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Computer Science - master

Facts

Duration:2 År
Credits (ECTS):120
Qualification:Master of Science in Computer Science
Admission requirements:

Bachelor's degree (180 ECTS) in Computer Science or similar qualification, with a major in computer science (min 80 ECTS)

Applicants must have a minimum grade average comparable to a Norwegian C (2,5) in the ECTS scale, see the UiT webpage for International admissions for more information on how the point average is calculated.

see Admission requirements for more information.

Application deadline:Nordic applicants: 15 April, EU/EEA + Swiss applicants: 1 March, Non-EU/EEA applicants: No admission
Application code:Nordic applicants: 4008 | EU / EEA / Switzerland applicants applicants: 7102

Programme description

The program builds on skills in basic programming and database systems acquired through a bachelor’s degree (see admission requirements). It will provide you with a deeper and more detailed understanding on computer systems, software architecture and programming. Your master thesis towards the end of the program will allow you to develop a broader skillset within your chosen area of specialization.

The program consists of four mandatory courses in computer science with a total of 40 ECTS credits, and 20 ECTS credits of elective courses. The elective courses may be within topics such as economics, management, psychology and entrepreneurship, as well as computer science. The program concludes with a master thesis of 60 ECTS credits, which can be done in collaboration with an external IT-company.

This master’s program in Computer Science is unique in its very experimental approach with a lot of practical programming exercises and laboratory work. The computer science courses are taught by active researchers and professors and are directly connected to the on-going research projects carried out by the academic staff at the department.


Programme structure

Studieplan
10 ects 10 ects 10 ects
1. sem. (autumn) INF-3200 Distributed Systems Fundamentals - 10 stp. INF-3201 Parallel Programming - 10 stp.
2. sem. (spring) INF-3203 Advanced Distributed Systems - 10 stp. INF-3701 Advanced database systems - 10 stp.
3. sem. (autumn) INF-3990 Master's Thesis in Computer Science - 60 stp.
4. sem. (spring)

Learning outcomes

Knowledge

The candidate has…

• a broad solid foundation in computer science

• considerable depth of understanding of a selected area of specialization

• a deep understanding on state of the art distributed and parallel software architectures

• a solid knowledge about risks and threats in computer systems and their related security measures

• a solid understanding of system and application development relevant to the chosen specialty

Skills

The candidate can…

• work independently on a significant non-trivial problem over a longer time-period

• analyze a problem and plan how to work towards a solution

• plan, organize and execute the work required to solve the problem. Adapt to changes and limitations.

• demonstrate the feasibility of the solution by implementing key parts

• collect and analyze relevant metrics characterizing the problem and the solution

• write a well-structured and clearly formulated report describing the thesis work and reflecting on its results

General competence

The candidate …

• has an interest for the continued development of computer science as a dynamic field under the influences of advances in the discipline, changes in technology, and in application areas, business models, and businesses.

• can communicate effectively, orally and in writing, within the field, and with the public as well as experts in other fields

• can pursue life-long learning and development

• is aware of relevant social and ethical issues and apply this awareness to their professional conduct


Teaching and assessment

This program has a highly experimental and practical approach. All academic staff teaching our courses are active researchers within the various research groups at the Department of Computer Science, and thus courses will be based on and related to the ongoing research activities at the department.

Most courses are intensive and project oriented. During lectures, theoretical aspects of computer science will be presented and examined. In colloquiums, students are expected to take active part in discussions, presenting their own thoughts and solutions. Each course requires that compulsory assignments be approved for access to the exam (both individual and group assignments depending on the course). Evaluations may consist of both oral presentations and written reports depending on the specific course and nature of the assignment. The compulsory assignments are intended promote practical skills in designing, building and maintaining computer systems. We expect our students to take an active part in their education by being present, engaged and critical. We also see it as important that our students engage in and contribute to the social learning environment on campus, and emphasize the importance of cooperative learning.

As a student, you will be able to involve yourself with the department’s research and our research groups through electing special curriculums, and in finding and writing your master thesis. This requires learning about our research groups, their projects, and getting in touch with potential supervisors. We also accept master theses in collaboration with external partners as long as a suitable internal supervisor can be found. You will receive more information about this once you have been accepted to the program.

The program is intensive, and students must expect to spend more than 40 h/week including lectures, colloquiums, computer laboratory work, and self-study. Completion of the program requires motivation and targeted work effort by dedicated students.


Language of instruction

The language of instruction is English and all of the syllabus material is in English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.

The Master's thesis may be written in either English or a Scandinavian language.


Exchange possibilities

Exchange stays at other educational institutions in Norway or abroad can by agreement be included in the program, see Student mobility at UiT

The Department of Computer Science has subject-specific exchange agreements (Erasmus +) with several universities in Europe where the agreements with the Technical University of Munich, Germany and Vrije Universiteit Amsterdam, Netherlands are recommended. An overview of the department’s exchange agreements can be found at the tab Destinations for studies abroad (below).

Students can carry out an exchange stay in the second semester (spring) of the program.

Students wishing to carry out an exchange stay as part of their study program must contact the department administration in good time before leaving, ideally as soon as they are accepted for the master’s program (application deadlines is the 1st of September for exchange in the spring semester).

The courses scheduled for completion during the exchange period must be pre-approved in consultation with the department. The department will in each case assess how and to what extent external courses can replace mandatory subjects in the student's education plan at UiT.

The pre-approved courses will be included as part of the study at UiT. If the student do not complete the pre-approved courses during the exchange it may delay their study progression.

Access to further studies

Upon successful completion of the degree, and satisfactory grades, students may be qualified for admission to a PhD program in Science.