STUDY REGULATION for
Computer Science
CAND.SCIENT.
Version: 12
Valid per 1 september 2022
ROSKILDE UNIVERSITY
1
Table of contents
1.
2.
3.
4.
5.
6.
7.
8.
Study Regulation
1.1 The programme's name
1.2 Scope of the regulation
1.3 Title
The programme's objective, employment and competency profile
2.1 Objective
2.2 Employment
2.3 Competency profile
Language
Admission requirements
ECTS rating and duration
Board of Studies, Corps of External Examiners and Main area affiliation
6.1 Board of Studies
6.2 Corps of External Examiners
6.3 Main area affiliation
The programme's structure
7.1 Schematic structure of the programme
7.2 First semester
7.3 Second semester
7.4 Third semester
7.5 Fourth semester - Master Thesis
7.6 Transitional rules
7.7 Overall description of study activities
Approval
8.1 Approved by the Board of Studies
8.2 Approved by the Dean and the Vice-Dean
8.3 Approved by the Rector
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1. Study Regulation
1.1 The programme's name
Master programme in Computer Science
1.2 Scope of the regulation
This study regulation is determined pursuant to The University Programme Order No. 2285 of 1 December 2021 on
Bachelor and Master's (Candidatus) Programmes at Universities with any subsequent amendments and Roskilde
University’s common education regulations of 1 September 2022 with any subsequent amendments. The study
regulation will become effective on 1 September 2022 and applies to all students.
Rules and Regulations concerning registration and de-registration for courses, projects, thesis and examination and
regulations concerning start-of-studies examination, dispensations, mobility, credit transfer and pre-approval of credit
transfer are specified in RUC´s common education regulations.
1.3 Title
Graduates of the programme are awarded with the degree: Master of Science (MSc) in Computer Science
Graduates of the programme are awarded with the Danish title: cand.scient. i Datalogi
2. The programme's objective, employment and competency profile
2.1 Objective
The programme focuses on providing the graduate with competences to the development of complex IT systems that are
reliable, user-friendly, and long-lasting. The focus is to anchor software development in realistic settings and with actual
and current technologies. The student will learn to use state-of-the-art methods and techniques to analyse and construct
IT systems, including software, and to test and evaluate software systems. The graduates will achieve skills in the
application of software architecture and design principles for the development of complex IT systems as well as
documenting solutions and critically reflecting both system structure and the context in which solutions must operate.
The education provides opportunities for specialization in a range of areas including algorithms, programming
frameworks, complex IT systems, data science, artificial intelligence, business intelligence, internet of things, robotics,
and virtual technologies.
2.2 Employment
The education in Computer Science qualifies for work in the part of the IT sector that require deep technical
competences, both public and private, for instance, consulting houses, larger organizations in need of internal
development, R&D departments, development, and research departments at the large IT companies.
Possible job functions for graduates in computer science are software development, technical consultants, project
management and other job functions that require an education as a computer scientist, e.g., software engineer, software
architects, software designers, as well as job functions within the areas of data science, artificial intelligence, business
intelligence and physical computing.
2.3 Competency profile
Knowledge and understanding
Students must be able to:
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• know and understand research literature on techniques and theories for the analysis, design, and construction
of IT systems, including software engineering methods and principles, computer and system architecture,
algorithms, data representation and design principles for human to machine interfaces.
• demonstrate research-based knowledge and understanding of theories and methods for the analysis, design,
and implementation of IT applications, including system development methods and principles, IT
architecture, innovative use of IT as a product, service or process and the connection between IT solutions and
their use in applications.
• achieve advanced knowledge and understanding of certain specialized computer science areas, based on the
highest levels of international research.
Skills
Students must be able to:
• identify scientific research questions in relation to the analysis, design, and construction of complex software
systems.
• work critically with the selection and application of methods and techniques for the analysis, design, and
construction of software systems.
• program advanced software solutions using appropriate state-of-the-art programming languages, libraries,
development tools and equipment.
• test, validate and evaluate software systems and IT applications.
• design advanced IT solutions using appropriate state-of-the-art components or standard packages.
• communicate research-based knowledge and understanding about computer science and discuss professional
computer science-related research questions on a scientific basis with both colleagues and non-specialists.
Competencies
Students must be able to:
• construct complex IT solutions individually and in software development teams.
• organize, manage and implement complex IT projects that require new solutions.
• initiate and complete IT solutions that require interdisciplinary collaboration and take on professional areas
of responsibility.
• acquire new knowledge about new technologies and their application possibilities.
