Data science for business (5082) |
| Language of instruction : English |
| Credits: 6,0 | | | | | Period: semester 2 (6sp) | | | | | 2nd Chance Exam1: Yes | | | | | Final grade2: Numerical |
| | | Exam contract: not possible |
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Sequentiality
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Mandatory sequentiality bound on the level of programme components
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Following programme components must have been included in your study programme in a previous education period
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Managing data, decisions and processes (5081)
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12.0 stptn |
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- The student has a basic understanding of business operations and business processes
- The student has a basic understanding of business information systems
- The student must be able to familiarize themself with a new business information system
- The student is able to perform simple operations on a dataset
- The student can achieve a balanced division of tasks within a team
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This course focuses on the managerial/business aspect of Data Science and will consist of three modules:
- The first module introduces the domain of Business Intelligence, which covers how data can be transformed into actionable business insights that inform business decisions.
- The second module focuses on Data Science for Business in practice, considering the connection between Data Science and Business Strategy, as well as recent trends in Data Science for Business.
- The third module is a project in which students will apply knowledge and competencies acquired in the other modules, as well as the course 'Managing Data, Decisions and Processes' (5081), to a business case.
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Lecture ✔
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Project ✔
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Response lecture ✔
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Small group session ✔
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Exercises ✔
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Group work ✔
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Paper ✔
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Presentation ✔
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Period 2 Credits 6,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 35 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Conditions transfer of partial marks within the academic year | Only if the student has passed the project (which includes the written
evaluation during the teaching period and the oral evaluation during the
teaching period), this partial mark can be retained in the academic
year. In that case, the partial mark will be retained automatically,
unless the student waives it in writing to the coordinating lecturer
within 7 calendar days after the announcement of the exam results. |
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| Oral evaluation during teaching period | 15 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Conditions transfer of partial marks within the academic year | Only if the student has passed the project (which includes the written
evaluation during the teaching period and the oral evaluation during the
teaching period), this partial mark can be retained in the academic
year. In that case, the partial mark will be retained automatically,
unless the student waives it in writing to the coordinating lecturer
within 7 calendar days after the announcement of the exam results. |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | Students can only pass the course if they have participated in all parts of the evaluation. |
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| Consequences | Failure to participate in any part of the evaluation results in an unwarranted absence for the entire course. |
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| Additional information |
- This course uses peer evaluation to gain insight into team functioning during the project (mandatory participation). The results of the peer evaluation may lead to a differentiation in the scoring of individual team members according to their contribution.
- The partial mark of the written exam cannot be transferred within the academic year.
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | For the second examination opportunity, a project has a weight of 50% in
the total score. If the score of the project from the first examination
opportunity was retained, this score (based on the written evaluation
during the teaching period and the oral evaluation during the teaching
period) is carried over and no new project is required. If the score of
the project from the first examination opportunity was not retained, a
new project is defined. A written examination (closed book) has a weight
of 50% in the total score of the second examination opportunity. |
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| Compulsory textbooks (bookshop) |
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| Compulsory course material |
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- References to study materials will be provided on Blackboard.
- This course will make use of 'DataCamp For The Classroom', offered by DataCamp (www.datacamp.com).
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Learning outcomes Master of Business Administration
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- EC
| EC 14: The holder of the degree is able to apply in-depth academic insights from organisational and management sciences and relevant supporting and/or related disciplines in the analysis of such concrete questions of business management and formulate recommendations. (Problem-solving capacity) |
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Master of Business Economics
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- EC
| EC 15: The holder of the degree is able to apply in-depth insights and argumentation methods from business science and relevant supporting and/or related disciplines in solving strategic policy issues. (Problem-solving capacity) |
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Master of Management
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- EC
| EC 13: The holder of the degree is able to formulate, analyze, and answer complex management issues within a VUCA world from a systems perspective, providing innovative and scientifically grounded recommendations using strategic and conceptual perspectives. |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
| Offered in | Tolerance3 |
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Exchange Programme Business Economics
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J
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Specialisatie Data Science for Business verplicht
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J
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.15.1, section 3. |
3 Education, Examination and Legal Position Regulations art.16.9, section 2.
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