| Learning objectives |
The subject of the thesis must be within the
programme profile’s particular academic identity and theoretical
field(s).
Through the thesis project, the student should develop the ability
to
- Demonstrate the ability to independently produce a qualified
piece of research that applies relevant Data Science methods for
business and society and fulfils the standards of academic
writing
- Document in-depth knowledge about the thesis's subject
area, including the thesis topic's business and/or societal
context.
- Formulate a research question that has relevance to the Data
Science methods and steers the research process
- Motivate the choice of Data Science methods, prior literature
and/or theory used to address the research question
- Document the analysis through the selection and processing of
primary and/or secondary data sources and/or the development of
instantiations of a problem solution
- Discuss the quality of the analyzed sources or solutions,
including their suitability and validity in terms of providing
answers to the research question
- Explain and evaluate the overall coherence between the research
question, the selection and use of theory (if any), the applied
Data Science methods, the analysis, the conclusion, and the
generalizability of their findings to business and/or societal
context
- Discuss the findings of the thesis in the overall context of
the existing body of knowledge, either along the theoretical or
business perspectives
|
| Examination |
|
Master's
Thesis:
|
| Exam
ECTS |
30 |
| Examination form |
Oral exam based on written product
In order to participate in the oral exam, the written product
must be handed in before the oral exam; by the set deadline. The
grade is based on an overall assessment of the written product and
the individual oral performance, see also the rules about
examination forms in the programme regulations. |
| Individual or group exam |
Oral group exam based on written group
product |
| Number of people in the group |
2-3 |
| Size of written product |
Max. 120 pages |
|
The Master's Thesis should be written in
groups of two or three students.
The Master's thesis may also be written individually without
the need for a dispensation (individual contract).
- If the thesis is written by one student, the length is max. 80
pages.
- If the thesis is written by two students, the length is max. 120
pages.
- If the thesis is written by three students, the length is max.
160 pages.
The abstract is always max. 1 page. |
| Assignment type |
Master's thesis |
| Duration |
Written product to be submitted on specified date and
time.
75 min. per group, including examiners' discussion of grade,
and informing plus explaining the grade |
| Grading scale |
7-point grading scale
The student’s spelling and writing skills are taken into
consideration in the overall assessment of the examination
performance, but the academic content is given the highest
weight. |
| Regulations regarding the summary |
The summary is in English and is a part of the assessment.
For rules regarding individual exams, see your programme
regulations and my.cbs.dk.
. |
| Examiner(s) |
Internal examiner and external examiner |
| Exam period |
Summer |
| Make-up exam/re-exam |
Same examination form as the ordinary exam
If the student has submitted their
thesis, but is ill at the oral defense, a new defense will be
arranged as soon as possible based on the thesis already submitted.
If the student receives a non-passing grade at the regular exam,
they have used an exam attempt. It is then a requirement that the
Master’s Thesis contract is renewed, i.e. the student must further
clarify their original topic delimitation, which must then be
approved by the thesis coordinator.
|
Description of the exam
procedure
The exam form is an oral group exam.
Students may request to defend their thesis individually, even
if they have written in a group, by writing to the master
thesis office no later than 6 weeks before the submission
deadline.
The examination time includes time for the examiner to discuss
and inform the student about their grades and it depends on the
number of students:
- If the thesis is written by one student, the oral exam is 45
minutes.
- If the thesis is written by two students, the oral exam is 75
minutes.
- If the thesis is written by three students, the oral exam is 90
minutes.
Students are expected to bring their thesis to the exam. Also, they
are allowed to bring notes and presentation material to the
exam.
The exam begins with a presentation by the students (max. 10
minutes for one student, 15 minutes for two students, 20
minutes for three students) followed by a discussion between the
students and the examiners.
The grade awarded will reflect a holistic assessment of the
academic content of the thesis, formal aspects (e.g., correct
spelling and referencing), and the oral performance. Emphasis will
be placed on the academic content of the thesis (see learning
objectives).
|
|
| Course content, structure and pedagogical
approach |
|
The master’s thesis is the final assignment required to complete
the Data Science study programme. The subject of the thesis must be
within the programme profile’s particular academic identity and
theoretical field(s).
The thesis is to be motivated by a problem in business,
information technology and/or policy/law that is relevant to the
Data Science study program. The problem is to be addressed through
acknowledged research methods including, but not limited to, the
use of empirical and computational research methods.
Students identify a potential topic and develop their research
approach under the guidance of a supervisor. Finding a supervisor
is in the responsibility of the students (see
my.cbs.dk). Students embark on independent research
activities over multiple months in which they also successively
write up their work.
The supervisor can be used to give feedback at multiple
stages of this process, for example, on the topic delimitation,
planned methodology, thesis structure, as well as on drafts of
individual chapters of the thesis. Supervisors are not supposed to
review drafts of results and conclusion sections of the thesis
before the final hand-in deadline.
|
| Description of the teaching methods |
An introductory workshop will be held in
September - October.
The supervision process is described in the supervision plan, which
is agreed between the student(s) and the supervisor prior to
commencement of the thesis project. |
| Feedback during the teaching period |
| The students receive feedback from the supervisor
at the supervisor meetings. The frequency of meetings and their
content are agreed upon between the students and the
supervisor. |
| Student workload |
| Supervision, literature review, data collection, report
writing |
800 hours |
| Exam preparation and exam |
24 hours |
|
| Further Information |
|
Main Category of the Course:
- Data Science
- Business economics
- Communication
- Management of Information and Knowledge Management
- Information Systems
|
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