MSc Business Analytics and Artificial Intelligence

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Whether online, on campus in Manchester, or at events worldwide, you’ll have the opportunity to ask questions and get advice on your next steps.

At these events you can:

• Learn more about this programme and related Master’s courses
• Get guidance on eligibility, applications and funding
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Staged Admissions Deadlines

NOTE: There is a non-refundable application fee of £60. You should be prompted to pay this within the application portal before you can submit your application. We cannot consider applications until you have paid the application fee.

Applying to multiple programmes

Your statement of purpose should cover the areas outlined below:

• Tell us why you are interested in the MSc Analytics and Artificial Intelligence course at Alliance MBS and how the course will impact on your future
• Please list any other quantitative courses or qualifications you have taken in addition to your undergraduate degree
• Describe what makes you an outstanding applicant and describe your potential to contribute to all aspects of the course.

You will learn:

Core Knowledge and Skills

• Master the core theories, quantitative skills, and analytical techniques necessary for the AI economy, specifically focusing on advanced data analytics, machine learning, and strategic optimisation.
• Gain a solid theoretical and quantitative foundation, complemented by crucial practical problem-solving techniques and critical decision-making frameworks.

Practical Applications and Experience

Real-World Application. Apply your knowledge directly to real-life scenarios through case studies, individual research, and team-based business consultancy projects.

Applied Machine Learning Tools and Techniques. Develop hands-on proficiency with industry-leading and cutting-edge software tools such as Python and R as a core component of your data analytics and machine learning finance & banking, consulting, government analytics, e-commerce & retail, manufacturing & supply chain, and IT & technology.

Formerly MSc Business Analytics, Operational Research and Risk Analysis, this course has been reviewed and relaunched from September 2026, with an increased emphasis on AI for Business. Find out more >>

• Develop advanced capability in business analytics and artificial intelligence, equipping students with the quantitative, computational and strategic skills required for data-driven decision-making in complex organisational environments.
• Integrate analytical theory with practical application, enabling students to design, implement and evaluate machine learning, optimisation and risk models using industry-standard tools.
• Cultivate strategic decision-makers who can translate data insight into actionable business solutions across finance, consulting, government, technology, retail and manufacturing contexts.
• Strengthen professional and consultancy skills, including collaborative problem-solving, stakeholder communication and evidence-based reporting through applied project work.
  

Real-World Application. The program prioritises practical exposure, featuring recent highlights that include guest talks, masterclasses, and company-sponsored dissertation projects with a wide range of industry partners.

Research Excellence and AI Integration. The programme is closely linked with the Centre for AI and Decision Sciences. This direct connection ensures you benefit from teaching that incorporates the latest research in AI (including Generative AI, Agentic AI, and Responsible AI), Machine Learning, and optimisation strategies.

Business Analytics Consultancy Project (60 credits). A cornerstone of the programme, this allows you to apply your taught knowledge directly to real-world business challenges. Acting as professional consultants, you will work collaboratively in groups to design and deliver a comprehensive, data-driven solution to a complex industry case study, developing and refining your project throughout the entire academic year.

Our expert faculty utilise a diverse range of teaching methods to ensure you remain fully engaged and prepared for the modern workplace. Your learning experience will move beyond traditional lectures, incorporating hands-on technical lab sessions, interactive strategic workshops, and guided independent study.

By engaging with this blended approach, you will graduate with a robust portfolio of highly sought-after transferable skills:

• Collaborative Teamwork: Engage in comprehensive group projects that mirror real-world consultancy, developing your ability to thrive in multidisciplinary teams.
• Impactful Communication: Participate in regular group discussions to sharpen your interpersonal and oral presentation skills—crucial for delivering stakeholder briefings.
• Professional Reporting: Complete rigorous written assessments to master the art of translating complex data and AI concepts into clear, strategic business reports.
• Digital Agility & Autonomy: Leverage integrated e-learning platforms and digital assessments to build confidence in managing your own continuous learning in the fast-paced tech landscape.

Assessment varies depending on course units taken. It may include a combination of individual course work, group project assessment and presentations, assignments, in-class tests and examination. 

The dissertation is normally undertaken.

Prepare for high-impact careers in data-driven and technology-enabled organisations across finance and banking, consulting, government analytics, e-commerce and retail, manufacturing and supply chain, and IT and technology.

Graduates progress into analytical and decision-focused roles where advanced modelling, optimisation and data insight inform strategy and performance. Typical job titles include operational research analyst, business analyst, data analyst, data scientist, risk analyst, financial analyst, systems analyst, performance analyst and business modeller, alongside roles in operations, logistics, production, project, risk and general management. Employers range from global consultancies and financial institutions to retail and manufacturing firms, government analytics units, defence organisations and major technology and solutions providers.

AMBS Master’s students have dedicated careers support designed to build employability and connect you with employers. You’ll have access to employability sessions covering applications, CVs, interviews and LinkedIn; tailored workshops with feedback; and one-to-one support with a careers consultant. You can also engage with employer and alumni insights through guest speaker events, and keep track of opportunities through the online careers platform. The AMBS postgraduate careers support works closely with the University Careers Service, giving access to careers fairs, employer presentations and advertised vacancies.

Recent recruiters
America Veintiuno, Aon, Bank of East Asia, BIP Consulting, Dell, Deloitte, Google, Goldman Sachs, Hainan Airlines, HMR, HSBC, IBM, PwC, Bank of China, Royal Bank of Scotland, Saudi Aramco, Disney Analytics, Sky, Swiss Re, Infosys and Peak AI.