Course note
This course will begin in fall 2027.
About this course
Data powers today’s digital world, from social media and streaming platforms to AI systems and smart cities. This course dives into the field of data engineering, where raw data is transformed into reliable, scalable, and intelligent systems that drive modern applications. Students will learn how to collect, process, store, and analyze massive amounts of data using industry-standard tools and real-world workflows. Through hands-on projects, students will build data pipelines, work with cloud technologies, automate workflows, and explore big data systems. The course emphasizes practical experience with Python, SQL, distributed processing, and modern data architectures, giving students the foundational skills needed for careers in data engineering and essential for analytical downstream processes, for enabling downstream analytics and data-driven applications.
Syllabus
Coming soon
Prerequisites
One year of data science or computer science at university level, including one course in data structures or algorithms. Knowledge of at least one object-oriented programming language (e.g. Java, Python).
Long Study Tour
Short Study Tour
About this tour
During our three-day Study Tour within Sweden, we visit professionals from academia and industry to learn about the latest developments in the field of Data Engineering. Through these visits, we investigate how the field is evolving in Sweden, and reflect upon major opportunities and challenges within data engineering and data science research, with focus on implementation in real-world applications. In addition, we participate in cultural activities (e.g. city tours, outdoor activities, visits to museums) to learn about Swedish history, culture and nature.
Learning outcomes
- Engage in your personal learning process outside the classroom by actively participating and challenging your current ideas and assumptions
- Broaden your perspective of data engineering in the Swedish context through field visits, while assessing affordances and limitations of incorporating various data engineering approaches in different sectors
- Through conversations with data engineering experts working in Sweden, obtain an understanding of the dynamic interplay between data engineering and data science approaches, with focus on industry and everyday applications
Possible activities
- Visit research groups from renowned Swedish institutions that specialize in data engineering, analytics, machine learning, and artificial intelligence
- Visit specialized companies that incorporate various data engineering approaches in their processes
- Visit hubs that support incorporation on data engineering, analytics, and visualization in various sectors