3. Language
The programme is offered in English.
The examination language is identical to the teaching language.
4. Admission requirements
The Board of Studies specifies the admission requirements following the Ministerial Order on Admission to and
Enrolment on Master’s Degree Programmes at Universities.
On the university’s website, the admission requirements are published as an appendix to the study regulation.
Changes in admission requirements are announced at least one year before the commencement of studies.
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5. ECTS rating and duration
The programme is a full-time programme corresponding to 120 ECTS and planned in preparation for a two years fulltime study.
6. Board of Studies, Corps of External Examiners and Main area
affiliation
6.1 Board of Studies
The programme falls under Board of Studies for Computer Science and Informatics
6.2 Corps of External Examiners
The programme falls under Computer Science
6.3 Main area affiliation
The programme falls under the main subject area natural sciences
7. The programme's structure
7.1 Schematic structure of the programme
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7.2 First semester
Objective
The first semester focuses on construction of complex IT systems and management of complex IT projects and systems
that are distributed and require focus on security and authentication. Students will gain in-depth knowledge and
understanding within the analysis, design, and construction of complex IT systems and skills to design, implement and
evaluate these. Furthermore, project management and agile development will be required to create solutions for
complex systems.
Study activities
• Complex IT Systems – Theory (15 ECTS)
• Complex IT Systems – Practice (15 ECTS)
7.3 Second semester
Objective
The second semester focuses on advanced data solutions and complex device systems, and on specialization in a selected
area of computer science, such as complex IT systems, artificial intelligence, or pervasive computing. The students will
achieve in-depth knowledge of research within the area and possibilities to apply this knowledge to real problems in
their projects.
Study activities
• Data & Things (10 ECTS)
• Specialization Course in Computer Science (5 ECTS)
• Specialization Project in Computer Science (15 ECTS)
7.4 Third semester
Objective
In this semester further specialization in selected state-of-the-art areas of computer science is offered by elective
courses and the semester project. The semester prepares students for the thesis by offering a research seminar.
Internship is possible this semester instead of the project.
Study activities
• Two elective courses in Computer Science (2 x 5 ECTS) or elective courses offerd in English by Digital
transformation
• Research Seminar in Computer Science (5 ECTS)
• Advanced Project in Computer Science (15 ECTS) or Project-oriented Internship in Computer Science (15
ECTS)
7.5 Fourth semester - Master Thesis
Objective
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The final semester academically concludes the study programme. The student should carry out a substantial academic
task, which fulfils the study programme’s scientific standards.
Study activities
• Master Thesis in Computer Science (30 ECTS)
7.6 Transitional rules
7.7 Overall description of study activities
•
•
•
•
•
•
•
•
•
•
Complex IT Systems – Theory (15 ECTS)
Complex IT Systems – Practice (15 ECTS)
Data & Things (10 ECTS)
Specialization Course in Computer Science (5 ECTS)
Specialization Project in Computer Science (15 ECTS)
Elective Course in Computer Science (5 ECTS)
Research Seminar in Computer Science (5 ECTS)
Advanced Project in Computer Science (15 ECTS)
Project-oriented Internship in Computer Science (15 ECTS)
Master Thesis in Computer Science (30 ECTS)
Title
Complex IT Systems – Theory
Type of activity
Course
Mandatory or elective
Mandatory
ECTS-rating
15 ECTS
Teaching language
English
Overall objective
Software engineering methods and principles, machine architecture and
operating systems, distributed systems, databases and human to
machine interactions. The course includes a presentation and critical
discussion as well as testing of knowledge and understanding of the core
areas in each of these subjects.
After completing this activity, students will be able to:
• demonstrate knowledge and understanding of key theories in
the core subject areas and techniques for the design and
construction of software systems meeting specific
requirements.
Overall learning outcomes
• show comprehensive overview of and understanding of the
general principles behind the hardware and software systems
that are part of modern computers and the users' interactions
with these.
• selecting and applying appropriate methods and techniques
from the subject area for the analysis, design, and construction
of software systems.
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• demonstrate competences in being able to work with IT issues,
both independently and in teams, and in being able to critically
and systematically learn new approaches to the subject area
and thereby independently take responsibility for one’s own
professional development.
Type of exam
Individual oral exam without time for preparation.
Time allowed for exam including time used for assessment: 30
minutes.
Type of exam
Permitted support and preparation materials: All.
Assessment: 7-point grading scale.
Moderation: External examiner.
Each semester the Board of Studies will choose the exam type if more
than one is listed.
