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

In this course, we will introduce the students
into the world of analytics and business
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

  • 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

As the main course assignment, the students are
asked to design their own business intelligence
system from scratch. In theory and with unlimited

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


  • Karlsson Jonny
  • Wikström Robin


Karlsson Jonny

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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