• BannerBusinessAnalytics

Learn the skills you need to drive business transformation

Business analytics can predict things before they happen. You can anticipate how a product launch will be received. Know how much stock is needed before announcing a sale. Or how many people will respond to a marketing campaign. It's not science fiction, it’s data science. When data is carefully analysed and used to drive strategy, it improves business outcomes.


 

DURATION

2 Years (4 Trimesters) Full-Time or Equivalent Part-Time

INTAKES

March,
July,
November

LOCATION

Sydney, Melbourne

AQF LEVEL

Level 9

 
DURATION 2 Years (4 Trimesters) Full-Time or Equivalent Part-Time
INTAKES March, July, November
LOCATION Sydney, Melbourne
AQF LEVEL Level 9

GET THE SKILLS TO THRIVE IN RAPIDLY CHANGING INDUSTRIES

Take your undergraduate degree to the next level when you gain specialist skills in business analytics. Join an exciting emerging field that’s transforming industry. As more businesses build cross functional teams, they need staff with high level skills across IT, data, finance, marketing, and business.

Business intelligence and analytics impact every organisation, from technology start-ups to multinational companies. A Master of Business Analytics (MBAnalytics) at MIT will teach you the skills to analyse data and use that data for insights, and innovative solutions.

Data-driven decisions are at the heart of modern commerce strategies. Big data reveals the potential for growth. It can analyse competitor strategies and support forecasting and predictive analysis.

When data is used effectively, businesses can grow their profit and turnover. Start-ups can identify entrepreneurial opportunities and create a rigorous business plan. There’s so much potential to explore.

Students have an option to specialise in:

  • Marketing
  • Finance

THIS COURSE INCLUDES:

  • BE A PROBLEM SOLVER

    Become a skilled problem solver who can use data to drive innovation and solve business challenges.

  • CUTTING EDGE TECH

    Utilize leading business analytics software to drive creative decision making.

  • FLIPPED CLASSROOM

    Get in the driver's seat and take control of your learning - with flipped classrooms, you’ll arrive in class prepared and ready to build on your learning.

  • SUPPORTIVE TEACHING

    We use an academic support program called InSPIRE to tailor our learning to each student.

  • LEARN WITH INDUSTRY

    Our curriculum is based on solving real world problems. MIT has a strong reputation for Work-Integrated Learning.

  • WORK READY SKILLS

    Graduate with the strategic knowledge and technical skills to find a rewarding job in this growing field.

CAREER PATHS

Business Analytics professionals make sense of business data and translate it into strategies to drive business forward. They use the latest technology to improve the way we do business. A career in business analytics will give you great job prospects in areas including

  • Business Analysts 
  • Marketing Analysts
  • Financial Analysts
  • Business Process/Performance Analysts 
  • Business Optimization and Reporting Analysts
  • Customer Experience (CX) Insights Analysts
  • Product Insights and Campaign Analysts
  • Sales & Market Research Analysts
 

COURSE DETAILS

The Master of Business Analytics blends business and analytics skills to enrich your understanding of business. This knowledge will help you drive improvements in processes at work.

Study at the School of Business at Melbourne Institute of Technology. This course has been designed in consultation with industry. It aims to meet increasing industry demand for highly-skilled and knowledgeable business intelligence analysts.

In this course, you'll learn how to gather, extract meaning and prepare data so it can shape strategy. Learn how to present data to non-technical audiences so it is easily understood.

You will gain mastery of the tools and techniques of business analytics strategy. Discover how data analytics can be applied in business and beyond. Data analytics provide value for marketing, accounting, human resources, e-commerce and more. So, you can drive changes in the sphere of your choice.

PROFESSIONAL RECOGNITION AND ACCREDITATION

MIT will apply for professional accreditation to the Australian Computer Society. We anticipate a provisional accreditation will be awarded.

COURSE STRUCTURE

The Master of Business Analytics requires 10 core units and a choice of 2 elective units. A full-time study load is 60 credit points per trimester.

Successful completion of the course requires 240 credit points, made up of 12 units of 20 credit points. Each unit consists of 20 credit points.

All students will be expected to complete a capstone project working with real industry clients.

