| Language of instruction : English |
| Exam contract: not possible |
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Sequentiality
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No sequentiality
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| Degree programme | | Study hours | Credits | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | Master of Management Data Science | Compulsory | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical |  |
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| | | Learning outcomes |
- EC
| The holder of the degree applies acquired knowledge independently. (Self-direction and entrepreneurial spirit) | - EC
| The holder of the degree shows autonomy in implementing scientific research methods. (Research skills)
| - EC
| The holder of the degree shows autonomy in analysing, interpreting, evaluating and reporting research results. (Research skills)
| - EC
| The holder of the degree integrates the perspective of stakeholders when making decisions in an organizational context. (Stakeholder awareness) | - EC
| The holder of the degree formulates proposals for the improvement of business processes in an international context. (Stakeholder awareness) | - EC
| The holder of the degree reflects on the conduct of business from an ethical and sustainability perspective. (Stakeholder awareness)
| - EC
| The holder of the degree is able to address complex management issues from a strategic and conceptual perspective by adapting and applying management paradigms in general, and in particular paradigms from their specialization. (Problem solving capacity) |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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Prior knowledge of foundational microeconomics is required:
- The student is familiar with the law of supply and demand.
- The student masters the characteristics of market functioning and can apply them for different market forms.
- The student is familiar with the different market failures and how governments can intervene in a market.
- The student can place the government, an organisation and the consumer in the microeconomic context.
- The student is familiar with basic concepts such as utility maximization, opportunity costs, consumer and producer surplus, deadweight loss, pareto efficiency, and is able to apply such concepts in assignments.
The students should be familiar with basic descriptive statistics and understand regression analysis.
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In this course, students learn to assess and evaluate the efficiency of policy measures. Economic valuation methods and approaches are used to select optimal projects or proposals for both private sector firms and public authorities. The focus will be on quantifying direct effects (employees, investments, time, safety, health, climate, etc.) on stakeholders both in- and outside private and public organizations. For these purposes, economic evaluation tools such as cost-benefit analysis, cost effectiveness analysis and multi-criteria analysis will be applied. The theoretical and practical advantages and disadvantages of these various methods will be discussed by means of practical examples. Furthermore, the extent to which the correct use of these methods contributes to the decision-making process of governments and private sector firms will be discussed. In addition, dealing with various types of uncertainties throughout the analysis will be discussed and will learn to use sensitivity analysis (e.g. Monte Carlo simulation).
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Lecture ✔
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Response lecture ✔
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Small group session ✔
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Case study ✔
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Exercises ✔
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Group work ✔
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Presentation ✔
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Report ✔
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Period 1 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 10 % |
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| Written exam | 90 % |
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| Multiple-choice questions | ✔ |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | The exam counts for 100% of the evaluation. |
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| Compulsory course material |
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Presentations and additional literature will be provided via BlackBoard. |
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| Exchange Programme Business Economics | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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Prior knowledge of foundational microeconomics is required:
- The student is familiar with the law of supply and demand.
- The student masters the characteristics of market functioning and can apply them for different market forms.
- The student is familiar with the different market failures and how governments can intervene in a market.
- The student can place the government, an organisation and the consumer in the microeconomic context.
- The student is familiar with basic concepts such as utility maximization, opportunity costs, consumer and producer surplus, deadweight loss, pareto efficiency, and is able to apply such concepts in assignments.
The students should be familiar with basic descriptive statistics and understand regression analysis.
|
|
|
|
In this course, students learn to assess and evaluate the efficiency of policy measures. Economic valuation methods and approaches are used to select optimal projects or proposals for both private sector firms and public authorities. The focus will be on quantifying direct effects (employees, investments, time, safety, health, climate, etc.) on stakeholders both in- and outside private and public organizations. For these purposes, economic evaluation tools such as cost-benefit analysis, cost effectiveness analysis and multi-criteria analysis will be applied. The theoretical and practical advantages and disadvantages of these various methods will be discussed by means of practical examples. Furthermore, the extent to which the correct use of these methods contributes to the decision-making process of governments and private sector firms will be discussed. In addition, dealing with various types of uncertainties throughout the analysis will be discussed and will learn to use sensitivity analysis (e.g. Monte Carlo simulation).
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Lecture ✔
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Response lecture ✔
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Small group session ✔
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Case study ✔
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Exercises ✔
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Group work ✔
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Presentation ✔
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|
Report ✔
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Period 1 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 10 % |
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|
| Written exam | 90 % |
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|
| Multiple-choice questions | ✔ |
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|
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | The exam counts for 100% of the evaluation. |
|
|
|
|
|
| Compulsory course material |
| |
Presentations and additional literature will be provided via BlackBoard. |
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|
|
| Master of Teaching in Economics cluster economie | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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| | | Learning outcomes |
- EC
| The newly graduated student plans the teaching and learning activities and organizes a learning and living environment in both the short and the long term, taking account of the learner, the learning group, the team at school and partners and external parties. | - EC
| The newly graduated student communicates in a clear manner in a variety of linguistic situations and cooperates constructively with learners, colleagues, parents and external parties as required by the learning process. | - EC
| The newly graduated student engages in a continuous professional learning process focused on learning & development, diversity & talents, innovation & co-creation in education. | - EC
| The newly graduated student can answer management questions, strategic policy issues or business economic problems with the help of conceptual, business economic thinking frameworks or from a practice-oriented perspective with regard to the functional management domains. | - EC
| The newly graduated student demonstrates independence with and reports on conducting a literature study, drawing up a research plan, implementing scientific research methods and analyzing, interpreting and evaluating research results within business management and economics. | - EC
| The newly graduated student actively monitors developments in business management and economics and practices, and reflects on them from an ethical and sustainability perspective. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
Prior knowledge of foundational microeconomics is required:
- The student is familiar with the law of supply and demand.
