Imperial College London Business School - Executive Education

Course is offered over 3 days in London (on-campus) and 3 days in Copenhagen (on-campus). The following modules are included: Module 1 - At Imperial College London, 2 - 4 November, 2022 (on-campus) Module 2 - At Copenhagen Business School, 7 - 9 December, 2022 (on-campus)

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 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: 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 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

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 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