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Statistics: Data Visualisation

Course • Bachelor's level • 4 credits

How do you create nice and communicative charts? A picture is after all worth a thousand words. In this course, you will learn the basics of visualising data, both in theory and practice.

Application dates

Start

Spring 2027

Level

Bachelor's

Language

English

Place of study

Distance learning

Course code

STAE04

Application dates

In this course, you will learn how to construct graphs and visualisations according to the theory Grammar of Graphics. You will also learn how to create visualisations yourself using the software R and its package ggplot2. A central part of creating visualisations is making choices. Through the choices you make, your visualisation will be more or less intelligible and also highlight different aspects of the data. An important element of the course is therefore to review visualisations by other course participants.

Topics covered in the course include:

  • introduction to R and ggplot2
  • choice of colour, symbols, scales, and perspective (2D, 3D)
  • summation and abstraction (many observations)
  • interactive visualisations
  • maps and spatial data
  • visualisation of statistical models.

Course syllabus

The syllabus contains the formal and legal details of the entire course. It’s a legal document outlining the course structure and requirements, intended mainly for administrative use.

Syllabus (PDF, new tab)

Course literature

The course literature listed may be updated up to eight weeks before the course begins.

Course literature STAE04 (PDF, New tab)

You'll take charge of your own learning by studying the course literature, supported by online resources including recorded video lectures. You will independently complete exercises involving the creation of various visualisations using R. Assessment is based on a series of written assignments in which you present and justify the visualisations you have produced. A key component of the course peer reviewing, where you review visualisations created by fellow participants and respond constructively to their feedback on your visualisation.

The ability to create high-quality charts and visualisations will benefit you in almost every profession.

Spring Semester 2027

Will open for applications 15 September.

Start

18 January 2027

18 Jan 2027

End

28 March 2027

28 Mar 2027

Form

Distance learning

Pace

Part time

Language

English

City

Lund

When and how to apply

There are different application rounds depending on the type of studies you are applying to, and whether you are an EU/EEA citizen or non-EU/EEA citizen. Before applying, make sure to carefully review the entry requirements and read the how to apply guide, including document instructions.

Entry requirements

General eligibility and knowledge corresponding to STAA41 Statistics: Basic course 1, 15 ECTS credits, or STAA36 Statistics: Fundamentals of Business Analytics, 7,5 ECTS credits.

Selection criteria

Seats are allocated according to the following: The general average (GPA) of your higher secondary school leaving certificate: 34 %, The Swedish national university aptitude test: 34 %, number of previous ECTS at the application deadline (up to 165): 32 %.

Specific documents

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 8,667
First payment: SEK 8,667

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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

Academic advisor Statistics

Email: studievagledare@stat.lu.se

Phone: +46 46 222 89 21