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Master of Business Data Analytics (Professional)

Program overview

The number of people employed across the data science sector within Australia is projected to grow 2.4 per cent annually. The demand for data science skills is on the rise with organisations increasingly aware of the value gained from analysing complex data, particularly in applications of data mining, machine learning and other statistical learning techniques across many industries. In Bond’s Master of Business Data Analytics (Professional), you will learn data analytics techniques to improve business decision- making, which can be applied in a vast range of industry sectors.

Designed for international students, the Professional program follows the same structure as the Master of Business 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 Business 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.

Program code: BN-13133

CRICOS code: 098314E

Program overview

The number of people employed across the data science sector within Australia is projected to grow 2.4 per cent annually. The demand for data science skills is on the rise with organisations increasingly aware of the value gained from analysing complex data, particularly in applications of data mining, machine learning and other statistical learning techniques across many industries. In Bond’s Master of Business Data Analytics (Professional), you will learn data analytics techniques to improve business decision- making, which can be applied in a vast range of industry sectors.

Designed for international students, the Professional program follows the same structure as the Master of Business 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 Business 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.

Program code: BN-13133

CRICOS code: 098314E

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Master of Business 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 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.  

Program specific scholarships

Bond Business School Postgraduate Bursaries

The Bond Business School Postgraduate Bursary has been developed to financially assist new postgraduate students enrolling in certain programs within the Bond Business School. The bursary will be assessed on a variety of factors including your contribution to the community.

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What you'll be studying

  • Study overview

    As a student in Bond’s Master of Business 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 a focus on writing computer code to solve problems in business. You will also be given the tools required to model, store, clean, manipulate, and extract information out of stored data, and gain skills in econometrics.

  • Semester 2

    In semester two, you will acquire the knowledge and skills to analyse complex data in a variety of business contexts. You will also cover theory and practice of modern statistical learning, regression, and classification modelling, using the statistical software package. During this semester, you will continue to broaden your skill set, knowledge, and understanding, through your choice of an analytics subject.

  • Semester 3

    When you are halfway through your degree, you will continue to build on your existing knowledge of data science techniques, by investigating the range of deployment options, to automatically extract insights from the vast amount of data available. You will also undertake two subjects from the analytics subject options.

  • Semester 4

    You will round off your knowledge in analytics and business, with a final subject across each of these areas, along with your chosen elective subjects. This will prepare you to emerge from your degree with a broad knowledge base, that will help you achieve your unique career goals.

  • 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. This component can include an internship and is undertaken following the completion of all coursework subjects.

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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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