COMP SCI 7319OL - Big Data Analysis & Industry Project
Career: | Postgraduate Coursework |
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Units: | 3 |
Term: | 4364 |
Campus: | Online |
Contact: | Up to 4 hours per week |
Restriction: | Master of Data Science (Applied) OL Only |
Available for Study Abroad and Exchange: | No |
Available for Non-Award Study: | No |
Pre-Requisite: | Carousel 2 Courses: COMP SCI 7211OL, DATA 7301OL, DATA 7302OL & MATHS 7027OL |
Assessment: | Assignments |
Syllabus: |
In this course, students will complete a medium-scale, industry-inspired, data science project. This project will involve evaluating, selecting and applying relevant data science techniques, principles and theory to a data science problem. Working with a real-world, industry-motivated dataset, students will develop their data science skills and knowledge and demonstrate autonomy, initiative and accountability. Students will need to reflect on the nature of their data and identify any social and ethical concerns and identify appropriate ethical frameworks for data management. As part of the course students will deliver a written and oral presentation of their project design, plan, methodologies, and outcomes. |
Course Fees
Study Abroad student tuition fees are available here
Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.
The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.
EFTSL | |||
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0.125 |
Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
Critical Dates
Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
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4364 | Fri 16/06/2023 | Fri 14/07/2023 | Mon 31/07/2023 | Mon 14/08/2023 |
Class Details
Enrolment Class: Class Meeting | |||||||
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Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
64016 | 01OL | 300 | 282 | This class does not have any timetabled face-to-face sessions. Please check MyUni or contact your Course Coordinator for details. |