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Master of Data Analytics

Program overview

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

Program overview

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

Actuarial Science and Data Analytics

About this 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 Data Analytics is delivered via smaller classes 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.

What you'll be studying

  • Study overview

    As a student in Bond’s Master of Data Analytics, you will complete 8 required core subjects, and 4 elective subjects over the course of four semesters (1 year and 4 months). This outlined overview is based on a full-time study load with a January start date.

Program features

  • Stand out

    Graduate with a competitive edge by developing and refining your entrepreneurial and innovation skill sets required to successfully launch, grow, and confidently manage a business from the ground up. Further cement these skills and put them into practice with the opportunity to launch an actual business while you study.

  • Global opportunities

    Bolster your global experience during your degree with internship placements. This is accessible through Bond Business School networks and industry partners, study tours, or a study abroad semester.

  • Build a network

    Gain access to high profile Australian and international business leaders and alumni, through a range of networking opportunities hosted through the Bond Business School, various student associations, Bond’s Career Development Centre, and other University networking events.

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Inherent requirements

Inherent requirements are the essential abilities, knowledge and skills required to successfully complete the program. Learn more about the inherent requirements and make an informed decision about your capacity to undertake the program.

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Hear from our Bondies

  • I chose to study a Master of Business Data Analytics at Bond as I was looking for a degree that incorporates data within a business context, and I wanted to further my existing skills in these areas. A key selling point was the high diversity and small class sizes of Bond, which I knew I would thrive in. The small class sizes allow for students to make one-on-one relationships with professors in which we learn tools for life, not just for the classroom. I especially enjoyed connecting with people from different backgrounds and nationalities which was fostered through the small class sizes.

    Kelsey Yorke - Master of Business Data Analytics student
PreviousNext

Hear from our Bondies

  • I chose to study a Master of Business Data Analytics at Bond as I was looking for a degree that incorporates data within a business context, and I wanted to further my existing skills in these areas. A key selling point was the high diversity and small class sizes of Bond, which I knew I would thrive in. The small class sizes allow for students to make one-on-one relationships with professors in which we learn tools for life, not just for the classroom. I especially enjoyed connecting with people from different backgrounds and nationalities which was fostered through the small class sizes.

    Kelsey Yorke - Master of Business Data Analytics student
PreviousNext

Similar programs

  • CRICOS Code: 0100103

    Graduate Certificate in Data Analytics

    • Actuarial Science and Data Analytics / Business, Commerce, and Entrepreneurship
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