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