Course code: STA-3002

Multivariable Statistical Analysis

Apply between July 20 and August 9
Campus Tromsø
Semester / Year Autumn 2026
Duration 1 semester
Level Høyere grads nivå
Credits 10

About the course

The course is included in the study program Mathematical Sciences - master. It may be taken independent of study program upon approval of the Department of mathematics and statistics. This course is also available for inbound exchange students.

The course builds on STA-2002 Theoretical Statistics and gives a thorough introduction to the multivariate normal distribution, as well as estimation of its parameters and related inference. This includes simultaneous inference for mean vectors, testing of general linear hypotheses and multiple linear regression analysis. Further, the course covers topics like principal component analysis, factor analysis and classification methods.

Admission requirements

Bachelor of science degree in statistics/mathematics or equal.

Application code is 9371.

Objectives of the course

The student shall

  • obtain a thorough introduction to the multivariate normal distribution, as well as estimation of its parameters.
  • obtain solid understanding of various areas in multivariable statistical analysis, such as the classification problem, testing of general linear hypotheses, principal component analysis, factor analysis and various regression techniques.
  • be able to use these concepts to solve specific problems.

Prerequisites

Anbefalte forkunnskaper

STA-2002 Theoretical Statistics

Credit reduction

If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:

  • S-311 Multivariate statistical analysis 10 ects
  • STA-8002 Multivariable Statistical Analysis 10 ects

Teaching methods

The course consists of approx. 40 hours of lectures and approx. and 30 hours of coursework

Language of instruction and examination

The language of instruction and the syllabus is English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.

Schedule

The schedules are normally finalized and published well in advance of the start of the semester, often a few weeks beforehand. This gives students the opportunity to organize their studies and prepare for upcoming activities.

It is recommended to check the schedule regularly, as changes may occur.

Information to incoming exchange students

This course is open to incoming exchange students.

Study level: Master’s

Admission prerequisites:
This course has admission prerequisites, which are listed under the Admission requirements section. Please review this information carefully before adding the course to your Learning Agreement.

For details on how to apply for exchange, course selection guidelines, or to contact the Incoming Admissions Team, please visit: Admissions for Student Exchange.

Examination

Exams
Oral exam Duration: 30 Minutes Grade:
A–E, fail F
Coursework requirements

To take an examination, the student must have passed the following coursework requirements

Coursework Grade:
Approved – not approved

Everything you need to know about before, during, and after the exam; registration, absence, appeals, and diplomas: UiT Exams homepage

More info about the coursework requirements

Submission of up to 4 mandatory assignments.

Re-sit examination

A re-sit exam will not be held.

Previous years and semesters

Kontakt oss

Responsible unit: Institutt for matematikk og statistikk
Author image
Professor
sigrunn.sorbye@uit.no
Rådgiver
line.s.karlsholm@uit.no