Imperial College London Business School - Executive Education

Program runs for four months.
The following modules are included:
Module 1: Mathematics & Statistics Primer
Module 2: Python Primer
Module 3: Descriptive Analytics
Module 4: Predictive Analytics
Module 5: Prescriptive Analytics

Program runs for four months.

Course runs for nine weeks.

Program runs for nine weeks.
The following modules are offered:
Module 1: Digital Transformation in Healthcare
Module 2: Digital Platform Models for Healthcare
Module 3: Devising a Digital Transformation Strategy
Module 4: Digital Transformation in Hospital Operations
Module 5: Digital Transformation in Primary Care
Module 6: The Digital Patient Experience
Module 7: Digital Disruption in the Pharmaceutical Industry
Module 8: Digitisation in Healthcare Insurance and Payer Organisations
Module 9: Regulation in Digital Healthcare

Program runs for 25 weeks.
The following modules are included:
Section I - Foundations of Machine Learning and Artificial Intelligence
Module 1: Programme Orientation
Module 2: Introduction to Machine Learning
Module 3: Probability for Machine Learning
Module 4: Statistics for Machine Learning
Module 5: Generalisation Theory and the Bias-Variance Trade-Off
Module 6: Evaluating Predictive Performance
Module 7: Advanced Topics in Performance Evaluation
Section II - Methods for Learning from Data
Module 8: Nearest Neighbour Methods
Module 9: Decision Trees, Part I
Module 10: Decision Trees, Part II
Module 11: Naive Bayes
Module 12: Bayesian Optimisation
Module 13: Logistic Regression
Module 14: Support Vector Machines
Module 15: Unsupervised Learning
Module 16: Principal Component Analysis
Section III - Advanced Topics in Artificial Intelligence and Machine Learning
Module 17: Introduction to Deep Learning
Module 18: Neural Networks
Module 19: Hyperparameters
Module 20: Transparency and Interpretability
Module 21: Convolutional Neural Networks
Module 22: Biological Basis for Convolutional Neural Networks
Module 23: Reinforcement Learning
Module 24: Hyperparameter Tuning
Module 25: Capstone Competition

Program runs for 11 weeks.
The following modules are included:
Module 1: Corporate Finance and Strategy- Review of Relevant Concepts
Module 2: Mergers & Acquisitions- Background
Module 3: Motives, Strategies and Empirical Performance
Module 4: Forms of Corporate Restructuring
Module 5: M&A Process
Module 6: Takeover Tactics and Defenses
Module 7: Hyper Leverage as an M&A Defense
Module 8: After the Deal
Module 9: International M&A
Module 10: M&A Industry and Careers

Program runs for 11 weeks.
The following modules are included:
Module 1: Types and Economics of Private Equity
Module 2: Introduction to the Private Equity Industry
Module 3: Opportunity and Risk for Investors
Module 4: Private Equity Financing and Investment Process
Module 5: LBO Analysis and Valuation
Module 6: After the Deal
Module 7: Private Equity Through the Credit Crisis and Industry Evolution
Module 8: Future of Private Equity
Module 9: Private Equity in Developing Markets
Module 10: Fund Organisation and Career Opportunities

Program runs for four months.
The following modules are included:
Module 1: Mathematics & Statistics Primer
Module 2: Python Primer
Module 3: Descriptive Analytics
Module 4: Predictive Analytics
Module 5: Prescriptive Analytics

Program runs for six weeks.
The following modules are included:
Phase I - Technologies Driving Digital Transformation
Module 1: The Cloud and Mobile
Module 2: The Internet of Things
Module 3: Big Data Analytics
Module 4: Automation and Artificial Intelligence
Module 5: FinTech and Blockchain
Phase II - Implementing a Digital Transformation
Module 6: Sources of Value in a Digital World
Module 7: A Framework for Implementing a Digital Transformation
Module 8: Considerations of Privacy and Security

Course is offered in a virtual format.
The following modules are included:
Module 1: Using Financial Information Intelligently
Module 2: Analysing the Income Statement and Statement of Cash Flows
Module 3: Measures of Business Performance
Module 4: Applying the DuPont System
Module 5: Using Discounted Cash Flows
Module 6: Discounted Cash Flow Applications
Module 7: Capital Structure
Module 8: Capital Structure and Financial Strategy

