Master's Programme in Applied Computer and Information Technology Programme description

The Master's program in Applied Computer and Information Technology (ACIT) offers an expert-level education in the design, development, use and maintenance of computer technology, electronics and software development.

The Faculty of Technology, Art and Design at Oslo Metropolitan University believes that solving societal challenges requires a broad and multidisciplinary approach. Solutions for the public should be viewed as an artefact beyond a singular discipline, like Computer Science or Electrical Engineering, are are therfore best viewed as a combination of expert knowledge and interdisciplinary thinking.

The uniqueness of ACIT is that it offers a closer connection between multiple fields and showcase how they are part of the same technological fabric of today's digital society. ACIT will have a better foundation for solving tomorrows challenges as a broader perspective is available to them. The program is designed to allow the student to select an area of specialisation but also requires them to become familiar with a second area of their choice. In addition, the student will be trained specifically in the role as the expert member of a team.

ACIT has eight specialisation areas:

• Applied Artificial Intelligence
• Electronics and Biomedical Systems
• Cloud-based Services and Operations
• Cyber Security
• Data Science
• Universal Design of ICT
• Mathematical Modelling and Quantum Technologies
• Robotics and Control

More information about each can be found in the Program Structure and Content Section.

Programme objectives

Graduates from this program will:

• understand the role of their specialisation in organisations and society
• possess deep technical skills from their own specialisation that can be applied in a variety of real-life scenarios
• understand how their specialisation is part of a wider fabric of skills necessary to solve tomorrows challenges
• have a professional and ethical attitude towards their role in the workplace
• display creative thinking in real-life situations, leaning both on theoretical knowledge and on pragmatism
• plan and execute their work in a structured and independent manner, be it as professionals or as researchers in their field

Our target audience are individuals with a bachelor's degree who are interested in an expert role as well as the option to pursue an academic career either directly or later.

The program offers career-defining specialisations that are closely tied with the industry. Focus is on building practical skills combined with scientific craftsmanship. Graduates from this program are attractive candidates for public and private sectors as well as non-profit organisations.

The different specialisations together provide for a wide field of recruitment and is therefore relevant for bachelor graduates from many engineering backgrounds as well as traditional natural sciences. Students from fields within IT, such as human-computer interaction, web- development or applied computer technology will also find suitable specialisations.

Applicants will choose the desired specialisation track at the point of applying for the program. Admission to the program is based on two sets of requirements. The general admission requirements, which are the same regardless of track chosen, and the specialisation track requirements. Please take special note of the individual requirements of each specialisation track.

The master programme aims for a diverse group of students from many countries. To ensure even representation in each of the specialisations, if a country is overrepresented in applications (with the exception of applicants from Norway), the program reserves the right to assign a maximum of three students from each country to a specialisation

General admission requirements

In order to qualify for an international master's degree, the applicant must be able to document sufficient mastery of English. Please consult the current regulations at OsloMet for a complete overview: English proficiency requirements for master's - OsloMet

In addition to English proficiency, applicants must have completed a BSc or equivalent program with a grade average of C or better.

Specialisation requirements

In order to be qualified for their desired specialisation, the applicant must comply with at least ONE of the requirements for that specialisation. Each requirement is a combination of Bachelor's degree from a specific field with possible conditions for ECTS within certain topics.

Applied Artificial Intelligence

To qualify for this specialisation you must have in one of the following:

• a bachelor’s degree in Computer Science, Computer Engineering or Informatics
• a bachelor’s degree in Information Technology or other equivalent qualifications, which include at least 80 ECTS within the field of computer science
• a bachelor’s degree in Electrical Engineering, Mathematics or Applied Mathematics with at least 10 ECTS of programming
• a bachelor’s degree in Mechanical Engineering with specialization in mechatronics, with at least 20 ECTS in programming

You must also have:

• an average grade of at least C (according to the ECTS grading scale) on your bachelor's degree
• proof of your English proficiency

Electronics and Biomedical Systems

To qualify for this specialisation you must have in one of the following:

