Statistics and Data Analysis for Business Administration


The course provides knowledge of classical and modern statistical methods for data analysis as well as its theoretical foundations. Central is understanding of the entire process of analysis from data sources and data collection, data management, estimation, inference, prediction and practical applications. Great emphasis is placed on practical data handling, visualization and analysis through programming in R. Throughout, emphasis is placed on using a critical approach when using statistical methods and interpreting results.

The course is given at day time, full time.

The course forms part of the Bachelor's Programme in Business Administration, but you can also study it as a freestanding course.


Teaching Format

The teaching consists of lectures, exercises, and computer exercises.

Course information

Course description ht-25 pdf, 175.5 kB. (167 Kb)

More information for registered students will be found in Athena.

Teachers fall 2025

Course coordinator

Akram Mahmoudi

Ulf Högnäs

You will find their reception hours in the link above. If you want to visit outside of their reception hours, you are welcome to e-mail them for an appointment.

Teaching assistants fall 2025
Alexander Holmskär
Jiazhen Jing
Fasna Kottakkunnan
Mina Poshtvar
Ralf Xhaferi

Assessment

The course is examined through an individual exam and two home assignments, carried out in groups.


The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.


Note that the course literature can be changed up to two months before the start of the course.


Course reports are displayed for the three most recent course instances.








If you have questions about the course, please contact the course coordinators:

Teachers fall 2025

Course coordinators

Akram Mahmoudi

Ulf Högnäs

You will find the teacher´s reception hours in the link above. If you want to visit outside of their reception hours, you are welcome to e-mail him for an appointment.

If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.