- The student masters the characteristics of market functioning and can apply them for different market forms.
- The student is familiar with the different market failures and how governments can intervene in a market.
- The student can place the government, an organisation and the consumer in the microeconomic context.
- The student is familiar with basic concepts such as utility maximization, opportunity costs, consumer and producer surplus, deadweight loss, pareto efficiency, and is able to apply such concepts in assignments.
The students should be familiar with basic descriptive statistics and understand regression analysis.
|
|
|
|
In this course, students learn to assess and evaluate the efficiency of policy measures. Economic valuation methods and approaches are used to select optimal projects or proposals for both private sector firms and public authorities. The focus will be on quantifying direct effects (employees, investments, time, safety, health, climate, etc.) on stakeholders both in- and outside private and public organizations. For these purposes, economic evaluation tools such as cost-benefit analysis, cost effectiveness analysis and multi-criteria analysis will be applied. The theoretical and practical advantages and disadvantages of these various methods will be discussed by means of practical examples. Furthermore, the extent to which the correct use of these methods contributes to the decision-making process of governments and private sector firms will be discussed. In addition, dealing with various types of uncertainties throughout the analysis will be discussed and will learn to use sensitivity analysis (e.g. Monte Carlo simulation).
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|
|
|
|
|
|
|
|
Lecture ✔
|
|
|
|
Response lecture ✔
|
|
|
|
Small group session ✔
|
|
|
|
|
|
|
|
Case study ✔
|
|
|
|
Exercises ✔
|
|
|
|
Group work ✔
|
|
|
|
Presentation ✔
|
|
|
|
Report ✔
|
|
|
|
Period 1 Credits 6,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 10 % |
|
|
|
|
|
| Written exam | 90 % |
|
|
| Multiple-choice questions | ✔ |
|
|
|
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | The exam counts for 100% of the evaluation. |
|
|
|
|
|
| Compulsory course material |
| |
Presentations and additional literature will be provided via BlackBoard. |
|
|
|
|
|
| Master of management Business Process Management | Transitional curriculum | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
|
| | | Learning outcomes |
- EC
| The holder of the degree applies acquired knowledge independently. (Self-direction and entrepreneurial spirit) | - EC
| The holder of the degree shows autonomy in implementing scientific research methods. (Research skills)
| - EC
| The holder of the degree shows autonomy in analysing, interpreting, evaluating and reporting research results. (Research skills)
| - EC
| The holder of the degree integrates the perspective of stakeholders when making decisions in an organizational context. (Stakeholder awareness) | - EC
| The holder of the degree formulates proposals for the improvement of business processes in an international context. (Stakeholder awareness) | - EC
| The holder of the degree reflects on the conduct of business from an ethical and sustainability perspective. (Stakeholder awareness)
| - EC
| The holder of the degree is able to address complex management issues from a strategic and conceptual perspective by adapting and applying management paradigms in general, and in particular paradigms from their specialization. (Problem solving capacity) |
|
| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
|
|
In this course, students learn to assess and evaluate the efficiency of policy measures. Economic valuation methods and approaches are used to select optimal projects or proposals for both private sector firms and public authorities. The focus will be on quantifying direct effects (employees, investments, time, safety, health, climate, etc.) on stakeholders both in- and outside private and public organizations. For these purposes, economic evaluation tools such as cost-benefit analysis, cost effectiveness analysis and multi-criteria analysis will be applied. The theoretical and practical advantages and disadvantages of these various methods will be discussed by means of practical examples. Furthermore, the extent to which the correct use of these methods contributes to the decision-making process of governments and private sector firms will be discussed. In addition, dealing with various types of uncertainties throughout the analysis will be discussed and will learn to use sensitivity analysis (e.g. Monte Carlo simulation).
|
|
|
|
|
|
|
|
|
Lecture ✔
|
|
|
|
Response lecture ✔
|
|
|
|
Small group session ✔
|
|
|
|
|
|
|
|
Case study ✔
|
|
|
|
Exercises ✔
|
|
|
|
Group work ✔
|
|
|
|
Presentation ✔
|
|
|
|
Report ✔
|
|
|
|
Period 1 Credits 6,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 10 % |
|
|
|
|
|
| Written exam | 90 % |
|
|
| Multiple-choice questions | ✔ |
|
|
|
|
|
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | The exam counts for 100% of the evaluation. |
|
|
|
|
|
| Compulsory course material |
| |
Presentations and additional literature will be provided via BlackBoard. |
|
|
|
|
|
1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.16.9, section 2. |
3 Education, Examination and Legal Position Regulations art.15.1, section 3.
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| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
|