• a bachelor’s degree in Electronics and Biomedical Systems, Biotechnology Engineering, Chemical Engineering
• a bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Informatics/Information Technology
• a bachelor’s degree in Mechanical Engineering, Physics or Statistics

You must also have:

• 25 ECTS in mathematics and/or statistics
• an average grade of at least C (according to the ECTS grading scale) on your bachelor's degree
• proof of your English proficiency

Cloud-based Services and Operations

To qualify for this specialisation you must have one of the following:

• a bachelor’s degree in Computer science, Computer Engineering or Informatics
• a bachelor’s degree in Information Technology or other equivalent qualifications, with at least 80 ECTS within the field of computer science or
• a bachelor’s degree in Electrical Engineering with at least 10 ECTS of programming or
• a bachelor’s degree in Mechanical Engineering with specialization in mechatronics, with at least 20 ECTS in programming

You must also have:

• an average grade of at least C (according to the ECTS grading scale) on your bachelor's degree
• proof of your English proficiency

Cyber Security

To qualify for this specialisation you must:

• a bachelor’s degree in Computer Science, Computer Engineering, Informatics, Information Technology or other equivalent qualifications, which include at least 80 ECTS within the field of computer science

You must also have:

• a minimum of 10 ECTS in data security or a similar technical topic, such as network security, information security, mobile security, applied cryptography, privacy-enhancing technology or computer security management
• an average grade of at least C (according to the ECTS grading scale) on your bachelor's degree
• proof of your English proficiency

Data Science

To qualify for this specialisation you must have one of the following:

• a bachelor’s degree in Computer Science, Computer Engineering or Informatics / Information Technology
• a bachelor’s degree in Physics, Statistics, Mathematics or Applied Mathematics with at least 10 ECTS in programming
• a bachelor’s degree in other engineering subjects with at least 10 ECTS in Mathematics, 10 ECTS in Statistics and 10 ECTS in programming

You must also have:

• an average grade of at least C (according to the ECTS grading scale) on your bachelor's degree
• proof of your English proficiency

Mathematical Modelling and Quantum Technologies

To qualify for this specialisation you must have one of the following:

• a bachelor’s degree in an engineering discipline with at least 30 ECTS in total within Mathematics, Statistics and/or Scientific Computing
• a bachelor’s degree in Computer Science or Informatics / Information Technology with at least 30 ECTS in total within Mathematics, Statistics and/or Scientific Computing
• a bachelor’s degree in Mathematics
• a bachelor’s degree in Statistics
• a bachelor’s degree in Physics

You must also have:

• an average grade of at least C (according to the ECTS grading scale) on your bachelor's degree
• proof of your English proficiency

Robotics and Control

To qualify for this specialisation you must have one of the following:

• bachelor’s degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Physics, Mathematics, Applied Mathematics, Computer Science, Computer Engineering or Informatics/Information Technology
• 7,5 ECTS in programming

You must also have:

• 25 ECTS in mathematics and/or statistics from the bachelor’s degree
• an average grade of at least C (according to the ECTS grading scale) on your bachelor's degree
• proof of your English proficiency

Universal Design of ICT

To qualify for this specialisation you must have:

• a bachelor’s degree in Computer Science, Computer Engineering, Informatics or Information Technology or equivalent, which at least 80 ECTS within the field of computer science

You must also have:

• an average grade of at least C (according to the ECTS grading scale) on your bachelor's degree
• proof of your English proficiency

On successful completion of their Master's degree, the candidate should have the following qualifications defined in knowledge, skills and general competence:

Knowledge

Upon successful completion of the program, the candidate:

1. has thorough knowledge of the professions within applied computer and information technology and their role in businesses, organisations and society
2. has a thorough knowledge of the processes and methodologies applied by professional practitioners within fields like information technology, scientific computing and electrical engineering or a combination of these traditional fields, both in public and private sector
3. has an advanced understanding of how technological advances in society are alloys of multiple disciplines, such as Mathematics, Computer Science, Electrical Engineering and more
4. has a fundamental understanding of a secondary field within applied computer and information technology and its role in organisations and society
5. has thorough experience in interdisciplinary work and how it contributes to solving complex problems

