Study Plan for Master in Applied Computer Science (120 ECTS) (2022–2024)
Facts about the program
- ECTS Credits:
- 120
- Study duration:
- 2 years
- Teaching language:
- English
- Campus:
- Halden
What do you learn?
Degree/title obtained
Students that complete and pass the programme are awarded the degree of Master in Applied Computer Science.
Some students will also have the right to use the protected title sivilingeniør after graduation if they fulfil the following requirements:
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Completed a bachelor's degree in computer engineering based on the national curriculum regulations or an equivalent education that meets the minimum requirements of 25 ECTS mathematics, 7,5 ECTS physics and 5 ECTS statistics.
The additional title sivilingeniør will be stated in the diploma.
Learning outcomes
Knowledge
The candidate has
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deep knowledge about research and development within the field of applied computer science;
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advanced knowledge about literature and methods used within the field of applied computer science.
Skills
The candidate is able to
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work independently with a problem statement over an extended period of time;
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analyze a situation, formulate a problem statement, and develop a plan for solving the problem;
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create models and implement them in a digital environment;
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make realistic and feasible plans by taking into account possibilities, limitations and use of time;
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collect and analyse relevant information with emphasis on source criticism
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present research and results clearly and unambiguous within the field of applied computer science;
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formulate his/her own and other people's reflections and solutions within the field of applied computer science.
General competence
The candidate
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has retained and further developed his/her academic curiosity, knowledge, openness and precision as well as the ability to distinguish between knowledge and opinions;
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is capable of critical reflection on ethical, scientific and philosophical issues within the field of applied computer science;
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has gained knowledge of scientific literature, methods and theories within the field of applied computer science;
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can communicate knowledge clearly in writing as well as orally.
Admission
A bachelor's degree or an equivalent education of at least 180 ECTS credits,
and in addition or included at least 80 ECTS credits in informatics,
and in addition or included at least 20 ECTS credits in programming
To be admitted, the applicant must have an average grade value from the qualifying education of at least 25 (according to ECTS standards).
Proof of English proficiency is also required.
In addition, all applicants must pass both a written essay and an online entrance test.
Applicants from countries outside the EU/EEA must submit proof of funding when submitting their application.
Structure and content
The structure and content of the programme
The master programme in applied computer science is a natural extension of the department's bachelor studies and builds on the research activities of the department’s staff.
In the first semester, students select courses from two of the following four research areas:
Interaction Design
Machine Learning
Cyber-Physical Systems
Information Systems
In addition, all students have a common course in scientific methods.
In the second semester, students specialise in the research areas selected in the first semester. In addition, students work with an applied computer science project.
In the third and fourth semester, the students are given the possibility to choose between a long master’s thesis (60 ECTS) or a common course (10 ECTS), which focuses on the use of computer science in today’s digital society, an elective course (10 ECTS) and a short master’s thesis (40 ECTS).
In order to qualify for the master's thesis, students must have passed at least 50 ECTS from the first year of study.
Teaching, learning methods and forms of assessment
Learning partly takes place through seminars and traditional lectures. Additionally it will take other forms:
student-led seminars
projects
Each student's benefit from this type of organisation will depend on the student's own efforts and interest. The student must show interest in his/her professional development, and must be able to work independently with theory, implementation and knowledge acquisition. The students are offered supervision in all courses of the master programme. Master students are expected to take initiatives and approach tutors, and be responsible for their own learning.
Most courses and assignments are ICT-based, using various IT tools for exchange of information, submission of assignments, tests, etc. Østfold University College may demand that the student has a laptop at his/her disposal.
Østfold University College's Makerspace, a well-equipped lab with tools, materials, components and kits, is available for the students 24 hours, 7 days a week. This is a playground for students who like to create something using technology. Makerspace is also an arena for lectures, courses and experiments.
A modern library is at the students' disposal. The library helps the students in developing their information competence, i.e. the ability to search, find, evaluate and use relevant information. In addition to personal service the students are offered library courses on international databases and evaluation of information quality. They are also offered courses in scientific referencing.
Compulsory assignments
Some of the courses have requirements for attendance and/or compulsory assignments, exercises and projects. These assignments have to be completed and approved before taking the final examination. More details regarding compulsory assignments are found in the course descriptions.
