Graduate Certificate in Applied Business Analytics (GC-APBUSA)

Graduate CertificateYear: 2025 Delivered: Mixed Attendance Mode (Parkville)

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Overview

Award titleGraduate Certificate in Applied Business Analytics
Year & campus2025 — Parkville
Fees informationSubject EFTSL, level, discipline and census date
Study level & typeGraduate Coursework
AQF level 8
Credit points50 credit points
Duration9 months full-time or 12 months part-time

The Graduate Certificate in Applied Business Analytics course is comprised of four core subjects covering a range of topics in programming, data platforms, foundational statistics, mathematics and algorithmic thinking, which provide introductory studies in applied business analytics.

Students who complete the Graduate Certificate in Applied Business Analytics may be eligible to apply to join the Graduate Diploma in Applied Business Analytics or Master of Applied Business Analytics.

Links to further information

This course is available in My Course Planner

My Course Planner is an interactive web application that allows you to explore your study options and decide which subjects and major(s), minors and/or specialisations are right for you.

Entry requirements

1. In order to be considered for entry, applicants must have:

  • completed an undergraduate degree of 3 or 4 years. and
  • Two years of documented full-time professional work experience (or part time equivalent) 

Meeting these requirements does not guarantee selection.

Students who achieve a WAM of 65% or higher in this degree may progress to the Graduate Diploma in Applied Business Analytics or the Master of Applied Business Analytics.

2. In ranking applications, the Selection Committee will consider:

  • Prior academic performance; and
  • the work experience

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. International students must demonstrate proficiency in English either through IELTS score (minimum score requirement of 7.0 overall with no individual score less than 7) or TOEFL IBT score (minimum of 94, and a written score minimum of 27 and no band less than 24), or Pearson Test of English score (minimum of 72 and no communicative skill below 65, or Cambridge English Advanced (minimum of 185 and no communicative skill below 185).

Note:

GMAT scores may be required if a University of Melbourne credit average equivalence is difficult to obtain.

Inherent requirements (core participation requirements)

Inherent requirements are the abilities, knowledge and skills needed to complete this course that must be met by all students. For information on the inherent requirements specific to this course contact the course/program coordinator. In some circumstances reasonable adjustments may be available to enable students to meet these requirements while still preserving the academic integrity of the university's learning, assessment and accreditation processes. For more information on how to seek these adjustments refer to the Student Equity and Disability Support website: https://services.unimelb.edu.au/student-equity/home

Intended learning outcomes

On completion of this course, graduates should be able to:

  • Demonstrate knowledge in a range of data analytics technique to inform decision making.
  • Design and apply data structures and data processing techniques relevant to business environments.

Generic skills

  • Analytical skills
  • Teamwork skills
  • Communication skills

Graduate attributes

  • Discipline knowledge and skills
  • Business analytical skills
  • Teamwork and communication skills
  • Creative and critical thinking
  • Problem solving skills

Course structure

The Graduate Certificate in Applied Business Analytics requires the successful completion of 50 credit points.

  • 50 credit points of Compulsory subjects

Subject Options

Compulsory

Code Name Study period Credit Points
BUSA90562 Statistical Learning Foundations Not available in 2025 12.5
BUSA90561 Math Foundations & Algorithmic Thinking Not available in 2025 12.5
BUSA90564 Data Platforms for Analytics Not available in 2025 12.5
BUSA90563 Programming for Analytics Not available in 2025 12.5

Last updated: 19 March 2025