MBAD670-25T1 (C) Term One 2025

Special Topic

10 points

Details:
Start Date: Monday, 10 February 2025
End Date: Sunday, 4 May 2025
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 23 February 2025
  • Without academic penalty (including no fee refund): Sunday, 13 April 2025

Description

Special Topic

Financial Technology and Behaviour

Course Description

This module provides you with an overview of two emerging, fast growing and complementary areas in finance, namely, financial technology (fintech) and financial behaviour (also known as behavioural finance). It provides an overview of the recent growth and key trends and opportunities in the fintech ecosystem in a range of business contexts and explores the behaviour of individual investors, professional investors and corporate managers. You will learn how to appraise and evaluate the impact of behavioural biases on financial decision making.

During the course, participants are expected to engage and contribute to the discussion. Additionally, this intense block-course doubles as a test field for participants’ skills in group dynamic and leadership. This course utilises mini case studies, videos, instant polls as well as a range of financial psychometric tests.

This module will use multiple activities to help you explore and apply new ideas and contexts. This will include lectures to introduce concepts and perspectives as well as more focused tutorial activities to develop understanding and apply theory. This may involve independent reading, simulations/scenarios, presentations, in-class discussions and problem-solving activities.

Learning Outcomes

  • By the end of this course, the student shall be able to:

    1. Critically evaluate the recent growth in financial technology.
    2. Postulate the future of money and financial markets.
    3. Investigate the impact of fintech in financial services through a range of applications.
    4. Appraise the behavioural implications of financial technology
    5. Appraise cognitive biases and heuristics that affect financial decisions.
    6. Deliver know-how and insights in your organisation in relation to financial technology and behaviour

    In addition, skills that will be practised and developed in the course include:
    a) Critically analyse, synthesise and evaluate contrasting perspectives and their supporting evidence.
    b) Apply relevant financial knowledge for effective day-to-day decision making.
    c) Collect, analyse and synthesise information.
    d) Apply theory to practice.
    e) Argue critically.
    f) Interdisciplinary thinking.
    g) Work independently/collaboratively.
    h) Responsible and ethical behaviour.

    Whāinga Ako | Learning Objectives, MBA
  • Graduates can demonstrate the skills of agile leadership, including the ability to future-orient organisations.
  • Graduates will be able to lead digital transformations in organisations including identifying, and critiquing change as well as applying appropriate skills.
  • Graduates will be able to innovate to enhance customer value by drawing on and applying design thinking approaches.
  • Graduates will be able to engage meaningfully in society as leaders in organisations, groups and communities.
  • Graduates will be able to understand and operate within complex global environments.

Prerequisites

Subject to approval of the MBA Director

Lecturer

Arman Eshraghi - Prof of Finance and Investments

Arman Eshraghi - Prof of Finance and Investments
Email: arman.eshraghi@canterbury.ac.nz
https://www.cardiff.ac.uk/people/view/1244350-eshraghi-arman

Indicative Fees

Domestic fee $753.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

Minimum enrolments

This course will not be offered if fewer than 10 people apply to enrol.

For further information see Master of Business Administration Programme .

All MBAD670 Occurrences

  • MBAD670-25T1 (C) Term One 2025
  • MBAD670-25X3 (C) Special non-calendar-based Three 2025