DATA309-26S2 (C) Semester Two 2026

Data Science Capstone Project

30 points

Details:
Start Date: Monday, 13 July 2026
End Date: Sunday, 8 November 2026
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 26 July 2026
  • Without academic penalty (including no fee refund): Sunday, 27 September 2026

Description

This course will develop your ability to undertake research in data science. Your project will be motivated by a real data science problem, and you will design and complete a research project towards a solution. You will work in a group, with group supervision and, where appropriate, will meet with your data science industry contact. The course consists of regular lectures/tutorials and project group meetings, supported by web-based resources. You will present your findings to other students and stake holders, and prepare a written report. The emphasis is on working together to solve real-life data science problems using skills that are transferable to the workplace.

Prerequisites

Subject to approval of the Head of Department.

DRAFT TIMETABLE:

Please note that the 2026 timetable has not been finalised.

Scheduled days and times will be confirmed, following review, on 15th October.

Timetable 2026

Students must attend one activity from each section.

Drop in Class A A
Activity Day Time Location Weeks
01 Thursday 10:00 - 11:00 Psychology - Sociology 411
13 Jul - 23 Aug
7 Sep - 18 Oct

Course links

Library portal

Indicative Fees

Domestic fee $2,117.00

International fee $10,775.00

* 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 Mathematics and Statistics .

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