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Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title Research Methods
Module Code MT5217
School DCUBS
Module Co-ordinatorSemester 1: James Byrne
Semester 2: James Byrne
Autumn: James Byrne
Module TeachersBridget Kane
James Byrne
NFQ level 9 Credit Rating 5
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None

This module examines what it means to conduct research for operations, with the overarching objective to support students in critically evaluating research designs, methodologies and methods appropriate to different research questions and approaches in the the field of Operations. This includes devising a research question, conducting a literature review, individual research methods (and how they might work together) and academic writing skills.

Learning Outcomes

1. understand generally theoretical statistical concepts
2. Evaluate and describe good ethical practice in research relating to Operations
3. Understand how to define and select a sample from a population with an appreciation of associated difficulties and complexity involved
4. Understand how to categorise data, report descriptively and conduct appropriate analysis according to data type
5. Conduct appropriate analysis and understand the use of statistical tests
6. Understand the use of graphical representations of data

Workload Full-time hours per semester
Type Hours Description
Directed learning14Study course material and core textbooks
Independent Study62Source and study additional material related to course and engage with online content
Online activity9Use the online discussion forum for discussion and engage with additional online resources
Lecture8Theoretical approaches to knowledge development
Tutorial8Online tutorial
Assignment Completion24Prepare an assignment according to given criteria
Total Workload: 125

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Research Hypothesis and the Null Hypothesis

Constructing a Research Question

Philosophical approaches to scientific research

Ethical practice in research relating to Operations

Defining a population

Selecting a sample from a population, and difficulties associated with sampling a population.

Categorisation of different types of data

Descriptive statistics

Analysis according to data type

T-Test, Chi Square and Mann Whitney tests


Regression analysis

Analysis of Variance (AnoVa)

Graphical representations of data

Citing and referencing

Assessment Breakdown
Continuous Assessment100% Examination Weight0%
Course Work Breakdown
TypeDescription% of totalAssessment Date
AssignmentInitial Research Assignment30%n/a
Report(s)Final Research Report70%n/a
Reassessment Requirement Type
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
This module is category 1
Indicative Reading List

  • Robson, C: 0, Real World Research, 4th Edition: A Resource for Users of Social Research Methods in Applied Settings, 4th, Wiley Hoboken, 9781118745236
  • Field, A.: 0, Discovering Statistics using IBM SPSS, 4th, Sage, 97814462491
Other Resources

Programme or List of Programmes
MCTMSc in Management of Clean Technologies
MISSMSc in Mgmt Information Systems Strategy
MOPSAMSc in Management of Operations
MSDMSc in Mgmt for Sustainable Development
MSISAMSc Mngt of Internet Enterprise Systems

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