Get under the skin of data and AI technologies, models and more. With guidance from Alan Turing Institute fellows Julia Handl and Richard Allmendinger, explore how these technologies can transform organisations and provide a foundation for making more deliberate business decisions.
In this video, course leads Professor Julia Handl and Professor Richard Allmendinger discuss what delegates can look forward to by joining this course, and the target audience.
Key Information
Key Information
Course topics
With no coding or programming experience required, by joining this course you will begin building a high-level of data literacy knowledge. You will also learn to weigh technologies and their potential impact and discover a confidence in numbers you didn’t realise existed.
Whichever industry you work in, data and AI literacy is fast becoming a fundamental and sought-after skill, and it’s increasingly important for decision-makers to have the ability to integrate this knowledge into the strategic choices they make.
Develop the skills needed to make impactful, data-driven decisions within your business, and build your conceptual understanding of AI and how it can be applied within your organisation.
Throughout the course, we’ll explore how data and artificial intelligence can support smarter decision-making and long-term business success.
We’ll cover:
- Turning data into business value - Understand how data drives performance, innovation and growth – and learn to ask the right questions, challenge assumptions, and uncover insights that lead to smarter decisions, without needing to be a data analyst.
- The power and limits of AI - Explore what AI can and can’t do. Gain a clear view of how it’s being used in business, from automation to advanced insights
- Responsible and ethical use of data and AI - Understand the risks and responsibilities that come with data and AI. We’ll look at trust, bias, fairness, and how to make decisions that are both smart and ethical
- Building a data-driven culture - Discover how to lead change in your organisation, develop data confidence in your teams, and create a culture where insight drives action
- Unlocking the toolkit of modern AI and analytics - Explore how cutting-edge techniques, from powerful data visualisations and predictive models to optimisation tools and large language models (LLMs), can transform decision-making. Learn the assumptions behind these methods and how to choose the right one for the challenge at hand
During the course, you will have a range of opportunities to get to know your class, including a course dinner which offers the chance to come together with a wider cohort of short-course learners to help expand your network.
How you learn
This face-to-face course at Alliance Manchester Business School’s Executive Education Centre connects theory to practice through interactive workshops, group discussions, and guest talks from experts like Vlad Jiman (Policy Expert), Benjamin Mawdsley (City Football Group), and Joe Loxham (Peak).
We’ll explore the cutting-edge Data Visualisation Laboratory and work with real data sets to build practical skills.
Designed to facility understanding of complex data and AI concepts, the course uses case studies, models, and dashboards to demonstrate real-world AI applications for business.
Throughout the course, you will:
- Learn from world-leading academics who combine cutting-edge research with extensive experience helping industry partners adopt and commercialise AI
- Collaborate with senior professionals from diverse industries
- Apply learning directly to your own organisational challenges
- Engage in lively discussions, workshops, and exercises that bridge theory and real-world practice
Stand-out learning features
- Applied learning - Work in an environment designed to foster active engagement, where your facilitator draws on the collective experience of your cohort to enrich the learning
- Peer knowledge exchange - Benefit from ongoing feedback and insights from professionals across sectors - helping you grow your leadership mindset and strategic marketing skills
- Reflective practice - Take a rare pause from your daily routine to reflect on your own marketing capabilities and challenges, with support from top-tier academic experts
- Professional networking - Build long-lasting professional relationships with peers from a variety of backgrounds, expanding your business network and perspective
- Personal growth - Deepen your self-awareness and discover how to sharpen your core marketing competencies in a changing business landscape
- Behavioural change - Embrace new mindsets and adopt evidence-based practices that will enhance your decision-making and managerial effectiveness
Learning continues beyond the classroom
Before, during, and after the course, you will have access to our virtual learning environment, where you’ll find:
- Pre-course preparation
- Slide decks and case studies
- Recommended readings and resources
And to support your long-term growth, you’ll continue to access these materials, plus the University of Manchester’s online library, for up to 12 months after course completion.
How you and your organisation benefits
By the end of the course you will:
- Enhance decision-making using data and AI models
- Understand AI ethics, legal, and social responsibility issues
- Build data literacy and storytelling skills
- Learn key AI terminology and critical questions to ask
- Gain insights from real-world case studies and industry experts
- Reflect on your skills with guidance from AMBS faculty
- Identify risks and opportunities through data analysis
Plus your organisation will gain:
- Improved data-driven decision-making across teams
- Higher productivity and performance through analytics
- Solutions for AI deployment challenges and risks
- Access to the AMBS Executive Education Network with events and professional connections
Who should attend
This course is ideal for general and technical managers, leaders, and decision-makers across industries who:
- Have a basic understanding of data
- Want to improve their skills in interpreting and critically analysing business data and AI models
- Aim to leverage data and AI to drive better business outcomes
No prior coding or programming experience is required; this course focuses on practical insights and strategic application.