Master of Data Analytics (Professional)

Program overview

Designed for international students, the Professional program follows the same structure as the Master of Data Analytics, with an additional 20-week professional portfolio component to ensure you are equipped with industry experience before you graduate. If you are a domestic student, please see Master of Data Analytics.

As a Bond Business School student, you will have exclusive access to facilities, including the Bond FinTech Hub. This facility enables provides the opportunity to gain a Bloomberg certification and extend your data analytics knowledge with access to the Centre for Data Analytics and experts in this field.

Technological change is constantly transforming business models, making professionals who can gather data, analyse numbers, and use data-driven insights to enhance decision-making highly sought after. Bond’s Bachelor of Data Analytics equips students with the analytical skills and modern techniques, including R and Python programming, to drive business decisions across a wide range of industries.

The program's flexible structure allows students to specialize in key areas such as Accounting Analytics, Economic Modelling, Health System Analytics, Marketing Analytics, Psychometrics, Quantitative Finance, or Sport Analytics. As a Bond Business School student, you will have exclusive access to state-of-the-art computing facilities at the Centre for Data Analytics, where you'll work alongside experts in the field. Additionally, the program culminates in a capstone group project, allowing students to apply their skills to real-world industry data from sectors such as healthcare, insurance, finance, and more, ensuring they graduate ready to make an impact in their chosen fields.
  

Program code: BN-13150

CRICOS code: 116381G

Program overview

Designed for international students, the Professional program follows the same structure as the Master of Data Analytics, with an additional 20-week professional portfolio component to ensure you are equipped with industry experience before you graduate. If you are a domestic student, please see Master of Data Analytics.

As a Bond Business School student, you will have exclusive access to facilities, including the Bond FinTech Hub. This facility enables provides the opportunity to gain a Bloomberg certification and extend your data analytics knowledge with access to the Centre for Data Analytics and experts in this field.

Technological change is constantly transforming business models, making professionals who can gather data, analyse numbers, and use data-driven insights to enhance decision-making highly sought after. Bond’s Bachelor of Data Analytics equips students with the analytical skills and modern techniques, including R and Python programming, to drive business decisions across a wide range of industries.

The program's flexible structure allows students to specialize in key areas such as Accounting Analytics, Economic Modelling, Health System Analytics, Marketing Analytics, Psychometrics, Quantitative Finance, or Sport Analytics. As a Bond Business School student, you will have exclusive access to state-of-the-art computing facilities at the Centre for Data Analytics, where you'll work alongside experts in the field. Additionally, the program culminates in a capstone group project, allowing students to apply their skills to real-world industry data from sectors such as healthcare, insurance, finance, and more, ensuring they graduate ready to make an impact in their chosen fields.
  

Program code: BN-13150

CRICOS code: 116381G

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 (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.  

What you'll be studying

  • Study overview

    As a student in Bond’s Master of Data Analytics, you will complete six required core subjects, four advanced analytic subjects, one business subject, and one general elective subject over the course of four semesters. In your final semester, you will complete a 20-week Professional subject. This outlined study overview is based on a January starting semester.

  • Semester 1

    In your first semester, you will learn the basics of programming with Data Science, Quantitative Methods an a subject from the Analytics, minor or elective option. 

  • Semester 2

    In semester two, you will acquire the knowledge and skills to analyse complex data in Linear Models and Applied Econometrics, and two subjects from the Analytics, minor or elective options. 

  • Semester 3

    When you are halfway through your degree, you will continue to build on your existing knowledge of data science techniques, and study Statistical Learning and Regression Models, Infrastructure for Data Analytics and Advanced Machine Learning. 

  • Semester 4

    You will round off your knowledge in analytics with an Applied Data Analytics Project, Deep Learning Through Neural Networks and a final subject from the Analytics, minor or elective option. 

  • Semester 5

    In this final semester, you will dive into your professional portfolio subject. This 20-week Work Integrated Learning component is designed to support learning, personal development, and professional practice. You will submit a final professional portfolio that highlights your practical and theoretical expertise in your profession of choice. 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. 

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Program features

  • Career ready

    Students studying a program underpinned by the fundamental pillars across financial risk, and big data analytics, will have access to practical resources like the Centre for Data Analytics, and unrivalled Bloomberg terminals. This ensures preparation for the future of business, and the jobs of tomorrow.

  • Build your network

    As a Bond student you will gain access to an array of networking opportunities hosted by the Bond Business School, Career Development Centre, and student associations, featuring high profile Australian and International business leaders, not to mention Bond’s extensive and close-knit alumni network.

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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
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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
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Program accreditation

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