Programme information

Master of Business Analytics (MBusAn)

Launch your career as a business analytics professional with our practice-focused masters programme.

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Learn how to address business challenges and use data to inform organisational strategies and enhance business decision-making.

The MBusAn will equip you with the specialist knowledge and practical skills to source, manipulate and analyse data to address real-world business issues. It is suited to recent business and non-business graduates (excluding students who majored in Business Analytics or Data Science), and mid-career professionals who have not completed a Business Analytics qualification.

Along with core business analytics skills, you will also develop strong professional capabilities to help you communicate effectively to a non-technical audience, using data visualisation tools and storytelling.

Choose from a range of specialisations, including Marketing, Supply Chain Management and FinTech.*

*Note: Specialisations are driven by demand and might not be offered every quarter.

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Duration

Full-time: 15 months

Next start date

2024 Quarter Two – 8 April
2024 Quarter Four – 23 September

 Points

180 points over 15 months

Fees

The estimated total programme fees are listed below.​

Programme Points Domestic International Student Services Fee ($8.88 per point)
Master of Business Analytics (MBusAn) 180 $29,161.80* $68,826.60* $1,598.40

*Please note:

  • These fees are indicative estimates only based on 2024 fees.
  • Fees are inclusive of 15% GST, but do not include the Student Services Fee, course books, travel and health insurance, or living costs.
  • For programmes that are studied across more than one academic year, it is likely the fees will increase each year.
  • Course fees will be confirmed upon enrolment.
Entry requirements

All our Business Masters degrees are pre-experience coursework programmes. This means that applicants require little or no work experience to gain entrance into these programmes.

To gain entry you will need to have completed a bachelors degree from a recognised university with the equivalent of at least a New Zealand B average in the most advanced courses. This can be either a degree in business* or a non-business degree in a relevant discipline such as the arts, engineering, technology or science. In addition, you must have passed an undergraduate level course in business statistics (STATS 108) or equivalent.

In assessing your application we will take into account the ranking of the institution at which you completed your bachelors degree as well as the grades achieved in the relevant subjects. For a list of indicative equivalent entry scores by country, please see the Entry scores table below.

English requirements

Our Business Masters programmes are taught entirely in English. You must therefore be able to understand, speak and write English fluently. To be eligible for entrance, international students must achieve:

  • Academic IELTS 6.5, with no band less than 6.0, or;
  • TOEFL (paper-based) 575 (TWE 4.5), or;
  • TOEFL (internet-based) 90 (written 21), or;
  • Foundation Certificate in English for Academic Purposes (FCertEAP) B-, or;
  • English Pathway for Postgraduate Studies (EPPS) B-;
  • PTE Academic 58, with no PTE communicative skills score below 50.

If your English does not meet the required standard, our English Language Academy offers the following courses:

Entry scores

The table below lists indicative equivalent entry scores by country.

Country Entry score
Australia Credit average
Brazil 7.0/10
Canada 3.3/4.3
Chile 5.0/7
China (211/985) 75%
China (non-211/985) 80-85%
Colombia 3.5/5
Denmark 8.0/13
France 12.0/20.0
Germany 2.8/5
Hong Kong 3.0/4
India First Class
Indonesia 3.0/4
Iran 14/20
Israel 65/100
Italy 80/110
Country Entry score
Japan 70/100
Korea 3.0/4.5
Kuwait 3.0/4
Malaysia 3.0/4
Netherlands 7.0/10
New Zealand B average
Philippines 85/100
Saudi Arabia 3.5/5
Singapore 3.5/5
South Africa 65-70/100
Sri Lanka 60-65/100
Taiwan 75/100
Thailand 3.0/4
UK (Honours) 2.1
USA 3.0/4
Vietnam 7.0/10
 

Note: These scores are indicative only and subject to review.

*Applicants who have completed advanced course(s) in an undergraduate degree which are considered substantially similar to courses in this programme will be required to complete substitute course(s). Advice will be provided to students on a case-by-case basis.

Entry scores

Please see the table below for information about indicative equivalent entry scores by country.

Country Entry score
Australia Credit average
Brazil 7.0/10
Canada 3.3/4.3
Chile 5.0/7
China (211/985) 75%
China (non-211/985) 80-85%
Colombia 3.5/5
Denmark 8.0/13
France 12.0/20.0
Germany 2.8/5
Hong Kong 3.0/4
India First Class
Indonesia 3.0/4
Iran 14/20
Israel 65/100
Italy 80/110
Japan 70/100
Korea 3.0/4.5
Kuwait 3.0/4
Malaysia 3.0/4
Netherlands 7.0/10
New Zealand B average
Philippines 85/100
Saudi Arabia 3.5/5
Singapore 3.5/5
South Africa 65-70/100
Sri Lanka 60-65/100
Taiwan 75/100
Thailand 3.0/4
UK (Honours) 2.1
USA 3.0/4
Vietnam 7.0/10

Note: These scores are indicative only and subject to review.

*Applicants who have completed advanced course(s) in an undergraduate degree which are considered substantially similar to courses in this programme will be required to complete substitute course(s). Advice will be provided to students on a case-by-case basis.