Program runs for eight weeks.
The following modules are offered:
Module 1: Digital Transformation and Financial Services
Module 2: Personal Banking
Module 3: Lending Markets
Module 4: Applications of Machine Learning in Fintech; Risk Management and Credit Scoring
Module 5: Digital Distributed Ledger: Blockchain and Cryptocurrencies
Module 6: Regulations
Module 7: Fintech Capstone Project

Course is offered in a virtual format.
The following modules are included:
Module 1: Introduction and Overview & Disruption, Innovation and Uncertainty
Module 2: Design Thinking as a Strategy for Innovation
Module 3: Responses to Uncertainty
Module 4: Thinking Disruptively about Corporate Innovation
Module 5: Leading and Working with People for Innovation

Course is offered in a virtual format.
The following modules are included:
Module 1: Recent trends in risk management and the importance of addressing individual and organizational biases
Module 2: Foundations of Risk Measurement 1
Module 3: Foundations of Risk Measurement 2
Module 4: Risk and Reputation: In the COVID-19 era and beyond
Module 5: Foundations of Risk Finance Theory 1
Module 6: Foundations of Risk Finance Theory 2
Module 7: Financial Markets and Instruments 1
Module 8: Financial Markets and Instruments 2
Module 9: Insights from the Chief Risk Officer of an Asset Management Company
Module 10: Market Risk Management 1
Module 11: Market Risk Management 2
Module 12: Risk Management of Complex Portfolios
Module 13: Risk Management and Insurance Markets
Module 14: Credit Risk Management
Module 15: Counter-Party and Funding Risk
Module 16: Enterprise Risk Management, Operational Risk and Challenges of Applying Risk Management in Practice

Program runs for six weeks.
The following modules are included:
Module 1: AI Technologies & Applications
Module 2: Think and Design Like an AI Entrepreneur
Module 3: Design Strategies to Drive Innovation and Growth
Module 4: Risks & Mitigation
Module 5: Launching the AI Venture
Module 6: Experiential Learning Capstone Project

Program runs for 21 weeks.
The following modules are included:
Module 1: Customer Behaviour, Segmentation, and Journey Mapping
Module 2: Online Product Positioning
Module 3: Paid Search
Module 4: Search Engine Optimisation (SEO)
Module 5: Content Marketing
Module 6: Email Marketing
Module 7: Winning the War of Attention and Online Advertising
Module 8: Online Customer Engagement I
Module 9: Online Customer Engagement II
Module 10: Social Media Marketing: Paid and Organic
Module 11: Social Media Marketing: Platforms
Module 12: Customer Segmentation in the Age of Big Data
Module 13: Artificial Intelligence in Digital Marketing
Module 14: Digital Performance Metrics
Module 15: A/B Testing
Module 16: Sentiment Analysis
Module 17: Brand Management in the Digital World
Module 18: Managing Customer Relationships
Module 19: Frameworks for Implementing Digital Marketing
Module 20: Capstone Project

Program runs for 13 weeks.
The following modules are included:
Module 1: The environmental impacts of business
Module 2: The social impacts of business
Module 3: Assessments and operations
Module 4: Sustainable business model innovation
Module 5: Sustainable business strategies
Module 6: The role of finance and integrated reporting
Module 7: Purpose-driven leadership and incentive systems for sustainability
Module 8: Organisational culture change and the purpose of the organisation
Module 9: Stakeholder integration in governance
Module 10: The purpose-driven flourishing enterprise
Module 11: Leading ecosystem change
Module 12: Capstone project

Course is offered in a virtual format.
The following topics are included:
Week 1: Orientation Week
Week 2: Welcome Session and Leading the Digital Enterprise
Week 3: Digitally Human and Coaching as a Leadership Style: Why
Week 4: Coaching as a Leadership Style: What, How
Week 5: Coaching as a Leadership Style: Practice and Authentic Leadership
Week 6: Difficult Conversations and Managing Your Personal Brand
Week 7: Cognitive Diversity & High-Performance Teams and Finding your Leadership Purpose
Week 8: Answer Intelligence and Emotional Intelligence
Week 9: Leading High-Performance Teams and Summary of the Programme

