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  • by TEST
  • Course level: Intermediate
  • Duration 3m
  • Last Update October 26, 2021


This course, Post-Graduate Diploma (PGD) in Advanced Business & Economic Research Methods, is a novel, multidisciplinary course
that combines knowledge from several fields of study including philosophy, psychology, economics, statistics, research methods, econometrics,
statistical computing, machine learning, data mining, data science and computational intelligence. Ideally, students need to take the separate courses on each of the above-stated fields of study, which normally takes a much longer time to complete. However, today’s business and
economic challenges are so sophisticated to the extent that they require a multi-disciplinary approach to solve. Therefore, for students/clients
whose job specifications and descriptions require them to have a broad base of knowledge from interdisciplinary fields, the TREMMBiT Consult,
normally, upon discussions with such clients, is able to design novel, innovative courses that are tailored to equip these clients
(students/trainees) with the requisite knowledge base, information, and practical software tools that would make them more effective, efficient
and successful in the workplace.

What Will I Learn?

  • y the end of the course, students should be able to:
  • 1. Make use of Microsoft Office Suite to deal with basic problems related to information management.
  • 2. Understand how to use Microsoft Excel to perform basic functions, PowerPoint to Presentation, and MS Word for Report Writing.
  • 3. Use other online tools and search engine such as google for information search and retrieval.
  • 4. Learn some basic things about emails management.
  • 5. Make use of some important software for data analysis, quantitative and econometric modelling, including but not limited to Microsoft
  • Word, Excel, IBM SPSS STATISTICS 25, EVIEWS 10, STATA 15, Qiqqa, etc.
  • 6. Participants will also learn about how to write and publish a Research Report. Other critical issues in Research Report Writing such as
  • Plagiarism and how to detect and minimise it using some software such as Plagius Plagiarism Detector, Plagiarism Detector X,
  • Antiplagiarism, and QuillBot are discussed. In addition, participants will learn to deal with spelling mistakes, grammatical errors, wrong
  • sentence constructions, and topography, using the Grammarly and Antidote software, and other online rewording tools. Finally,
  • participants will also learn how to do both in-text and list of references using Microsoft Word and other online tools, together with
  • understanding how to write an Abstract/Executive Summary of research projects or Management Report.
  • 7. Conduct independent scientific research, collect data, and apply basic and advanced statistical tools to the data, and use the most
  • appropriate desktop-based software and web applications, to analyse business, financial data and economic data, and write
  • Management Reports that would aid effective and efficient organizational decision-making.

Topics for this course

36 Lessons3m

PGDBER 101 Introduction to ICT for Business & Economics Research

The Concept of Information & Data00:00:00
Types of Data00:00:00
Part II: Basic ICT Tools for Business & Economic Research00:00:00
Report Writing Tools: Microsoft Office Suite (Word)00:00:00
Spreadsheet Tools: MS Excel00:00:00
Presentation Tools: MS PowerPoint00:00:00
Storage & Data Management Tools: MS Access & Data Base etc.00:00:00
Online Search Tools: Google, Google Scholar, Yahoo etc.00:00:00
Literature Review Tools: Qiqqa00:00:00
Citation & Reference Management Tools: MS Word,, Endnote00:00:00
Spelling and Grammar Checking Tools: Grammarly, PerfectIt & Antidote.00:00:00

PGDBER 102 Business & Economic Research Methods (Theory)

PGDBER 103 Fundamentals of Academic Proposals, Thesis, Dissertations and Report Writing (Theory & Applications)

PGDBER 104 Introduction to Qualitative, Quantitative (Survey) & Mixed Research Designs & Data Analyses

About the instructor

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5 Courses

2 students


Material Includes

  • Coffee, Lunch, 8 Software Applications (i.e., Qiqqa, Antidote, Endnote, Grammarly, PerfectIt, EVIEWS, IBM SPSS STATISTICS, STATA
  • Lecture Notes (PDFs of PowerPoint slides), 2 Econometrics Text Books (hard copies), other E-books, A Supervised Business/Economics
  • Research Project, Publication of Research Article, Certificate, Transcript, Graduation (Gown cost, Pictures, and Video of Executive
  • Student during Graduation).


  •  No prior knowledge of any of the subjects/topics are assumed.
  •  A Laptop with Windows 8 or 10 OS. Processor; Intel(R) CPU B940 @ 2.00 GHz
  •  Installed Memory (RAM): 4.00 GB or higher
  •  Local Hard Drive Space (Drive C): 250 GB or higher
  •  System Type; 64-bit Operating System, x64-based processor with ALL THE REQUIRED SOFTWARE INSTALLED.

Target Audience

  • Graduate (Master’s and Doctoral) thesis Students, and aspiring or practising Business Intelligence Consultants, Statisticians, Economics and Other
  • Social Science Researchers, Academicians, (Lecturers and Senior Lecturers) can enrol in the program. Practicing or aspiring Data Scientists,
  • Financial Analysts, Financial Economists, And Marketing Researchers, Economic Policy Analysts and all, who want to learn how to harness and deploy
  • the power of research methods and data analysis techniques to solve complex business, organisational, academic, economic, social, and life problems, can also
  • enrol in this powerful program.