MBA2 - Master of Business Engineering
Instructor
Mario Guillemin
- Description
- Curriculum
- Reviews
Data Science, AI, and Decision Analytics
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1
Course summary - Data, Models, and Decisions -
2
Course summary - Analytics for Managers
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3
Course summary - Probability and Statistics
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4
Course summary - Optimization Methods
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5
Course summary - Predictive Modeling
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6
Course summary - Applied Machine Learning for Business
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7
Course summary - Big Data Analytics
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8
Course summary - Decision Analysis
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9
Course summary - Business Intelligence Systems
Quantitative Methods and Operations Research
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10
Course summary - Data Visualization and Communication
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11
Course summary - Applied Econometrics
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12
Course summary - Quantitative Methods in Finance
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13
Course summary - Forecasting Techniques
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14
Course summary - Statistical Programming with Python
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15
Course summary - Data Cleaning and Preparation
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16
Course summary - Deep Learning for Business
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17
Course summary - Experimental Design
Information Systems and Blockchain
Accounting, Auditing, and Financial Reporting
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24
Course summary - Financial Accounting
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25
Course summary - Management Accounting
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26
Course summary - Financial Statement Analysis
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27
Course summary - Advanced Corporate Finance
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28
Course summary - Cost Accounting
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29
Course summary - Budgeting and Forecasting
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30
Course summary - IFRS vs. GAAP Standards
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31
Course summary -Audit Principles
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32
Course summary -Performance Measurement Systems
Global Operations and Sustainable Logistics
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33
Course summary - Introduction to Operations Management
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34
Course summary - Operations Strategy
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35
Course summary - Supply Chain Design
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36
Course summary - Lean Operations
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37
Course summary - Service and Operations Management
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38
Course summary - Logistics Systems
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39
Course summary - Project Management Fundamentals
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40
Course summary - Total Quality Management
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41
Course summary - Operations Simulation
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42
Course summary - Sustainable Operations
Systems Engineering and Advanced Manufacturing
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43
Course summary - Principles of Systems Engineering
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44
Course summary - Advanced Manufacturing
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45
Course summary - Smart Materials
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46
Course summary - AI for Engineering Systems
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47
Course summary - Robotic Systems Design
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48
Course summary - Additive Manufacturing
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49
Course summary - Process Automation
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50
Course summary - Industrial Maintenance
Project Management, Risk, and Technical Excellence
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51
Course summary - Technical Project Management
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52
Course summary - Agile Project Management
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53
Course summary - Engineering Risk Management
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54
Course summary - Technological Project Leadership
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55
Course summary - Product Development Processes
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56
Course summary - Integrated Project Delivery
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57
Course summary - Engineering Cost Analysis
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58
Course summary - Advanced Planning
Sustainable Leadership and Corporate Responsibility
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59
Course summary - Sustainable and Ethical Leadership
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60
Course summary - Environmental Economics
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61
Course summary - Corporate Social Responsibility
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62
Course summary - Sustainable Operations
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63
Course summary - Green Supply Chain
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64
Course summary - Circular Economy
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65
Course summary - ESG Reporting
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66
Course summary - Impact Finance
Innovation and Industrial Transformation
Global Capstone Project and Field Immersion
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74
Course summary - Kaizen Project
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75
Course summary - Digital Factory Lab
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76
Course summary - Partner Company Visits
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77
Course summary - Benchmarking and Best Practices
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78
Course summary - Global Supply Chain Simulation
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79
Course summary - Continuous Improvement Project
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80
Course summary - Industrial Strategy Simulation
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81
Course summary - Strategic Capstone Project
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Course details
Lectures
81
Level
Advanced
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