented its position as a key management paradigm, enabling organisations to efficiently achieve their goals in a constantly changing business environment complicated by risks, uncertainties and competitor pressures. The global economy implies yet another level of complexity inherent to the management of large-scale geographically distributed project teams. This module introduces cutting-edge principles and best practices of project management and discusses how they relate to the competitive product development. This module provides students with the necessary tools, techniques, and analytical skills required to strategically manage new and existing projects within the current uncertain business environment. The module seeks to provide participants with a broad understanding of the key project management elements such as: project scheduling, resource budgeting, quality assurance, and risk management / mitigation, all of which provide measurement of institutional project performance. It addresses the principal techniques used to identify, assess, measure, control and manage projects and their associated risks.
The 12-month programme consists of five compulsory modules and three optional modules followed by the project over the summer period on completion of Semester two (a choice of either EBUS635 or EBUS621).
Two new compulsory modules are being developed for this programme, AI Applications and Innovations for semester one and AI Ethics and Regulations for semester two.
The aim of this module is to give the student a comprehensive understanding of the processes involved in developing a digital business strategy, leveraging the transformative capabilities of artificial intelligence (AI) technologies. Important elements include an examination of the approaches to strategy formulation, an evaluation of the emergent digital business models, business process re-design for digital business, digital business applications and technologies, and managing and planning for digital business with a particular emphasis on harnessing AI technologies to optimise operational efficiency and drive strategic agility. Extensive use will be made of case study material to illustrate real-world applications of digital strategies enhanced by AI.
This module will focus on introducing strategies, approaches and technologies of enterprise systems, e.g. ERP systems, and the actual ERP system implementation with use of SAP S4/HANA.
The module provides students with knowledge of enterprise system architecture and technologies in general, and roles and functions of enterprise systems and business information management for digital business and supply chain management in particular. The module will introduce the development history, functional characteristics and real cases of enterprise information systems in a digital business and supply chain environment, e.g. applications based on SAP, Oracle, etc.
The module also helps students to understand how enterprise systems and business information management functions are integrated into real-time supply chain management and business networks from the experience of SAP S4/HANA implementation. Through this learning, students will get the chance to understand how data is managed on SAP S4/HANA, understand how business process is integrated, automated and optimised on this system, and how machine learning and AI-based tools are embedded in ERP systems.
This module provides comprehensive coverage of the ethical considerations related to AI and emerging technologies, equipping students with the tools to navigate complex moral dilemmas. It aims to foster a thorough understanding of the ethical, legal, and social implications of AI deployment in business and technology. Students will actively engage in the development of frameworks that promote responsible and ethical AI and technology use, ensuring that they are well-prepared to address the pressing ethical and sustainability challenges of our tech-centric world.
This module will introduce students to techniques for big data analytics and their applications for very large datasets in different organisations and settings. In particular, it will familiarise students with existing platforms and software tools used for big data analytics and develops core skills and expertise needed by data scientists for processing and visualising big data. The module will also establish the importance of big data science for business intelligence and describes major opportunities and limitations for running or expanding digital business enterprises.
Delivering complex projects is typically a team effort. Leading and managing a project team can pose a formidable challenge – with a high level of personal responsibility for outcomes. This module examines strategies and approaches. What is an effective leader? How can leaders best motivate other team members and manage across cultural differences? The module also examines how to handle conflict in teams, negotiations and some of the potential pitfalls of group decision-making.
This module will support students to develop complementary sets of skills for strategic analysis and assessment of businesses through both teamwork and individual action, conducting independent theoretical and practical research to address set questions in areas related to operations, technology, supply chain and project management within an academic framework, and for developing a strong conviction of contemporary management challenges in business networks. The module will offer students the opportunity to engage with a range of key topics and activities related to strategic thinking, business analysis, benchmarking and teamwork, where they will handle an engaging business project in a simulated environment as well as process data from real world cases. The module will provide learning of the process of analysis and assessment of businesses from both theoretical and practical aspects, and gives the student the opportunity to exercise efficient project management.
Comprising two elements: research methods introduces students to the principles and practices of researching and writing dissertations and results in an agreed outline plan of work for the dissertation and a completed literature review. The dissertation, itself, will be undertaken over the summer period and will involve the implementation of the research work plan and the completion of a 15,000 word dissertation.
