Studyportals
M.Sc. On Campus

Data Engineering

Uppsala University

24 months
Duration
14421 EUR/year
Free
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Data Engineering program from Uppsala University will provide you with the knowledge, tools and skills to succeed in a wide range of different positions that involve the analysis of large amounts of data. 

Overview

The Data Engineering program from Uppsala University provides the general skills needed by a data scientist, as well as advanced skills in data mining and data engineering. 

For instance, you will learn how to process data on distributed and high-performance computer systems. In addition to learning how to extract knowledge from large amounts of information, you will also gain a robust understanding of both the mathematical foundations of data science and its computational aspects.

As part of the programme, you will also be given an opportunity to delve into the ethical and legal aspects of data science. This is important not least due to the fact that many large-scale societal issues, be they social welfare, climate change, healthcare or democracy, necessitate the use of data-driven methods and AI.

Career:

Data science as a profession has long enjoyed strong growth, but due to the ever-increasing level of automation and digitalisation, several independent analysts are predicting even greater demand in the field

If you so desire, you may also choose to remain in academia and pursue a PhD in data science. As mentioned, the faculty hosts several research groups, and doctoral positions are sometimes offered.

Programme Structure

Curriculum:

  • The programme consists of four main parts. At first, you and your fellow students may have different backgrounds, and therefore you can choose courses to complete your basic knowledge in computer science and mathematics. 
  • You can also choose to take core data science courses, for example on data ethics and law, statistical machine learning, the theoretical foundations of data science and data engineering.
  • From the end of the first year, you choose courses within the specialisation data engineering, covering topics such as data mining, distributed computing and security. 
  • The programme also includes practical activities: a project course done at a research lab or in collaboration with students from other programmes, and a master's thesis at a company or research lab.

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Credits

120 alternative credits

Delivered

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:

  • 80 credits in computer science and mathematics;
  • 15 credits in computer science including 5 credits in introductory programming and 5 credits in introductory scientific computing;
  • 25 credits in mathematics including linear algebra and single variable calculus; and
  • 5 credits in statistics and probability.

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

    14421 EUR/year
    Tuition Fee
    Based on the tuition of 28843 EUR for the full programme during 24 months.
  • EU/EEA

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

NON-EU/EEA

  • Application Fee: SEK 900
  • Tuition fee, first semester: SEK 72500
  • Tuition fee, total: SEK 290000

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.

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.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

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Data Engineering
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