University of Technology Sydney

41004 AI/Analytics Capstone Project

6cp; 1–2hpw (on-campus meeting with mentor), 3 x 3hpw (on-campus presentation sessions)
Requisite(s): 31250 Introduction to Data Analytics AND 31272c Project Management and the Professional
The lower case 'c' after the subject code indicates that the subject is a corequisite. See definitions for details.
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.
Recommended studies:

knowledge of database technologies


Artificial Intelligence and Data Analytics program


Undergraduate

Description

This subject brings together the full skill set learned by students in data analytics. Students undertake a data analytics project as part of a team, manage the investigation, document their progress, communicate their findings and reflect on their learning.

Projects are set out to solve real-world problems in academic research or industry and may include:

  1. data generation/collection
  2. data processing/cleaning
  3. data modelling/analysis
  4. interpretation and communication of results.

Throughout the project, students are supported by an academic mentor and assessment through written reports and an oral presentation is in line with expectations from academic/industry.

Typical availability

Autumn session, City campus


Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.