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Module Descriptor School of Computer Science and Statistics

Module CodeCS8005-1718
Module NameDissertation
Module Short TitleN/a
Semester TaughtFrom October to submission date of 1st May 2018
Contact Hours

Students complete a dissertation through independent research, supported by a research supervisor. Students are required to submit samples of work in progress (chapters, Gantt chart, table of contents, etc.) to their supervisors throughout the year.

Module PersonnelAssigned Supervisors (supervisors are assigned during the first semester)
Learning Outcomes

Upon successful completion of the module, students should be able to :

  • Apply the research process to investigate a topic in the area of IT management;
  • Be aware of and apply a range of research methodologies, data collection and analysis techniques applicable to IT research;
  • Produce a dissertation of approximately 20,000 words;
  • Demonstrate the higher order thinking skills of analysis, synthesis and evaluation.
Learning Aims

Each student will undertake a substantial individual research project leading to submission of a dissertation. The topic of the research project will be chosen in consultation with the Course Director and Assistant Prof Nina Bresnihan as part of the module CS8002.


It is expected that the dissertation will be of a publishable standard.

Module Content
  • The research process & its key principles
  • Research methods
  • Data collection Instruments
  • Data analysis
  • Report Writing
Recommended Reading List

See Research Methods Module Descriptor (CS8002)

Module Prerequisites

Successful completion of CS8002 – Research Methods
Successful completion of year 1 of the MSc in Management of Information Systems

Assessment Details

The assessment of this module requires each student to complete a research study and submit a dissertation.

The dissertation will be examined by the supervisor, a second reader and, occasionally, a third reader. The student may be required to attend a Viva (oral examination).

All dissertations are reviewed by the External examiner.

Module Website
Academic Year of Data2017/18