Master's Programme in Data Science — Bildanalys och maskininlärning

Masterprogram i dataanalys – Bildanalys och maskininlärning

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Master's Programme in Data Science — Bildanalys och maskininlärning

Masterprogram i dataanalys – Bildanalys och maskininlärning

TDA2M•120 hp

Specialisation

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Mark the courses you have passed on the map to see how far through the programme you are, and what you can take next. Your marks stay in this browser.

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Mandatory coreRequired for the degree
Specialisation courseListed within this specialisation; the source does not mark it compulsory
Listed courseThe source does not mark this course compulsory; confirm official requirements and restrictions
Project / thesisCapstone or degree project
Other listed courseOther courses

Hard requirementYou must pass the previous course
Soft requirementRecommended / should have taken
ExclusiveCannot be combined in one degree

Rules from the study plan6

Right-click a course to filter these

Sem 1Note1MD110 1DL002 1MA330 1RT700 1DL301
Recommended courses
Rekommenderade kurser
Sem 1Note1DL415 1MD016
Elective courses
Valbara kurser
Sem 2Note1RT720 1TD388 1MD042 1MD041
Recommended courses
Rekommenderade kurser
Sem 2Note1RT745 1MD041 1MD043 1DL390
Elective courses
Valbara kurser
Sem 3Note
Period 1Projekt i dataanalys, 10 av 15 hp (1DL507)Valbara kurser:Avancerad probabilistisk maskininlärning, 5 hp (1RT705)Stora språkmodeller och sociala konsekvenser av artificiell intelligens, 5 hp (1RT730)Period 2Projekt i dataanalys, 5 av 15 hp (1DL507)Forskningsmetodik för bildanalys och maskininlärning, 5 hp (1MD048)Samtida metoder inom visuell databehandling, 5 hp (1MD049)Valbara kurser:Intelligenta interaktiva system, 5 hp (1MD032)
Sem 4Note
Examensarbete E i dataanalys, 30 hp (1DL510)

Additional source text is not arranged as course rows

Semester 1: Recommended coursesRekommenderade kurser
Semester 1: Elective coursesValbara kurser
Semester 2: Recommended coursesRekommenderade kurser
Semester 2: Elective coursesValbara kurser
Semester 3: Preliminary outline 2027/2028 Period 1 Project in Data Science, 10 of 15 credits( 1DL507) Elective courses: Advanced Probabilistic Machine Learning 5 credits (1RT705) Large Language Models and Societal Consequences of Artificial Intelligence 5 credits (1RT730) Period 2: Project in Data Science, 5 of 15 credits( 1DL507) Research Methodology for Image Analysis and Machine Learning 5 credits (1MD048) Contemporary Methods in Visual Data Processing 5 credits (1MD049) Elective courses: Intelligent Interactive Systems 5 credits (1MD032)Preliminär studieplan 2027/2028 Period 1 Projekt i dataanalys, 10 av 15 hp (1DL507) Valbara kurser: Avancerad probabilistisk maskininlärning, 5 hp (1RT705) Stora språkmodeller och sociala konsekvenser av artificiell intelligens, 5 hp (1RT730) Period 2 Projekt i dataanalys, 5 av 15 hp (1DL507) Forskningsmetodik för bildanalys och maskininlärning, 5 hp (1MD048) Samtida metoder inom visuell databehandling, 5 hp (1MD049) Valbara kurser: Intelligenta interaktiva system, 5 hp (1MD032)
Semester 4: Preliminary outline 2027/2028 Degree Project E in Data Science 30 credits (1DL510)Preliminär studieplan 2027/2028 Examensarbete E i dataanalys, 30 hp (1DL510)

These source notes preserve information that could not be represented as course rows. Check the official study plan for details and restrictions.

Additional source text is not arranged as course rows

Semester 1: Recommended coursesRekommenderade kurser

Semester 1: Elective coursesValbara kurser

Semester 2: Recommended coursesRekommenderade kurser

Semester 2: Elective coursesValbara kurser

Semester 3: Preliminary outline 2027/2028 Period 1 Project in Data Science, 10 of 15 credits( 1DL507) Elective courses: Advanced Probabilistic Machine Learning 5 credits (1RT705) Large Language Models and Societal Consequences of Artificial Intelligence 5 credits (1RT730) Period 2: Project in Data Science, 5 of 15 credits( 1DL507) Research Methodology for Image Analysis and Machine Learning 5 credits (1MD048) Contemporary Methods in Visual Data Processing 5 credits (1MD049) Elective courses: Intelligent Interactive Systems 5 credits (1MD032)Preliminär studieplan 2027/2028 Period 1 Projekt i dataanalys, 10 av 15 hp (1DL507) Valbara kurser: Avancerad probabilistisk maskininlärning, 5 hp (1RT705) Stora språkmodeller och sociala konsekvenser av artificiell intelligens, 5 hp (1RT730) Period 2 Projekt i dataanalys, 5 av 15 hp (1DL507) Forskningsmetodik för bildanalys och maskininlärning, 5 hp (1MD048) Samtida metoder inom visuell databehandling, 5 hp (1MD049) Valbara kurser: Intelligenta interaktiva system, 5 hp (1MD032)

Semester 4: Preliminary outline 2027/2028 Degree Project E in Data Science 30 credits (1DL510)Preliminär studieplan 2027/2028 Examensarbete E i dataanalys, 30 hp (1DL510)

These source notes preserve information that could not be represented as course rows. Check the official study plan for details and restrictions.