Title
Complex IT Systems – Practice
Type of activity
Course
Mandatory or elective
Mandatory
ECTS-rating
15 ECTS
Teaching language
English
Overall objective
Construction of complex IT systems and management of complex IT
projects.
After completing this activity, students will be able to:
• construct complex IT solutions individually and in software
development teams and acquire new knowledge about new
technologies and their application possibilities.
• demonstrate knowledge and understanding of methods for the
analysis, design, and implementation of IT systems.
Overall learning outcomes
• assemble larger distributed systems, with data storage,
backends and frontends.
• use appropriate state-of-the-art programming languages,
libraries, development tools and equipment.
• demonstrate insight into the tools and libraries offered in
modern development environments and usage of future-proof
technologies.
Type of exam
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Type of exam
Group portfolio and oral exam.
Permitted group size: 2-6 students. Examples of written
products are exercise responses, talking points for
presentations, written feedback, reflections, written
assignments. The preparation of the products may be subject to
time limits.
The character limit of the portfolio is:
For 2 students: maximum 48.000 characters, including spaces.
For 3 students: maximum 48.000 characters, including spaces.
For 4 students: maximum 48.000 characters, including spaces.
For 5 students: maximum 48.000 characters, including spaces.
For 6 students: maximum 48.000 characters, including spaces.
The character limits include the cover, table of contents,
bibliography, figures and other illustrations, but exclude any
appendices.
Time allowed for exam including time used for assessment is
for:
2 students: 60 minutes.
3 students: 75 minutes.
4 students: 90 minutes.
5 students: 105 minutes.
6 students: 120 minutes.
The assessment is individual and based on the student's
individual performance.
The assessment is an overall assessment of the written
product(s) and the subsequent oral examination..
Permitted support and preparation materials at the oral exam:
All.
Assessment: 7-point grading scale.
Moderation: Internal co-assessor.
Each semester the Board of Studies will choose the exam type if more
than one is listed.
Title
Data & Things
Type of activity
Course
Mandatory or elective
Mandatory
ECTS-rating
10 ECTS
Teaching language
English
Overall objective
Advanced data solutions and complex device systems.
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After completing this activity, students will be able to:
• analyse, implement, and verify complex data solutions to solve
problems within complex IT systems.
• demonstrate knowledge of modern data storages, and data
engineering and science.
Overall learning outcomes
• understand and implement solutions that integrate
computation into the environment and use serval devises and
systems.
• design and implement coordination for systems with many
software and hardware components and interfaces suitable for
ubiquitous computing.
Type of exam
Individual oral exam based on a written product..
The character limit of the written product is maximum 48.000
characters, including spaces.
The character limits include the cover, table of contents,
bibliography, figures and other illustrations, but exclude any
appendices.
Type of exam
Time allowed for exam including time used for assessment: 20
minutes.
The assessment is an overall assessment of the written
product(s) and the subsequent oral examination.
Permitted support and preparation materials for the oral exam:
All.
Assessment: 7-point grading scale.
Moderation: Internal co-assessor.
Each semester the Board of Studies will choose the exam type if more
than one is listed.
Title
Specialization Course in Computer Science
Type of activity
Course
Elective
Mandatory or elective
It is mandatory to sign up for one of the specialization courses.
ECTS-rating
5 ECTS
Teaching language
English
Overall objective
Specialization within one of the core specialization areas of the program.
The student must acquire knowledge, skills and competences in order to
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translate theories, methods and solutions ideas into their own practice in
relation to software development.
1) Specialization course with a focus area towards algorithms,
programming frameworks and complex IT systems. 2) Specialization
course with a focus area towards data science, artificial intelligence and
business intelligence. 3) Specialization course with a focus area within
e.g. internet of things, robotics and virtual technologies.
After completing this course, students will be able to:
• demonstrate knowledge and understanding of one or more of
the specialization areas and the area’s techniques for designing
and constructing complex software systems.
Overall learning outcomes
• know and understand the general principles behind the
specialization area’s theory, methods, and technological
solutions.
• elect and apply appropriate methods and techniques from the
specialization area to analyse, design and construct reliable and
user-friendly systems.
• become proficient in new approaches to the specialization area.
Type of exam
Individual oral exam based on a written product..
The character limit of the written product is maximum 48.000
characters, including spaces.
The character limits include the cover, table of contents,
bibliography, figures and other illustrations, but exclude any
appendices.
Type of exam
Time allowed for exam including time used for assessment: 20
minutes.
