Learn how to use data to address business challenges 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.
Duration
Full-time: 15 months
Next start date
2024 Quarter Four – 23 September
2025 Quarter Two – 31 March
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 | $29,842.20* | $71,120.01 (Q4 2024)* $73,010.40 (Q2 2025)* |
$1,065.60 |
*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 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:
- For students who need to increase their English IELTS score by 0.5: English Pathway for Postgraduate Studies (EPPS)
- For students who need to increase their English IELTS score by 1.0: Foundation Certificate in English for Academic Purposes (FCertEAP)
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 Applied Finance, Master of Business Analytics, Master of Management, and 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 Applied Finance, Master of Business Analytics, 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.
- Tenure: Up to one year
- Amount: Up to $24,000 each
- Open to nationality: All nationalities
- Closing dates: International Students - 16 January 2025 (April intake) and 25 May (September intake); Domestic Students - 2 February 2025 (April intake) and 3 July (September intake)
- Further details: Visit this link for more information including how to apply
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:
September 2024
- International students must apply by 1 July 2025
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.
*Please note, specialisations are driven by demand and might not be offered every quarter.
First quarter of study
Part 1 (Core)
- BUSINFO 700 (15 points) – Analysis of Business Problems
- BUSINFO 705 (15 points) – Decision Analytics
Second quarter of study
Part 1 (Core)
- BUSINFO 702 (15 points) – Information Management
- BUSINFO 704 (15 points) – Predictive Business Analytics
Third quarter of study
Part 1 (Core)
- BUSINFO 701 (15 points) – Business Analytics Tools
- BUSINFO 703 (15 points) – Data Visualisation for Business
Fourth quarter of study
Part 2 (Specialisation)
- BUSINFO 710 (15 points) – Advanced Project Management
- Specialisation Course 1 (15 points)
- Specialisation Course 2 (15 points)
Fifth quarter of study
Part 2 (Specialisation)
- BUSINFO 711 (15 points) – Consultancy Practice
- Specialisation Course 3 (30 points) – Applied 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
| 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.
Where could this programme take you?
“The highlights of the programme were the great networking opportunities – there were regular guest speakers who helped us understand the real business world – and the combination of learning tech skills and practising soft skills (such as presentation and research skills). This enabled me to find a great job.”
Concordia Xu
Master of Business Analytics graduate
Data Analyst, PwC
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.
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