Data Engineering
Job Description
The program
This study program belongs to the School of Computer Science & Engineering
Location: On Campus
The curriculum of the Data Engineering program provides students with a comprehensive understanding of the big data aspects of data analytics and data science, with the technological challenges of data acquisition, curation, and management.
The program focuses on the application of computer skills and mathematical knowledge to solve real-world problems in different industries. It appeals to students who completed their BSc in areas like computer science, physics, applied mathematics, statistics, electrical engineering, communications engineering, or related disciplines, and offers four focus tracks: Computer Science, Geo-Informatics, Bio-Informatics, and Business & Supply Chain Engineering.
These tracks prepare students for advanced projects and their master’s thesis, giving them hands-on experience in their area of interest. The program is well-rounded, providing students with theoretical knowledge and practical experience, giving them the tools to succeed in this rapidly growing field.
5 Reasons to join this program:
- Specialized Tracks for Diverse Career Goals: Choose from four industry-aligned focus tracks to tailor your expertise for specific fields like biomedical research, spatial analysis, or supply chain optimization.
- Integration of Big Data and Engineering: The program combines advanced techniques in data analytics with practical solutions for data acquisition, curation, and management.
- Hands-On Learning with Advanced Projects: Engage in real-world applications through capstone projects, internships, and participation in public big data challenges.
- Interdisciplinary Applications: Collaborate across fields such as computer science, natural sciences, and business, gaining insights into how data engineering drives innovation.
- Industry-Driven Curriculum: Benefit from seminars led by industry professionals, networking opportunities, and strong connections to leading companies.
Program Overview
Today we are “drowning in data and starving for information” while acknowledging that “data is the new gold”. However, deriving value from all the data now available requires a transformation in data analysis, in how we see, maintain, share and understand data.
Data Engineering is an emerging profession concerned with the task of acquiring large collections of data and extracting insights from them. It is driving the next generation of technological innovation and scientific discovery, which is expected to be strongly data-driven.
The Data Engineering program is embedded in the School of Computer Science and Engineering. Its interdisciplinary nature is taken into account by including courses from the School of Science and the School of Business, Social & Decision Sciences and Advanced Projects in research groups in all schools oncampus are an integral part of this study program.