Modules are taught using the latest active learning techniques including business simulations, real-world case studies, AI software (e.g. Hugging Face, ChatGPT Pro), coding in higher-level programming languages (e.g. RStudio), business analytics software (e.g. Tableau, Qlik, SAP), simulation modelling software (e.g. Witness) interactive participation software, lecture capture, tutorials and project work.
The principal forms of teaching are lectures and seminars or computer labs, with most sessions normally supported by additional resources such as hand-outs and online materials accessible via the virtual learning environment (Canvas).
In addition, a concerted effort has been made to include a significant amount of case study material and practical work in order to demonstrate the application of principles and theories delivered within the main lecture programme. The practical elements of the programme take the form of both team-based and individual or self-directed exercises.
Following semester two you will complete either the Business Simulation and Analysis or MSc Project with the support of an academic supervisor.
Teaching time will account for an average of 10 hours per week and you should anticipate an additional 20 hours of self-directed study and group work.
In semesters one and two, you will take modules totalling 120 credits. The Business Simulation or Project option completed during the summer period is worth 60 credits and students will be supported by their academic supervisor.
Students are required to complete 180 credits to achieve a full MSc.
Subject to meeting specific criteria outlined by the University, students will graduate with a Pass, Merit or Distinction.
Assessment tasks are varied and some may be designed specifically to meet the learning outcomes of a particular programme of study, but students can expect to be assessed via coursework, essay, group work, presentations, case studies, negotiation exercises, reports and examinations. The weighting of individual components will vary from one module to another. All assessment information is included within the module specification.
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.
This programme is delivered by the triple-accredited University of Liverpool Management School. The School has a thriving international master’s community with a comprehensive, interdisciplinary programme of social and extra-curricular events and dedicated careers and employability support.
The University of Liverpool’s triple-accredited Management School has launched an exciting new master’s programme to build on our expertise in Artificial Intelligence in the business environment. Launching its first cohort in September 2024, the MSc AI for Digital Business will equip students from all backgrounds with the skills, networks and experience they need to thrive in modern businesses.
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Effective technology management is essential to competitive performance so AI and digital technology knowledge and skills are highly sought after by employers. You will receive a thorough exposure to state-of-the-art applications and development opportunities alongside a grounding in regulatory directives and ethical practices in AI and emerging digital technologies and graduate equipped with the knowledge and skills to be a future organisational leader.
From the moment you start your master’s programme, you’ll have access to a specialist, in-house careers team and one-to-one careers guidance, workshops, seminars and employability initiatives as such as our wide-ranging and rewarding Enhancement Week events and benefit from the School’s close ties with local, national and international organisations.
As well as developing a range of subject-specific and technical skills in AI and emerging technologies, students will also gain more general skills to enhance their employability. These include:
Graduates from this programme will be prepared for a wide range of opportunities in industries/sectors such as healthcare, manufacturing, retail and e-commerce, financial services, logistics and transportation, IT, food, travel, and government and the public sector.
Your tuition fees, funding your studies, and other costs to consider.
UK fees (applies to Channel Islands, Isle of Man and Republic of Ireland) | |
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Full-time place, per year | £14,000 |
International fees | |
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Full-time place, per year | £30,000 |
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 fees and funding.
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.
We offer a range of scholarships and bursaries that could help pay your tuition and living expenses.
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The qualifications and exam results you'll need to apply for this course.
We've set the country or region your qualifications are from as United Kingdom. Change it here
Your qualification | Requirements |
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Postgraduate entry requirements |
We accept a 2:2 honours degree from a UK university, or an equivalent academic qualification from a similar non-UK institution. This degree can be in any subject discipline. Non-graduates with very extensive professional experience and/or other prior qualifications may also be considered. |
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. |
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 |
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IELTS | 6.5 overall, with no component below 6.0 |
TOEFL iBT | 88 overall, with minimum scores of listening 19, writing 19, reading 19 and speaking 20. TOEFL Home Edition not accepted. |
Duolingo English Test | 120 overall, with no component below 105 |
Pearson PTE Academic | 61 overall, with no component below 59 |
LanguageCert Academic | 70 overall, with no skill below 65 |
PSI Skills for English | B2 Pass with Merit in all bands |
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.
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Last updated 11 November 2024 / / Programme terms and conditions