MG111: AI for Business: Management, Strategy and Governance

Today’s enterprises must navigate Artificial Intelligence (AI) to fully exploit market opportunities and deploy innovative business models to gain an edge on their competitors.

AI is revolutionizing the business landscape, providing unparalleled opportunities for value creation, innovative competitive propositions, and the emergence of new business models. This course provides students with a comprehensive understanding of how artificial intelligence can be applied in business contexts to leverage competitive advantage.

The course blends theoretical knowledge and practical skills, preparing students to understand and leverage AI technologies in various business contexts. The course begins with an insightful introduction to AI and Machine Learning, providing a solid foundation in AI concepts and terminologies. Discovering the evolution of AI and understanding the core mechanisms that drive machine learning and deep learning technologies provides the foundational knowledge to set the stage for more advanced topics. To dive deep into the realm of AI technologies and their applications in business the course explores a wide array of AI technologies, including Natural Language Processing, predictive and prescriptive analytics, and demonstrates their practical applications.

Data is at the heart of AI, and our course emphasizes a robust Data Strategy for AI. Learn how to collect, process, and manage data effectively, building a data-driven culture that powers AI initiatives.

Ethical considerations are paramount in AI deployment. Our course addresses the ethical implications, biases, and the necessity of a strong AI governance framework in business practices.

Addressing these topics, the course provides insight into the unique competences for managing AI in a business context. By the end of the course, you will have a firm understanding of AI integration in business processes, strategic management, and the steps for effective AI governance and implementation.

Prerequisites: There are no prerequisites for this course 

Level: 100 level. Read more information on levels in our FAQs

Fees: Please see Fees and payments

Lectures: 36 hours

Classes: 18 hours

Assessment: Coursework (40%) and one final examination (60%)

Typical credit: 3-4 credits (US) 7.5 ECTS points (EU)

Please note: Assessment is optional but may be required for credit by your home institution. Your home institution will be able to advise how you can meet their credit requirements. For more information on exams and credit, read Teaching and assessment

This course is ideal if you are seeking a practical understanding of the AI fundamentals which help managers to be effective in fast-changing business environments. If you are targeting a career in consulting, business management, or business development you should consider this course. It will also be useful if you are starting an MSc or MBA programme of study and wish to learn introductory concepts in the area.

• Understand how AI affects business value creation
• Show how to develop an AI business strategy
• Show how to manage AI in organisations
• Apply AI techniques including Natural Language Processing, predictive and prescriptive analytics
• Understand ethical considerations in AI design and management
• Understand AI integration in business processes, strategic management, and the steps for effective AI governance and implementation

The design of this course is guided by LSE faculty, as well as industry experts, who will share their experience and in-depth knowledge with you throughout the course.