Computer Science - Master of Science Degree Programme
Study programme description for study year 2013-2014
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. It contains basic core subjects for extension of the mathematical and scientific foundation laid down in the bachelor study program, specialisation subjects, elective subjects, and a master thesis 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 to 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
Knowledge
- Have advanced knowledge in information technology with specialization in computer security and distributed systems.
- Have deep knowledge in the subject areas scientific theories and methods.
Skills
- Can design, model, simulate, and develop advanced network based computer systems with focus on dependability and security.
- Is capable of using knowledge in wireless communication, sensor networking, and distributed communication systems.
- Can use relevant methods for research and software development in an independent manner.
- Can analyze and relate in a critical manner to different information sources and apply these to structure and formulate professional reasoning within information technology.
- Can perform an independent, limited research- or development project under guidance and in line with established ethical norms for research.
General Competence
- Can analyze relevant professional, and research ethical problems.
- Can apply ones knowledge and skills to new areas to conduct complex tasks and projects.
- Can communicate comprehensively about ones own work, and master the subject areas form of expression.
- Can communicate professional problems, analyze, and draw conclusions within the subject area, both with specialists and the general public.
Career prospects
Some examples of the wide variety of exciting career opportunities that a Master degree Computer Science could open up are: Development of advanced file sharing systems based on mobile agent technology, smart digital maps and geographic information systems, security in next-generation internet, and development of solutions for e-commerce with focus on security and automatic error recovery.Course assessment
Form and/or discussion according to faculty guidelines.Study plan and courses
Enrolment year: 2013
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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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Data-intensive Systems
Year 1, semester 1
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Security and Vulnerability in Networks
Year 1, semester 1
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Statistical Modeling and Simulation
Year 1, semester 1
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Distributed Systems
Year 1, semester 2
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Algorithm Theory
Year 1, semester 2
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Discrete Simulation and Performance Analysis
Year 2, semester 3
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Wireless Communications
Year 2, semester 3
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Master Thesis in Computer Science
Year 2, semester 3
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Optional courses in term 2
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Machine Learning
Year 1, semester 2
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Reliability Analysis
Year 1, semester 2
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