The course takes place in period

2 (2019-10-28 to 2019-12-31)


Professional studies

Teaching language


Type of course


Cycle/level of course


Recommended year of study


Total number of ECTS

5 cr

Competency aims

With the explosion of "Big Data" problems, analytics has become a particularly intriguing field in many scientific areas as well as in marketing, finance and other business disciplines. People with analytical skills are in high demand. Or, one could even claim that everyone participating in modern work settings, need to understand what data (and analytics) can do. In this course, we will introduce the students into the world of analytics and business intelligence. Concentrating on the application of analytics and decision making in practice. The project task will be to create a business intelligence system from scratch (in theory).

Learning outcomes

After completing this course the students should be able to - understand the role of data analytics in supporting decisions - understand how businesses today are utilizing analytics - understand the limitations and benefits of analytics and business intelligence - have a basic understanding of the available tools today. I.e. what is possible today and what is only fantasies.

Course contents

The course consists of lectures circling around the topics "analytics and business intelligence in todays organisations" and "how analytics can support decision making" During the course, the students are encouraged to complete several self study tasks. Basically by reading and viewing material and reflecting on them. As the main course assignment, the students are asked to design their own business intelligence system from scratch. In theory and with unlimited resources.

Prerequisites and co-requisites

Entry level, no previous knowledge needed.

Study activities

  • Lectures - 10 hours
  • Excursions and demonstrations - 2 hours
  • Individual- and group instruction - 10 hours
  • Project- and production work/artistic activities - 60 hours
  • Individual studies - 43 hours
  • Internet-based studies - 10 hours


  • Total workload of the course: 135 hours
  • Of which autonomous studies: 135 hours
  • Of which scheduled studies: 0 hours

Mode of Delivery

Participation in tuition

Assessment methods

Essays, reports, productions and portfolio

Assessment requirements

To pass the course the student should, during the project work, show that the student understands why and how analytics and business intelligence is used in organizations of today. For higher grades, there is an need to show increased awareness about how these systems are technically and theoretically designed and implemented.


  • Karlsson Jonny
  • Wikström Robin


Karlsson Jonny

Home page of the course

Group size

No limit (30 students enrolled)

Assignments valid until

12 months after course has ended

Course enrolment period

2019-10-14 to 2019-11-10

Assessment methods

Date will be announced later - Reports and productions
Room reservations
Date Time Room Title Description Organizer
2019-10-23 15:00 - 18:00 F367 Design av analytiska system
2019-10-29 09:00 - 12:00 F367 Design av analytiska system
2019-11-11 09:00 - 12:00 F367 Design av analytiska system
2019-11-26 15:00 - 18:00 E387 Design av analytiska system Deltagare: Robin Wikström Karlsson Jonny
Wikström Robin
2019-12-12 14:00 - 17:00 E384 Design av analytiska system Förelsäningen hålls i F-Secures utrymmen. Karlsson Jonny

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