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.
Information for admitted students spring 2025
Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.
In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.
Follow the instructions on whether you have to reply to your offer or not.
universityadmissions.se
Checklist for admitted students
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Activate your university account
The first step in being able to register and gain access to all the university's IT services.
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Register at your department
Registration can be done in different ways. Read the instructions from your department below.
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Read all the information on this page
Here you will find what you need to know before your course or programme starts.
IMPORTANT
Your seat may be withdrawn if you do not register according to the instructions provided by your department.
Information from your department
On this page you will shortly find information on registration, learning platform, etc.
Welcome activities
Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department.
Find your way on campus
Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.
Read more
For new international students
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.
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Course structure
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 fall 2024 (170 Kb)
More information for registered students will be found in Athena.
Assessment
The course is examined through an individual exam and two home assignments, carried out in groups.
Examiner
Teachers fall 2024
Course coordinator
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 2024
Diana Djabang
Fredrik Stenkvist
Ralf Xhaferi -
Schedule
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. -
Course literature
Note that the course literature can be changed up to two months before the start of the course. -
Contact
If you have questions about the course, please contact the course coordinators:
Teachers fall 2024
Course coordinators
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.
