Aims and Fit of Module
The aim of this module is to enable students to undertake a significant piece of independent research in the field of Business Analytics (BA). This module provides students with opportunities to: (i) apply their knowledge from other parts of the programme to analyse contemporary and cutting edge problems and issues of relevance to scholars and practitioners (or both); (ii) deepen their knowledge and understanding of a particular programme related topic of interest to them; (iii) produce a complete piece of scholarly work from conception through to a final thesis; (iv) argument their intellectual, transferable and employability skills and, it follows, their career prospects, and (v) make an original contribution to knowledge that could potentially serve as a basis for a more advance study.
Students should identify, define and explore one or more problems or issues at the forefront of Business Analytics as an academic discipline.
To successfully complete this module, students should identify, define, evaluate, synthesise and apply knowledge to investigate, diagnose, structure and gain insight into a challenging management issue or problem. This may be achieved by means of: (i) an in-organisation project (conducted either during the course of an internship or through other connections with the organisation), (ii) through surveys or other methods of obtaining primary data, (iii) through collection and analysis of secondary data, (iv) a library-based study, or (v) through a combination of these approaches.
Learning outcomes
A Demonstrate a substantial and systematic understanding of current and recent research, theory and advanced scholarship in the areas of Business Analytics and its related disciplines that are of relevance to their research topic
B Critically evaluate and apply knowledge and skills acquired throughout the programme to the identification and framing of specific research questions at the forefront of Business Analytics as a discipline
C Investigate questions and problems through the design and implementation of a research strategy and methodology appropriate to advanced study in their field
D Demonstrate appropriate academic rigour in the acquisition, organization, critical analysis and presentation of conceptual and empirical materials obtained from primary and secondary sources
E Accurately, coherently and persuasively communicate the research project, methodology and findings in an oral presentation
F Successfully produce a well-written, coherent and well-presented piece of work that makes an original and reflexive contribution to knowledge whilst demonstrating good scholarship and confirming fully to standard academic conventions in the field of Business Analytics and its related disciplines
G Demonstrate a sound understanding of research ethics appropriate to the research topic
H Think, learn and work independently whilst demonstrating initiative, responsibility, self-discipline, self-motivation, self-direction and originality in talking and solving research problems in business analytics
Method of teaching and learning
There are several elements to the method of learning and
teaching in this module:
First, private and independent research is undertaken by the
student with the support and advice of a supervisor from IBSS
faculty (allocated by the Programme Director) during regular
meetings and consultations that begin in semester 2. Students
are expected to take at least 30 hours/week to conduct private
studies beyond their supervision-meeting slots with
supervisors.
Second, throughout the dissertation-preparation semester,
students are required to complete a total of 24 hours of
lectures. These sessions are designed to provide essential
guidance for successfully completing a master-level
dissertation. The curriculum will focus on developing crucial
skills, including effective time management to meet deadlines,
identification of relevant business and economics-related
dissertation topics, and strategies for conducting
comprehensive literature reviews to formulate specific research
questions. Additionally, the lectures will offer practical
training in data collection and analysis techniques, as well as
the development of critical skills in interpreting, discussing,
and effectively communicating research findings. The program
will also emphasize the importance of presenting empirical
results and drawing well-supported conclusions in academic
writing.
Third, students are required to deliver an Interim Presentation
On Progress about their research proposal and their research
progress at the beginning of Semester 1 (Year 2) which is
summatively assessed and on which feedback is given by the
Programme Director, the supervisor, and the marker(s).
All these will serve to keep all parties concerned up-to-date
about the research progress with a number of formal check-point
mechanisms so that the supervisor and the Programme Director
are in a position to provide the student with support, trouble
shooting advice and feedback should this be required.