Read more about our Industry-Based Projects and Internships

MIT SITE Industry Project Selection Process

Trimester 1
Core
Core
Core
Trimester 2
Core
Core
Core
Trimester 3
Core
Core
Core
Trimester 4
Core
Elective 1
Elective 2

COURSE UNITS

Master of Business Analytics - Cognate Course Units

Common Core Units

* Mandatory hurdle (0 credit)

Electives

Students should select two electives from the same specialisation

These electives are only available for the cognate stream

The Course Coordinator may approve another elective from 500 or 600 level units, subject to meeting prerequisites.

Marketing Specialisation

  • MBA624 Leadership in Business Data Analytics (Prerequisite: MBA513 Principles of Business Analytics)
  • MBA627 Consumer Analytics (Pre-requisite: MBA612 Marketing Analytics)
  • MBA628 Business Analytics Applications (Pre-requisite: MDA611 Predictive Analytics and MBA522 Business Intelligence)
Finance Specialisation
  • MBA624 Leadership in Business Data Analytics (Prerequisite: MBA513 Principles of Business Analytics)
  • MBA626 Finance and Investment Analytics (Prerequisite: MBA613 Accounting Analytics)
  • MBA625 Insurance Analytics (Pre-requisite: MBA613 Accounting Analytics)
Some remarks:
  • The program is available in each intake; however, some units of study are subject to quotas and minimum enrolment requirements.
  • Not all units of study are available every trimester, and changes in program structure occur from time to time. 

LEARNING OUTCOMES

Graduates of this course will:
  • Possess a body of knowledge that includes state-of-the-art developments in the area of Business Analytics.
  • Be able to investigate and evaluate key business data analytical technologies and apply them effectively in several organizational settings.
  • Demonstrate significant research, analysis and evaluation skills in the data analytical discipline to explore business problems and solutions.
  • Exercise critical thinking, and problem-solving ability to tackle complex real-world problems to drive business decisions and actions.
  • Be capable of independent professional work with a high level of autonomy and accountability to innovate and improve the application of business analytics.
  • Be able to collaborate, and communicate with others in a professional setting

Students will possess, and be able to demonstrate, knowledge and skills in:

  • How marketing data analysis can be used to improve diagnosis, curing and caring of data;
  • How to acquire, transform, classify, mine and visualize marketing data;
  • How to identify data analytics-based entrepreneurial opportunities in marketing and quantify its economic value;
  • How to improve entrepreneurial opportunities and to create a rigorous business plan for a start- up.

Students will possess, and be able to demonstrate, knowledge and skills in:

  • How finance data analysis can be used to improve diagnosis, curing and caring of data;
  • How to acquire, transform, classify, mine and visualize finance data;
  • How to identify data analytics based entrepreneurial opportunities in finance industry and quantify its economic value;
  • How to improve entrepreneurial opportunities and to create a rigorous business plan for a start- up

ENTRY REQUIREMENTS

CREDIT TRANSFER

Students can gain credit for learning already achieved. Applicants are assessed on a case-by-case basis. Learn more about credit transfer. Read more about the process.

Applications for credit transfer must be made before or during orientation and enrollment week.

FEE INFORMATION

Study now and pay later with FEE-HELP.

Students studying at MIT may be eligible for FEE-HELP. FEE-HELP is a loan scheme that assists eligible fee-paying students to pay their tuition fees. An eligible person may borrow up to the FEE-HELP limit to pay tuition fees over their lifetime.

Read more about FEE-HELP or visit Study Assist.

Tuition Fees

For 2022-23 fee information visit the tuition fee page.

Financial Assistance

Youth and student allowances

For details on Youth Allowance, Austudy and ABSTUDY, visit Human Services.

FREQUENTLY ASKED QUESTIONS

What is a Business Intelligence Analyst?

Business Intelligence Analysts use data to provide strategic guidance and improve the business performance of an organisation. They are experts in drawing insights out of large amounts of data. That data can then be used to guide business decisions.

What's the difference between business analysts and business analytics professionals?

Business analysts

A business analyst focuses on analysing and optimising the processes and systems of a business. They analyse what a business needs to function optimally and what it needs to improve and work on solutions. For example, a business analyst may work with a client who has a particular product requirement in their business and the product development (PD) team. The client could be external or internal. The business analyst is responsible for ensuring solutions created by the PD meets the client's requirement.

The business analyst may provide technical project management and work with internal and external clients to design and implement systems.

Business analytics professionals

Business analytics professionals-data analysts, marketing analysts, product analysts, predictive analytics professionals focus on logical thinking, statistical analysis and predictive analytics to solve business problems.

