M.Sc. On Campus

Industrial Analytics

Uppsala University

24 months
13813 EUR/year
Tuition fee
Apply date
Start date


The Industrial Analytics program from Uppsala University is a unique interdisciplinary programme in industrial engineering and computer science.


The Industrial Analytics program from Uppsala University combines technology and management, which you will learn more about to be able to develop and optimise systems within various industrial domains such as manufacturing, medtech and healthcare systems. 

In addition, the programme integrates both theoretical and practical knowledge based on the latest research in industrial analytics. As a student in the programme, you can expect to gain a comprehensive understanding of how you can use operations management, operational research and computer science for the successful development and operation of modern industrial systems.


A number of reports from established organisations and companies have highlighted the demand in analytics. The reports have particularly emphasised a number of specialisations in digitalisation such as data handling, data mining, AI, machine learning, application development, but also "softer" aspects such as production management, sales, and innovations. 

Upon completion of your degree, you may choose to remain in academia and pursue a PhD, for instance in technical physics with specialisation in industrial engineering or computer science. Additional PhD study subjects may also be available at UU or other universities.

Programme Structure


  • The Master's Programme in Industrial Analytics comprises a set of courses that result in a Master's degree in industrial engineering or computer science. The choice between these two specialisations comes down to which courses you opt to take and are eligible for. As such, the programme has two main tracks: one oriented toward industrial engineering, and one toward computer science.
  • The programme intersperses industrial engineering courses with information technology courses throughout every semester. In addition, orientating and theoretical courses are combined, where methods such as digital models, simulation, optimisation, large-scale data management and data analytics, artificial intelligence and connectivity through the internet are used.
  • The programme concludes with a degree project, which can be done internally within any of the research groups of the Department, or externally within the private sector.

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


120 alternative credits


On Campus

Academic requirements

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

Other requirements

General requirements

A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university.Also required is:

  • 90 credits in mechanical engineering, industrial engineering, production engineering, automation engineering and/or computer science/information technology;
  • 5 credits in computer programming;
  • 20 credits in mathematics;
  • 5 credits in statistics and probability theory

Students are selected based on:

  • a total appraisal of quantity and quality of previous university studies; and
  • a statement of purpose (1 page).

Tuition Fee

To alway see correct tuition fees
  • International

    13813 EUR/year
    Tuition Fee
    Based on the tuition of 27627 EUR for the full programme during 24 months.
  • EU/EEA

    Tuition Fee
    Based on the tuition of 0 EUR for the full programme during 24 months.


  • Tuition fee, first semester: SEK 72,500
  • Tuition fee, total: SEK 290,000

Living costs for Uppsala

7620 - 12066 SEK /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


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.

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Industrial Analytics
Uppsala University


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