Skills

Upon successful completion of the program, the candidate:

1. can contribute to innovation processes in applied computer and information technology by harnessing knowledge and skills from a research discipline, such as Computer Science, Electrical Engineering or Mathematics, and directing them towards an interdisciplinary problem
2. can facilitate, nourish and cultivate interdisciplinary perspectives in projects
3. can design and implement technical solutions to challenges that represent modern and real-life scenarios
4. can translate abstract theoretical models or technical descriptions into working solutions and systems, relative to their area of focus
5. can analyze existing theories, methods and interpretations in their field and work independently on practical and theoretical problems
6. can use relevant methods for research, scholarly and development work within their field in an independent manner
7. can carry out independent research or development project within their field under supervision and in accordance with applicable norms for research ethics
8. can identify and communicate common facets and challenges within their field to professionals from other fields
9. can deploy, use and manage systems and technical tools that in complexity and scale represent enterprise scenarios
10. can independently update their knowledge as technology progresses to new areas within society
11. can apply knowledge to new areas within their academic field
12. can analyze academic problems within their area of research based on its methods, tradition and role in society

General Competence

Upon successful completion of the program, the candidate:

1. can appreciate why evaluating a technological challenge beyond the perspective of a single discipline is needed in the pursuit of a safe, inclusive and responsible technologically advanced society
2. can analyze relevant academic, professional and research ethical problems in applied computer and information technology
3. can apply his/her knowledge and skills in new areas in order to carry out advanced assignments in the realm of technology
4. can communicate extensive independent work and masters language and terminology of their own academic field or an interdisciplinary field
5. can communicate about academic and professional issues, analyses and conclusions in their field, both with specialists and the general public
6. can contribute to new thinking and innovation processes

ACIT is a combination of courses and a thesis project at the end. Students choose between a short or a long thesis project during semester 1. The program is designed to first focus on a specialisation before introducing training as a specialist in interdisciplinary work. Every specialisation has four mandatory Specialisation courses.

In addition, there are two courses common for all specialisations. These two courses focus on research methods and ethics and interdisciplinary innovation.

In summary, the core structure for all students is:

• 4 x 10 ECTS Specialisation courses (SPEC)
• 2 x 10 ECTS Common courses
• 60 ECTS Long Thesis or 30 ECTS Elective courses plus 30 ECTS Short Thesis

Program Structure for Short Thesis students

The short thesis project is 30 ECTS and will be in the final semester of the program. The topics for these projects can be initiated by students or be selected from a list of available projects offered from the faculty.

Students are generally recommended to select a short thesis if they prefer to increase their breadth with more elective courses and find it more suitable for them to focus on the thesis in a single semester.

Short thesis projects can be done in collaboration with external (outside of OsloMet) companies and organisations. In all cases, the project proposal will go through a quality assurance process and the student will be assigned a local supervisor.

• Semester 1: Common course + 2 x Specialisation course
• Semester 2: Common course + Specialisation course + Elective course
• Semester 3: 10 Specialisation course + 2 x Elective course
• Semester 4: 30 ECTS Master's Thesis

Program structure for Long Thesis students

The long thesis is 60 ECTS and therefore half of the entire time spent in the program. Projects are typically a part of on-going research and development projects at the Department of Computer Science and the Department of Mechanical, Electronic and Chemical Engineering.

The project work is divided over three semesters. A long thesis is recommended for students who enjoy working independently for longer periods and who target an academic career later. Even though there is no formal difference with a long and short thesis with regard to qualifying for a PhD scholarship, the long thesis project has additional requirements with regard to writing a scientific paper as part of their project. A potential publication would normally be an advantage when applying for a PhD scholarship.

