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Undergraduate course

Artificial Intelligence in Business Management BSc (Hons)

Learn not only what Artificial Intelligence (AI) can do, but if it is appropriate, reliable, responsible and valuable to an organisation.

Student at computer

AI is transforming how businesses operate and society behaves. This means that knowledge of how AI can benefit organisations is highly valued by employers across sectors. Our course brings together the scientific and technical foundations of AI with the knowledge and skills needed to understand how organisations operate, make decisions, and respond to technological change. You will learn through practical sessions that focus on real industry tasks and business challenges.

  • Subject to final approval

91% Computer Science students responded with a 91% positivity score for how well teaching staff supported their learning. (National Student Survey 2026)

York campus

  • Duration – 3 years full time, 4 years full time with a placement year
  • Start date – September 2027, September 2028
  • School – York Business School

Minimum entry requirements

104 UCAS Tariff points

3 GCSEs at grade C/4 (or equivalent) including English Language and Maths.

Tuition fees

UK 2027 entry £10,050 per year full time

International 2027 entry £12,300 per year full time

Course overview

Develop skills in programming, data analysis and the practical application of AI, alongside an understanding of business management. You will learn about and gain experience with key elements of AI, including how to:

  • Interpret data.
  • Evaluate AI-generated results.
  • Assess the suitability of different approaches to business problems.
  • Communicate evidence-based recommendations.

In addition to this, you will consider the ethical, social and organisational implications of AI. Evaluate questions of privacy, fairness, accountability and the changing nature of work. Optional modules will allow you to explore your interests, including Deep Learning and Agentic AI Applications.

This course is distinctive in bringing together technical AI development and business management within a single degree.  You will learn about strategy, entrepreneurship, customer behaviour and responsible business practice. You will graduate with technical understanding, business awareness and responsible decision-making skills. This will enable you to apply and manage AI-enabled approaches to real organisational challenges.

This course emphasises applying your knowledge to real industry challenges through practical exercises, case studies and a specialised module dedicated to consultancy work.  Develop your teamwork, communication and problem solving skills while gaining valuable experience. There will also be opportunities to hear from guest speakers and engage with real businesses.  

Course structure

Year 1

Our academic year is split into 2 semesters.

In your first year, you will study:

  • 3 compulsory modules in semester 1
  • 3 compulsory modules in semester 2

You can find out which modules are available in each semester on the Course Specifications.

Modules

Credits: 20

Compulsory module

On this module you will explore the core concepts and models of application development. Through practical exploration and lectures, you will further your problem solving and programming skills. Through this you will develop your abilities in areas such as:

  • Coding
  • Software development and testing tools
  • Problem solving
  • Teamwork
  • Time management

Credits: 20

Compulsory module

There is an ongoing debate regarding what characterises a ‘responsible business’, covering everything from the requirement to maximise shareholder value, to considering everyone who is impacted by the business, and everything in between. In response to this ongoing debate, this module questions and unpicks how businesses balance the need for economic viability with a commitment to behaving responsibly. You will engage with theoretical and practical perspectives on issues such as:

  • The provision of environmentally safe, ethical and equal working conditions
  • Sustainable procurement
  • The role of philanthropy

This module will challenge you to apply your learning to complex debates around contemporary business and societal issues.

Credits: 20

Compulsory module

Explore the exciting and increasingly complex work of entrepreneurship and intrapreneurship. You will gain an understanding of how a business interacts with its environment. On this module you will investigate modern discussions about entrepreneurs and entrepreneurship. You will investigate theories relating to the business environment. From these, you will develop your ability to analyse and address different managerial issues.

Credits: 20

Compulsory module

This module introduces artificial intelligence as a problem-solving discipline and establishes the conceptual, computational and responsible-practice foundations needed for advanced modules in Machine Learning, Deep Learning and Agentic AI Applications.  Gain an understanding of the core ideas about intelligent agents, prepare small datasets and use suitable measures to interpret system or model performance. You will also implement and test simple artificial intelligence techniques in Python for defined problems. 

