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Computer Science, Master of Science Degree Programme


Study programme description for study year 2022-2023

Facts
Credits (ECTS)

120

Studyprogram code

M-DATENG

Level

Master's degree (2 years)

Leads to degree

Master of Science

Duration

4 Semesters

Undergraduate

No

Language of instruction

English

The master’s programme in Computer Science at UiS is open to Norwegian and international students. With a Master’s in Computer Science, the door is open to some of the most challenging and interesting jobs in the field. The study programme gives a broad foundation within the field of computer science. The study programme has two specialisations: (1) Reliable and Secure Systems and (2) Data Science.

 

This in an international study programme and all courses are given in English. The programme is organised under the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science. A completed master’s degree in Computer Science provides the basis for admission to PhD studies within information technology, mathematics and physics. 

 

 

Programme content, structure and composition 

After the student has been admitted to the two-year master's programme in Computer Science, the student must take a test in programming and system administration. If the student does not pass the test, UiS will offer and encourage the student to complete a preparatory summer course in programming and system administration. The purpose of the course is that the students should be best prepared for the master's program. The course takes place in early August, before the regular semester starts.

 

The University of Stavanger does not consider it necessary to offer summer courses for those students who have already passed the following courses at the University of Stavanger:

 

  • 10 ECTS in programming and at least 5 ECTS in operating systems

 

The University of Stavanger offers a master's programme aimed at students who have completed a 3-year engineering degree in computer technology. The two-year master's degree in Computer Science comprises 120 ECTS.

 

The programme has practical courses that build on mathematics, statistics, and basic computer science subjects from the bachelor's degree in Computer Science. The program contains advanced statistics topics and algorithmic topics, machine learning and data intensive systems. The specialisation Reliable and Secure Systems will have topics in network security, distributed systems and algorithm theory. The specialisation Data Science will specialize in information retrieval, data recovery and further specialisation in statistics.

 

The programme offers a variety of work and teaching programs, from traditional lecture series and exercises, project work, self-study and laboratory teaching to introduction and practice in the use of modern software. The emphasis on the individual teaching forms varies to some extent between the different subject groups.

 

The following is described in the individual course description:

- Forms of work and teaching

- Evaluation Forms

- Syllabus

- Assessment

 

The university emphasizes being able to offer all the studies as planned but must make reservations about sufficient resources and / or students to complete the offer. Over time, it will be natural for the academic content and offering of courses to change due to the general developments in the field of study, the use of technology and changes in society at large.

 

After admission to the programme, you can apply for a part-time study programme. Alternatively, you can apply directly to a part-time study.

Learning outcomes

After having completed the master’s programme in Computer Science, the student shall have acquired the following learning outcomes, in terms of knowledge, skills and general competences:

 

Knowledge

K1: Have advanced knowledge in information technology with specialization in either reliable and secure systems or data science.

K2: Have deep knowledge in the subject areas’ scientific theories and methods.

 

Skills

S1: Use relevant methods for research and software development in an independent manner.

S2: Analysze and relate in a critical manner to different information sources and apply these to structure and formulate professional reasoning within information technology.

S3: Perform an independent, limited research- or development project under guidance and in line with established ethical norms for research.

S4: Exploit knowledge in wireless communication, sensor networking, and distributed communication systems. (Reliable and Secure Systems)

S5: Design, model, simulate, and develop advanced network based computer systems with focus on dependability and security. (Reliable and Secure Systems)

S6: Develop data analysis applications for specific data sets and tasks or processes. (Data Science)

S7: Model problems and develop new instruments and applications for data collection, analysis and management following established engineering principles. (Data Science)

S8: Evaluate instruments and applications to optimize data collection, analysis and management. (Data Science)

 

General Competence

G1: Analysze relevant professional, and research ethical problems.

G2: Apply one’s knowledge and skills to new areas to conduct complex tasks and projects.

G3: Communicate comprehensively about own work, and master the subject area’s form of expression.

G4: Communicate professional problems, analyse, and draw conclusions within the subject area, both with specialists and the general public.

Career prospects

Researchers and developers in Computer Science are indispensable in almost all industries. Some examples of businesses where they find employment are: consulting companies, telecommunications companies, oil-related businesses, hospitals and other public agencies. We encounter digital technology everywhere, and researchers and developers in Computer Science are crucial in making information society a reality.

 

Specialisation: Reliable and Secure Systems

Specialisation in Reliable and Secure Systems provides a basis for work in the development and planning of commercial computer systems for different purposes. It builds knowledge and skills in network security, reliability of distributed systems, and simulation and modeling.

 

Specialisation: Data Science

Specialisation in Data Science provides a basis for work in data analysis and development of data processing systems for the whole data lifecycle. It builds knowledge and skills in advanced statistics, data mining, machine learning and processing of large data volumes.

A completed master’s degree in Computer Science provides the basis for admission to the PhD programme in Information technology, mathematics and physics

Course assessment

Schemes for quality assurance and evaluation of studies are stipulated in the Quality system for education

Study plan and courses
  • Choice og spezialication

    • Specialisation Data Science

      • Compulsory courses

      • 3rd semester at UiS or Exchange Studies

        • Courses at UiS 3rd semester

          • Recommended elective courses 3rd semester at UiS

          • Other elective courses 3rd semester at UiS

        • Exchange 3rd semester

    • Specialisation Reliable and Secure Systems

      • Compulsory courses

      • 3rd semester at UiS or Exchange Studies

        • Courses at UiS 3rd semester

          • Recommended elective courses 3rd semester at UiS

          • Other elective courses 3rd semester at UiS

        • Exchange 3rd semester

  • Choice of spezialication

Student exchange

Study abroad semester
3rd semester

 

Applicants admitted to the program are recommended to go on an exchange semester abroad as a part of their studies. UiS regards this exchange as a highly positive component of the program which will increase your employability. Students should select from their study program’s recommended universities. 