The assessment is an overall assessment of the written
product(s) and the subsequent oral examination.
Permitted support and preparation materials for the oral exam:
All.
Assessment: 7-point grading scale.
Moderation: Internal co-assessor.
Each semester the Board of Studies will choose the exam type if more
than one is listed.
Title
Specialization Project in Computer Science
Type of activity
Project
Mandatory or elective
Mandatory
11
ECTS-rating
15 ECTS
Teaching language
English
Overall objective
The project work is problem-oriented and must develop the student's
skills in applying theories and methods within a defined academic topic.
The project work involves a self-chosen problem in relation to one or
more of the selected specializations. The project must give the student
the opportunity to describe and reflect over independently performed
work, in which complex issues are addressed.
After completing this activity, students will be able to:
• demonstrate advanced knowledge and understanding of certain
specialized computer science areas.
• identify scientific questions in relation to the analysis, design,
and construction of software systems.
• work critically with the selection and application of methods
and techniques.
Overall learning outcomes
• communicate research-based knowledge and understanding
about computer science.
• discuss professional computer science-related research
questions.
• construct complex IT solutions individually and in software
development teams.
• organize, manage, and implement complex IT projects that
require new solutions.
• initiate and complete IT solutions that require interdisciplinary
collaboration.
Type of exam
Oral project exam in groups with individual assessment
Permitted group size: 2-6 students.
Type of exam
The character limits of the project report are:
For 2 students: 4,800-180,000 characters, including spaces.
For 3 students: 4,800-192,000 characters, including spaces.
For 4 students: 4,800-192,000 characters, including spaces.
For 5 students: 4,800-204,000 characters, including spaces.
For 6 students: 204,000-204,000 characters, including spaces.
The character limits include the cover, table of contents,
summary, bibliography, figures and other illustrations, but
exclude any appendices.
Time allowed for exam including time used for assessment is
for:
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2 students: 60 minutes.
3 students: 75 minutes.
4 students: 90 minutes.
5 students: 105 minutes.
6 students: 120 minutes.
Writing and spelling skills in the project report are part of the
assessment.
Permitted support and preparation materials at the oral exam:
All
Assessment: 7-point grading scale.
Moderation: Internal co-assessor.
Each semester the Board of Studies will choose the exam type if more
than one is listed.
Title
Elective Course in Computer Science
Type of activity
Course
Mandatory or elective
Elective
ECTS-rating
5 ECTS
Teaching language
English
Overall objective
With an elective course, the student has the opportunity to specialize in a
specific subject area where the student acquires knowledge, skills and
competences in order to translate theories, methods and solutions ideas
into their own practice in relation to software development. Examples of
elective courses: Robotics, AI, internet technologies, programming
language, parallel calculation, mobile computers, etc.
After completing this course, students will be able to:
• know and understand a specific subject area in computer
science.
• demonstrate knowledge and understanding of the area’s
techniques for designing and constructing software systems
that meet specific requirements.
Overall learning outcomes
• show knowledge and understanding of the general principles
behind the subject area’s theory, methods, and technological
solutions.
• work on computer science related issues, both independently
and in teams, and proficient in new approaches to the subject
area in a critical and systematic way and thereby independently
take responsibility for one’s own professional development.
Type of exam
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Type of exam 1
Individual oral exam without time for preparation
Time allowed for exam including time used for assessment: 20
minutes.
Permitted support and preparation materials: All.
Assessment: 7-point grading scale.
Moderation: Internal co-assessor.
Type of exam 2
Individual oral exam based on a written product
The character limit of the written product is maximum 48,000
characters, including spaces.
The character limits include the cover, table of contents,
bibliography, figures and other illustrations, but exclude any
appendices.
Time allowed for exam including time used for assessment: 20
minutes.
The assessment is an overall assessment of the written
product(s) and the subsequent oral examination.
Permitted support and preparation materials for the oral exam:
All.
Assessment: 7-point grading scale.
Moderation: Internal co-assessor.
Type of exam 3
Individual written take-home assignment
The character limit of the assignment is: maximum 48,000
characters, including spaces.
The character limit includes the cover, table of contents,
bibliography, figures and other illustrations, but exclude any
appendices.
The students start writing the take-home assignment during the
course. The duration is 10 weeks and may include public
holidays. The submission deadline will be announced on
study.ruc.dk.
Assessment: 7-point grading scale.
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Each semester the Board of Studies will choose the exam type if more
than one is listed.
