Machine Translation (Master's Level)
Course, Master's level, 5LN711
Expand the information below to show details on how to apply and entry requirements.
Autumn 2025
Autumn 2025,
Uppsala, 50%, On-campus, English
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 1 September 2025–2 November 2025
- Language of instruction
- English
- Entry requirements
-
A Bachelor's degree and (1) 60 credits in language technology/computational linguistics, or (2) 60 credits in computer science, or (3) 60 credits in a language subject, 7.5 credits in computer programming and 7.5 credits in logic/discrete mathematics. Also required is 7.5 credits in machine learning, and proficiency in English equivalent to the general entry requirements for first-cycle (Bachelor's level) studies.
- Selection
-
Higher education credits (maximum 285 credits)
- Fees
-
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 and tuition fees.
- First tuition fee instalment: SEK 15,000
- Total tuition fee: SEK 15,000
- Application deadline
- 15 April 2025
- Application code
- UU-57708
Admitted or on the waiting list?
Autumn 2025
Autumn 2025,
Uppsala, 50%, On-campus, English
For exchange students
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 1 September 2025–2 November 2025
- Language of instruction
- English
- Entry requirements
-
A Bachelor's degree and (1) 60 credits in language technology/computational linguistics, or (2) 60 credits in computer science, or (3) 60 credits in a language subject, 7.5 credits in computer programming and 7.5 credits in logic/discrete mathematics. Also required is 7.5 credits in machine learning, and proficiency in English equivalent to the general entry requirements for first-cycle (Bachelor's level) studies.
Admitted or on the waiting list?
About the course
The course provides an overview of different types of machine translation systems with a focus on architecture, usage and evaluation.
Syllabus
- Syllabus valid from Spring 2026
- Syllabus valid from Autumn 2024, version 2
- Syllabus valid from Autumn 2024, version 1
- Syllabus valid from Autumn 2023
- Syllabus valid from Spring 2019
- Syllabus valid from Autumn 2018
- Syllabus valid from Autumn 2017
- Syllabus valid from Spring 2017
- Syllabus valid from Autumn 2016, version 2
- Syllabus valid from Autumn 2016, version 1
- Syllabus valid from Spring 2012