Predictive Analytics - Study line
Predictive Analytics
The tools used by an engineer in Business Analytics, are often grouped in:
- Descriptive Analytics, which can answer the question “What has happened?”
- Predictive Analytics, that focus more on finding out “What will happen?”
- Prescriptive Analytics, where actions are taken and thus answers the question “What should we do?”
The MSc in Business Analytics builds upon this concept and offers three optional study lines, each allowing you to become a specialist in certain areas:
- Predictive Analytics
- Prescriptive Analytics
- Transport Analytics
The study line Predictive Analytics will equip the students with advanced skills in predictive modelling. You will be able to apply cutting-edge machine learning tools to solve complex problems, involving noisy or incomplete data.
Aside from the mandatory courses from the mandatory core competence courses, the study line Predictive Analytics requires you to select the core competence courses in the following matter.
Select both of the following courses:
| 02456 | Deep learning | 5 | point | Autumn E2A (Mon 13-17) |
| 42186 | Model-based machine learning | 5 | point | Spring F5B (Wed 13-17) |
and at least two of the following courses
| 02417 | Time Series Analysis | 5 | point | Spring F4B (Fri 8-12) |
| 02443 | Stochastic Simulation | 5 | point | June |
| 02807 | Computational Tools for Data Science | 5 | point | E7 (Tues 18-22) |
| 42180 | Quantitative modelling of behaviour | 5 | point | Spring F3A (Tues 8-12) |
| 42417 | Simulation in Operations Management | 5 | point | June |
Example study plans
Predictive Analytics_skema
Thesis
Winter start is a bit more complex, as most introductory courses will only be available on the second semester. The following study plan is an example of how a to follow the Predictive Analytics study line with winter start.
Thesis