• Semester 1: Common course + 2 x Specialisation course
• Semester 2: Common course + Specialisation course + Master's Thesis Phase 1 (10 ECTS)
• Semester 3: Specialisation course + Master's Thesis Phase 2 (20 ECTS)
• Semester 4: 30 ECTS Master's Thesis Phase 3 (30 ECTS)

Common Courses

ACIT has two common courses which are mandatory for all students in the program:

1. Understanding and Communcating Research introduces the student to scientific writing, finding and understanding research papers and the ethical standards that follow a researcher and professional. The course offers a broad perspective on the range of methods available in research and development work, but will offer more specialized topics to each student based on their field.
2. Interdisciplinary Innovation and complex problems trains students in how to will work together in diverse groups to address or solve a complex or ‘wicked’ problems. Students will learn about design and innovation processes, focusing on the ability to interact with team members building on each others' respective knowledge and skills to find innovative solutions.

Elective courses

Elective courses only available for students who elect a Short Thesis rather than a Long Thesis. They have their origin in one of the specialisation tracks, but can be of interest to all students, regardless of specialisation.

Students do not have to decide on the elective courses they want to take at the beginning of the programme but can wait until their interests mature. The Elective courses can create interesting and complementing combinations of knowledge and skills for the individual student based on their particular interest. For many, they may give a necessary depth in a topic that they want to focus on in the thesis project later.

The availability of Elective courses is dependant on the semester and a sufficient number of students being enrolled in the class.

Students can in principle use courses from other MSc programs at the Faculty of Technology, Art and Design or external institutions as elective courses provided they have a relevance to ACIT's overall profile and can function as an adequate replacement for the learning outcomes of the ACIT Elective(s).

Specialisation content

Applied Artificial Intelligence

This specialisation focuses on the understanding, the development, and the application of artificial intelligence methods and tools to solve a variety of real world problems. This specialisation gives students the advantage of working with cutting edge technologies, state-of-the-art algorithms and tools within artificial intelligence, such as deep learning, reinforcement learning, evolutionary and biologically inspired algorithms, and swarm intelligence.

Specialisation courses:

• ACIT4610 - Evolutionary artificial intelligence and robotics (1st semester)
• ACIT4620 - Computational Intelligence (1st semester)
• ACIT4630 - Advanced machine learning and deep learning (2nd semester)
• ACIT4030 Machine Learning for images and 3D data (3rd semester)

Students on the Applied Artificial Intelligence Specialisation will:

• learn the foundation and inspiration of modern artificial intelligence methods and tools
• gain practical experience and technical skills in applying artificial intelligence to solve problems in different areas
• be able to understand the challenges and implications of applied artificial intelligence, and the impact AI can have on society, work, and daily life.

Electronics and Biomedical Systems

Electronics and Biomedical Systems studies ways to improve the diagnostics, therapy, care, rehabilitation and life quality by researching and developing diagnostic and therapeutic devices, equipment, implants, medical imaging systems as well as pharmaceuticals. This specialisation in particular involves the hardware and software design of devices and systems used to measure biological signals and activities. This ranges from developing sensors that can capture a biological signal of interest, to applying methods of amplifying and filtering the signal so that it can be further studied, to dealing with sources of interference that can corrupt a signal, to building a complete instrumentation system such as an x-ray machine or a heart monitoring system.

Specialisation courses:

• ACIT4720 - Medical sensors and actuators (1st semester)
• ACIT4740 - Microelectronic circuits and systems (1st semester)
• ACIT4730 - Special biomedical engineering subject (2nd semester)
• ACIT4035 - Rehabilitation and Assistive Technology (3rd semester)

Students on the Electronics and Biomedical Systems specialisation will:

• acquire advanced knowledge in hardware and software design and learn how to analyse different problems related to biology and medicine and implement those solutions in a cross disciplinary field.
• gain skills in evaluating existing instrumentations and systems that are applied in the laboratories and clinics, and develop specific solutions that are ideally innovative and practically anchored.
• understand how different hardware and software approaches are applied in a field where the challenges are created by the diversity and complexity of living systems, which require creative, knowledgeable, and imaginative solutions.

