Business Intelligence and Analytics

Course

URL study guide

https://studiegids.vu.nl/en/courses/2024-2025/E_IBK3_BIA

Course Objective

Academic & Research skillsUsing business intelligence and data mining suites to create insight from data and tackle business problems Bridging theory and practiceDefining, describing and recalling the basic concepts, constituent components, principles and theories underlying the use and the deployment of business intelligence & analytics solutionsChoosing, 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 innovations’

Teaching Methods

Lectures, tutorials, company visits

Method of Assessment

Group and individual assessment

Literature

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

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 Management van Informate en Technologie IBA: 2.1 Business Information Systems

Explanation Canvas

Use of Canvas is mandatory. All the updates regarding the course content, schedules, masterclass enrolments, and grading will be communicated on Canvas.
Academic year1/09/2431/08/25
Course level6.00 EC

Language of Tuition

  • English

Study type

  • Premaster
  • Bachelor