Predictive Analytics

 

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
  • Analytics in Finance

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 general competencies, the study line Predictive Analytics requires you to select technical specialization 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 F4B (Fri 8-12)

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

General competences
Technological specialization
Thesis
Electives
1.Semester
42577
Introduction to Business Analytics
5 point
42500
Innovation in Engineering
5 point
Electives I
Electives
20 point
2.Semester
42576
From Analytics to Action
5 point
42578
Advanced Business Analytics
5 point
42186
Model-based machine learning
5 point
02417
Time Series Analysis
5 point
02443
Stochastic Simulation
5 point
42137
Optimization using metaheuristics
5 point
3.Semester
02456
Deep learning
5 point
02427
Advanced Time Series Analysis
10 point
Electives II
Electives
10 point
42429
Project Management
5 point
4.Semester
Thesis
Thesis
30 point

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.

General competences
Technological specialization
Thesis
Electives
1.Semester
02417
Time Series Analysis
5 point
42137
Optimization using metaheuristics
5 point
02443
Stochastic Simulation
5 point
42500
Innovation in Engineering
5 point
Electives I
Electives
10 point
2.Semester
42429
Project Management
5 point
42577
Introduction to Business Analytics
5 point
02427
Advanced Time Series Analysis
10 point
Electives II
Electives
10 point
3.Semester
42578
Advanced Business Analytics
5 point
42576
From Analytics to Action
5 point
42180
Quantitative modelling of behaviour
5 point
42186
Model-based machine learning
5 point
Electives III
Electives
10 point
4.Semester
Thesis
Thesis
30 point