Data Engineering for AI, 6 credits
Start of studies
Autumn semester 2030
Form of education
Campus, Day-time, 2/5
Language
English
Period
2030 week 45 until 2031 week 3
Admission to the course requires at least 5 completed credits in each of following areas: Programming, Algorithms and Data Structures, Databases, Software Engineering and a completed course in Statistics. English 6 or English level 2.
The purpose of the course is to equip students with the fundamental principles and advanced techniques of data engineering, focusing on the design, implementation, and optimization of scalable data pipelines. The course will cover modern data processing frameworks, storage solutions, and cloud-based architectures, and how to manage, transform, and integrate large-scale data to support analytics and AI-driven applications.
Admission to the course requires at least 5 completed credits in each of following areas: Programming, Algorithms and Data Structures, Databases, Software Engineering and a completed course in Statistics. English 6 or English level 2.
Study subject
Software Development
Level
A1N
Course code
PA2615