ICT Engineering: Applied Computer Science and Engineering | Data Science Specialisation

Study plan 2024 autumn, 120 credits

Overview

Programme outline	Requirements
Mandatory courses	40
Total requirements:	120

Mandatory courses

Compulsory courses To the top

• ADA511 Data science and AI-prototyping Semesters: 1 10 sp
• ADA502 Cloud Computing and Software Systems Semesters: 2 10 sp
• ADA504 Research in Applied Computer Science and Engineering Semesters: 2 5 sp
• INN503 Digital Transformation, Innovation and Sustainability Semesters: 2 5 sp

Optional courses To the top

• ADA501 Mathematical modeling and simulation Semesters: 1 10 sp
• ADA512 Cyber-physical systems and IoT Semesters: 1 10 sp

Compulsory courses To the top

• ADA599 Master’s thesis Semesters: 3 60 sp

Optional courses To the top

• ADA525 Rapid prototyping using computational tools Semesters: 1 10 sp
• ADA526 Applied robot prototyping Semesters: 1 10 sp
• BYG501 Structural Modelling Semesters: 1 10 sp
• DAT254 Health Informatics Semesters: 1 10 sp
• ELE501 Advanced Control Systems Engineering Semesters: 1 10 sp
• MAS536 CFD in Energy Technology Semesters: 1 10 sp
• MOA272 Spatial planning Semesters: 1 10 sp
• ADA521 Work Practice Semesters: 2 5 sp
• ADA522 Work Practice Semesters: 2 10 sp
• ADA523 Selected topics in applied computer science and engineering Semesters: 2 5 sp
• ADA524 Selected topics in applied computer science and engineering Semesters: 2 10 sp
• ADA527 Advanced robot control Semesters: 2 10 sp
• ADA528 Sensor networks Semesters: 2 10 sp
• ADA529 Engineering Computing Semesters: 2 10 sp
• BYG502 Building Information Modelling and Analysis Semesters: 2 10 sp
• DAT255 Deep Learning Engineering Semesters: 2 10 sp
• ELE502 Advanced Power Electronics Semesters: 2 10 sp
• MAS533 Materials for Energy Technology Semesters: 2 10 sp
• MAS534 Electrochemistry for Batteries, Electrolyzers and Fuel Cell Systems Semesters: 2 10 sp
• BYG503 Advanced Construction Semesters: 3 10 sp

Compulsory courses To the top

• ADA595 Master’s thesis Semesters: 4 30 sp

Optional courses To the top

• ADA525 Rapid prototyping using computational tools Semesters: 1 10 sp
• ADA526 Applied robot prototyping Semesters: 1 10 sp
• BYG501 Structural Modelling Semesters: 1 10 sp
• DAT254 Health Informatics Semesters: 1 10 sp
• ELE501 Advanced Control Systems Engineering Semesters: 1 10 sp
• MAS536 CFD in Energy Technology Semesters: 1 10 sp
• MOA272 Spatial planning Semesters: 1 10 sp
• ADA521 Work Practice Semesters: 2 5 sp
• ADA522 Work Practice Semesters: 2 10 sp
• ADA523 Selected topics in applied computer science and engineering Semesters: 2 5 sp
• ADA524 Selected topics in applied computer science and engineering Semesters: 2 10 sp
• ADA527 Advanced robot control Semesters: 2 10 sp
• ADA528 Sensor networks Semesters: 2 10 sp
• ADA529 Engineering Computing Semesters: 2 10 sp
• BYG502 Building Information Modelling and Analysis Semesters: 2 10 sp
• DAT255 Deep Learning Engineering Semesters: 2 10 sp
• ELE502 Advanced Power Electronics Semesters: 2 10 sp
• MAS533 Materials for Energy Technology Semesters: 2 10 sp
• MAS534 Electrochemistry for Batteries, Electrolyzers and Fuel Cell Systems Semesters: 2 10 sp
• BYG503 Advanced Construction Semesters: 3 10 sp