Credits: 20

Compulsory module

From generative AI and predictive analytics, to autonomous systems and intelligent decision-making, AI is reshaping business operations, consumer experiences, and workforce dynamics. Understanding these developments is essential for future business leaders navigating an increasingly AI-driven world. On this module you will learn about AI models, their applications, and their implications for business management, as well as exploring AI’s potential to enhance efficiency, decision-making, and innovation. As well as developing your technical understanding, we will also confront ethical considerations, including bias in AI, intellectual property concerns, and transparency challenges. 

Credits: 20

Compulsory module

Understanding consumer behaviour is essential to effective business decision-making. It enables organisations to recognise the psychological, social and cultural factors that influence consumer needs, preferences and purchasing decisions. Now the increasing adoption of artificial intelligence (AI) is transforming how consumers interact with businesses, access information, evaluate alternatives and make purchasing decisions. Develop the ability to understand and apply key consumer behaviour concepts within contemporary business environments. You will examine how technologies such as personalised recommendations, predictive analytics and generative AI are reshaping consumer experiences and decision-making processes. 

Year 2

In your second year, if you are a full time student, you will study:

  • 3 compulsory modules in semester 1
  • 3 compulsory modules in semester 2

If you are a part time student, the modules above will be split over 2 years.

You can find out which modules are available in each semester on the Course Specifications.

Modules

Credits: 20

Compulsory module

Learn how to understand, apply and evaluate artificial intelligence techniques to address practical business problems. Through practical exercises using Python and appropriate AI libraries, you will gain experience in preparing datasets, selecting algorithms, developing models and evaluating their performance. Business applications may include customer segmentation, sales forecasting, fraud detection, demand prediction and sentiment analysis. 

Credits: 20

Compulsory module

Since the public release of ChatGPT in 2022, the world and business are being transformed by AI. The technology has great potential to both automate tasks and workflows, and augment human labour. However as with the introduction of any disruptive new technology, implementing and integrating AI is a fraught process not only technologically but also strategically. Gain an understanding of the strategic value of AI, how it can contribute to innovation and business model transformation and where and why AI should be deployed within a business. Explore the challenges of implementing AI and the importance of responsible and ethical AI, including sustainability and governance. You will also review how AI is being used in real businesses. 

Credits: 20

Compulsory module

This module will build your understanding of the financial environment. You will learn to work with key statements in published financial accounts, as well as how to analyse and interpret the information presented there. By the end o the module you will be able to evaluate information presented in published financial statements, demonstrate a critical understanding of the role of budgets and performance reports in planning and control, and select and use appropriate techniques for both short-term and long-term decision making.

Credits: 20

Compulsory module

Understanding research and conducting it is a life skill, as well as being valuable to the functioning of organisations. This module will give you the foundational skills to evaluate, design and conduct research. You will learn to:

  • Formulate and scrutinise research questions
  • Design and propose research methodology
  • Collect qualitative and quantitative data
  • Analyse data, reach conclusions using it, and report it

These skills will be transferable in all fields of business, including finance, marketing, economics, tourism and events. You will also learn IT skills for survey design and statistical data analysis. For this module’s assessments you will learn to create video presentations, to work conduct and report research collaboratively, and to propose an original piece of research.

Credits: 20

Compulsory module

In today’s data-driven business landscape, the ability to analyse, interpret, and communicate insights effectively is a critical skill. Organisations rely on Business Intelligence (BI) tools and data visualisation techniques to transform raw data into meaningful narratives that drive decision-making. This module will give you the practical skills d to harness the power of BI, using tools such as Power BI to create dynamic, interactive dashboards and reports. By integrating visualisation principles with data storytelling techniques, you will learn how to present complex data in a clear and compelling way. 

Credits: 20

Compulsory module

This module will provide you with hands-on, business problem-solving experience, by working on live briefs. In most cases this would include visiting the organisation, communicating your progress with clients, conducting primary or secondary research, and making recommendations in form of report and presentation. This module goes beyond theory, equipping you with authentic workplace skills and a deeper understanding of your own strengths and abilities. All of our projects are designed to develops your skills, while also helping local organisations find solutions to real problems that matters to them. 

Year 3

In your third year, if you are a full time student, you will study:

  • A dissertation module across semesters 1 and 2
  • 2 compulsory modules in semester 1
  • 2 compulsory modules in semester 2

If you are a part time student, the modules above will be split over 2 years.

