Business Analysis and Valuation

In today’s competitive world, analytics plays a vital role in driving a successful business. A good manager is a good business analyst who translates data to the right solutions to satisfy business needs. However, being a business analyst certainly requires technical skills along with managerial skills. Those technical skills will assist the managers to analyse the insights of data. This course will help to learn those key skills required by a business analyst. Being the basis of a wide range of business analyses, financial statements are the commonly used performance measure to monitor and judge a firm’s performance relative to competitors. Consequently, this course will offer a guided knowledge to help judge what financial policies a firm should pursue and how to evaluate new business opportunities while investing.

This short course will familiarise participants, especially those who engage with day-to-day decision-making in their business or are interested to plan to follow that career path. This course and accompanying short case studies will facilitate both tactical and operational level complex decision problems under uncertainties.

No prior knowledge is assumed, however, basic skills in Microsoft Excel, and knowledge of High School level maths would be an advantage.

Duration: 2 Days

Delivery Mode: Live simulcast

Presenter Information



Dr Ripon K. Chakrabortty (Member, IEEE) is the Deputy Director (acting) of the Capability Systems Centre (CSC) and lecturer on System Engineering & Project Management at the School of Engineering and Information Technology, the University of New South Wales (UNSW Australia), Canberra. He is also the program coordinator for Master of Decision Analytics & Master of Engineering Science programs in UNSW Canberra at ADFA. Dr Chakrabortty leads the optimisation and machine learning efforts in the Capability System Centre. He is currently the Group Leader of Cross-Disciplinary Optimisation Under Capability Context Research Team. He obtained his PhD from the UNSW Canberra at ADFA in 2017, while completed his MSc and BSc from Bangladesh University of Engineering & Technology on Industrial & Production Engineering in 2013 and 2009 respectively. As an educator and active researcher in his field, his focus is to deliver authentic teaching by pursuing real-life and practical knowledge to diversified students. Inarguably, his research involvement in the discipline of 'Decision Analytics', 'Applied Operations Research', 'Systems Engineering & Project Management', 'Industry 4.O' aids him to expose knowledge gaps in the body of knowledge. Whilst, his main role as an educator has been to augment the 'critical thinking skill' among students to bridge those gaps. He along with his team members have been making a good impact on applying different optimisation principles in artificial intelligence, electrical engineering, system engineering, project management and computer science domain. Such diversified research experience had made him successful in securing many big research grants. As a chief investigator, he has secured more than 2.5 million Australian dollars’ worth of research grant, while the apportioned amount to his credit is more than 1.1 million dollars. All his research grants have been from the Australian Defence Force (ADF). 

Humyun Fuad

Dr Mohammad Humyun Fuad Rahman received his PhD in Computer Science in 2015 from UNSW. After PhD, he had the opportunity to collaborate on a project with Airbus Defense and Space (one of the leading European Industry) where he had the opportunity to develop decision support systems for autonomous material delivery systems to transport materials in defence and commercial supply chains. The project is also associated with developing a simulated environment, which is also key for Industry 4.0 and Industry 5.0 era. Apart from that, he is collaborating with the top researchers globally, who works in solving human-robot collaboration in production environments, and those works are in line with Industry 5.0 concept. Dr Rahman also studies integrated decision-making processes in the supply chains. He is a regular reviewer for top-tier manufacturing and Operations Research journals, where he reviews the paper relevant to manufacturing system optimizations, projects, and supply chain management with Industry 4.0 technologies. Considering the importance of advanced technologies in mitigating the unprecedented events that occurred due to the ongoing COVID-19 pandemic, he has served as a guest editor for Robotics and Computer Integrated Manufacturing journal, which is one of the top tier journals for manufacturing (title: Smart and Responsive Manufacturing to Mitigate Market Uncertainty). This has reinforced his ability in editing special issues associated with the COVID-19 pandemic. As an active educator, Dr Rahman delivers courses that are designed within the framework of modern technologies and he aims to assist his students to develop critical thinking ability to solve engineering problems while considering modern technologies. 

Course Information

The course is divided into two modules (each for 1 day) as follows:

Module 1 (Day 1):

  • Fundamental knowledge on “a framework for business analysis and valuation”.
  • Explanation on different business analysis and valuation tools (e.g., Strategy Analysis, Financial analysis, Prospective analysis: Forecasting; Valuation theory and concepts; Valuation implementation).

 Module 2 (Day 2):

  • Business Analysis and Valuation Applications (Credit Analysis and distress prediction, mergers and acquisitions).
  • Case Studies correspond to Business Analysis and Valuation (Decision Analytics focused).


The participants will learn the fundamentals of the role of financial statements for business analysis and valuation.

The participants will gain a profound skill in different business analysis and valuation tools and their applications inspired from real-life.


  • Supply Chain Analytics in Industry 4.0 era (professional course)
  • Decision Making in Analytics (program code: ZZCA6510)
  • Master of Decision Analytics (program code: 8634)

Courses will be held subject to sufficient registrations. UNSW Canberra reserves the right to cancel a course up to five working days prior to commencement of the course. If a course is cancelled, you will have the opportunity to transfer your registration or be issued a full refund. If registrant cancels within 10 days of course commencement, a 50% registration fee will apply. UNSW Canberra is a registered ACT provider under ESOS Act 2000-CRICOS provider Code 00098G.