Award in Decision Making Frameworks and Data Analysis
The MBA module on Decision Making Frameworks and Data Analysis equips students with the tools and methodologies to make informed, strategic, and ethical decisions in complex business environments.
MQF/EQF Level: 7
ECTS: 5 Credits
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OrientationDirector’s Introduction03:27Orientation10:52Understanding Podcasts01:46Understanding Pre-recorded Lectures02:25Understanding Pre-recorded Interviews01:54Understanding Case Studies01:47Understanding Discussion Boards02:30Ascencia Style SheetAI PolicyPolicy for Online Interaction and Behaviour for E-Academic Students
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Lecture 1 : The Decision Making process, a Detailed IntroductionPart 1: The Decision-Making Process – Detailed Introduction31:01Part 2: The Decision-Making Process – Detailed Introduction73:03
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Lecture 2 : Decision Making Models and TheoriesPart 1: Decision-Making Models and Theories78:40Part 2: Decision-Making Models and Theories71:57
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Lecture 3 : Creativity in Decision MakingPart 1: Creativity in Decision-Making94:44Part 2: Creativity in Decision-Making65:55
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Lecture 4 : Ethical Considerations in Decision MakingPart 1: Ethical Considerations in Decision-Making49:07Part 2: Ethical Considerations in Decision-Making27:11Part 3: Ethical Considerations in Decision-Making32:20
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Lecture 5 : Decision Making Tools and Techniques
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Lecture 5.1 : The Monte Carlo Simulation
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Lecture 5.2 : Sensitivity AnalysisLecture 5.2: Sensitivity Analysis46:02
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Lecture 5.3 : Decision Trees
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Lecture 6 : Managing Uncertainty in Decision MakingGuest Interview: Josianne / Daniel Debono36:35
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Lecture 7 : Data Cleaning and Preprocessing
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Lecture 8 : Optimization Techniques in Decision Making
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Lecture 9 : Advanced Quantitative Techniques for Decision-Making
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Lecture 10 : Decision Making in Global and Cross-Cultural Contexts
The MBA module on Decision Making Frameworks and Data Analysis equips students with the tools and methodologies to make informed, strategic, and ethical decisions in complex business environments. Leaders need to be able to recognize the soundness of the data underlying information on which decisions need to be made. This module aims to equip students with the necessary tools, traditional and AI-based, and techniques to make effective decisions in complex business environments. They will learn to analyze complex business problems, evaluate options, and make informed decisions based on data-driven insights.
Programme Outcomes
- Students will master the decision-making process, from identifying problems to evaluating and implementing solutions, with a focus on critical thinking and creativity.
- They will learn to navigate uncertainty through risk assessment, scenario planning, and strategic frameworks like SWOT and OKRs.
- The module emphasizes data-driven decision-making by integrating statistical analysis, visualization techniques, and AI tools, while also exploring ethical considerations and team-based decision dynamics.
- By examining global and cross-cultural contexts, students will gain the ability to adapt decision-making strategies to diverse cultural environments, preparing them to lead with confidence and insight in today’s interconnected world.
- A Bachelor's degree or post-graduate degree in business, administration, management, or a related field
- Minimum 180 ECTS previously acquired at a Higher Education institution
- 2 years of work experience
- A GPA score of 2.5 (C+) or higher (or equivalent) will be required
- Proof of C1 level of English or equivalent
Course Syllabus Podcast
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- Assignment - 100%
- Eportfolio
What’s included
- Duration: 6 Months
- Lectures: N/D
- Learning: N/D
- Certificates