You can find out which modules are available in each semester on the Course Specifications.

Modules

Credits: 40

Compulsory module

On this module you will develop a substantial piece of specialist work, with the support of a designated research investigation tutor. This could be in the form of either:

  • A traditional Dissertation
  • A Business Creation Feasibility Project

You will develop research objectives, formulate appropriate methodologies, and apply problem solving and analytical skills in a business context of your choice. You will also need to collect, analyse, interpret, and evaluate the data generated by your research. At the end of the module, you will have the opportunity to showcase your research at the York Business School Undergraduate Research Symposium.

Credits: 20

Compulsory module

Organisations must balance long-term operational efficiency with the successful execution of short-term, goal-oriented projects. This module integrates these two perspectives, equipping you with advanced theoretical and practical knowledge of project and operations management. You will critically engage with best practices established by professional bodies such as the Project Management Institute (PMI), exploring key topics including project methodologies, stakeholder management, governance, and risk management. Through case studies and applied learning, will you will learn to manage complex business processes and deliver strategic project outcomes. 

Credits: 20

Optional module

Advance from classical machine learning to representation learning with neural networks.  Implement, train, tune and evaluate deep-learning models using an appropriate framework. You will design reproducible experiments and evaluate performance, robustness, explainability and computational demand. 

Credits: 20

Optional module

Organisations have an obligation to protect privacy, and must consider important legal, ethical, and reputational concerns when working with personal or sensitive data. On this module you will learn about critical privacy concepts, engineering privacy requirements, and controls used in products and services.

Credits: 20

Optional module

The requirement for effective strategic management is increasing due to the highly complex environments in which most private and public sector organisations currently exist. The study of organisational strategy includes theory and practice from a broad range of business sectors. You will investigate concepts introduced in earlier modules and you will develop your critical understanding of these topics and their relationships.  

Credits: 20

Compulsory module

This module will give you a critical understanding of business ethics and corporate social responsibility. This will help you to apply these concepts to major stakeholders in different corporations. You will study different concepts and principles so you can explore issues associated with the ethical challenges facing organisations today. 

Credits: 20

Optional module

This module brings together topics you have already covered, including:

  • Advanced programming
  • Cloud platforms
  • Machine learning
  • Deep learning
  • Databases
  • Research practice
  • Security
  • Professional judgement

Design an agentic application that uses tools and external information while retaining meaningful human control. The focus is not only capability, but also rigorous evaluation, secure integration, operational monitoring, governance and evidence-based decisions about whether an agentic approach is appropriate.

Credits: 20

Optional module

Organisations have an obligation to protect privacy, and must consider important legal, ethical, and reputational concerns when working with personal or sensitive data. On this module you will learn about critical privacy concepts, engineering privacy requirements, and controls used in products and services.

Teaching and assessment

Teaching and learning

You will learn through various types of sessions designed to help you further your knowledge, enhance your skills and gain valuable experience. These sessions could include:

  • Lectures
  • Seminars
  • Practical workshops

Work related learning is a crucial part of our courses to help you figure out the career path you would like to pursue and gain the knowledge, experience and skills to get there. This will include working on industry tasks and proposing solutions to genuine problems faced by real businesses.

Assessment

Our assessment methods vary to reflect real industry tasks and evaluate your knowledge, skills and experience. Most assessments will be coursework based. Assessments types could include:

  • Portfolio work
  • Reports
  • Presentations
  • Project work

You will receive feedback throughout to help you improve and support in preparing for assessments is available.

Career outcomes

Your future with a degree in Artificial Intelligence in Business Management

Studying Artificial Intelligence in Business means you will graduate with knowledge, skills and experience across computer science and business. AI is an area that employers are increasingly looking for applicants to have experience in. You will also develop a range of transferable skills to help you in other sectors. There is also the option to continue your education further with postgraduate study.

Typical jobs in this field include:

  • AI Product Manager
  • AI Automation Analyst
  • AI Business Analyst
  • AI Ethics and Governance Officer
  • AI Consultant

Whatever your ambitions, we can help you get there.