Title
Research Seminar in Computer Science
Type of activity
Course
Mandatory or elective
Mandatory
ECTS-rating
5 ECTS
Teaching language
English
Overall objective
The course is designed to prepare the students for their subsequent
master’s thesis in Computer Science. The course enables the students to
describe a specific area of specialization and prepare a draft of the
research question within the subject area. During the course, the
students will find and select key, relevant peer-reviewed research
publications within the subject area.
After completing this course, students will be able to:
• demonstrate advanced knowledge and understanding of a
selected specialized computer science area based on the highest
levels of international research.
• work independently on research-based questions in the field of
computer science.
• take responsibility for one’s own professional development and
specialization in the field of computer science.
Overall learning outcomes
• communicate research-based knowledge and understanding of
computer science and discuss professional computer sciencerelated research questions on a scientific basis with both
colleagues and non-specialists.
• work with IT issues both independently and in teams and be
able to become proficient in new computer science subject
areas in a systematic and critical way and independently take
responsibility for one’s own professional development and
specialization.
Type of exam
Individual oral exam based on a written product..
Type of exam
The character limit of the written product is maximum 48.000
characters, including spaces.
The character limits include the cover, table of contents,
bibliography, figures and other illustrations, but exclude any
appendices.
Time allowed for exam including time used for assessment: 20
minutes.
The assessment is an overall assessment of the written
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product(s) and the subsequent oral examination.
Permitted support and preparation materials for the oral exam:
All.
Assessment: 7-point grading scale.
Moderation: Internal co-assessor.
Each semester the Board of Studies will choose the exam type if more
than one is listed.
Title
Advanced Project in Computer Science
Type of activity
Project
Elective
Mandatory or elective
It is mandatory to sign up for either the Advanced Project in Computer
Science or Project-oriented Internship in Computer Science.
ECTS-rating
15 ECTS
Teaching language
English
Overall objective
The project work is problem-oriented and must develop the student's
skills in applying theories and methods within a defined academic
computer science topic. The project work involves a self-chosen problem
in relation to the design and implementation of an IT application in a
complex context. The project gives students the opportunity to describe
and reflect upon independently completed work dealing with a complex
research question.
After completing this course, students will be able to:
• demonstrate knowledge and understanding of the latest
theories and methods within the selected computer science
subject area.
Overall learning outcomes
• describe and reflect upon independently completed work
dealing with a research question related to a selected computer
science subject.
• define and justify a selected research question and
independently plan and complete the solution using relevant
high-level scientific literature.
• manage complex IT development situations that require new
solution models.
Type of exam
Type of exam
Oral project exam in groups with individual assessment.
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Permitted group size: 2-6 students.
The character limits of the project report are:
For 2 students: 4,800-180,000 characters, including spaces.
For 3 students: 4,800-192,000 characters, including spaces.
For 4 students: 4,800-192,000 characters, including spaces.
For 5 students: 4,800-204,000 characters, including spaces.
For 6 students: 4,800-204,000 characters, including spaces.
The character limits include the cover, table of contents,
summary, bibliography, figures and other illustrations, but
exclude any appendices.
Time allowed for exam including time used for assessment is
for:
2 students: 60 minutes.
3 students: 75 minutes.
4 students: 90 minutes.
5 students: 105 minutes.
6 students: 120 minutes.
Writing and spelling skills in the project report are part of the
assessment.
Permitted support and preparation materials at the oral exam:
All
Assessment: 7-point grading scale.
Moderation: Internal co-assessor.
Each semester the Board of Studies will choose the exam type if more
than one is listed.
Title
Project-oriented Internship in Computer Science
Type of activity
Project
Elective
Mandatory or elective
It is mandatory to sign up for either the Advanced Project in Computer
Science or Project-oriented Internship in Computer Science.
ECTS-rating
15 ECTS
Teaching language
English
Overall objective
Completing an internship at an academically relevant workplace for the
purposes of gaining first-hand knowledge of typical work tasks and more
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experience with the connection between professional practice and the
programme’s academic content.
After completing this course, students will be able to:
• demonstrate knowledge and understanding of theories and
methods in a selected computer science subject area and how
they are used in practice.
Overall learning outcomes
• apply and evaluate the subject’s theories and methods to solve
concrete computer science tasks in practice.
• reflect upon the professional competences needed to
participate in solving concrete computer science research
questions in practice.
• reflect upon one’s own learning process and how the acquired
knowledge and understanding, skills and competences can be
used to work on the internship project’s research questions.
Type of exam
Oral exam based on project oriented internship report
The character limit of the internship report is: maximum
48,000 characters, including spaces.