Business analytics professionals may work with internal and external clients, but their focus is to improve the product, marketing or customer experience by using insights from data.

PREPARING YOUR APPLICATION

Before applying, make sure you:

  • Meet the course entry requirements for the course you want to apply for.
  • Have all your details ready—for example, your educational history, personal details, academic transcripts and award certificates.

What to include with your application?

  • Evidence of completion of your previous studies that is award certificates or transcript with completion confirmed.
  • Proof of identity, for example, your passport or birth certificate or citizenship.
  • Evidence of English language skills (if you completed studies from a non-English speaking country).
  • Proof of your permanent residency or citizenship if you were born overseas.

Certifying your academic documents

You should provide certified copies of your academic and other essential documents at the time of application.

Uploading your documents

You must upload all requested documents at the time of the application.

Learn more about the whole of the institution set here.

Contact us

Phone our friendly student recruitment team on 1800 648 669.
enquiries@mit.edu.au

COURSE DETAILS

The Master of Business Analytics blends business and analytics skills to enrich your understanding of business. This knowledge will help you drive improvements in processes at work.

Study at the School of Business at Melbourne Institute of Technology. This course has been designed in consultation with industry. It aims to meet increasing industry demand for highly-skilled and knowledgeable business intelligence analysts.

In this course, you'll learn how to gather, extract meaning and prepare data so it can shape strategy. Learn how to present data to non-technical audiences so it is easily understood.

You will gain mastery of the tools and techniques of business analytics strategy. Discover how data analytics can be applied in business and beyond. Data analytics provide value for marketing, accounting, human resources, e-commerce and more. So, you can drive changes in the sphere of your choice.

PROFESSIONAL RECOGNITION AND ACCREDITATION

MIT will apply for professional accreditation to the Australian Computer Society. We anticipate a provisional accreditation will be awarded.

COURSE STRUCTURE

The Master of Business Analytics requires 10 core units and a choice of 2 elective units. A full-time study load is 60 credit points per trimester.

Successful completion of the course requires 240 credit points, made up of 12 units of 20 credit points. Each unit consists of 20 credit points.

All students will be expected to complete a capstone project working with real industry clients.

Read more about our Industry-Based Projects and Internships

MIT SITE Industry Project Selection Process

Trimester 1
Core
Core
Core
Trimester 2
Core
Core
Core
Trimester 3
Core
Core
Core
Trimester 4
Core
Elective 1
Elective 2

COURSE UNITS

Master of Business Analytics - Cognate Course Units

Common Core Units

* Mandatory hurdle (0 credit)

Electives

Students should select two electives from the same specialisation

These electives are only available for the cognate stream

The Course Coordinator may approve another elective from 500 or 600 level units, subject to meeting prerequisites.

Marketing Specialisation

  • MBA624 Leadership in Business Data Analytics (Prerequisite: MBA513 Principles of Business Analytics)
  • MBA627 Consumer Analytics (Pre-requisite: MBA612 Marketing Analytics)
  • MBA628 Business Analytics Applications (Pre-requisite: MDA611 Predictive Analytics and MBA522 Business Intelligence)
Finance Specialisation
  • MBA624 Leadership in Business Data Analytics (Prerequisite: MBA513 Principles of Business Analytics)
  • MBA626 Finance and Investment Analytics (Prerequisite: MBA613 Accounting Analytics)
  • MBA625 Insurance Analytics (Pre-requisite: MBA613 Accounting Analytics)
Some remarks:
  • The program is available in each intake; however, some units of study are subject to quotas and minimum enrolment requirements.
  • Not all units of study are available every trimester, and changes in program structure occur from time to time.

LEARNING OUTCOMES

Graduates of this course will:
  • Possess a body of knowledge that includes state-of-the-art developments in the area of Business Analytics.
  • Be able to investigate and evaluate key business data analytical technologies and apply them effectively in several organizational settings.
  • Demonstrate significant research, analysis and evaluation skills in the data analytical discipline to explore business problems and solutions.
  • Exercise critical thinking, and problem-solving ability to tackle complex real-world problems to drive business decisions and actions.
  • Be capable of independent professional work with a high level of autonomy and accountability to innovate and improve the application of business analytics.
  • Be able to collaborate, and communicate with others in a professional setting

Students will possess, and be able to demonstrate, knowledge and skills in:

  • How marketing data analysis can be used to improve diagnosis, curing and caring of data;
  • How to acquire, transform, classify, mine and visualize marketing data;
  • How to identify data analytics-based entrepreneurial opportunities in marketing and quantify its economic value;
  • How to improve entrepreneurial opportunities and to create a rigorous business plan for a start- up.

