Predictive Analytics - Specialization

 

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 specialization, each allowing you to become a specialist in certain areas:

  • Predictive Analytics
  • Prescriptive Analytics
  • Transport Analytics

The specialization in Predictive Analytics will equip the students with advanced skills in predictive modelling. You can 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 specialization in 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

Autumn start

Polytechnical foundation
Programme specific courses
Thesis
Electives
1.Semester
42577
Introduction to Business Analytics
5 point
42500
Innovation in Engineering (Polytechnical... Innovation in Engineering (Polytechnical Foundation)
5 point
12106
Quantitative Sustainability... Quantitative Sustainability (Polytechnical Foundation)
5 point
Electives I
Electives
15 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
5 point
Electives II
Electives
10 point
4.Semester
Thesis
Thesis
30 point

Spring start

Spring 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.

Polytechnical foundation
Programme specific courses
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 (Polytechnical... Innovation in Engineering (Polytechnical Foundation)
5 point
12100
Quantitative Sustainability... Quantitative Sustainability (Polytechnical Foundation)
5 point
Electives I
Electives
5 point
2.Semester
63851
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

Specializations are merely recommended ways of choosing the courses in the curriculum. Applicants are not admitted to a specialization but to the programme and it is possible to choose among all the courses in the curriculum following the directions given. However, if a specialization has been fulfilled the title of the specialization may be added to the diploma.