Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc 2 years full-time, 120 ECTS, Aalborg
The data engineering programme covers a range of topics in the field. Today’s software systems manage large amounts of traditional and non-traditional data including temporal, spatial, spatio-temporal, and multidimensional data.
The programme focuses on technologies for managing this kind of data covering conceptual modelling and database design, data models, query languages, query processing and optimization, and indexing. The programme features traditional courses as well as projects that typically involve construction and experimentation with software prototypes.
Entrepreneurial values
While the programme provides strong theoretical foundations, it also emphasizes entrepreneurial values, enabling students to become highly valued staff at their future employer, both in industry and academia.
The programme is managed by the Center for Data-Intensive Systems, Daisy at the Department of Computer Science. Daisy is one of the world’s leading research groups within spatial, temporal and spatio-temporal data management and business intelligence (data warehousing and data mining). Student projects are usually directly related to the current cutting-edge research conducted at Daisy. In addition, projects are done in collaboration with local and national industry.
Please make sure you send your application form and further documentation via post to the International Office by the required deadline.
Furthermore please note the official language requirements for international students applying to Aalborg University are:
For further information regarding deadlines and requirements please see the website How to apply to Aalborg University
Although each application is assessed individually, the following are minimal requirements for admission:
1. A solid computer science background that includes courses on:
1. Theory of Computation (Automata Theory, Computability, Turing Machines)
2. Computer Systems (Processors, Memories etc.)
3. Algorithms and Data Structures (Lists, Trees, Graphs, sorting, searching, complexity)
4. Object Oriented Analysis and Dsign (UML etc.)
5. Object Oriented Programming (Java or C++)
6. Programming Languages and Semantics
7. Compiling Techniques
8. Operating Systems
9. Concurrent Programming
10. Networks
2. In addition, we require undergraduate mathematics as found in science or engineering degrees.
3. Some programming and design experience.
4. A decent grade, e.g. First Class – we would like to think that you are at least in the top 25% of your class.
It is a great help, if your application explains, why you satisfy these requirements.
Students from outside EU/EEA please see http://www.apply.aau.dk/how-to-apply-postgraduate/tuition-fee/
Data Engineering candidates from Aalborg University are in high demand. A number of graduates continue their careers as PhD students; others become system developers in their home countries or in Denmark.
Data Engineering is a two year master’s program (120 ECTS credits). Students can also choose to pursue one or two semesters.
Choose one:
Choose one:
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