 

Schedule for the exchange

Recommended semester abroad is 3rd semester. This semester has 30 ECTS elective courses. When studying abroad you must select courses that provide an equivalent specialization in the subject area. These courses should not overlap with the courses you have already completed. We recommend that you also consider your field of interest. 

 

More opportunities

In addition to the recommended universities listed below, UiS has several agreements with universities outside Europe that are applicable to all students at UiS, provided that they find a relevant subject offering.

 

Within the Nordic region, all students can use the Nordlys and Nordtek networks. More information.

 

Contact person: 
Guidance and pre-approval of courses:
Sheryl Josdal  

 

General inquiries regarding exchange available in: Digital studentekspedisjon

Student exchange
  • All countries

    Aachen University of Technology

    Er du på utkikk etter en spennende mulighet i Tyskland er RWTH Aachen University det naturlige valget! Universitetet streber etter å bli det beste tekniske universitetet i Tyskland og er på god vei til målet. Bli med på en del av reisen – bli utvekslingsstudent i Aachen!

    Aalborg Universitet

    Aalborg Universitet (AAU) er kjent for å benytte seg av problembasert læring i grupper, noe som kan by på en spennende læringsprosess.

    California State University-Los Angeles

    California State University, Los Angeles (Cal State LA) er en del av det anerkjente California State University, som er USAs fjerde største universitet.

    Grenoble Institute of Technology

    Bli Erasmus+-student og studer i de franske alper i Frankrikes beste studentby Grenoble!

    Lodz University of Technology

    Do you want to study at one of the best technical universities in Poland? Apply to Lodz University of Technology (TUL) and enjoy a 70 years long tradition and experience in Engineering education!

    Technical University of Munich

    The Technical University of Munich, also known as TUM, accounts for major advancements in the field of natural sciences. TUM is one of the best universities in Germany and has several awarded scientists and Nobel Prize winners. The Technical University of Munich strives for excellent teaching and research quality.

    The University of Adelaide

    Universitetet ligger i Adelaide, Australias femte største by. Med sine 1.2 millioner innbyggere er Adelaide en trygg, kosmopolitisk by som er betraktelig rimeligere å bo i enn flere sammenlignbare byer i landet. Universitetet er medlem av Group of Eight, en koalisjon av de åtte ledende universitetene i Australia.

    University of Pisa

    Study at one of Europe's oldest and most prestigious universities - founded as early as 1343.

    University of Twente, Enschede

    Opplev Europa og det internasjonale studiemiljøet i Nederland. University of Twente er UiS` partneruniversitet i ECIU-nettverket og tilbyr utvekslingsmuligheter for mange studenter ved UiS. Det er et moderne og innovativt campus-universitet som satser stort på entreprenørskap.

  • Australia

    The University of Adelaide

    Universitetet ligger i Adelaide, Australias femte største by. Med sine 1.2 millioner innbyggere er Adelaide en trygg, kosmopolitisk by som er betraktelig rimeligere å bo i enn flere sammenlignbare byer i landet. Universitetet er medlem av Group of Eight, en koalisjon av de åtte ledende universitetene i Australia.

  • Denmark

    Aalborg Universitet

    Aalborg Universitet (AAU) er kjent for å benytte seg av problembasert læring i grupper, noe som kan by på en spennende læringsprosess.

  • France

    Grenoble Institute of Technology

    Bli Erasmus+-student og studer i de franske alper i Frankrikes beste studentby Grenoble!

  • Germany

    Aachen University of Technology

    Er du på utkikk etter en spennende mulighet i Tyskland er RWTH Aachen University det naturlige valget! Universitetet streber etter å bli det beste tekniske universitetet i Tyskland og er på god vei til målet. Bli med på en del av reisen – bli utvekslingsstudent i Aachen!

    Technical University of Munich

    The Technical University of Munich, also known as TUM, accounts for major advancements in the field of natural sciences. TUM is one of the best universities in Germany and has several awarded scientists and Nobel Prize winners. The Technical University of Munich strives for excellent teaching and research quality.

  • Italy

    University of Pisa

    Study at one of Europe's oldest and most prestigious universities - founded as early as 1343.

  • Netherlands

    University of Twente, Enschede

    Opplev Europa og det internasjonale studiemiljøet i Nederland. University of Twente er UiS` partneruniversitet i ECIU-nettverket og tilbyr utvekslingsmuligheter for mange studenter ved UiS. Det er et moderne og innovativt campus-universitet som satser stort på entreprenørskap.

  • Poland

    Lodz University of Technology

    Do you want to study at one of the best technical universities in Poland? Apply to Lodz University of Technology (TUL) and enjoy a 70 years long tradition and experience in Engineering education!

  • United States

    California State University-Los Angeles

    California State University, Los Angeles (Cal State LA) er en del av det anerkjente California State University, som er USAs fjerde største universitet.

Admission requirements

A bachelor´s degree within Computer Engineering, Computer Science, Informatics or similar with at least 50 ECTS credits in computer science/computer engineering. Applicants must have at least 30 ECTS credits in mathematics/statistics/calculus.


If you have completed studies/courses outside the University of Stavanger, you must upload course descriptions that clearly define the curriculum (learning outcomes), together with your transcript of records. The course names and codes on the course descriptions must match the transcript of records. If you do not provide course descriptions, you might risk your application not being prioritized.

 

Admission to this master's programme requires a minimum grade average comparable to a Norwegian C (according to ECTS Standards) in your bachelor's degree.

Contact information

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

Study advisor: Sheryl Josdal, tel (47) 51 83 17 47, E-mail: sheryl.josdal@uis.no