Cloud-based Services and Operations

Today, the cloud is an essential platform for services that need to display automated and agile features. This specialisation focuses on the process of developing, deploying and managing large-scale services. This combines an understanding of how modern development teams work, how parts of the development process can be automated in order to achieve higher efficiency and finally how a service can be supported by an operations infrastructure in order to make it robust and flexible enough to scale to a world audience.

Specialisation courses

• ACIT4410 - Agile Service Delivery and Developer Operations (1st semester)
• ACIT4420 - Problem solving with scripting (1st semester)
• ACIT4430 - Infrastructure Services and Operations (2nd semester)
• ACIT4010 - Enterprise Networking: Practices and Technologies (3rd semester)

Students on the Cloud-based Services and Operations specialisation will:

• learn the role large-scale cloud-based services play in a digitized society
• gain technical skills and unique knowledge to become a valuable member of software engineering or operations teams
• understand the current challenges of cloud-based operations and can discuss them

Cyber Security

The purpose of cyber security studies is to provide individuals with the knowledge and skills to help protect computer systems, networks, and other digital devices from unauthorized access, attacks, and theft. It also aims to promote safe and responsible use of technology, raise awareness about cyber threats and risks, and encourage proactive measures to prevent cyber incidents. Cyber security education helps individuals to understand the magnitude of cyber threats and their potential impact on personal and professional lives. It prepares them to identify, analyze, and mitigate cyber risks and vulnerabilities, and equips them with techniques to respond to cyber-attacks appropriately. Additionally, cyber security education supports the development of a skilled workforce in the field of cyber security to meet the growing demand for cyber security professionals.

Specialisation courses

• ACIT4050 - Applied Computer and Network Security (1st semester)
• ACIT4280 - Privacy by Design (1st semester)
• ACIT4290 - Practical Cyber Security (2nd semester)
• ACIT4025 - Cybersecurity and privacy (3rd semester)

Students on the Cyber Security specialisation will:

• acquire advanced knowledge of defensive and offensive cyber security and learn how to analyze threats and vulnerabilities as well as to plan solutions and mitigations to those threats.
• gain deep insights into information privacy and data protection and will learn risk and impact assessments methods as well as strategies and tools for designing data protection into data systems.
• cquire professional ethics by studying the impact and consequences of cyber security, the lack thereof, and the consequences of mishandling personal information. Societal impact, ethical perspectives and cyber politics will second technical expert knowledge.

Data Science

Data Science consists of elements of Big Data, Statistics and Machine Learning. With the vast amount of data available to us from all forms of electronic devices and systems, the challenge remains to extract knowledge and wisdom from it. As technology continues to spread into every nook of our lives, new data about us is generated. Even though valuable insight can be found, the need to protect the data and understand the ethical ramifications of its use becomes ever more important.

Specialisation courses:

• ACIT4510 - Statistical Learning (1st semester)
• ACIT4620 - Computational Intelligence (1st semester)
• ACIT4530 - Data Mining at Scale (2nd semester)
• ACIT4520 - Applied Data Science Project (3rd semester)

Students on the Data Science specialisation will:

• learn to utilize statistical methods on large data sets in practice
• get practical experience on state-of-the-art BigData systems
• get theoretical background in the algorithms and techniques used in Data Science
• program their own analysis tools based on the methods they have learned to be used on large data sets

Mathematical Modelling and Quantum Technologies

Mathematical models are widespread in science and engineering: whenever we want to create a representation of the real world that allows us to investigate and simulate it, we reach for mathematics as a language, and the most powerful supercomputers in the world are designed for that purpose only: run vast mathematical computations. Today, mathematicians work alongside engineers and scientists to address major challenges in our world, such as understanding and predicting the effect of climate change or describing both atomic building blocks and the vast limits of the universe. The mathematical modelling and quantum technologies specialisation prepares students for developing and treating models in their own projects and for jobs in research, industry and IT where mathematical modelling and simulation is essential.

