Business Intelligence and Analytics


Course Objective

Academic & Research skills
- Using business intelligence and data mining suites to create insight
from data and tackle business problems

Bridging theory and practice
- Defining, describing and recalling the basic concepts, constituent
components, principles and theories underlying the use and the
deployment of business intelligence & analytics solutions

- Choosing, applying, and evaluating business intelligence & analytics
concepts, principles and solutions to solve business problems

Course Content

Dealing with the overabundance of data and the ability to transform data
into insights have become critical success factors for organizations.

This course offers the handles that are needed to unleash the potential
of data, and business intelligence and analytics solutions in order to
create competitive advantage. The course primarily has a managerial
focus. The students will acquire hands-on experience with trending BI&A
technologies to learn how to use their features and characteristics in
practice. Our partners from the industry and the business consulting
sector will be closely involved in the course, sharing their insights
and experience during several interventions.

Keywords in this area are ‘big data’, ‘data science’, ‘business
intelligence’, ‘data mining’ and ‘data-driven decision making and

Teaching Methods

Lectures, tutorials, company visits

Method of Assessment

Written exam – Individual assessment

Interim Assignment(s) / Tests:
Hands-on analytics quizzes – Individual assessment


This course is article based. Readings are specified in the course

Explanation Canvas

Use of Canvas is mandatory. All the updates regarding the course
content, schedules, masterclass enrolments, quizzes and grading will be
communicated on Canvas.

Recommended background knowledge

Knowledge of the fundamentals of statistics.
Recommended knowledge Elementary course on (Management) Information
Systems (for example: Laudon, K.C. & Laudon, J.P. (2016). Essentials of
MIS (12th edition).

BK: 2.1 Business Information Technology
IBA: 2.1 Business Information Systems

General Information

Course Code E_IBK3_BIA
Credits 6 EC
Period P4
Course Level 300
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator dr. A.C. Smit
Examiner dr. A.C. Smit
Teaching Staff dr. M.G.A. Plomp
dr. A.C. Smit
M. Shafeie Zargar

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Seminar, Instruction course, Lecture, Response class
Target audiences

This course is also available as: