Graduates of this programme will be prepared for the future of business by developing a strong understanding of how organisations operate in the era of digitalisation and digital transformation.
This programme combines data-driven decision-making, digital innovation and strategic business knowledge to prepare graduates for careers in analytics, artificial intelligence (AI)-enabled business transformation and consulting.
Explore both AI and business analytics as key areas that use data to support decision-making. Understand the differences between these areas, with business analytics using past and present data to understand business performance and AI using data to create systems that can learn and act independently.
Discover how organisations operate and how data and AI technologies can be used strategically to enhance business performance. This programme focuses on applying AI and analytics within organisations, enabling students to bridge the gap between technical innovation and business decision-making.
Teaching combines lectures, workshops and practical analytics activities using industry-relevant technologies and real organisational data. Students can apply to study abroad through our Global Opportunities offer or apply to spend a Year in Industry.
The University of Liverpool Management School holds accreditation from AACSB, AMBA and EQUIS. This makes it one of an elite group of institutions worldwide to hold the gold standard triple accreditation.
AACSB Accreditation Standards require a high quality teaching environment, a commitment to continuous improvement, and curricula responsive to the needs of businesses. This achievement means that the Management School meets specific standards of excellence. It also means it's committed to on-going improvement in delivering high quality education.
AMBA is the highest standard of achievement in postgraduate business education. MBA students and graduates, business schools and employers all recognise it as a gold standard. AMBA's rigorous criteria and assessment process ensure that only programmes that demonstrate the highest standards in teaching, learning and curriculum design; career development and employability; and student, alumni and employer interaction achieve accreditation.
The School is also accredited by EQUIS, which is the leading international system of quality assessment, improvement and accreditation of higher education institutions in management and business administration. Institutions that are accredited by EQUIS must demonstrate not only high general quality in all dimensions of their activities, but also a high degree of internationalisation and corporate connections.
Discover what you'll learn, what you'll study, and how you'll be taught and assessed.
Begin developing your employability skills from the moment you start your studies. Core modules will introduce you to the foundations of business and analytical concepts. Complete a mini project focused on AI, giving an early opportunity to engage in research, prototyping or application-based AI problem solving.
During your first year, you will develop your quantitative and programming skills and explore how organisations operate and make financial decisions. You will understand how AI can be used as a business tool and strengthen your digital literacy skills.
Programme details and modules listed are illustrative only and subject to change. This course has been updated for 2027 entry as part of a review of all our programmes. This review has considered refining study pathways, strengthening links with employers, integrating generative AI, developing students’ research skills, and enhancing alignment with our research strengths. Please note, as at all times, the University reserves the right to make reasonable changes, including to content, entry requirements, or fees, or to discontinue programmes. Applicants will be informed of any significant change.
Core modules explore key themes including business analytics and database management. You will learn how to manage, analyse and interpret organisational data with systems used in industry.
Become familiar with AI technology, how it is used and its implications for businesses. Understand how AI fits with global innovation ecosystems. Learn how to communicate analytics insights clearly.
Optional modules give you the opportunity to tailor your studies to your interests, while keeping a strong analytical focus.
Programme details and modules listed are illustrative only and subject to change. This course has been updated for 2027 entry as part of a review of all our programmes. This review has considered refining study pathways, strengthening links with employers, integrating generative AI, developing students’ research skills, and enhancing alignment with our research strengths. Please note, as at all times, the University reserves the right to make reasonable changes, including to content, entry requirements, or fees, or to discontinue programmes. Applicants will be informed of any significant change.
You will complete a year-long graduate-level placement, providing valuable work experience and an opportunity to further enhance the skills and attributes sought after by top employers.
| Compulsory modules | Credits |
|---|---|
| ULMS PLACEMENT YEAR (ULMS299) | 120 |
Programme details and modules listed are illustrative only and subject to change. This course has been updated for 2027 entry as part of a review of all our programmes. This review has considered refining study pathways, strengthening links with employers, integrating generative AI, developing students’ research skills, and enhancing alignment with our research strengths. Please note, as at all times, the University reserves the right to make reasonable changes, including to content, entry requirements, or fees, or to discontinue programmes. Applicants will be informed of any significant change.
Develop your strategic thinking, advanced analytics skills and responsible AI leadership. Core modules explore digital transformation, AI-enabled business models and the ethical, legal and societal implications of using AI in business.
In your final year, there is a one-year AI and Business Analytics Project that will get you to research, prototype or implement a solution to a complex organisational challenge related to AI and analytics.
Optional modules are designed to further develop your strategic thinking and leadership qualities, covering a range of topics including sustainable supply chain management, project management, marketing and digital analytics.
| Optional modules | Credits |
|---|---|
| SUSTAINABLE SUPPLY CHAIN MANAGEMENT (EBUS306) | 15 |
| BECOMING A LEADER (ULMS310) | 15 |
| PROJECT MANAGEMENT (EBUS308) | 15 |
| MARKETING & DIGITAL ANALYTICS (MKIB340) | 15 |
| GLOBAL STRATEGIC MANAGEMENT (MKIB351) | 15 |
Programme details and modules listed are illustrative only and subject to change. This course has been updated for 2027 entry as part of a review of all our programmes. This review has considered refining study pathways, strengthening links with employers, integrating generative AI, developing students’ research skills, and enhancing alignment with our research strengths. Please note, as at all times, the University reserves the right to make reasonable changes, including to content, entry requirements, or fees, or to discontinue programmes. Applicants will be informed of any significant change.
Teaching takes place through a combination of lectures, seminars, workshops, tutorials, and practical computer-based sessions. Students learn through both individual and group activities, including case studies, business simulations, data analysis exercises, and project work.
The programme is supported by digital learning resources and specialist software platforms. Teaching is informed by current industry practice and research-led expertise.
Students are expected to undertake independent study alongside scheduled teaching, including reading, research, data analysis, and preparation for assessments and project work.
Students are assessed through a variety of methods designed to develop both academic and professional skills. Assessment methods may include coursework, reports, presentations, group projects, case study analysis, practical data analysis tasks, portfolios, and examinations.
Assessments are designed to reflect real-world business and analytical challenges, enabling students to apply theoretical knowledge to practical organisational problems. The balance between coursework and examinations will vary between modules and years of study.
At Liverpool, we take a distinctive approach to education through the Liverpool Learning Framework. This means teaching that is engaging, inclusive and designed to help you succeed during your studies and beyond.
You’ll develop specialist subject knowledge alongside the skills employers value most, including:
Our curriculum is characterised by the three Liverpool Hallmarks:
We also embed key priorities across our curriculum, including AI literacy, employability, and sustainability, helping you prepare for the future and make a positive impact in the world.
We’re committed to creating a supportive and inclusive learning environment where every student can thrive.
Studying with us means you can tailor your degree to suit you. Here's what is available on this course.
Year in industry placements give you an in-depth workplace experience where you can develop your skills and apply your learning.
You don't need to decide now - you can choose to add a year in industry after you've begun your degree.
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.
Day-to-day teaching will take place on campus. At the Management School, students have access to careers education, opportunities to work as well as excellent library and IT facilities, just one minute’s walk away.
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From arrival to alumni, we’re with you all the way:
Graduates from this programme will be well prepared for careers across a wide range of industries and sectors. Potential career destinations include:
Graduates may work across sectors including finance, technology, consulting, retail, healthcare, logistics, government, and digital services.
The programme also provides a strong foundation for postgraduate study and future careers in AI, analytics, and digital innovation.