Studyportals

Applied Information and Data Science

Lucerne University of Applied Sciences and Arts

M.Sc. On Campus
24 months
Duration
1502 EUR/year
1502 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The multidisciplinary Master’s programme in Applied Information and Data Science prepares students for the technical and managerial challenges of the digital economy. The course opens up a wide range of employment and development opportunities in all data-related functions, business fields, companies and organisations. 

Overview

Why choose a Master's Degree in Applied Information and Data Science at Lucerne University of Applied Sciences and Arts?

  • Data is the key resource of the 21st century, and unleashing its full economic and social potential calls for individuals with outstanding entrepreneurial, technical and analytical skills that are of direct relevance for the applied fields. The Master's Degree in Applied Information and Data Science is a joint initiative of four departments of Lucerne University of Applied Sciences and Arts (Business, IT, Design and Art, Architecture and Engineering) and gives our students access to all the expertise within the university.

Course with a strong applied focus

  • The Master's programme offers academically sound technical and management training with a strong emphasis on the applied fields, whereby students learn to adapt cutting-edge data technologies to situations that are directly relevant to practitioners. While doing so they maintain a full overview of all steps in data processing – from developing a concept for data use, to acquiring the data, all the way to applying the extracted knowledge. The Master's programme focuses on innovative forms of data use rather than on the statistical, IT-based principles of modern data technologies and analytical methods.

Flexible planning of coursework (flexible model)

  • The Master's programme offers students the possibility to earn a Master's degree over a flexible period. The course generally takes four semesters to complete; however, it can be extended all the way to eight semesters. The programme combines various forms of learning (e-learning, guided self-study and self-directed learning) that allow for more flexible planning of the coursework. Students can begin their studies in the autumn or spring semester.

Programme Structure

Graduates are able to

  • recognise the economic and social potential in data,
  • access, consolidate, organise and prepare data from different sources for analysis,
  • recognise patterns in complex data sets to use for predicting future events and making important management decisions,
  • extract information from data and visualise and communicate it effectively to a broad audience,
  • use the potential of data in accordance with legal and ethical standards.

Key information

Duration

  • Part-time
    • 24 months
    • Flexible

Start dates & application deadlines

Language

English

Credits

120 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

The course is open to all graduates with a Bachelor's degree from a university or a university of applied sciences. Admission assumes that applicants have a strong interest in data technologies and a pronounced affinity for analytical problems.Additional prerequisites include:

  • a positive evaluation of the application,
  • the ability to do university-level coursework in English and in German,
  • willingness to fill any gaps in basic knowledge of statistics and computer science during the assessment semester (first semester).

Tuition Fee

  • International

    1502 EUR/year
    Tuition Fee
    Based on the original amount of 751 EUR per semester and a duration of 24 months.
  • EU/EEA

    1502 EUR/year
    Tuition Fee
    Based on the original amount of 751 EUR per semester and a duration of 24 months.

800 CHF

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Applied Information and Data Science
-
Lucerne University of Applied Sciences and Arts

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