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Statistical Methods in Physics

How do we learn from experimental data in a proper way? In this course, you will learn the concepts of probability theory and statistical inference used to interpret experimental data. You will address the problems both from a theoretical perspective and with practical labs.

Information for admitted students autumn 2024

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.


Checklist for admitted students

  1. Activate your university account

    The first step in being able to register and gain access to all the university's IT services.

  2. Register at your department

    Registration can be done in different ways. Read the instructions from your department below.

  3. Read all the information on this page

    Here you will find what you need to know before your course or programme starts.


Your seat may be withdrawn if you do not register according to the instructions provided by your department.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. 

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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.

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Making progress in science depends on our ability to obtain meaningful and reliable insights into experimental data. In this course, you will learn about insightful data analysis via statistical inference. The course provides an overview of the concepts of probability theory and the extraction of knowledge from measurements or observation. You will learn how to robustly extract information from uncertain observations, e.g. the separation of signals from backgrounds in particle or astrophysical applications. The course discusses various approaches to statistical data analysis, ranging from the “Maximum Likelihood” and the “Least Square” methods to Markov Chain Monte Carlo techniques. The course will provide a thorough epistemological background by covering major topics of statistical analyses such as estimation, confidence intervals, covariance matrices, hypothesis testing and the detection of signals, the treatment of systematic and stochastic uncertainties. The course will be accompanied by a practical lab.

If you want to learn more after this course, the course "Physical Measurement Techniques" is recommended as a continuation.

  • Course structure

    This is a second cycle course given at half speed during daytime. This course can also be taken as a third cycle course.

    Teaching format

    The teaching consists of lectures, group education, exercises and practical labs.


    The course is examined through written and oral examinations and lab reports.


    Jens Jasche, phone: +468 5537 8037, e-mail:
    Tim Linden, phone: +468 5537 8617, e-mail:

  • 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.

    • "Statistical data Analysis" by Glen Cowan, Oxford Science Publications, Clarendon Press, Oxford 1998
    • "Statistical Methods in experimental physics", 2nd edition, Fred James, World Scientific Publishing, ISBN-13 978-981-256-795-6
  • Course reports

  • Contact

    Course coordinator and teacher:
    Jens Jasche, phone: +468 5537 8037, e-mail:
    Tim Linden, phone: +468 5537 8617, e-mail:

    Laboratory supervisor and exercises:
    Peueh-Leng Tan, e-mail:


    Academic advisor at the Department of Physics:

    Student office: