Computer Science - Master of Science Degree Programme
Study programme description for study year 2012-2013
Semesters
Facts
Course code
120
Studyprogram code
M-DATENG
Level
Master's degree (2 years)
Leads to degree
Master of Science
Full-/Part-time
Full-time
Duration
4 Semesters
Undergraduate
No
Language of instruction
English
With an MSc in information technology, the door is open to some of the most challenging and interesting jobs in the field. The study program gives a broad foundation within the field of computer science. This in an international study program and all courses are given in english. The program is organized under the Faculty of Science and Technology, Department of Electrical and Computer Engineering.
Composition of the study program
The study program comprises 120 credit points (ECTS) in total, taken over 2 years. 20 ECTS are basic core subjects (B), 60 ECTS are specialisation subjects (S), 30 ECTS are credited for the master thesis (M), and 10 ECTS are elective subjects. The master thesis is done on an individual basis where a written report is mandatory. Master theses with industrial partners are highly recommended.
The program utilizes lectures, and activities such as individual projects, group projects, laboratory exercises with written reports, and company and industrial plant visits as learning methods. There is a high degree of individual advisory in the program - especially with regards with the Master thesis at the end.
A system for continuous assessment and evaluation of the study program is in place. The program plan, including a revision proposal, will be handled by the quality and program committee on a yearly basis according to University policies and guidelines. Furthermore, each individual course included in the program will be evaluated and assessed.
Learning outcome
With a masters degree in computer science the candidate should be able to design, model, simulate and develop advanced network-based computer systems with a focus on reliability and security. The candidate should also be capable of exploiting wireless communication systems, sensor networks, and distributed systems.Course assessment
Form and/or discussion according to faculty guidelines.
Study plan and courses
Enrolment year: 2011
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Choose one course in term 3
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Project in Computer Science
Year 2, semester 3
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Image Processing and Computer Vision
Year 2, semester 3
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Compulsory courses
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Statistical modelling and simulation
Year 1, semester 1
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Security and Vulnerability in Networks
Year 1, semester 1
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Semantic Technology and Integrated Services
Year 1, semester 1
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Distributed systems
Year 1, semester 2
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Discrete Simulation and Performance Analysis
Year 1, semester 2
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Algorithm Theory
Year 2, semester 3
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Wireless Communications
Year 2, semester 3
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Thesis in Information Technology - Computer Science
Year 2, semester 3
Thesis in Information Technology - Computer Science (MIDMAS)
Study points: 30
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Optional courses or free choice of courses
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Pattern recognition
Year 1, semester 2
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Reliability Analysis
Year 1, semester 2
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