Course is offered in a virtual format.
The following modules are included:
Module 1: Digital Transformation in Perspective
Module 2: Plotting Your Digital Journey
Module 3: The Digital Transformation Framework
Module 4: Framework – Foundations
Module 5: An introduction to Design Thinking
Module 6: Design Thinking challenges and Discover Phase
Module 7: Fieldwork
Module 8: The Role of Data in Driving Change
Module 9: Framework: Readiness
Module 10: Performance
Module 11: Iteration & Keeping Up With Change
Module 12: Define phase, Design phase, Deliver phase, and final presentations
Module 13: Strategy Briefing
Module 14: Group Coaching
Module 15: Strategy Pitching

Program runs for six weeks.
The following modules are included:
Module 1: Climate Change: Challenges and Opportunities
Module 2: The Role of Innovation in Climate Change Action
Module 3: Strategies for Effective Climate Change Action
Module 4: Business Model Innovation
Module 5: Testing a Business Model Hypothesis to Find Market Fit
Module 6: Leading and Shaping Climate Innovation: A Plan for Action

Program runs for nine weeks.
The following modules are offered:
Module 1: Digital Transformation in Healthcare
Module 2: Digital Platform Models for Healthcare
Module 3: Devising a Digital Transformation Strategy
Module 4: Digital Transformation in Hospital Operations
Module 5: Digital Transformation in Primary Care
Module 6: The Digital Patient Experience
Module 7: Digital Disruption in the Pharmaceutical Industry
Module 8: Digitisation in Healthcare Insurance and Payer Organisations
Module 9: Regulation in Digital Healthcare

Program runs for four months.
The following modules are included:
Module 1: Mathematics & Statistics Primer
Module 2: Python Primer
Module 3: Descriptive Analytics
Module 4: Predictive Analytics
Module 5: Prescriptive Analytics

Program runs for 11 weeks.
The following modules are included:
Module 1: Corporate Finance and Strategy- Review of Relevant Concepts
Module 2: Mergers & Acquisitions- Background
Module 3: Motives, Strategies and Empirical Performance
Module 4: Forms of Corporate Restructuring
Module 5: M&A Process
Module 6: Takeover Tactics and Defenses
Module 7: Hyper Leverage as an M&A Defense
Module 8: After the Deal
Module 9: International M&A
Module 10: M&A Industry and Careers

Program runs for 11 weeks.
The following modules are included:
Module 1: Types and Economics of Private Equity
Module 2: Introduction to the Private Equity Industry
Module 3: Opportunity and Risk for Investors
Module 4: Private Equity Financing and Investment Process
Module 5: LBO Analysis and Valuation
Module 6: After the Deal
Module 7: Private Equity Through the Credit Crisis and Industry Evolution
Module 8: Future of Private Equity
Module 9: Private Equity in Developing Markets
Module 10: Fund Organisation and Career Opportunities

Program runs for 25 weeks.
The following modules are included:
Section I - Foundations of Machine Learning and Artificial Intelligence
Module 1: Programme Orientation
Module 2: Introduction to Machine Learning
Module 3: Probability for Machine Learning
Module 4: Statistics for Machine Learning
Module 5: Generalisation Theory and the Bias-Variance Trade-Off
Module 6: Evaluating Predictive Performance
Module 7: Advanced Topics in Performance Evaluation
Section II - Methods for Learning from Data
Module 8: Nearest Neighbour Methods
Module 9: Decision Trees, Part I
Module 10: Decision Trees, Part II
Module 11: Naive Bayes
Module 12: Bayesian Optimisation
Module 13: Logistic Regression
Module 14: Support Vector Machines
Module 15: Unsupervised Learning
Module 16: Principal Component Analysis
Section III - Advanced Topics in Artificial Intelligence and Machine Learning
Module 17: Introduction to Deep Learning
Module 18: Neural Networks
Module 19: Hyperparameters
Module 20: Transparency and Interpretability
Module 21: Convolutional Neural Networks
Module 22: Biological Basis for Convolutional Neural Networks
Module 23: Reinforcement Learning
Module 24: Hyperparameter Tuning
Module 25: Capstone Competition

Program runs for eight weeks.
The following modules are offered:
Module 1: Digital Transformation and Financial Services
Module 2: Personal Banking
Module 3: Lending Markets
Module 4: Applications of Machine Learning in Fintech; Risk Management and Credit Scoring
Module 5: Digital Distributed Ledger: Blockchain and Cryptocurrencies
Module 6: Regulations
Module 7: Fintech Capstone Project