The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Mathematical Statistics: Linear and Logistic Regression

Course • Master's level • 7.5 credits

Learn to build and interpret statistical models used in research, medicine, and social analysis – combining theory with practical tools.
Application dates

Start

Spring 2026

Level

Master's

Language

English

Place of study

Lund

Course code

MASM22

Application dates

This course provides advanced knowledge in linear and logistic regression – two key methods in statistical modeling. You will learn to analyze both continuous and discrete data, understand various estimation techniques, and interpret relationships between variables. The course can be taken as an elective course or as a stand-alone course.

You will learn how to construct statistical models for real-world problems, interpret the results, and assess the reliability of the models. The course also teaches you how to use statistical software and how to present your analyses both in writing and orally. You will develop your ability to critically evaluate statistical methods and reflect on their limitations. The course is taught in English.

Teaching includes lectures, exercises, computer labs, and project work. Participation in labs and projects is mandatory and gives you hands-on experience in analyzing regression data using statistical software. For example, you will work with identifying outliers, interpreting residuals, and testing different regression models.

Assessment is both written and oral. You will complete projects where you analyze real problems, write reports, and present your conclusions. You will also take part in peer review of other students’ work. The course concludes with an oral exam. To pass, you must participate in all mandatory components and successfully complete both the projects and the exam.

Spring Semester 2026

This application round is primarily for local applicants. Late applications are being accepted.

Apply now

Start

23 March 2026

23 Mar 2026

End

7 June 2026

7 Jun 2026

Form

Normal learning

Pace

Part time

Language

English

City

Lund

Apply now

Late applications are being accepted

The course has extended their application deadline. All late applications are prioritised by the date that they are received. Only applicants who are qualified with a completed application will be considered.

Prerequisites

60 ECTS credits, and knowledge corresponding to MASA01 Mathematical Statistics: Basic Course, 15 credits, MASB02 Mathematical statistics for chemists, 7.5 credits, MASB03 Mathematical statistics for physicists, 9 credits or MASB11 Biostatistics - basic course, 7.5 credits (i.e. an introductory course in mathematical statistics). English 6/English Course B.

Selection criteria

Seats are allocated according to: ECTS (HPAV): 100 %.

Tuition fees for non-EU/EEA citizens

Citizens of countries outside:

  • The European Union (EU)
  • The European Economic Area (EEA) and
  • Switzerland

are required to pay tuition fees. You pay an instalment of the tuition fee in advance of each
semester.

Tuition fees, payments and exemptions

Full programme/course tuition fee: SEK 21,250
First payment: SEK 21,250

Convert currency – xe.com

Note that you may also need to pay an application fee, or provide proof of exemption.

Application fee

No tuition fees for citizens of the EU, EEA and Switzerland

There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.

Contact us

Director of studies

Email: studierektor@matstat.lu.se