Specialisation courses:

• ACIT4310 - Applied and Computational Mathematics (1st semester)
• ACIT4321 - Quantum Information Technology (1st semester)
• ACIT4330 - Mathematical Analysis (2nd semester)
• ACIT4510 - Statistical Learning (3rd semester)

Students in the Mathematical Modelling and Quantum Technologies specialisation will:

• build a substantial portfolio of analytical techniques and computational methods and be able to implement these methods for scientific computing
• gain insight into how mathematical models are built and be aware of strengths and limitations of mathematical modelling
• learn how to apply theory and interpret model results in the context of science and engineering

Robotics and Control

Robotics and Control focuses on understanding the technologies and methodologies behind modern robots, drones, advanced industrial process control and autonomous systems in general. Robotics is becoming increasingly important for home, industrial, transport and medical applications. The deployment of autonomous self-guiding vehicles, including autonomous ships and drones, is expected to grow massively in the coming years with the need for highly skilled professionals. The specialisation combines traditional robotics and control systems with novel computing technologies, such as artificial intelligence and machine learning. These skills are extremely relevant for current and future companies working on product development, smart manufacturing technologies, and Industry 4.0.

Specialisation courses:

• ACIT4810 - Advanced Methods in Modelling, Simulation, and Control (1st semester)
• MECH4201 - Introduction to mechatronics* (1st semester)
• ACIT4820 - Applied Robotics and Autonomous Systems (1st semester)
• ACIT4830 - Special Robotics and Control Subject (2nd semester)

Students on the Robotics and Control specialisation will:

• obtain knowledge in key topics such as dynamic systems, control theory, sensory feedback and information processing, electromechanical design, and real time software development.
• learn the theories, technologies, and methodologies used in modern robotics and control systems
• gain hands-on practical experience and technical skills in implementing robotics and control methods to solve real-life problems
• understand the different aspects needed to develop robotic and intelligent systems, and to use them to create innovative solutions and solve societal challenges.

Universal Design of ICT

With our emerging digital society, it is becoming essential that all electronic information and services should be accessible for all, regardless of devices, situations, and abilities. In Norway and many other countries, providing ICT solutions accessible for as many people as possible is becoming a legal requirement. This specialisation focuses on identifying disabling ICT barriers and developing universally designed ICT solutions that can be used by as many people as possible, including people with disabilities, so that all citizens can take an active part in social activities, education and employment. This combines an understanding of diversity among users, situations and equipment, human-computer interaction, assistive technologies, and methods for universal design of ICT solutions, as well as knowledge of relevant national and international legislation, guidelines and standards.

Specialisation courses:

• ACIT4910 - User Diversity and ICT barriers (1st semester)
• ACIT4920 - Universal Design of Interactive Systems (1st semester)
• ACIT4930 - Interaction Styles and Technologies for Accessibility (2nd semester)
• ACIT4080 - Intelligent User Interfaces (3rd semester)

Students taking the Universal Design of ICT specialisation will:

• acquire advanced knowledge of universal design and specialist knowledge of ICT, and learn how to analyze problems and solutions based on the history, traditions, characteristics and societal context of universal design and ICT
• gain skills in evaluating usability and accessibility of existing ICT systems and develop ICT solutions that are accessible and usable for as many people as possible
• understand how universally designed ICT solutions can positively affect a person's opportunities for actively taking part in a digitized society and can communicate this to both specialists and the general public.

The learning outcomes will be achieved by means of different learning methods adapted to each individual course.

The program is based on student-centered learning methods. Teaching methods include lectures, assignments, seminars, labs, project work and the use of online learning resources.

Research and teaching are integrated throughout the study program. The teaching is constantly updated to encompass new knowledge, and research articles are part of the syllabus in many of the courses.

For the ACIT program, the third semester is designed to offer an opening for internationalisation and and the opportunity to take 30 ECTS of courses at an university outside of Norway and experience a different culture.

Only students taking the Short Thesis are eligible to travel abroad for a whole semester. Long thesis students are not eligible for a full semester abroad as they already have 20 ECTS of their schedule allocated to their master’s thesis in the third semester.

