|Award title||Professional Certificate in Analytics Management|
|Year & campus||2022 — Parkville|
|Fees information||Subject EFTSL, level, discipline and census date|
|Study level & type||Graduate Coursework|
|Credit points||25 credit points|
|Duration||6 months part-time|
The goal of this course is to equip its graduates with the capabilities to use their analytics skills to address business issues. The course is designed to develop analytics management skills. The course will cover analytics subjects as well as frameworks for applying the techniques to a variety of business contexts.
1. To be considered for entry, applicants must have completed:
- An undergraduate degree; and
- Minimum two years of documented full-time relevant work experience; and
- A personal statement outlining why they wish to be considered for the program; and
- Referees’ reports.
Meeting these requirements does not guarantee selection.
2. In ranking applications, the Selection Committee will consider:
- Prior academic performance; and
- The work experience; and
- The personal statement; and
- The referees’ reports
3. The Selection Committee may seek further information to clarify any aspect of an application in accordance with the Academic Board rules on the use of selection instruments.
4. Applicants are required to satisfy the university’s English language requirements for graduate courses. For those applicants seeking to meet these requirements by one of the standard tests approved by the Academic Board, performance band (7.0) is required.
Students who do not meet the progression requirements or choose not to complete the Master of Analytics Management, may exit the Master of Analytics Management with one of the following awards:
- Professional Certificate in Business Administration: requires successful completion of two Category 1 subjects;
- Professional Certificate in Analytics Management: requires successful completion of two Category 2 or Category 3 subjects;
- Graduate Certificate in Business Administration: requires successful completion of four Category 1 subjects; or
- Graduate Diploma in Analytics Management: requires successful completion of four subjects (must include Data Analysis) in Category 1 and any three subjects in Category 2, and one subject in Category 3.
Information on the requirements that must be met for exit award are available in the handbook.
Inherent requirements (core participation requirements)
Melbourne Business School welcomes applications from eligible students for a variety of graduate degrees offered by its programme portfolio. These degrees require following attributes for academic study:
- The ability to explain and evaluate concepts, theories, and business operations of organisations
- Ability to use analytic techniques to solve business problems
Melbourne Business School welcomes applications from students with disabilities and takes reasonable steps to implement adjustments to provide equal participation opportunities for students with disability.
Intended learning outcomes
Students who complete this course will be able to:
Analyse data and build mathematical models to solve business problems:
- Undertake statistical modelling of data
- State a business problem clearly and choose an appropriate quantitative model for the situation
Translate between analytical models and the business outcomes of an organisation:
- Explain and critically analyse factors that influence decision making
Be an effective decision maker:
- Use evidence-based techniques to support decisions
- High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; use of computer software; accessing data and other information from a range of sources.
- Moderate level of development: written communication; critical thinking; receptiveness to alternative ideas.
- Some level of development: collaborative learning; team work
On successful completion of this degree graduates will be:
- Adept at analysis and evaluation of business problems to enable evidence-based business and decision making;
- Able to analyse data from both a business and analytics perspective;
- Effective problem solvers as project leaders, analysts and managers in business context;
- Proficient in professional knowledge and skills in business analytics;
- Competent at analysing and evaluating information to enable evidence-based business decision making;
- Strategic and critical thinkers in relation to business issues in organisations and markets;
- Problem solvers in business systems through the application of appropriate theories, principles and data;
- Effective communicators of business analytics concepts and solutions to peers and the wider community; and
- Able to conduct basic research and to retrieve business and information technology information from a variety of sources.
Any two subjects in the Category 2 and Category 3 subjects in the Master of Analytics Management.
Any two subjects from the following:
Category 2: Analytics Foundations subjects
|Code||Name||Study period||Credit Points|
|BISY90017||Quant. Decision Making & Optimisation||
|MGMT90244||Leading in Data Driven Organisations||
Category 3: Analytics Specialised subjects
|Code||Name||Study period||Credit Points|
|BUSA90521||Supply Chain Analytics||Not available in 2022||12.5|
|FNCE90079||Finance and Accounting Analytics||Not available in 2022||12.5|
Last updated: 29 January 2022