Scholarships

Business Masters scholarships are open to admitted students for our Master of Management or Master of Professional Accounting programmes. Recipients are selected based on academic merit and a written statement covering career goals and motivation.

University of Auckland Business Masters Scholarships (International)

Supporting international students to gain the skills and knowledge required to launch a business career by completing a Master of Management or Master of Professional Accounting degree at the University of Auckland Business School. A key objective is to enhance the diversity of the class profile.

Key dates

The University of Auckland Graduate School of Management operates on a rolling admissions basis. This means that you can apply for entry into your chosen programme up to 12 months before the programme start date.

Late applications may be considered, subject to the availability of places.

Intake dates:

April 2024

  • International students must apply by 1 Feb 2024

September 2024

  • International students must apply by 1 July 2024

Programme structure

The MBusAn is an 15-month, 180-point programme studied over five quarters. You will study six core courses addressing data sources for the formulation of business strategies and the analytics required to inform decision-making. Topics include business analytics and information management tools, storytelling and data visualisation, predictive analytics and decision-making and optimisation.

In Part II you will focus on either Marketing, Supply Chain Management or FinTech and enhance and develop your skills in a disciplinary context. After a business consultancy practice course and a course in advanced project management, you will also complete an applied industry project.

 

Quarter 2

Core
  • Analysis of Business Problems 
  • Decision Analytics

Quarter 3

Core
  • Business Analytics Tools 
  • Information Management

Quarter 4

Core
  • Data Visualisation for Business 
  • Predictive Business Analytics 

Quarter 1

Core/Specialisation
  • Advanced Project Management 
  • Specialisation Course 1 
  • Specialisation Course 2

Quarter 2

Core/Specialisation
  • Consultancy Practice 
  • Specialisation Course 3 (Project)

Courses

You will gain a strong foundation in the principles of business analytics in the core courses of Part I of this programme. For Part II, you will choose from a range of specialised courses comprising 90 points from either Marketing, Supply Chain Management or FinTech.

 

Core options
Course code Course title Points Description

BUSINFO 700 

Analysis of Business Problems 

15 

Develops a managerial perspective on the use of small and big data in problem identification, analysis and decision-making. Explores big data strategies and develops an understanding of the business and industry context in which analytics professionals operate and how different parts of organisations interact. 

BUSINFO 701 

Business Analytics Tools 

15 

Develops skills in programming and business intelligence applications using the most commonly applied software and freeware. Provides insights into data wrangling and focuses on using tools for problem-solving, including their application in a variety of business settings. 

BUSINFO 702 

Information Management 

15 

Develops skills in the use of contemporary data management tools and the DataOps ecosystem to optimise the efficient storage of data. Emphasises data stewardship, including data governance and related ethical considerations. Explores behavioural, strategic and social issues related to data management software and tools to create agile data organisations. 

BUSINFO 703 

Data Visualisation for Business 

15 

Develops skills in unsupervised machine learning techniques, e.g., cluster analysis, factor analysis, and text mining, which enable unstructured and structured data to be leveraged to provide insights. Uses storytelling and visualisation techniques to translate data patterns in order to inform managerial decision-making. 

BUSINFO 704 

Predictive Business Analytics 

15 

Provides insights into the most commonly used supervised machine learning techniques, e.g., linear regression, logistic regression, random forest techniques, neural networks. Applies these techniques to model data for predicting relevant events. Addresses caveats of the techniques and how to evaluate model validity and outcomes. 

BUSINFO 705 

Decision Analytics 

15 

Explores how business analytics can be used to improve business processes and decisions. The link between quantitative models and qualitative processes is explicitly explored. Decision biases are considered in the context of decision modelling. Monte Carlo simulation and optimisation are among the decision tools taught. 

Specialisation: Marketing
Course code Course title Points Description
BUSINFO 706  Customer and Market Insights  15  Develops customer and market insight capabilities through the use of machine learning applications such as prospect selection, churn modelling, customer segmentation and attribution modelling. Focuses on the use of CRM data and explores the contributions that survey data can make. Explores campaign management and other aspects of implementing the results of analytical projects. 
BUSINFO 707  Digital Marketing and Analytics  15  Synthesises academic marketing research findings with previously taught knowledge about analytics, the digital channel, marketing planning and practice in order to attain marketing strategic goals. Enables students to critically and independently evaluate alternative analytical techniques, and apply these insights to formulating solutions to challenges involving, for example web scraping, network analyses, google analytics and techniques such as text mining and cluster analysis. 
BUSINFO 710  Advanced Project Management  15  Develops advanced project management skills and readiness for the final business analytics industry project, including definition and formulation of KPIs, risk assessment, progress monitoring, process evaluation, and reporting. Students will apply these skills in the formulation of an industry project proposal. 
BUSINFO 711  Consultancy Practice  15  Develops professional skills in communication, case practice, interviewing, networking, and business etiquette. Enhances team and management skills including conflict management and cultural awareness and builds resilience. 
BUSINFO 712  Marketing Analytics Industry Project  30  Marketing analytics consultancy project for a client company with written and oral presentation. 
Specialisation: Supply Chain Management
Course code Course title Points Description

BUSINFO 708 

Supply Chain Optimisation 

15 

Uses key analytic modelling techniques to analyse and optimise supply chains. Topics include facility location, network design, and general logistics. Key trade-offs are explored, including that difference between efficiency and effectiveness. Uncertainty is modelled and shown to be key in supply chain design. 

