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)

Program runs for 13 weeks.

Course runs for 11 weeks.

Program runs for four months.

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