With a specialisation in Data Engineering, you gain a broad knowledge in the field - from the cleansing and structuring of raw data, through infrastructure, to data-based knowledge generation.
The specialisation takes you through:
- Principles and technologies for data storage, data handling and accessing data in various database systems and on other platforms
- Models and techniques for obtaining and integrating data across domains, platforms and technologies
- Effective infrastructures and technologies for handling large amounts of data
- Analysing, reporting and visualising information from data
- Methods and techniques for finding patterns and knowledge in data (Machine Learning)
- Artificial Intelligence methods and techniques (e.g., Natural Language Processing (NLP), Image Recognition)
The Data Engineering specialisation gives you the opportunity to choose electives according to your interests. Choice of electives include:
BUI – Business Intelligence
The Business Intelligence course teaches you how to work with realistic data using professional tools in Business Intelligence, such as Microsoft SSIS, SSRS and SSAS.
MAL – Introduction to Machine Learning
The Introduction to Machine Learning elective gives you knowledge and hands-on experience in using machine learning methods and tools for both structured and unstructured data problems. You will learn how to prepare data (through processing) and use it to determine underlying structures as well as making predictions.
NSQ – No-SQL versus relational databases
This elective gives you knowledge of the strengths and weaknesses of two fundamentally different approaches to database management systems (DBMS). The purpose of the subject is to support matching system requirements and DBMS technologies rather than a one-size-fits-all approach.
Specialisation at Campus Horsens
The specialisation in Data Engineering takes place at Campus Horsens in an international study environment. The campus offers many facilities, such as a career centre, library, sports hall, associations and canteen. Read more about Campus Horsens.