Stages
The Master of Analytics Management degree is comprised of three stages:
Stage 1: Graduate Certificate:
Business fundamentals: These subjects give students business knowledge in data analysis, and 3 of the following areas: finance, accounting, marketing and economics. After completing 4 subjects, students will have earned a Graduate Certificate in Business Administration. Achieving an overall average grade of 70%, with at least 70% in data analysis, students then progress to the Diploma stage.
Stage 2: Graduate Diploma:
Analytics fundamentals: Students are required to compete each of the four subjects in this stage, after which they progress to the master’s stage.
Stage 3: Masters:
Specialisation in topics already studied (marketing analytics, supply chain analytics and financial analytics), and apply their learning in an applied capstone – the Analytics Lab.
Subjects
Graduate Certificate in Business Administration subjects:
Data Analysis (Compulsory)
This subject provides the fundamental quantitative skills necessary you need to extract information from data to make better managerial decisions. You will become familiar with the tools of quantitative analysis, develop the necessary skills for analytical thinking and gain a quantitative mindset to measure performance.
Marketing
The focus of this subject is the challenges that organisations face in managing demand and how to address them with optimal demand‐side strategies. You will learn how (and which) marketing investments help develop market‐based assets, how they translate into market outcomes, and how market outcomes help ensure an organisation’s long‐term survival and success.
Operations
In fiercely competitive global and dynamic environments, companies face increasing pressures to exceed customer expectations along multiple performance measures, such as cost, quality, flexibility and innovation. This subject deals with the design, management and continuous improvement of business processes, providing some of the core concepts that are essential for leveraging a firm’s operational capabilities to achieve sustainable competitive advantage.
Financial Management
This introduction to valuation and financial management is based on the principle that firms should be managed to increase the wealth of their shareholders, subject to fulfilling their contractual and legal obligations to other stakeholders. To this end, it focuses on valuing financial assets and selecting investment projects.
Financial Accounting
This subject provides you with foundation knowledge about for-profit entities’ external financial reporting – knowledge that is not only the basis for correctly interpreting and applying accounting information, provided for internal managerial decision-making, but also for financial statements, used to make externally‐focused judgments and decisions (e.g., assessing a firm’s intrinsic value or its strengths and weaknesses, relative to competitors).
Managerial Economics
This subject provides the economic-reasoning tools to develop and evaluate strategic business options and make better choices. You will discuss and develop the fundamental economic concepts and analytical skills required in managerial and strategic decision‐making, especially in situations of bargaining, price setting and analysing different market environments or asymmetric information.
Graduate Diploma of Analytics Management subjects:
Business Analytics (Compulsory)
This subject aims to teach you how to extract relevant information from data to make improved business decisions. You will learn which type of data to use for solving a business problem and how to influence an organisation to move from a ‘decision‐based, evidence-making’ mode to an ‘evidence‐based, decision-making’ mode.
Predictive Analytics (Compulsory)
This subject covers the main methods used to predict business variables, based on historical data. These include traditional regression, time series analysis, forecasting models, survival analysis, data mining, support vector machines and sentiment analysis. Throughout the subject, the focus will be on understanding how these methods are applied in various business problems, and identifying which predictive approach is the most appropriate to use, given a specific context.
Quantitative Decision Making & Optimisation (Compulsory)
There are numerous mathematical methods used to obtain efficient solutions to a large variety of complex business problems. This subject provides students with the ability to formulate a business problem as a mathematical model, and then to use quantitative techniques to identify a solution to the model
Managing in an Analytics Environment (Compulsory)
As organisations become more sophisticated in how they seek to use analytics to inform business decision making, managers face several challenges in how to facilitate the creation of the best environment in which to deploy analytics. This subject equips students with the necessary insights to formulate an organisation’s vision and goals around the use of business analytics, along with specific tools to implement and manage the change processes required to achieve this.
Master of Analytics Management subjects:
Marketing Analytics
It has become increasingly important to know how marketing actions translate into revenue and profit growth. The tools that enable this translation are part of a toolkit called “marketing analytics.” Marketing analytics is a technology-enabled and model-supported approach to harness customer and market data to enhance marketing decision-making.
Supply Chain Analytics
Rapid advancements in technology (particularly the internet), combined with fast and cheap computing power, have enabled firms to radically transform their industries by developing business models and reengineering their supply chains. This subject provides students with the ability to use appropriate tools and techniques to analyse strategic, tactical and operational decisions pertaining to inventory management, facility location, logistics and other supply chain management related decisions. In addition, students will be exposed to how real-world logistics and supply chain decisions have been made through relevant case studies.
Finance & Accounting Analytics
Finance and Accounting Analytics examines how financial statement data, financial market data and non-financial metrics are associated with firm value and performance. The subject will explore how to use statistical modelling to determine the primary drivers of firm value and performance and the evolution of market prices. Topics include: performance analytics, valuation analytics, credit analytics, risk analytics, portfolio analytics and market analytics. The subject will also examine the use of prediction models to detect financial reports and transactions that may have been manipulated by managers.
Applied Analytics Lab (Capstone subject)
This subject involves completion of a 10-week project using real data from an industry setting. The subject integrates academic learning, practical challenges in implementing data analytics in an organisation, employability skills and attributes and an improved knowledge of how analytics can be implemented within organisations. The assessment week of the subject will involve the completion of the report for the subject and a project presentation. This is an individual project.
Applications should be submitted online at apply.mbs.edu
Application closing dates
- January 2020 Intake: applications close on 30 November 2019
- March 2020 Intake: applications close on 28 February 2020
- June 2020 Intake: applications close on 30 May 2020
- September 2020 Intake: applications close on 30 August 2020
If you wish to apply after the closing date, please contact the admissions office (study@mbs.edu).
To apply, you will need to provide:
- A CV, showing a minimum of two years’ work experience
- Academic transcript (and any postgraduate academic transcripts if completed) *
- Evidence of citizenship or residency*
- An excellent command of English (copy of IELTS or TOEFL score, where required) **
- Personal statements relating to your goals and how you can contribute to the program
- The names and contact details of two professional referees
You are also welcome to supply additional information that you believe will strengthen your application. The School may also request additional information to assist the admission decision.
Applications will be processed as soon as all materials are received. We strive to respond to applications as quickly as possible, usually within four weeks of receipt. Successful applicants will receive a formal Letter of Offer. Unsuccessful applicants are notified in writing.
*Original or certified copies of these documents will need to be provided if you are successful in gaining admission to the program.
**Students from a non-English speaking country or where undergraduate study was not in English will require evidence of English proficiency:
IELTS – minimum score requirement of 7.0 overall, with no individual score less than 6.5; or
TOEFL IBT – minimum score of 102, with a written score minimum of 24.
Please note, international students are not eligible for this program.
The 2019 tuition fees for students are $4,300 per subject. Fees are paid per subject per term in advance, and students are notified of payment deadlines at the beginning of each calendar year.
Please note:
$120 per subject is a reasonable amount to budget for textbooks and other study-related expenses
FEE-HELP is available for those who meet the eligibility criteria
For company-sponsored candidates, Melbourne Business School is happy to provide a business case to share with your employer about the benefits of part-time study to facilitate the company sponsorship process.
The subject fee and total course fee are applicable to 2019. These fees are subject to annual review and may be adjusted to take into account cost increases. The School guarantees that the fee will not increase by more than 10 percent from year to year.