Students will possess, and be able to demonstrate, knowledge and skills in:

  • How finance data analysis can be used to improve diagnosis, curing and caring of data;
  • How to acquire, transform, classify, mine and visualize finance data;
  • How to identify data analytics based entrepreneurial opportunities in finance industry and quantify its economic value;
  • How to improve entrepreneurial opportunities and to create a rigorous business plan for a start- up

ENTRY REQUIREMENTS

CREDIT TRANSFER

Students can gain credit for learning already achieved. Applicants are assessed on a case-by-case basis. Learn more about credit transfer. Read more about the process.

Applications for credit transfer must be made before or during orientation and enrollment week.

FEE INFORMATION

Study now and pay later with FEE-HELP.

Students studying at MIT may be eligible for FEE-HELP. FEE-HELP is a loan scheme that assists eligible fee-paying students to pay their tuition fees. An eligible person may borrow up to the FEE-HELP limit to pay tuition fees over their lifetime.

Read more about FEE-HELP or visit Study Assist.

Tuition Fees

For 2022-23 fee information visit the tuition fee page.

Financial Assistance

Youth and student allowances

For details on Youth Allowance, Austudy and ABSTUDY, visit Human Services.

FREQUENTLY ASKED QUESTIONS

What is a Business Intelligence Analyst?

Business Intelligence Analysts use data to provide strategic guidance and improve the business performance of an organisation. They are experts in drawing insights out of large amounts of data. That data can then be used to guide business decisions.

What's the difference between business analysts and business analytics professionals?

Business analysts

A business analyst focuses on analysing and optimising the processes and systems of a business. They analyse what a business needs to function optimally and what it needs to improve and work on solutions. For example, a business analyst may work with a client who has a particular product requirement in their business and the product development (PD) team. The client could be external or internal. The business analyst is responsible for ensuring solutions created by the PD meets the client's requirement.

The business analyst may provide technical project management and work with internal and external clients to design and implement systems.

Business analytics professionals

Business analytics professionals-data analysts, marketing analysts, product analysts, predictive analytics professionals focus on logical thinking, statistical analysis and predictive analytics to solve business problems.

Business analytics professionals may work with internal and external clients, but their focus is to improve the product, marketing or customer experience by using insights from data.

PREPARING YOUR APPLICATION

Before applying, make sure you:

  • Meet the course entry requirements for the course you want to apply for.
  • Have all your details ready—for example, your educational history, personal details, academic transcripts and award certificates.

What to include with your application?

  • Evidence of completion of your previous studies that is award certificates or transcript with completion confirmed.
  • Proof of identity, for example, your passport or birth certificate or citizenship.
  • Evidence of English language skills (if you completed studies from a non-English speaking country).
  • Proof of your permanent residency or citizenship if you were born overseas.

Certifying your academic documents

You should provide certified copies of your academic and other essential documents at the time of application.

Uploading your documents

You must upload all requested documents at the time of the application.

Learn more about the whole of the institution set here.

Contact us

Phone our friendly student recruitment team on 1800 648 669.
enquiries@mit.edu.au

OUR STAFF ARE LEADING INDUSTRY EXPERTS

Paul Kwan

Professor in Data Analytics, Course Coordinator Master of Business Analytics

Working in data analytics has given Paul Kwan an exciting career working all over the globe. Before MIT, Paul taught for 15 years at The University of New England (UNE) in NSW, where he was Professor and Head of Computer Science. He joined the Melbourne Institute of Technology in 2020 as Program Leader and Professor of Data Analytics.

Paul has a doctoral degree in Advanced Engineering Systems from The University of Tsukuba (Japan) majoring in Intelligent Interaction Technologies. His Bachelor and Master degrees were in Computer Science, awarded by Cornell University and the University of Arizona in the USA.

He has extensive professional experience working in his native Hong Kong in ICT industries.

His areas of expertise include Artificial Intelligence, Computer Vision, Data Mining, and Machine Learning.

Paul has been a member of the Australian Computer Society (ACS) since 2006, Senior Member of Association of Computing Machinery (ACM) since 2008, and Senior Member of IEEE, the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity, since 2010.

