Aarhus Universitets segl

Visual analytics

Learn to make the complex data readable and to discover the unexpected in your data-set

Description of single subjects

The course, Visual Analytics, consists of three single subjects:

Data Analytics, 5 ECTS

This single subject covers data analytics foundations, methods, and practical tools for addressing real-world problems. It aims to familiarize students with basic data analysis techniques, emphasizing practical exercises to understand strengths and limitations. Topics include basic analysis methods, data preparation, and meaningful interpretation of algorithmic results.

Foundations of Data Visualization, 5 ECTS

This single subject focuses on developing participants' ability to articulate and analyze visualization problems in terms of data and objectives. The goal is for students to devise appropriate interactive visualization solutions. Covering fundamental topics in data visualization, the course equips participants to construct and justify their own data visualization solutions.

Research and Development Project in Visual Analytics, 5 ECTS

Through a larger project, participants will design and develop a visual analytics solution for a specific data analysis challenge, such as those encountered in their workplace or within open-source projects. This course aims to enable participants to apply visual analytics to complex, real-world data analysis problems that demand the integration of both data mining and data visualization.

Be aware that the course is still under development. Therefore, we reserve the right to make changes to the description of the course.

Time and place

The single subjects are structured as a combination of seminars and ICT-supported activities to make it possible to combine a busy work and family life with studies at the university.

The seminars include lectures, group work, and discussions. You can expect a weekly study commitment averaging 12-15 hours. This may vary depending on prerequisites and level of ambition.

Single subject (enkeltfag) Seminars with in-person attendance

Data Analytics (5 ECTS)

10 September 2024 – 11. October 2024

There will be a one-hour Kickoff Zoom call on 10 September 2024 from 7 pm - 8 pm.
This session aims to ensure everyone is well-informed and on the same page.

13 September 2024
27 September 2024
11 October 2024

Foundations of Data Visualization (5 ECTS)

25 October 2024 - 22 November 2024

25 October 2024
8 November 2024
22 November 2024

Research and Development Project in Visual Analytics (5 ECTS)

More information on extact times and locations will be available soon.

Please note that changes to the time and location of the instruction may occur.

Target group

This course is relevant for:

  • Developers of business intelligence (BI) solutions seeking to learn the intricacies of developing a complete BI solution.
  • Business intelligence architects aiming to acquire a profound understanding of the technologies and thereby design optimal solutions for specific business needs.
  • Data analysts, who analyze data on a daily basis, but want to acquire new knowledge about how the underlying technology functions.

Admission requirements

Admission requirements

Admission to the Master in IT, specialization in Software Construction, requires that the applicant holds one of the following:

  • A bachelor’s degree in computer science
  • A bachelor’s degree in software
  • A bachelor’s degree in electronics and IT
  • A bachelor’s degree in computer technology
  • A diploma in information technology (software construction)
  • A diploma in IT security
  • A diploma in software development
  • Bachelor of IT security
  • Bachelor of software development

Additionally, you must have at least two years of relevant professional experience after completing the qualifying education.

Relevant professional experience means that you should have been involved in the development or implementation of IT or have experience in teaching IT.

Specific admission requirements

Participants are expected to have a basic understanding of functions, distance measures, vector and matrix operations, probabilities, descriptive statistics (mean, std. deviation, etc.), and should be familiar with Python and basic web programming.

Based on individual assessment, exemptions from the admission requirements may be granted if it is deemed that you have equivalent educational prerequisites to complete the program. Exemption from the requirement of two years of relevant professional experience after completing the qualifying education is not possible.

If you do not meet the formal admission requirements, please contact Continuing Education for further guidance.

Documentation requirements

If this is your first time applying for admission to the Master in IT program, please attach the following documents:

  • Proof of qualifying examination, individual courses, etc. (bachelor's, master's, or diploma degree). Please include complete diplomas.
  • Documentation of a minimum of 2 years of relevant professional experience, e.g., confirmation from the employer, copies of employment contracts, pay stubs, annual statements (for self-employed individuals). We also need to assess the relevance of your professional experience.
  • In addition, please include a CV.
  • If you have been enrolled in Fagpakker at other universities or faculties, please attach a transcript of completed individual courses or course packages

How to apply for admission

You can apply for admission to either the entire course (fagpakke) or to the single subjects individually. Not all single subjects are offered simultaneously.

You apply through Aarhus University's digital application system, DANS.

Accessing the online application portal

Forgotten how you logged in to the portal? 

How to complete your application

We recommend having your documentation ready in PDF format when you start your application. Please see the "Documentation Requirements" section for details.

If you encounter issues applying through DANS, you can contact support through the help form. If you require phone support, please feel free to provide your phone number in the form.

Participation fee

The participation fee is invoiced in installments before the start of each semester. The payment covers the costs of instruction, three examination attempts per discipline, and administration. The invoice will be sent to your e-Boks, or to your e-mail, if you do not have access to e-Boks. 

In addition to the participant fee, expenses for books and potentially renting cloud resources should be anticipated

You will only obtain examination eligibility once your participant fee has been registered in our system

The participation fee allows you to attend classes during the period for which you are enrolled. If you wish to participate in the same course later, you must submit a new application for admission and pay the participation fee again. 

For the university's continuing education programs, participant fees are not subject to VAT and do not include expenses for instructional materials and meals.

The government subsidy for part-time education is determined in the annual budget. Therefore, Aarhus University reserves the right to make adjustments to the participant fee.

Refund policy

If you wish to withdraw after the course have started, the participation fee will not be refunded. If the withdrawal occurs before the start of the classes, you receive a refund of the participation fee.

In order to withdraw from a course, please contact Continuing Education per e-mail:  evu.nat-tech@au.dk. Remember to include your student number, full name and which course(s) you wish to withdraw from.