Our careers service, LaunchPad provides career support tailored to your ambitions. Through this service you can access:

  • Employer events
  • LinkedIn, CV and cover letter sessions
  • Workshops on application writing and interview skills
  • Work experience and volunteering opportunities
  • Personalised career advice

This support doesn't end when you graduate. You can access our expert career advice for the rest of your life. We will help you gain experience and confidence to succeed. It's your career, your way.

Entry requirements

Qualifications

Minimum entry requirements

    104 UCAS Tariff points

    3 GCSEs at grade C/4 (or equivalent) including English Language and Maths.

Calculate your UCAS Tariff points

International students

If you are an international student you will need to show that your qualifications match our entry requirements.

Information about international qualifications and entry requirements can be found on our International pages.

If English is not your first language you will need to show that you have English Language competence at IELTS level 6.0 (with no skill below 5.5) or equivalent.

 

Mature Learners Entry Scheme

If you have been out of education for 3 years or more and have a grade C GCSE in English Language or equivalent, you are eligible for our entry scheme for mature learners. It's a scheme that recognises non-traditional entry qualifications and experience for entry onto this course. Information on how to apply can be found on our dedicated page.

Mature entry offer scheme

Terms and conditions

Our terms and conditions, policies and procedures contain important information about studying at York St John University. You can read them on our Admissions page.

Fees and funding

To study for an undergraduate degree with us, you will need to pay tuition fees for your course. How much you pay depends on whether you live inside the UK, or internationally (outside the UK).

Tuition fees are reviewed annually and may be increased in line with inflation, prior to the start of each academic year, and subject to the fee cap set by the UK government. Such increases to fees will be at the Retail Price Index (RPI) forecast rate, as advised by the Office for Budget Responsibility and the Office for Students. The only exception to this would be where government legislation deems otherwise.

If a rise in the tuition fee becomes necessary, we will endeavour to inform you as soon as possible and we will explain the reason(s) for the increase. Any tuition fee increase will only be applied from the start of the next academic year and will not be applied 'in year'.

UK 2027 entry

Subject to government approval, tuition fees for 2027 will be:

  • £10,050 per year for full time study
  • £7,530 per year for part time study

These prices apply to all UK, Jersey, Guernsey and Isle of Man students

You can find out more about funding your degree by visiting our funding opportunities page:

Funding Opportunities

Placement year funding

If you choose to take a placement year, and your course offers it, you can apply for the Tuition Fee and Maintenance Loan for your placement year. How much you are awarded is based on the type of placement being undertaken and whether it is a paid or unpaid placement. The tuition fee for your placement year will be reduced.

Tuition fees

    UK 2027 entry £10,050 per year full time

    International 2027 entry £12,300 per year full time

International 2027 entry

The tuition fee for 2027 entry to this course is £12,300 per year for full time study.

This price applies to all students living outside the UK.

Due to immigration laws, if you are an international student on a Student Visa, you must study full time. For more information about visa requirements and short-term study visas, please visit the International Visa pages.

Find out more about funding your degree:

International fees and funding

Lifelong Learning Entitlement (LLE)

From 2027 onwards there will be a new student finance system for students who live in England. The new system is called your Lifelong Learning Entitlement (LLE). Find out more about what you are entitled to, how you will repay your loan, and the systems for students who live outside of England, on the Gov.uk student finance guidance.

Additional costs and financial support

There may also be some additional costs to take into account throughout your studies, including the cost of accommodation.

Course-related costs

While studying for your degree, there may be additional costs related to your course. This may include purchasing personal equipment and stationery, books and optional field trips.

Study Abroad

For more information on tuition fee reductions and additional costs for studying abroad, please visit our study abroad page.

Accommodation and living costs

For detailed information on accommodation and living costs, visit our Accommodation pages.

Financial help and support

Our Funding Advice team are here to help you with your finances throughout your degree. They offer a personal service that can help you with funding your studies and budgeting for living expenses. 

For advice on everything from applying for scholarships to finding additional financial support email fundingadvice@yorksj.ac.uk.

Course highlights

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Our teaching draws on both our research and professional experience. This means your learning is informed by the most current thinking in the subject.

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