Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc 2 years full-time, 120 ECTS, Aalborg
The Machine Intelligence master’s programme enables the students to design, implement and analyse intelligent systems. Particular emphasis is placed on probabilistic methods for intelligent decision making and learning, and on techniques for intelligent web-based systems. Courses provide the necessary foundation in Machine Intelligence as well as other core subjects for a graduate level computer science education. A significant part of the studies consists of projects conducted in small groups of students. A project will typically include more in-depth study of particular methods and techniques, and their practical application, e.g., in computer game design, intelligent web-based services, or data mining.
The programme is managed by the Machine Intelligence Group, an internationally recognized research group with core research areas in uncertainty in artificial intelligence, machine learning, and web intelligence.
Graduates of the master’s programme in Machine Intelligence will typically obtain a job in the IT industry, or continue with an academic career.
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:
IELTS (academic test): 6.5
TOEFL (paper-based): 550
TOEFL (computer-based): 230
TOEFL (internet-based): 80
Cambridge ESOL: C1
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/
Candidates are in high demand and career opportunities are wide ranging. Former students have continued
their careers as PhD students; others work as e.g. project leaders or system developers in private or public companies all over the world.
Machine Intelligence is a two year master’s program (120 ECTS credits). Students can also choose to pursue one or two semesters.
Program overview starting from September 2012:
Semester 1
In the first semester there are mandatory courses on Machine Intelligence (5 ECTS) and Agent Technologies (5 ECTS), as well as one of Advanced Topics in Databases (5 ECTS) or Web-Engineering (5 ECTS) as an elective course.
There is a 15 ECTS project on the theme "From Reality to Machine Intelligence Models"
Semester 2
In the second semester there are mandatory courses on Advanced Topics in Machine Intelligence (5 ECTS) and Advanced Algorithms (5 ECTS), as well as one of Advanced Programming (5 ECTS) or Advanced Topics in Semantics and Verification (5 ECTS) as an elective course.
There is a 15 ECTS project on the theme "Applying Machine Intelligence in Reality"
Semester 3
In the third semester students follow a Specialisation Course in Machine Intelligence (5 ECTS), and one of Advanced Topics in Databases (5 ECTS), Web-Engineering (5 ECTS), Entrepreneurship (5 ECTS) as an elective.
There is a 20 ECTS project within the specialisation area chosen by the student for the master’s thesis.
Semester 4
The fourth semester is devoted to the master’s thesis project (30 ECTS).
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