Executive Education

Leading with Data and AI

Dates: More dates coming soon


The details
Leading with Data and AI
Level 0
No date available
Colchester Campus

Big Data, Data Science, Analytics, Artificial Intelligence and Machine Learning have been dominating the headlines in the last few years. But what does it all mean?

What are these technologies and how are they linked? What benefits can organisations and businesses derive from deploying such technologies and how can they go about and embed them to deliver tangible benefits? This course aims to demystify these concepts and highlight direct business benefits.

Navigating through the complex maze of these rapidly evolving technologies can be non-trivial for corporations of different size and market maturity. We look beyond the hype and focus on the real challenges and opportunities of practical applications of such technologies for businesses. Whether it is to gain efficiency in current business model or transform decision making and product or service delivery, there are many ways to utilise AI technologies.

Join this programme to develop understanding and knowledge of the fundamental principles of these technologies and draw on the insights from their uses and applications.

This programme is particularly relevant to those in technology, digital, innovation and research and development roles, such as:

  • Directors
  • Senior Executives
  • Managers
  • Entrepreneurs

Learning outcomes

Benefits to you:

  • Learn the fundamental principles and concepts behind big data, data science and artificial intelligence.
  • Develop an understanding of the workings of artificial intelligence and machine learning algorithms.
  • Understand the applications and benefits of embedding advanced analytics and artificial intelligence techniques in organisations.
  • Gain sufficient insight to differentiate hype and myth of AI from real opportunity.

Benefits to your organisation:

  • Recognise the challenges and opportunities of embedding new technologies in the context of your organisation.
  • Explore and understand where data science and artificial intelligence techniques can be utilised and have the most impact in your organisation .
  • Learn from case studies from a range of organisations on the use of data science and artificial intelligence.

How You Learn:

  • Explore examples from different sectors to see how data science and artificial intelligence techniques can be applied in different settings.
  • Reflect on your organisation and identify opportunities for embedding data science and artificial intelligence techniques to gain a competitive advantage and improve your effectiveness and operations.
  • Put principles and concepts into practice through real examples from different industries.
  • Experiment and learn in a safe space, get outside your comfort zone with the support of tutors and develop your thinking and strategy to influence your stakeholders.
  • Devise a practical plan to explore the embedding of new technologies into your organisation.

Our expert staff

FASLI57304_Maria_Fasli_300x200 Professor Maria Fasli

Professor Maria Fasli is UNESCO Chair in Analytics and Data Science and Director of Institute for Analytics and Data Science, University of Essex.

Her research interests include: Data exploration, analysing and modelling complex data; Big data analysis and modelling of structured and unstructured data; Machine learning modelling opponents learning behaviours from data; Reasoning and analytics over multiple streams of data Internet of Things (IoT) reasoning and analytics; Market mechanisms negotiation protocols strategic interaction supply chain management.

Dr Spyros Samothrakis

Dr Spyros Samothrakis is Senior Lecturer in the School of Computer Science and Electronic Engineering (CSEE) and Assistant Director of Institute for Analytics and Data Science (IADS).

His research interests include: Reinforcement Learning; Machine Learning; Neural Networks; and Role Playing Games.



Professor Tazeeb Rajwani

Tazeeb Rajwani is Professor of International Business and Strategy.

He has held senior management positions at KPMG and was previously Executive MBA Director at Cranfield School of Management. Professor Rajwani has held visiting faculty positions across the globe, including the likes of University of Warwick, London Business School and HULT International Business School.


Module Outline

We understand that deciding where and what to study is a very important decision for you. We’ll make all reasonable efforts to provide you with the courses, services and facilities as described on our website. However, if we need to make material changes, for example due to significant disruption, or in response to COVID-19, we’ll let our applicants and students know as soon as possible.

Demystifying Artificial Intelligence and Data Science

Big Data, Artificial Intelligence, Machine Learning, and Data Science have been dominating the headlines in the last few years. Management consultancies talk about Deep Learning as a disruptive technology with applications from self-driving cars and face recognition to virtual assistants. Despite a lot of fancy-sounding algorithms thrown around, machine learning (ML) is composed of fairly simple and bounded tools. Real business applications of ML mostly focus on predicting values, classifying things or clustering them into groups. These key ideas are the foundations for operationalising ML and AI applications in businesses.

Learning outcomes:

  • Understand the changing technology landscape and big & emerging trends
  • Understand basic concepts and definitions in data science and artificial intelligence
  • Gain a high-level overview of the fundamental workings of algorithms

AI-First Business Strategy

Once ML and AI are operationalised, what changes are necessary to successfully adopt and embed the technology in businesses? Also, how to do it ethically and within the legal and regulatory environment?

Learning outcomes:

  • Understand organisational change to achieve digital leadership
  • Understand legal and regulatory environment
  • Understand principles behind ethical use of AI

Nature of Leadership in an AI-driven world

Enabling artificial intelligence technologies in a business is designed to improve and ultimately replace some aspects of human intervention, that is why it’s often seen as a threat to leadership. Our programme aims to help participants learn that although AI will have a significant impact on their business there are both positive and negative outcomes to adopting the technology. Our prediction is that AI will help alleviate many arduous tasks for leaders that involve number crunching facts and figures, giving them in depth insight into their business and helping to push their strategies forward. But it will also help leaders understand the personality traits, attitudes and behaviours of their employees, to boost morale and working practices.

Learning outcomes:

  • What managerial skills can I develop?
  • What will leadership look like in the future?
  • How can a leader build adaptability, engagement and vision.

Building a strategy and a culture for AI-driven world

Doing something different is hard. It takes energy and courage. There is always the risk it won’t work, and not many companies accept that. Your staff have to know that it is safe to ‘move fast and break things’, as Mark Zuckerberg would have it. Thinking about the future necessarily involves planning for more than one scenario, in the full knowledge that some of the planning will be wrong, you just don’t know which bit. The trick is to make that planning and testing quick and cheap.

Learning outcomes:

  • Understand the signals you need to look out for in the market.
  • Learn from other industries, organisations and competitors.
  • Judge what to keep, develop and change in your company to create the right digital strategy.
  • Learn how to create the culture that encourages innovation, not stifles it.
  • Understand the capabilities needed in your company to make digital work.

Fees and funding

Standard programme fee: £495 Alumni programme fee: £395 Accommodation is not included in the above prices.

What's next

Contact us for further dates and information