Comprehensive course analysis
Who should attend
This programme is designed for experienced professionals with five or more years' work experience.
About the course
The 2020s are an era of dramatic evolution to Artificial Intelligence (AI) at the core of our business lives.
AI, predictive analytics and other digital disruptions are transforming business models, processes and customer relationships across every industry. Organisations increasingly find themselves confronting moments of existential change. In this landscape of digital disruption, leaders need both the understanding and the tools to integrate AI into their overall strategy.
This new programme combines cutting edge academic learning with practical, front-line knowledge about the impact of AI. With like-minded, global professionals and university researchers, you will learn how to lead in the development, implementation and running of AI systems. This will give you the confidence to not only cut through the ‘spin’ but also drive long-term value creation and career progression.
This immersive, interactive programme is built on the academic rigour of a specialised Oxford masters-level qualification, in a format designed to suit busy working executives. The diploma consists of four modules in Oxford, over one year.
Benefits To you
- Understand and master the application of AI in business - a long term, translatable career advantage
- Gain an Oxford postgraduate qualification without giving up work
- Build a global professional network
- Meet leading academics and industry experts
- Boost your confidence and credibility at a senior level
- Lifelong association with Oxford University
Benefits To your organisation
- Immediately applicable content
- Practical solutions to address AI and digital disruption
- Access game-changing research
- Retain and develop top achievers and high-potential employees
- Find more organisational benefits
The Oxford Executive Diploma in AI for Business combines the highest standards of academic rigour with a practical approach to leadership in the age of AI.
The landscape of technological disruption
- The digital-first landscape, the state of technological disruption, and the importance of AI
- The history and development of AI within organisations
- Developing growth strategies that leverage AI and generate value
- Digital ethics and the current and emergent considerations for responsible and ethical uses of AI
- Trust, privacy and governance considerations
The business of data and machine learning
- Data types and requirements for machine learning and AI
- Descriptive, predictive, and prescriptive analytics
- Machine learning model types (supervised learning, unsupervised learning, reinforcement learning, deep learning)
- Data and IT infrastructure requirements for machine learning and AI
- Working with and leading data scientists and engineers
- Managing and governing data and machine learning modelling projects
AI in practice
- Strategies for developing an AI system that will create value and drive growth
- Human-AI interactions and the importance of a humans-first approach to AI
- AI across the organisation: case studies of how AI is changing functions such as operations, finance and marketing and re-shaping sectors and professions, from law to advertising
- Developing industry and organisational approaches
Strategic leadership in the age of AI
- New strategic leadership skills in the age of AI
- The implications of digital technologies for organisations
- Digital Transformation
- Strategies for stakeholder management and leading change across the organisation
- Motivating and managing teams in the digital age
Ho-Yin Mak is Associate Professor in Management Science at Saïd Business School and Fellow at St Cross College, Oxford. Ho-Yin has an undergraduate degree from Northwestern University, and Master's and Doctoral degrees from the University of California at Berkeley. Prior to joining Saïd Business...
Dr Michael Smets is Associate Professor in Management and Organisation Studies and a Research Fellow at Green Templeton College. He is also a member of the Centre for Professional Service Firms, based at Saïd Business School. Michael’s research focuses on professional service firms (PSFs), espec...
Professor Andrew Stephen is one of the world’s leading academic marketing experts, with a particular emphasis on issues that lie at the intersection of marketing and technology, such as how, when, and why marketers should use new digital media channels. He was recently ranked as one of the top-25...
Research My research covers empirical and theoretical topics in industrial organization, corporate finance, behavioral finance, asset pricing, and financial economics. Please visit my personal webpage or my SSRN author page for more information. https://sites.google.com/site/martincschmalz/...
Dr. Rhonda Hadi is an Associate Professor of Marketing, and her research interests lie primarily in the domain of sensory marketing. Specifically, she explores how consumer sensations can nonconsciously impact consumer judgments and consumption behaviour, with an emphasis on understanding the und...
Alex Connock has academic, commercial and non-executive roles in digital media. Academically, he is Fellow in Management Practice (Marketing) at Saïd Business School. In 2019-20 he is teaching undergraduate, graduate and executive education, with a specialism in digital media, arts and entertai...
Named one of the world’s 50 most influential management thinkers, a Young Global Leader by the World Economic Forum and one of Fast Company’s most Creative People in Business, Rachel Botsman is a leading expert and author on trust in the digital world. Rachel is the author of two ground breaking...
Dr Natalia Efremova's research focuses on applications of machine learning tools to marketing problems under the Oxford Future of Marketing Initiative. Natalia has a background in both academia and industry research. Over the past 10 years, she has been working in the field of deep learning for ...
Currently, this research is leading to the incorporation of social networks into the understanding of black markets (digital or otherwise) and strategies developed to stunt their growth and proliferation. His research additionally involves questions of social networks’ impact on brand and firm pe...
Jason Bell works under the Future of Marketing Initiative and studies the marketing of new products. Jason researches new product development, especially durable goods. He uses Bayesian econometrics to model consumer demand and competitive equilibria. In addition, Jason has a growing interest an...
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