Machine Learning for Business Professionals
Course Level Postgraduate
Course Level Postgraduate
Area/Catalogue
INFS 5131
Course Level
Postgraduate
Offered Externally
Yes
Note: This offering may or may not be scheduled in every study period. Please refer to the timetable for further details.
Course ID
170529
Unit Value
4.5
University-wide elective course
No
The 2025 timetable is
not yet available.
Course owner
UniSA Business
To develop skills in machine learning to address opportunities and challenges in business using predictive analytics and pattern detection with (Big) data.
An overview of artificial intelligence focusing on machine learning and the opportunities for innovation and efficiency in business and management. A business roadmap for the successful integration of machine learning in any organisation. Supervised, semi-supervised and unsupervised learning algorithms including sentiment analysis, market basket analysis, recommender systems and streaming analytics for the Internet of Things using BI software.
Nil
Common to all relevant programs | |
---|---|
Subject Area & Catalogue Number | Course Name |
INFS 5130 | Fundamentals of Data Analytics for Business |
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, CITY WEST | |||
Seminar | 3 hours x 10 weeks | ||
Preparatory | 1 week x 1 hour | ||
EXTERNAL, CITY WEST, ONLINE | |||
External | 30 hours x N/A |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Project, Test/Quiz
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.
* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.