Stuart Orr (PhD)

Head of School of Business

Professor Stuart Orr has 35 years of experience in leadership roles in the higher education industry, having commenced his academic career in 1985. Stuart has previously been a Head of School at Monash and Deakin Universities, as well as holding senior leadership roles including Chairing the Deakin Academic Board, University Teaching and Learning Course Standard Committees.

He has held board roles in a number of peak academic bodies, including the Decision Sciences Institute and has been President of a number of associations, including an NGO with 450,000 members. Stuart has published seven textbooks, including three books on Strategic Management, over 50 refereed journal articles and over 100 conference papers.

He has also been awarded over 30 competitive research grants and is regularly interviewed for international magazines, such as Forbes, international radio business programs, such as "The Voice of America" and on Australian television programs such as "Current Affairs". He is a life member/fellow of several associations and institutions including the Australian Corporate Treasury Association.

OUR STAFF ARE LEADING INDUSTRY EXPERTS

Meet Professor
Paul Kwan
Professor in Data Analytics, Course Coordinator Master of Business Analytics

Paul Kwan

Professor in Data Analytics, Course Coordinator Master of Business Analytics

Working in data analytics has given Paul Kwan an exciting career working all over the globe. Before MIT, Paul taught for 15 years at The University of New England (UNE) in NSW, where he was Professor and Head of Computer Science. He joined the Melbourne Institute of Technology in 2020 as Program Leader and Professor of Data Analytics.

Paul has a doctoral degree in Advanced Engineering Systems from The University of Tsukuba (Japan) majoring in Intelligent Interaction Technologies. His Bachelor and Master degrees were in Computer Science, awarded by Cornell University and the University of Arizona in the USA.

He has extensive professional experience working in his native Hong Kong in ICT industries.

His areas of expertise include Artificial Intelligence, Computer Vision, Data Mining, and Machine Learning.

Paul has been a member of the Australian Computer Society (ACS) since 2006, Senior Member of Association of Computing Machinery (ACM) since 2008, and Senior Member of IEEE, the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity, since 2010.

Meet Professor
Stuart Orr (PhD)
Head of School - School of Business

Stuart Orr (PhD)

Head of School of Business

Professor Stuart Orr has 35 years of experience in leadership roles in the higher education industry, having commenced his academic career in 1985. Stuart has previously been a Head of School at Monash and Deakin Universities, as well as holding senior leadership roles including Chairing the Deakin Academic Board, University Teaching and Learning Course Standard Committees.

He has held board roles in a number of peak academic bodies, including the Decision Sciences Institute and has been President of a number of associations, including an NGO with 450,000 members. Stuart has published seven textbooks, including three books on Strategic Management, over 50 refereed journal articles and over 100 conference papers.

He has also been awarded over 30 competitive research grants and is regularly interviewed for international magazines, such as Forbes, international radio business programs, such as "The Voice of America" and on Australian television programs such as "Current Affairs". He is a life member/fellow of several associations and institutions including the Australian Corporate Treasury Association.

HEAR FROM THOSE WHO GRADUATED

The course coordinator consults with me and tailors my study plan.”

Thi Bich Trang Tran

Master of Business Analytics

The course coordinator consults with me and tailors my study plan.”

Thi Bich Trang Tran

Master of Business Analytics

MIT exceeded my expectations in every way.”

Lakash Shakya

Master of Business Analytics

MIT exceeded my expectations in every way.”

Lakash Shakya

Master of Business Analytics

JOIN A SUPPORTIVE NETWORK

When you study a Master of Business Analytics, you’ll make friends and industry connections that last a lifetime. Our welcoming student support team will help you start your career on the right foot and stay in touch as your career progresses. Our alumni network is active and encouraging.

WE CARE ABOUT YOUR FUTURE

At MIT you’re more than a number. Our teachers know students by name. And our teaching methods support and challenge you to reach your potential.

Our care goes beyond the classroom. We ensure students have the support and skills they need to succeed in life and study.

We understand that choosing a course can be daunting at times. Our friendly student support service is there to answer your questions.

LET’S GET STARTED. CALL US TODAY.

At MIT you’ll experience great teaching in a supportive environment. And you’ll graduate with the skills you need to succeed.

Call our friendly student services team today to discuss your learning journey on +61 3 8600 6700.