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Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title Digitalisation & Business Analytics- Aviation
Module Code MT5242
School DCUBS
Module Co-ordinatorSemester 1: Viktoriia Ivannikova
Semester 2: Viktoriia Ivannikova
Autumn: Viktoriia Ivannikova
Module TeachersMarina Efthymiou
Viktoriia Ivannikova
NFQ level 9 Credit Rating 7.5
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Coursework Only

Technology and the rise of big data and data analytics are having a significant impact on business decision-making, including operations. This microcredential module introduces participants to the concepts of digitalisation of aviation operations and the principles of data analytics. The main objective of this micro- credential module is to introduce the student to the main digital technologies used in aviation and the fundamental tools and techniques of using data analytics ethically to support sustainable business decisions. This micro is benefited by industry engagement and involvement in the form of guest lectures and case studies.

Learning Outcomes

1. Explain the key concepts of big data and data analytics, the business case for data analytics, and how it interacts with international aviation operations and strategies in practice
2. Describe the types of analytical tools and statistical modelling techniques available to analyse business data and assess their suitability for different types of business problems.
3. Explain what the digital transformation is, and how the digitalisation of services and products has evolved within the aviation industry
4. Critically evaluate different digitalisation options, their push and pull factors as well as their value for the industry

Workload Full-time hours per semester
Type Hours Description
Lecture21Lecture (on-campus and synchronous online)
Assignment Completion76Completion of research for assignment and assignment preparation and documentation
Directed learning60Reading assigned materials for class, such as cases, articles and web sources.
Independent Study30.5Reading, research, library work
Total Workload: 187.5

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

Introduction to Big Data and Analytics
What are Big Data and Data Analytics? Growth of Big Data; Business Case for Big Data; Barriers to using Big Data, including Ethical Concerns; Big Data and aviation.

Data Types and Structure and data analytics tools
What are the different types of data types? What is the difference between structured and unstructured data? Which types of data sources are aviation businesses using to make decisions? How can digital operations be integrated with data analytics? An overview of the variety of Statistical Software, Data Programmes, Databases & languages, Business Intelligence Tools, and Visualisation Tools available to analyze business data.

Introduction to digitalization
What is digitalisation? What is the business case for digitalization? Which operations can be digitalized and with what criteria? What are the push and pull factors?

Digitalisation in aviation practices
What is BlockChain? Biometrics for airport security? Airport 3.0 for optimized flow monitoring? Internet of Things (IoT)? AI and VR for pilot training? 5G?

Case Studies and Guest Lectures
A variety of case studies and guest lectures focused on how aviation is/can be digitalized and how data analytics is applied in practice in the aviation world.

Assessment Breakdown
Continuous Assessment100% Examination Weight0%
Course Work Breakdown
TypeDescription% of totalAssessment Date
AssignmentThe students need to develop/discuss a case study for an aviation company on the digitalization of operations and the use of business analytics principles.100%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

  • Azizul Hassan,Nor Aida Abdul Rahman: 2022, Digital Transformation in Aviation, Tourism and Hospitality in Southeast Asia, Routledge, 9781032324654
  • Thomas L. Seamster,Barbara G. Kanki: 0, Aviation Information Management, 9781138258280
  • Soraya Sedkaoui,Mounia Khelfaoui,Nadjat Kadi: 0, Big Data Analytics, 9781771889568
  • SERGEY V. SAMOILENKO: 2022, Digitalization, Routledge, 9781032114095
Other Resources

Programme or List of Programmes
GCASLIGraduate Certificate in Aviation
MSALMSc in Aviation Leadership

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