ECON314-25S2 (C) Semester Two 2025

Economic Analysis of "Big Data"

15 points

Details:
Start Date: Monday, 14 July 2025
End Date: Sunday, 9 November 2025
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 27 July 2025
  • Without academic penalty (including no fee refund): Sunday, 28 September 2025

Description

With the decrease of the cost of storing data, both the size and the variety of available data has increased dramatically. In this course, we will discuss how such 'big data', and the 'artificial intelligence' that may result from it, is affecting both the economy itself and how the economy can be analysed. We will analyse the impact of big data and artificial intelligence on the economy through various examples of how businesses and governments can benefit from big data and artificial intelligence, but also of how big data and artificial intelligence can be abused by them. We also discuss how big data and artificial intelligence has created new ways to analyse the economy, by providing new ways to collect data (for example, web scraping) and by creating new types of data (for example, Google Trend/Correlate data, Text data and Image data) that can be used to analyse the economy.

Prerequisites

(1) ECON105; and (2) ECON213 or ECON214

Timetable 2025

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 16:00 - 18:00 Jack Erskine 248 Computer Lab
14 Jul - 24 Aug
8 Sep - 19 Oct
Lecture B
Activity Day Time Location Weeks
01 Wednesday 16:00 - 18:00 Rehua 008 Computer Lab
14 Jul - 24 Aug
8 Sep - 19 Oct

Course Coordinator

Tom Coupe

Indicative Fees

Domestic fee $946.00

International fee $4,363.00

* 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 Department of Economics and Finance .

All ECON314 Occurrences

  • ECON314-25S2 (C) Semester Two 2025