DATA MINING MASTERSLearning. Research. Application.
MSc in Computer Science in Applied Data Science and Analytics — original ITB programme banner
Data Mining Masters

MSc Research Project

Students have two options regarding their research project module. You can opt to do:

a) If you have completed six taught modules you will do a one semester, 30-credit research project.

b) If you have completed three taught modules you may consider doing a 60-credit research project, which runs from semester 2 to semester 4.

Both research project modules are describe below.

30-credit research project

Module aims

Independent research project to give learners the experience of developing an individual computing project

at postgraduate level. Learners will demonstrate their responsibility for substantial independent working and

a full project from problem specification through to implementation and evaluation.

Module learning outcomes

  • Investigate various approaches to research enquiry and develop a research proposal.
  • Write a literature review for selected research questions by reporting on relevant existing research demonstrating appropriate academic citation and referencing.
  • Demonstrate the purposes and procedures involved in data gathering techniques, data analysis and discussion of results.
  • Dissemination of results through presentations and research thesis documentation.

60-credit research project

Module aims

This research module builds on your existing postgraduate experience to enable you to complete your

training as a researcher. You’ll develop a research proposal by identifying and explaining a research

problem relevant to your MSc. Your research will involve a literature review, data collection, data analysis,

results and conclusions. You will then communicate the outcome of your research through presentations

and dissertation report.

Module learning outcomes

  • Demonstrate self-direction and originality in planning tasks and solving problems during a research project.
  • Prepare a comprehensive review or critical evaluation of existing research literature and/or professional guidance on a specific topic.
  • Evaluate the research findings in relation to applicable techniques, theoretical limitations and experimental or design considerations.
  • Analyse data showing originality in its interpretation in relation to scientific literature.
  • Synthesise appropriate conclusions and findings through knowledge and systematic understanding of the research process and any limitations of the work.
  • Communicate the outcomes of research to professional standards through a dissertation, poster and oral presentation.

Original material captured 2018-11-24 · View source