FIEC675-25SU2 (C) Summer Nov 2025 start

Advanced Applications in Finance and Economics

45 points

Details:
Start Date: Monday, 10 November 2025
End Date: Sunday, 8 February 2026
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 23 November 2025
  • Without academic penalty (including no fee refund): Sunday, 11 January 2026

Description

FIEC 675 is specific to the Master of Applied Finance and Economics (MAFE). It follows the completion of coursework and is a module based course with applied projects in topics such as time series forecasting, cost-benefit analysis, portfolio management and financial decision-making.

Prerequisites

Subject to approval of the Head of Department

Timetable 2025

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 13:00 - 16:00 Rehua 530
10 Nov - 16 Nov
Lecture B
Activity Day Time Location Weeks
01 Monday 13:00 - 14:00 Rehua 530
17 Nov - 14 Dec
Lecture C
Activity Day Time Location Weeks
01 Wednesday 13:00 - 15:00 Rehua 530
17 Nov - 14 Dec
Lecture E
Activity Day Time Location Weeks
01 Tuesday 10:00 - 13:00 Rehua 530
10 Nov - 16 Nov
Lecture F
Activity Day Time Location Weeks
01 Friday 12:00 - 16:00 Ernest Rutherford 464 Computer Lab
5 Jan - 11 Jan
Presentation A
Activity Day Time Location Weeks
01 Monday 13:00 - 16:00 Rehua 530
15 Dec - 21 Dec
Presentation B
Activity Day Time Location Weeks
01 Wednesday 13:00 - 16:00 Rehua 530
15 Dec - 21 Dec
Lecture F
Activity Day Time Location Weeks
01 Friday 10:00 - 15:00 Rehua 530
12 Jan - 1 Feb
Tutorial E
Activity Day Time Location Weeks
01 Thursday 10:00 - 13:00 Jack Erskine 248 Computer Lab
10 Nov - 21 Dec
Tutorial F
Activity Day Time Location Weeks
01 Tuesday 10:00 - 13:00
10:00 - 11:30		 Rehua 530 (13/1-27/1)
Ernest Rutherford 212 Computer Lab (18/11-16/12)
 17 Nov - 21 Dec
12 Jan - 1 Feb

Lecturers

Jedrzej Bialkowski and Moritz Wagner

Guest Lecturer

Darwyyn Deyo

Textbooks / Resources

Software: As part of Module: Portfolio management students will be required to prepare SAS codes for portfolio management /portfolio performance as part of assignment. SAS software will be used for assignments in case of this module.

Indicative Fees

Domestic fee $3,173.00

* 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.

For further information see Department of Economics and Finance .

All FIEC675 Occurrences

  • FIEC675-25SU2 (C) Summer Nov 2025 start
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