The character limits include the cover, table of contents,
bibliography, figures and other illustrations, but exclude any
appendices.
Time allowed for exam including time used for assessment: 30
minutes.
Type of exam
The assessment is an assessment of the report and the oral
performance.
Writing and spelling skills in the report are part of the
assessment.
Permitted support and preparation materials for the oral exam:
All.
Assessment: 7-point grading scale.
Moderation: Internal co-assessor.
Each semester the Board of Studies will choose the exam type if more
than one is listed.
Title
Master Thesis in Computer Science
Type of activity
Master Thesis
Mandatory or elective
Mandatory
18
ECTS-rating
30 ECTS
Teaching language
English
Overall objective
The thesis academically concludes the study program. It should be done
in the area of computer science, as specified in section 2 “The
programme's objective, employment and competency profile”. The
objective of the course of study is to carry out a substantial academic
task, which fulfils the study program’s scientific standards. Through
working on the thesis, the student should develop thorough knowledge of
a topic of his or her own choosing. This must be within the parameters of
the academic field of study and must be based on the relevant scientific
literature of the field. The thesis must further develop the student’s
ability to independently structure his or her own work processes,
including the ability to plan, organize, and create a substantial academic
work as well as the ability to identify the need for the independent
acquisition of new knowledge, and the ability to communicate his or her
work in a clear and intelligible fashion.
After completing this course, students will be able to:
• demonstrate research-based knowledge of selected subject
areas and demonstrate an understanding of and reflection on
how one’s own thesis research fits into its academic context.
• know and understand the academic genre and the academic
target group to which the master’s thesis is addressed.
• use and master scientific theories and methods while working
with a defined, professional and relevant research question.
• identify scientific research questions.
Overall learning outcomes
• analyse, categorize, discuss, argue, reflect and evaluate on a
scientific basis.
• critically address and choose scientific sources, literature,
theory and methods.
• discuss and participate in academic argumentation.
• write in accordance with academic text norms and for an
academic target group.
• independently initiate, manage and complete a long-term
academic research and writing process.
• identify and take responsibility for their own professional and
written language development and specialization.
Type of exam
Master thesis written individually or in a group. Permitted
group size: 2-4 students.
Type of exam
The student(s) can choose whether the assessment should be
based on solely the written product or on both the written
product and the oral exam.
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The character limits of the master thesis are:
for 1 student: 40,800-192,000 characters, including spaces.
For 2 students: 40,800-192,000 characters, including spaces.
For 3 students: 40,800-204,000 characters, including spaces.
For 4 students: 40,800-204,000 characters, including spaces.
The character limits include the cover, table of contents,
summary, bibliography, figures and other illustrations, but
exclude any appendices.
The master thesis must include a summary. The summary can
either be written in English or Danish.
The summary is included in the overall assessment.
Before submitting a master thesis written by a group, that have
chosen an assessment solely based on the written product, each
member of the group must clearly indicate which part(s) of the
thesis they are responsible for.
All group members are responsible for the introduction,
conclusion and summary.
The oral exam is individual for students that have written the
thesis alone, or students that have requested an individual
exam. All other oral master thesis exams are conducted as
group exams.
The oral exam, if relevant, will be based on the master thesis.
The students begin the exam with a presentation (10 min per
student), followed by a dialogue between the student, examiner
and external examiner.
There may be posed questions related to the subject area(s) that
the master thesis covers.
Time allowed for exam including time used for assessment for:
1 student: 30 minutes.
2 students: 60 minutes.
3 students: 75 minutes.
4 students: 90 minutes.
There will be an individual assessment of each student’s
performance.
The assessment is an overall assessment of the master thesis
and, where relevant, the oral performance.
Writing and spelling skills in the thesis are part of the
assessment and will count for 5 percent.
Permitted support and preparation materials at the oral exam:
All.
Assessment: 7-point grading scale.
Moderation: External examiner.
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Each semester the Board of Studies will choose the exam type if more
than one is listed.
8. Approval
8.1 Approved by the Board of Studies
Studienævn for Datalogi og Informatik on 30 June 2021.
The chairperson for external examiners and the panel of employer representatives are informed about major
amendments before the study regulation comes into force.
8.2 Approved by the Dean and the Vice-Dean
Approved by the Dean and the Vice-Dean ofDepartment of People and Technology on 12 October 2021.
8.3 Approved by the Rector
Approved by Rector Hanne Leth Andersen on 27 October 2021.
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