An introduction to data analytics
The upcoming semester for this program will be delivered in a multi-modal format, with classes designed to support and engage all learners. Whether they’re on campus or abroad, all students will be able to access Bond’s exceptional and personalised learning experience through dynamic and interactive lectures, tutorials, seminars, workshops and lab sessions.
The Graduate Certificate in Data Analytics is a four subject program for students that have already previously completed basic quantitative subjects in programming and statistics. In this Graduate Certificate you will learn advanced statistics, econometrics and machine learning. Upon graduation, you will be able to work as a data analyst, business analytics specialist or play a key role in any organisations data and information management department.
About the program
Data analytics has become one of the highest growth areas of academic and commercial practice. With applications in nearly all aspects of quantitative endeavours and information management, a skillset in analytics, statistical and machine learning is highly valued and sought after. As such, there is a high demand for pathways for developing data analytics skills, both as a primary and a professional transition education pathway.
|Mode||On Campus and Remote|
Due to current travel restrictions, this program will temporarily be delivered using a mixture of on-campus, remote and multi-modal classes to support and engage all students, from all parts of the world.
|Duration||1 semester (4 months)|
|Program type||Postgraduate Certificate|
|Study area||Business and Commerce|
|Credit for prior study||For more details on applying for credit, please contact the Student Business Centre: [email protected]|
The Graduate Certificate in Data Analytics program comprises 4 subjects, as follows:
Students must take 20 Credit Points of subjects from the Analytics choice of subjects.
- DTSC71-300 Big Data Infrastructure
- DTSC71-301 Machine Learning in Business
- DTSC71-302 Statistical Learning and Regression Models
- ECON71-300 Advanced Econometrics
Students must take 20 Credit Points of subjects from the Financial choice of subjects.
- ACSC71-307 Survival Analysis
- DTSC71-305 Financial Trading Systems
- FINC71-302 Finance Applications and Analysis
- MKTG71-602 Market Research
Please visit BBS Program Structure and Sequencing for guidance on study plans.
The below fees are based on the total estimated program fee. Fees each semester may vary based on which subjects are selected and the number of subjects enrolled in for each semester.
Total program fee:
- Students commencing study in 2022: $20,820
- Students commencing study in 2023: $21,350
When considering the fees associated with your studies, keep in mind that Bond’s accelerated schedule means you can finish your degree sooner and be out in the workforce up to a year earlier than most other universities.
This time saving also represents a substantial reduction in accommodation and living costs, plus a full year of extra earnings.
Tuition fees are subject to change on an annual basis and will be charged at the appropriate fee for the year of enrolment.
* Note: for students commencing January 2021 the University has held the 2020 tuition fee amount in recognition of the current circumstances, with 2021 fees effective only from the University’s May 2021 semester.
Academic entry requirements
Completion of an Australian Qualifications Framework Level 7 Bachelor degree in a field cognate to the proposed degree.
Please contact the Office of Future Students for further information.
English language proficiency requirements
As tuition is delivered in English, all students will be required to provide documented evidence of the required level of proficiency in the English language. Read more detailed information on English language proficiency requirements for university study.
Credit for prior study
Subject credits may be awarded for previous studies. To apply for credits, you will need to submit academic transcripts including detailed subject outlines/course descriptions for each relevant subject and/or certified copies of testamurs to the Office of Future Students. Please refer to how to apply for credit for more information