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

  • Choose one course in term 3

  • Compulsory courses

    • Statistical modelling and simulation

      Year 1, semester 1

      Statistical modelling and simulation (MET260)

      Study points: 10

    • Security and Vulnerability in Networks

      Year 1, semester 1

      Security and Vulnerability in Networks (MID100)

      Study points: 10

    • Semantic Technology and Integrated Services

      Year 1, semester 1

      Semantic Technology and Integrated Services (MID270)

      Study points: 10

    • Distributed systems

      Year 1, semester 2

      Distributed systems (MID110)

      Study points: 10

    • Discrete Simulation and Performance Analysis

      Year 1, semester 2

      Discrete Simulation and Performance Analysis (MID280)

      Study points: 10

    • Algorithm Theory

      Year 2, semester 3

      Algorithm Theory (DAT600)

      Study points: 10

    • Wireless Communications

      Year 2, semester 3

      Wireless Communications (DAT610)

      Study points: 10

    • Thesis in Information Technology - Computer Science

      Year 2, semester 3

      Thesis in Information Technology - Computer Science (MIDMAS)

      Study points: 30

  • Optional courses or free choice of courses

Student exchange

Students in Computer Science who are applying for study abroad are advised to travel in their 2nd semester. Students who wish to go to a Nordic country are recommended to make use of the NORDTEK-network which opens up for student exchanges at master´s level with 21 Nordic Universities and University colleges with master degree education within technology in Denmark, Iceland, Finland and Sweden. In Europe students can apply through the ERASMUS-programme.Students have been on exchange to University of Western Australia, Queensland University of Technology and San Diego State University, USA.

Contact information

Faculty of Science and Technology, tel (47) 51831700, E-mail: post@uis.no