BUSINFO 709 

Supply Chain Analytics 

15 

Synthesises learning from business analytics methodologies (e.g., multivariate data analysis, data mining, and network visualisation) taught in prior classes. Requires application of the latest supply chain research findings from the academic literature in developing practical business solutions, involving issues such as supplier selection and multi-sourcing. Develops skills and knowledge to independently and critically address open-ended and ill-defined challenges in Supply Chain Management including complex tactical supply chain management problems, including supplier selection, multi-sourcing. 

BUSINFO 710 

Advanced Project Management 

15 

Develops advanced project management skills and readiness for the final business analytics industry project, including definition and formulation of KPIs, risk assessment, progress monitoring, process evaluation, and reporting. Students will apply these skills in the formulation of an industry project proposal. 

BUSINFO 711 

Consultancy Practice 

15 

Develops professional skills in communication, case practice, interviewing, networking, and business etiquette. Enhances team and management skills including conflict management and cultural awareness and builds resilience. 

BUSINFO 713 

Supply Chain Analytics Industry Project 

30 

Supply chain analytics consultancy project for a client company with written and oral presentation. 

Specialisation: FinTech
Course code Course title Points Description

BUSINFO 710 

Advanced Project Management 

15 

Develops advanced project management skills and readiness for the final business analytics industry project, including definition and formulation of KPIs, risk assessment, progress monitoring, process evaluation, and reporting. Students will apply these skills in the formulation of an industry project proposal. 

BUSINFO 711 

Consultancy Practice 

15 

Develops professional skills in communication, case practice, interviewing, networking, and business etiquette. Enhances team and management skills including conflict management and cultural awareness and builds resilience. 

BUSINFO 716 

Business Analytics for FinTech 

15 

Study of the intersection of finance and business analytics. Considers strategies for improving portfolio performance and valuation accuracy from the perspective of a trader or fund manager, and considers how outside investors and regulators can better detect fraud; uses business analytics tools to improve financial projections. 

BUSINFO 717 

FinTech and Financial Information 

15 

Examines emerging FinTech trends in financial intermediation such as digital transformation and responsible Innovation and evaluates strategies and tactics for financial intermediaries in the banking, real estate and insurance sectors. Critically examines current practices in FinTech from the multiple perspectives of a consultant, regulator, incumbent financial institutions and entrepreneur. 

BUSINFO 718 OR BUSINFO 719 

FinTech Analytics Industry Project OR FinTech Analytics Project 

30 

Team-based FinTech analytics consultancy project for a client company with written and oral presentations. 

OR 

Individual FinTech analytics consultancy project for a client company with written and oral presentation. 

In-demand skills for every industry

Successful business are built around data and demand for business analytics skills is growing rapidly across every industry. Hear from employers and academics about how the Master of Business Analytics can prepare you with the practical, real-world skill-set to succeed in a career in business analytics.

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Career prospects

The Master of Business Analytics is designed to give you the skills and knowledge to launch a career as a business analytics professional. Graduates go on to find employment in a range of roles, including as business insights executives, consultants, customer insights officers, database analysts, investment specialists and more.

Our student stories

Chelsea Abcede

What I love about the Business Masters programme ... is the chance to learn from our professors who are experts in their field; learn from their practical experiences.

I love how they challenge us not to just absorb what they teach, but also to transfer those skills and that knowledge by writing about it and discussing it from our own point of view and our own understanding. I love how they encourage us to think for ourselves.

Chelsea Abcede, Philippines
Master of Management

Karthik Meenakshisundaram

You get an opportunity to work with professors who not only have a strong academic profile, but also have a good deal of industry exposure.

I got to work with students who come from different cultural, educational and professional backgrounds, which I believe is a personal learning experience in itself.

Karthik Meenakshisundaram, India
Master of Management

Alexander Ivanov

The programme helped me to further develop myself as an individual. Besides gaining a lot of useful knowledge in management and international business, I have dramatically improved my writing, presentation, teamwork and leadership skills. I believe that the opportunities that you could have after finishing this degree are countless.

Alexander Ivanov, Russia
Master of Management

Steve Wang, China

This is a great programme to help me establish my career. Giving presentations to the class helped me improve my English and gave me a lot of confidence in public speaking. The programme gave me a qualification in accounting and opportunity to work with people from all over the world. I think this experience with diversity was the key to getting my current position.

Steve Wang, China
Master of Professional Accounting

Zaki Sobuctgeen, Malaysia

I chose the University of Auckland because of its reputation, prestige and consistent rank amongst the top universities in the region.

Zaki Sobuctgeen, Malaysia
Master of Management

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