MSc Business Analytics and Artificial Intelligence

Alliance Manchester Business School and the university both hold regular events throughout the year, including webinars, information sessions and the annual on-campus Master’s Expo. All of which offer the opportunity to find out more about our facilities and courses from our academic and admissions staff.

This year sign up for webinars as part of our ‘Original Thinking for the Next Generation’ Webinar series, exclusively at Alliance Manchester Business School. Join a webinar to hear from academics and employers about the skills students gain, how they are applied in the workplace, and where they could take you next.

We also attend a number of education fairs both in the UK and overseas throughout the year. For more details on how you can meet us, visit our events page.

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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.

Develop advanced analytical, computational and strategic skills to support data-driven decision-making in complex organisations. MSc Business Analytics and Artificial Intelligence is designed for students who want to apply business analytics and AI to real organisational challenges, combining strong theoretical foundations with practical tools and applied project work.

You will study the fundamental theories, approaches and analytical toolkit of data analytics, decision sciences, applied operational research and statistics. The course develops advanced expertise in machine learning, data analytics and strategic optimisation, helping you improve organisational performance, manage risk and translate analytical insight into strategic action.

The programme has been reviewed and relaunched from September 2026 with an increased emphasis on AI for Business. You will benefit from teaching connected to the Centre for AI and Decision Sciences, with course content reflecting current developments in AI, machine learning and optimisation.

You will apply your learning through real-life scenarios, case studies, individual research and team-based business consultancy projects. Course units include areas such as risk, performance and decision analysis, mathematical programming and optimisation, machine learning for business, applied statistics and business forecasting, Python programming for business analytics, and optional units including AI ethics, simulation and risk analysis, financial data analytics and digital strategy.

Studying at Alliance Manchester Business School means joining one of the UK’s first two business schools and the UK’s largest campus-based business and management school.

• 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.
  

Enhanced focus on AI for Business
The course has been reviewed and relaunched from September 2026 with an increased emphasis on AI for Business, helping you build skills relevant to organisations using analytics and AI to inform decisions.

Learn from research-active experts
The programme is closely linked with the Centre for AI and Decision Sciences, giving you access to teaching that incorporates current research in AI, machine learning and optimisation strategies.

Apply analytics to real business challenges
You will apply your knowledge to real-life scenarios through case studies, individual research and team-based business consultancy projects, strengthening your ability to turn analytical insight into practical recommendations.

Build technical and strategic capability
The course develops quantitative, computational and strategic skills in areas including advanced data analytics, machine learning, strategic optimisation, decision-making, risk analysis and business forecasting.

Develop hands-on software and analytical skills
You will develop practical capability with tools such as Python and R as part of your data analytics and machine learning learning, with the course unit list also including Python Programming for Business Analytics.

Tailor your learning through optional units
You can align your studies with your interests and career ambitions through optional units such as AI Trends and AI Ethics, Simulation and Risk Analysis, Financial Data Analytics and AI in Finance, Digital Strategy, Essential Risk Management for Business, and Decision Behaviour, Analysis and Support

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.

Throughout the programme, you will develop a broad set of analytical, technical and professional skills, including:

• Data analytics and applied AI.
• Machine learning for business.
• Strategic optimisation and mathematical programming.
• Risk, performance and decision analysis.
• Applied statistics and business forecasting.
• Python programming for business analytics.
• Problem-solving, critical decision-making and evidence-based reporting.
• Collaborative consultancy-style working and stakeholder communication.
• Translating analytical insight into strategic action.

These skills support career pathways 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 may progress into analytical and decision-focused roles such as operational research analyst, business analyst, data analyst, data scientist, risk analyst, financial analyst, systems analyst, performance analyst and business modeller, as well as roles in operations, logistics, production, project, risk and general management.

By combining advanced analytics, AI, optimisation, applied project work and dedicated careers support, MSc Business Analytics and Artificial Intelligence helps students build the confidence to analyse complex business problems and contribute to data-driven decision-making across sectors

Careers support

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.