| Language of instruction : English |
| Exam contract: not possible |
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Sequentiality
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Advising sequentiality bound on the level of programme components
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Group 1 |
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Following programme components are advised to also be included in your study programme up till now.
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Applied econometrics (3882)
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3.0 stptn |
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Or group 2 |
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Following programme components are advised to also be included in your study programme up till now.
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Applied econometrics (4849)
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6.0 stptn |
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| Degree programme | | Study hours | Credits | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | Master Business Economics - minor Policy Management | Compulsory | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical |  |
| master TEW-BM | 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)
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| The holder of the degree works in a team and displays leadership skills with a multidisciplinary approach to a business problem. (Teamwork) | - EC
| The holder of the degree communicates clearly and correctly in writing and orally, in a business and academic context, if necessary supplemented with visual support. (Communication) | - 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 is able to engage in conceptual and analytical thinking to solve strategic policy issues, drawing on business conceptual frameworks. (Problem-solving capacity) | - EC
| The holder of the degree is able to respond to changing environmental factors that have an impact on an organisation and its policy. (Programme-specific competencies) |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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The student can interpret the results of OLS and fixed effects estimations.
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The student can compile and clean a dataset.
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The student can analyze a data set using an appropriate regression technique (or other statistic methods).
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The primary goal is to provide students with a solid theoretical and practical basis for (1) the interpretation of empirical economic studies and (2) independently solving economic issues using quantitative techniques. There is a dual focus on core economic topics and quantitative techniques, in such a way that each lecture addresses a specific quantitative method, which is subsequently applied to different macro- and micro-economic topics. As such, the economic topics are a constant throughout the course. After each lecture, there will be an interactive computer session that enables students to work with datasets related to the topics discussed throughout the course. At the end of the course, the student should be able to perform empirical analyses independently and to critically evaluate economic studies.
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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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Discussion/debate ✔
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Exercises ✔
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Period 1 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 20 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Oral evaluation during teaching period | 5 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | Participation in all parts of the evaluation is necessary. |
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| Consequences | If the student doesn't participate in all parts of the evaluation, it results in an 'A-unjustified absence' classification. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Exchange Programme Business Economics | Optional | 162 | 6,0 | 162 | 6,0 | Yes | Yes | Numerical | |
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The student can interpret the results of OLS and fixed effects estimations.
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The student can compile and clean a dataset.
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The student can analyze a data set using an appropriate regression technique (or other statistic methods).
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|
The primary goal is to provide students with a solid theoretical and practical basis for (1) the interpretation of empirical economic studies and (2) independently solving economic issues using quantitative techniques. There is a dual focus on core economic topics and quantitative techniques, in such a way that each lecture addresses a specific quantitative method, which is subsequently applied to different macro- and micro-economic topics. As such, the economic topics are a constant throughout the course. After each lecture, there will be an interactive computer session that enables students to work with datasets related to the topics discussed throughout the course. At the end of the course, the student should be able to perform empirical analyses independently and to critically evaluate economic studies.
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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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Discussion/debate ✔
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Exercises ✔
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Period 1 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 20 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Oral evaluation during teaching period | 5 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | Participation in all parts of the evaluation is necessary. |
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| Consequences | If the student doesn't participate in all parts of the evaluation, it results in an 'A-unjustified absence' classification. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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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
| 5.1 The educational master is a domain expert ECO: the EM can answer management questions, strategic policy questions or business economic problems using conceptual, business economic thinking frameworks or from a practice-oriented perspective in relation to the functional management domains. | - EC
| 5.2. The educational master is a domain expert ECO: the EM demonstrates independence in carrying out a literature review, preparing a research plan, implementing scientific research methods and analysing, interpreting and evaluating research results within business economics. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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The student can interpret the results of OLS and fixed effects estimations.
|
|
The student can compile and clean a dataset.
|
|
The student can analyze a data set using an appropriate regression technique (or other statistic methods).
|
|
|
|
The primary goal is to provide students with a solid theoretical and practical basis for (1) the interpretation of empirical economic studies and (2) independently solving economic issues using quantitative techniques. There is a dual focus on core economic topics and quantitative techniques, in such a way that each lecture addresses a specific quantitative method, which is subsequently applied to different macro- and micro-economic topics. As such, the economic topics are a constant throughout the course. After each lecture, there will be an interactive computer session that enables students to work with datasets related to the topics discussed throughout the course. At the end of the course, the student should be able to perform empirical analyses independently and to critically evaluate economic studies.
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|
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Lecture ✔
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|
|
|
Response lecture ✔
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|
Small group session ✔
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|
|
|
|
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|
Case study ✔
|
|
|
|
Discussion/debate ✔
|
|
|
|
Exercises ✔
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|
|
|
Period 1 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 20 % |
|
| Transfer of partial marks within the academic year | ✔ |
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|
|
|
|
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| Oral evaluation during teaching period | 5 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | Participation in all parts of the evaluation is necessary. |
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| Consequences | If the student doesn't participate in all parts of the evaluation, it results in an 'A-unjustified absence' classification. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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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 |
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