Project in Software Development in Image Analysis and Machine Learning, 15 credits

Academic year 2022/2023

  • Autumn 2022, 50%, Campus

    Start date: 29 August 2022

    End date: 15 January 2023

    Application deadline: 19 April 2022

    Application code: UU-11622 Application

    Language of instruction: English

    Location: Uppsala

    Registration: 28 July 2022 – 5 September 2022

Entry requirements: 120 hp including 40 hp in mathematics and 60 hp in computer science, including Deep Machine Learning for Image Analysis, and Data, Ethics and Law. Proficiency in English equivalent to the Swedish upper secondary course English 6.


If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.

Application fee: SEK 900

About the course

The course consists of a group work on a project from outside academia or research, as well as a number of lectures on topics related to the development of software products. Examples of topics for such lectures are: Framework for software development (for example, agile methods such as Scrum), project and time planning, IP and licensing issues, business plan and market analysis, quality systems, rules and regulations, oral and written presentation, ethics.

The lectures are intertwined with the introduction of the projects, problem analysis and planning. The scope of the projects is suitable for groups of approximately six students. After the introductory phase, the students complete the projects, and at the end of the course this is presented to the course participants and external project owners.

Ethical considerations are integrated into the projects, with the goal that you should develop the ability to participate constructively in dialogue on ethical issues and motivate your choices. At a project level, we can imagine multidisciplinary teams in collaboration with other programs, which in a suitable way combine skills.

More information


Department of Information Technology

hus 10, Lägerhyddsvägen 1

Box 337, 751 05 UPPSALA