Master of Data Analytics

Bond University

Bond University

CRICOS 116380H ยท Duration: 1.4 Years

Duration

52 weeks

Delivery

On-Campus

Study Load

On-campus

Intakes

September 2026 | January 2027 | September 2027 | January 2028

Course Overview

About This Course

The data science sector in Australia is experiencing significant growth, with employment projected to increase by 2.4% annually. As organisations across various industries become increasingly aware of the value of analysing complex data, the demand for data science skills, particularly in data mining, machine learning, and statistical learning techniques, continues to rise. Bond's Master of Data Analytics equips students with advanced knowledge and techniques that enhance business decision-making and can be applied across a vast range of industry sectors. As a Bond Business School student, you'll have access to exclusive facilities, including the Bond FinTech Hub, where you can gain Bloomberg certification, as well as the Centre for Data Analytics, offering unparalleled opportunities to work with experts in the field. Through the program's comprehensive curriculum, you will be prepared to meet the growing demand for data-driven expertise and make a substantial impact in your chosen industry. The program's flexible structure allows students to specialise in key areas such as Accounting Analytics, Economic Modelling, Health System Analytics, Marketing Analytics, Psychometrics, Quantitative Finance, or Sport Analytics. Program code: BN-13149 CRICOS code: 116380H

Where You Can Study

Available Locations

Brisbane

14 University Drive, ROBINA, QLD 4226

Open in Maps โ†—

Eligibility

Entry Requirements

General Requirements
  • Successful completion of a recognised Bachelor degree (or equivalent qualification) in any field.
  • English language proficiency: IELTS Academic overall score 6.5 with no sub-score less than 6.0
  • English language proficiency: PTE Academic overall score 58 with no Communicative Scores below 50
  • English language proficiency: TOEFL iBT overall score 79 (no scores below 21 in Writing, 18 in Speaking, and 16 in Reading and Listening)
  • Alternative entry may be considered via prior work experience, with documentation of employment history including a statement from employer
  • Credit for prior learning may be available for previous tertiary studies upon submission of academic transcripts and subject outlines

Career & Study Pathways

Where this takes you

Career Opportunities
The data science sector in Australia is experiencing significant growth, with employment projected to increase by 2.4% annually. As organisations across various industries become increasingly aware of the value of analysing complex data, the demand for data science skills, particularly in data mining, machine learning, and statistical learning techniques, continues to rise. Graduates will be prepared to meet the growing demand for data-driven expertise and make a substantial impact in their chosen industry.

Quality & Recognition

Accreditation & Migration

Academic Regulator

TEQSA

Accreditation Status

Accredited

Course Content

Units of Competency

All Units8 units

Data Science

Studied in Semester 1

Quantitative Methods

Studied in Semester 1

Statistical Learning and Regression Models

Studied in Semester 2

Linear Models and Applied Econometrics

Studied in Semester 3

Infrastructure for Data Analytics

Studied in Semester 3

Advanced Machine Learning

Studied in Semester 3

Applied Data Analytics Project

Studied in Semester 4

Deep Learning Through Neural Networks

Studied in Semester 4

Common Questions

Frequently Asked Questions

How long does the Master of Data Analytics take to complete?

The Master of Data Analytics takes 1 year and 4 months (4 semesters) to complete on a full-time study load.

What specialisations are available in the Master of Data Analytics?

The program's flexible structure allows students to specialise in key areas such as Accounting Analytics, Economic Modelling, Health System Analytics, Marketing Analytics, Psychometrics, Quantitative Finance, or Sport Analytics.

What facilities and resources will I have access to as a student in this program?

As a Bond Business School student, you'll have access to exclusive facilities including the Bond FinTech Hub with 40 Bloomberg Terminals โ€” the most of any Australian university โ€” as well as the Centre for Data Analytics, offering unparalleled opportunities to work with experts in the field. You also have the opportunity to earn an internationally recognised Bloomberg certification during your degree.

What subjects will I study in the Master of Data Analytics?

You will complete 8 required core subjects and 4 elective subjects over four semesters. Core subjects include Data Science, Quantitative Methods, Statistical Learning and Regression Models, Linear Models and Applied Econometrics, Infrastructure for Data Analytics, Advanced Machine Learning, Applied Data Analytics Project, and Deep Learning Through Neural Networks, alongside elective subjects from Analytics, minor or elective options.

Is the Master of Data Analytics accredited?

Yes, the program is accredited by the Association to Advance Collegiate Schools of Business (AACSB) and the European Foundation for Management Development (EFMD EQUIS), two of the most prestigious accreditations in business education.

Application

How to Apply

Three simple steps to get enrolled

Step 01

Enquire

Click "Enquire Now" and tell us a little about yourself. It's free and takes 2 minutes.

Step 02

Submit Documents

Our team will guide you on exactly which documents to prepare and submit.

Step 03

Get Enrolled

Receive your offer letter and confirm your enrolment. Welcome to the course!

Processing time: Offer letter issued within approximately 1 business days.

Hear From the Students

Honestly I was lost when I first started looking at Australian colleges. There are just too many options and every agent gives you different info. A friend told me about FindTheCourses and within a week I had shortlisted 3 programs that actually matched my budget and visa situation. My advisor Sanjay was super helpful โ€” never felt like I was being pushed into anything.

Priya Sharma

Priya Sharma

India

Master of Nursing ยท Griffith University

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