In the fourth semester, Short and Long thesis students may apply to carry out parts of their master’s thesis abroad. In such cases, students must apply to the ACIT Program Council for approval to travel abroad no later than the end of the third semester.

Requirements:

1. An average grade C in previously completed courses and a complete study progression for the two previous semesters.
2. An exchange agreement with the desired university or college must be in place before the student can apply.
3. Acceptance from a receiving professor or institution to an exchange-stay with the necessary academic relevance.
4. Information about requirements to travel abroad for an exchange semester:

https://student.oslomet.no/en/slik-soker-du

A coursework requirement is a compulsory piece of work/activity that must be approved before the student may take an examination. Coursework requirements are assessed "approved" or "not approved".

Not approved coursework requirements

Legitimate absence based on, for example, a medical certificate, does not exempt students from meeting the coursework requirements. Students who, due to illness or any other documented legitimate absence, do not meet the coursework requirements within the appointed deadline, should as far as possible be given a new attempt to meet the requirements before the relevant examination. An agreement with the relevant lecturer must be made in each individual case.

If, due to the nature of the subject/course, it is not possible to implement a new attempt to meet the requirements before the course exam, the student must expect to submit the coursework requirements at the next possible submission deadline. This may lead to a delay in progression through the Master's programme.

If a work requirement is assessed “not approved”, students have two chances to retake the work requirement. A work requirement that is assessed “not approved” three times, will result in loss of the right to take the course exam.

Mandatory attendance

In courses that require mandatory attendance, students must meet the minimum attendance requirement to pass the course. Failure to meet the minimum requirement will result in a loss of the right to take the course exam.

In cases where a student have a valid reason for absence due to illness or other legitimate reasons that can be documented, the teacher is responsible for making compensatory arrangement in order for the student to catch up on what he/she has missed. This could for example be a one-on-one tutorial or written assignment.

The administration processes all applications for exemptions.

Provisions governing examinations are laid down in the Act relating to Universities and University Colleges and the Regulations relating to Studies and Examinations at OsloMet.

Assessment methods vary between courses. They include written reports, portfolio assessments, written exams, oral presentations and oral exams.

A portfolio assessment provides an overall assessment awarding one grade for the whole portfolio. Students may only appeal against the determination of the examination grade awarded for the whole portfolio. Any information on weighting of grades must be considered as supplementary information in connection with the final grade. If the portfolio consists of elements such as an oral presentation, practical work etc., the examination result cannot be appealed against. The right to appeal is stated in the individual course descriptions.

If the examination in a course consists of more than one part, all parts of the examination must be passed in order to pass the course.

Normally each course has two internal examiners to assess students' work. Each semester one course will be chosen to include an external examiner, thus the students' work will be assessed by one external and one internal examiner. The Master's thesis is assessed by the two external examiners. Guidelines for master's theses at the Faculty can be found here: Retningslinjer for masteroppgaver ved Fakultet for teknologi, kunst og design - Student - minside (oslomet.no)

Quality assurance

The purpose of OsloMet's quality assurance system is to strengthen students' learning outcomes and development by raising the quality at all levels. Cooperation with the students, and their participation in the quality assurance work, is decisive to the overall learning outcome. Among the overall goals for the quality assurance system is to ensure:

• that the educational activities, including practical training and the learning and study environment, maintain a high level of quality
• that the study programmes are relevant for the professional fields
• that the quality development continues to improve

For the students, this entails, among other things, student evaluations in the form of:

• course evaluations
• annual student surveys for all of OsloMet

More information about the quality assurance system is available here: https://student.oslomet.no/regelverk#etablering-studium-evaluering-kvalitetssystem

Programme supervisor scheme

The programme supervisor scheme is part of the quality assurance of each individual study programme. A programme supervisor is not an examiner, but someone who supervises the quality of the study programmes. All study programmes at OsloMet shall be subject to supervision by a programme supervisor, but there are different ways of practising the scheme. Reference is made to the Guidelines for Appointment and Use of Examiners at OsloMet: https://student.oslomet.no/retningslinjer-sensorer