25859 Fintech in Banking

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Subject handbook information prior to 2025 is available in the Archives.

UTS: Business: Finance
Credit points: 6 cp

Subject level:

Postgraduate

Result type: Grade and marks

Requisite(s): 25741 Capital Markets
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.

Description

This subject equips students with a multidisciplinary combination of technical skills, knowledge about fintech and banking, and strategies to meet professional standards in the fintech industry. Students develop a deep understanding of financial institutions in Australia and overseas, including core banking systems, payments systems and processes, deposit-taking and lending institutions, and insurance and wealth management companies. They also learn how to interact with consumers through user interfaces and how to measure consumer satisfaction. In addition, students master data analytics, including credit modelling and credit scoring. Finally, the subject acquaints students with the requirements of open banking, as well as how to prevent money laundering, fraud and cyber-attacks, and how to make banking decisions under ethical and regulatory considerations.

Subject learning objectives (SLOs)

Upon successful completion of this subject students should be able to:

1.	Analyse the factors that drive fintech innovation
2.	Assess the relationship between market participants in fintech and the traditional financial system
3.	Evaluate the impact of fintech innovations on corporations and consumers
4.	Analyse and solve complex problems in banking using novel approaches
5.	Critically reflect on the regulatory, ethical and sustainability aspects of fintech

Contribution to the development of graduate attributes

This subject provides students with knowledge of the core principles and concepts of fintech in banking, including payments, deposit-taking and lending, insurance and wealth management. Students are trained to critically and creatively create banking solutions for consumers. Students will discuss ethical and sustainable principles underpinning fintech in banking. This subject contributes to the development of the following graduate attribute(s):

Intellectual rigour and innovative problem solving
Communication and collaboration
Social responsibility and cultural awareness
Professional and technical competence

Teaching and learning strategies

Independent learning activities: Content topics consist of (1) a number of short video lectures, (2) intermittent informal assessments aimed at tracking progress, (3) self-study material.

Relevant readings, videos and activities will be made available online relevant to the week's topics. This will enhance the students’ ability to progress successfully throughout the subject and complete assessment items effectively.

Some of the assessment tasks require a basic level of proficiency in using Microsoft Excel for financial modelling. Students are encouraged to refresh their Excel skills before attempting these tasks. Microsoft’s Excel help & learning page is a good resource for this purpose.
Some of the assessment tasks require a basic level of proficiency in using Python for using APIs and machine learning models. Students are encouraged to review their Python skills using the LearnPython modules.

Collaborative workshops: The collaborative workshops will provide opportunities for group activities and discussion, self-assessment, peer review and formative feedback.

Feedback: Feedback will be frequent and takes several forms including quizzes during the independent learning activities and collaborative sessions to increase student performance in assessments. Further feedback is provided by formal assessments via mini-quizzes and assignments.

Content (topics)

Introduction to banking practice, and the Australian context
Fintech ecosystem and business models
Payments
Financing solutions
Wealth management
Open banking, open APIs and marketing
Artificial intelligence, machine learning, and deep learning
Anti-money laundering, fraud prediction, cybersecurity
Regulation
Competition and financial stability

Assessment

Assessment task 1: Case Study (Group)

Objective(s):	This addresses subject learning objective(s): 2, 4 and 5
Weight:	30%
Length:	Maximum 10 pages
Criteria:	Appropriateness of the used methodology to analyse and solve complex banking problems Accuracy of analysis Ability to draw meaningful conclusions Quality of fintech performance analysis and assessment of the relationship between fintech market participants Identification and perceptive analysis of the regulatory, ethical and sustainability aspects of the report

Assessment task 2: Fintech Model (Individual)

Objective(s):	This addresses subject learning objective(s): 3, 4 and 5
Weight:	60%
Length:	Maximum 5 pages
Criteria:	Appropriateness of application model Evaluate the possible impact of proposed fintech innovation on consumers Quality of data analysis in solving complex banking problems Precision of output to analyse complex banking problems Depth of reflection on regulatory, ethical, and sustainability issues related to proposed model

Assessment task 3: Quizzes (Individual)*

Objective(s):	This addresses subject learning objective(s): 1 and 2
Weight:	10%
Length:	15 minutes
Criteria:	Correctness of the answers Thoroughness of analysis in examining the factors that drive fintech innovation

Minimum requirements

Students must achieve at least 50% of the subject’s total marks.