Academic writing
The students will be trained in academic writing throughout the study programme. This is done by emphasising content, structure, reliability, and referencing.
Continuous feedback
The taught courses include exercises, assignments and projects, completed either individually or in groups. The students are given feedback on all exercises, assignments and projects.
Assessement
Final assessment takes several forms: written individual examination, portfolio assessment, project assessment, oral examination, or a combination of these. The grading scale normally used is the A - F scale although some courses may use the assessment "Bestått/Ikke bestått" (Pass/Fail).
Upon agreement with the instructor you may in some cases use Norwegian for your handins and/or exams.
More details regarding assessment are found in the course descriptions.
Plagiarism control/ cheating
Bachelor's and Master's theses are subject to electronic plagiarism control, as may also be the case with other courses and required coursework. Exam papers that are partly or entirely identical will not be approved and will be regarded as cheating. For further information please see Exam regulations for Østfold University College.
Research and development work
The master programme is based on research activities at the department, but is also contributes to our research. All courses in the first year are directly related to the research performed at the department. This implies that our courses are continually developed and always up to date.
The master theses are always based on research and development performed at the department or at one of our partners. The students become part of the R&D-groups, and the theses have on several occasions led to scientific publications.
Internationalisation
The international aspect is taken care of by the use of international literature. In addition, several members of the academic staff have close contacts with foreign institutions and research environments. The language of instruction is entirely in English, and therefore accommodates the needs of foreign students.
Programme evaluation
We are in need of feedback from our students, and that you participate in the different evaluations that we arrange.
To be able to offer a topical and relevant education of good quality, HiØ is dependent on feedback from the students and their participation in the evaluation. This study programme is regularly evaluated in order to assure and develop its quality.
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An annual national student survey is conducted among second year students on all bachelor’s and master’s degree programmes under the auspices of the Norwegian Agency for Quality Assurance in Education (NOKUT). The results of the survey are published on the website studiebarometeret.no.
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HiØ conducts periodical programme evaluations.
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Evaluations are carried out in the individual courses; see the individual course descriptions for more details.
Reading list
See separate course descriptions.
Course literature is subject to change until 15th of May for autumn courses, and 15th of November for spring courses.
Studies abroad
Students may take their second semester of their studies at a university abroad. Both the International Coordinator at the department as well as HiØ's International Office help accommodate studies abroad, and the department have exchange agreements with several universities in Europe, USA, Canada and Australia. Detailed information on exchange opportunities at universities abroad can be found on HiØ's international pages.
Work and future studies
The master's programme qualifies for PhD-studies in Norway and abroad. Different admission requirements may apply at different universities.
A master degree from us provides opportunities for leading positions within application development, web development, consulting and project management in leading IT companies in Norway and abroad. It also qualifies for work in the public sector, for instance in the fields of research, health and education.
The study plan is approved and revised
The study plan is approved
Dean Harald Holone, 27.October 2020The study plan is revised
Head of Department, Monica Kristiansen Holone, October 22, 2021
The study plan applies to
The programme description applies to the period 2022-2024 (master’s programme starting in Autumn 2022)
Programme Coordinator
Faculty of Computer Science, Engineering and Economics.Head of Department, Monica Kristiansen Holone
Study model
Autumn 2022
Choose specialisation
Machine Learning and Interaction Design
Machine Learning and Cyber-Physical Systems
Machine Learning and Information Systems
Interaction Design and Information systems
Interaction Design and Cyber-Physical Systems
Cyber-Physical Systems and Information Systems
Choose specialisation to view courses
Spring 2023
Core courses
Machine Learning and Interaction Design
Machine Learning and Cyber-Physical Systems
Machine Learning and Information Systems
Interaction Design and Information systems
Interaction Design and Cyber-Physical Systems
Cyber-Physical Systems and Information Systems
Choose specialisation to view courses
Autumn 2023
Choose Master's Thesis 40 ECTS og 60 ECTS
You may apply for a Business project (10 ECTS)
Choose a long master’s thesis (60 ECTS)
Core courses
Elective courses
Choose specialisation to view courses
Spring 2024
Choose a long master’s thesis (60 ECTS)
Core courses
Choose specialisation to view courses