Master of Business Analytics specialisation in FinTech

A specialisation is a focused collection of courses within a programme that allows you to gain deep, targeted knowledge in a specific sub-field. Normally these courses make up more than 50 percent of a qualification, some of which lead to registration within a certain field. They may be interdisciplinary, professionally oriented, or designed to meet accreditation requirements. Specialisations often restrict elective choice in favour of a clearly defined study plan.

Completed specialisations will appear on your academic transcript.

Please see the main programme link below for further details.

Studying the FinTech Specialisation within the Master of Business Analytics helps you develop a range of skills that are required by business analysts working in the financial services sector in general, and FinTech start-ups in particular. These include communication and personal relations, practical business knowledge, knowledge of data and analytics, and knowledge of programming skills.

A strong relationship with the business analytics and data science community ensures the practical relevance of the Master of Business Analytics. Through the applied projects at the end of the program and guest lectures and real-life projects during other courses you will gain practical, real-world advice and experience in the domain of FinTech.

The University of Auckland Business School draws on international expertise for its teaching and maintains strong industry links to prepare you for an exciting and challenging career in business analytics and FinTech in New Zealand or abroad.

MBusAn - Master of Business Analytics

Complete 180 points comprising:

At least 90 points from Part I, and
90 points for Part II

Part I

Complete at least 90 points from the following:

BUSINFO 700 - Analysis of Business Problems (15 points)

BUSINFO 701 - Business Analytics Tools (15 points)

BUSINFO 702 - Information Management (15 points)

BUSINFO 703 - Data Visualisation for Business (15 points)

BUSINFO 704 - Machine Learning for Business (15 points)

BUSINFO 705 - Decision Analytics (15 points)

BUSINFO 720 - Artificial Intelligence for Business (15 points)

Part II

Complete 90 points comprising:

At least 60 points from Compulsory Courses, and
30 points from Project

Compulsory Courses

Complete at least 60 points from the following:

BUSINFO 710 - Advanced Project Management (15 points)

BUSINFO 711 - Consultancy Practice (15 points)

BUSINFO 716 - Business Analytics for FinTech (15 points)

BUSINFO 717 - FinTech and Financial Intermediation - Level 9 (15 points)

BUSINFO 721 - Ethics and Data Governance (15 points)

Project

Complete exactly 30 points from the following:

BUSINFO 718 - FinTech Analytics Industry Project - Level 9 (30 points)

BUSINFO 719 - FinTech Analytics Project - Level 9 (30 points)

Please note that while regulations and programme rules for future academic years may be displayed or made available in advance, they remain subject to change. Official, final approved programme regulations for the upcoming academic year will be available when the University Calendar is published in late October of the preceding year. Any information available prior to Calendar publication should be treated as provisional.

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