Learn R and Python programming languages
The September 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 professional program follows the same structure as the Master of Business Data Analytics with an additional 20-week Professional Portfolio component. Professional Portfolio is a 45 credit point subject designed to promote and support learning, personal development and professional practice. The subject focuses on developing self-analysis and reflective learning skills, and applying theoretical solutions for practical workplace problems. Students who have successfully completed cognate undergraduate programs may be eligible for advanced standing of up to 40 credit points towards the Master of Business Data Analytics (Professional) program.
The Future Of Work: Occupation and Education Trends 2018 Report by Deloitte Access Economics shows:
- The number of data science workers in Australia will increase by 2.4% annually
- 76% of businesses are planning to increase investment in analytics capabilities over the next two years
- Australian data scientists who have completed postgraduate study will have an average annual income of $130,176 in 2021-22
- Further study in this area can build core technical competencies for individuals currently employed in other areas to pivot towards data-related roles, new career opportunities and accelerated progression to senior roles
- The growing demand for data science skills is due to organisations realising the benefits they can gain from analysing big data, particularly in applications of data mining, machine learning and other techniques across many industries
- The proliferation of new and existing technology platforms including augmented and virtual reality has contributed to this growth in big data
Meet Professor of Data Science Steven Stern
- No prior experience in analytics or programming is required
- Learn technical skills, including R and Python languages most commonly used in the development of data programming
- Focus on the practical application, based on actual business problems in a range of industry sectors such as health, marketing and finance
- Gain immediate access to the very latest technologies in the Centre for Actuarial and Financial Big Data Analytics
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. The Master of Business Data Analytics (Professional) provides a platform to directly interface with industry leaders and develop both technical and organisational expertise. Show more
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. The Master of Business Data Analytics (Professional) provides a platform to directly interface with industry leaders and develop both technical and organisational expertise. Class sizes are smaller, providing personalised support and unparalleled access to Bond University's Bond Fin Tech Hub and Bloomberg data-sourcing terminals. Focus within this program is on strategically sound recommendations and data-driven business decisions. Show less
|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.
|Program type||Masters Coursework|
|Study area||Business and Commerce|
|Credit for prior study||For more details on applying for credit, please contact the Student Business Centre: [email protected]|
Master of Business Data Analytics (Professional) program comprises 13 subjects, as follows:
Required subjects (6)
- DTSC71-100 Business Analytics Coding
- DTSC71-200 Data Science
- DTSC71-300 Big Data Infrastructure
- DTSC71-301 Machine Learning in Business
- DTSC71-302 Statistical Learning and Regression Models
- ECON71-200 Econometrics
Analytic subjects (4)
Students must take 40 Credit Points of subjects from the Analytics choice of subjects.
- ACSC71-307 Survival Analysis
- DTSC71-104 Health Analytics and Data Management
- DTSC71-303 Big Data Analytics Case Studies
- DTSC71-304 Advanced Big Data Projects
- DTSC71-305 Financial Trading Systems
- DTSC71-306 Advanced Machine Learning in Business
- DTSC71-307 Advanced Statistical Learning Models
- ECON71-300 Advanced Econometrics
- FINC71-302 Finance Applications and Analysis
- MKTG71-602 Market Research
Business subjects (1)
Students must take 10 Credit Points of subjects from the Business choice of subjects.
- ACCT71-600 Accounting Principles
- ECON71-600 Economics for Business
- FINC71-600 Managerial Finance
- MKTG71-600 Marketing Fundamentals
Plus Professional subject (1)
Students must complete one (1) of the following subjects
*Please note that the Professional Portfolio or Professional Development subject is a 20-week, 45-credit point subject and is taken in the last semester of the program once all other coursework subjects have been completed. The Career Development Centre will provide assistance in choosing the relevant professional subject prior to your last semester.
- Students can choose up to 10 Credit Points of General Elective Subjects (10cp).
- General elective – A subject that may be chosen from any subject on offer across the University provided requisites, enrolment restrictions and any other faculty requirements have been met.
Students may also choose one of the following opportunities to use your elective subject to have international experiences or an Internship opportunity provided you meet the requirements. Please discuss with the Enrolment Advisor in the Student Business Centre.
- The Study Tour requires approval from the Faculty. (Please note that additional costs and visa requirements are associated with this subject).
- The Internship requires a GPA credit average and requires approval from the Faculty with an application to the Career Development Centre.
- The Individual Study Topic is only available in exceptional circumstances and requires the Program Director's approval.
Please visit BBS Program Structure and Sequencing for guidance on study plans.
The below fees are based on the total estimated program fee. Professional program fees include four standard full time semesters plus a final semester professional subject, which is charged at a different rate to a standard semester of coursework.
Total program fee:
- Students commencing study in 2021: $72,830
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
Entry into the Master of Business Data Analytics requires the completion of an undergraduate degree or equivalent in any business discipline. If previous bachelor degree is not related to business, we recommend you first complete the 4 subject Graduate Certificate of Business which can then be credited into the full Master of Business Data Analytics.
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