University of Technology Sydney

C06147v1 Graduate Diploma in Artificial Intelligence

Award(s): Graduate Diploma in Artificial Intelligence (GradDipAI)
CRICOS code: 108844C
Commonwealth supported place?: No
Load credit points: 48
Course EFTSL: 1
Location: City campus

Overview
Course aims
Career options
Course intended learning outcomes
Admission requirements
Recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Course program
Articulation with UTS courses
Other information

Overview

Artificial Intelligence (AI) is one of the most promising technologies, driven by big data and advancements in computing power and algorithms. It has huge potential to transform economies and uncover new societal and environmental values. This course enables students to broaden their knowledge and skills in Artificial Intelligence. Graduates of this course have a strong foundation in data analytics, visualisation, machine learning, and other aspects of AI. Students gain hands-on experience with a variety of AI projects, which will equip them to engage with challenges throughout a wide range of industries that utilise AI. The course is aimed at graduates from disciplines that are different from computing science, information technology or computer engineering, and who wish to upskill and enhance their knowledge in the area of AI.

The graduate diploma artificial intelligence course provides IT and computing professionals with the opportunity to upskill and meet the demands of this rapidly changing field. The course covers a broad range of current and emerging areas of AI including data analytics, data visualization, machine learning and neural networks.

This course provides ideal preparation for graduates seeking careers in data analytics, AI/ML engineer and its related domains. Students in the course engage in practical and hands-on learning by using technologies to develop algorithms in various AI fields.

Course aims

This course aims to prepare graduates with a practical grounding in a range of contemporary AI topics, as well as providing underpinning knowledge of data analytics and visualisation, machine learning and explainable AI. The course is designed for IT and computing professionals interested in moving into a junior data analyst or machine leaning/AI engineer career as much as for those already working in database, AI or related jobs to expand their expertise and advance their career.

Career options

Career options include Junior Analyst- Machine learning, Software Engineer -Machine Learning, Junior AI Specialist, Junior Data Analyst, Junior Machine Learning Engineer.

Course intended learning outcomes

A.1 Graduate Diploma of Artificial Intelligence graduates will use knowledge of Indigenous Australian contexts to apply professional capabilities across the design and implementation of AI solutions in industry when working with and for Indigenous peoples and communities.
B.1 Graduate Diploma in Artificial Intelligence graduates are able to identify a broad range of organisational stakeholders on Artificial Intelligence issues, and to identify ethical, personal, organisational, policy, social and environmental impacts of Artificial Intelligence in diverse contexts.
C.1 Graduate Diploma in Artificial Intelligence graduates are lifelong learners able to demonstrate autonomy and apply expert judgment in the design and evaluation of innovative Artificial Intelligence solutions to organisational, societal and global problems.
D.1 Graduate Diploma in Artificial Intelligence graduates are able to demonstrate and apply specialised knowledge in Artificial Intelligence and related fields of information technology, including technical skills in designing and implementing AI solution incorporating current and emerging technologies.
E.1 Graduate Diploma in Artificial Intelligence graduates are able to communicate professionally in a variety of ways to specialist and non-specialist audiences and collaborate across functional, hierarchical and professional boundaries, within and across organisations, in local and global contexts.
F.1 Graduate Diploma in Artificial Intelligence graduates are able to work and thrive in the world of constant technological change by being self-reflective, curious, action-oriented, thoughtful and life-long learning professionals, dedicated to seeking feedback, applying well developed judgement, pursuing self-development and making a positive difference in organisations and the wider society.

Admission requirements

Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.

It is a requirement that the bachelor's degree be in information technology or a related discipline, with no more than 25 per cent of subjects failed.

The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64 with a writing score of 50; or C1A/C2P: 176-184 with a writing score of 169.

Eligibility for admission does not guarantee offer of a place.

International students

Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.

Recognition of prior learning

Recognition of prior learning for this course is generally not applicable for students who have undertaken other postgraduate study, except as outlined below.

Students who articulate from the Graduate Certificate in Information Technology (C11142) are eligible for up to 24 credit points of recognition of prior learning, depending on which options were chosen in the Graduate Certificate. Students are advised to study a Data Analytics stream within this Graduate Certificates if their intention is to seek recognition of prior learning in this course.

The substitution of subjects with an alternative/advanced postgraduate subject in a similar field of study may be granted on a case-by-case basis. Subject substitution and recognition of prior learning are subject to faculty approval.

Recognition of prior learning (including subject exemption and subject substitution) for the following subjects may be considered:

49016 Technology and Innovation Management

32513 Advanced Data Analytics Algorithms

32146 Data Visualisation and Visual Analytics

32567 Business Intelligence for Decision Support

42904 Cloud Computing and Software as a Service

32130 Fundamentals of Data Analytics

Course duration and attendance

The course duration is one year of full-time or two years of part-time study.

Course structure

The course totals 48 credit points of study, comprising a 30-credit-point stream of core subjects, 12 credit points of artificial intelligence options, and a 6-credit-point professional option.

Course completion requirements

STM91715 Core stream (Artificial Intelligence) 30cp
CBK92148 Core options (Artificial Intelligence) 12cp
CBK92149 Professional Choice 6cp
Total 48cp

Course program

The programs below show a suggested sequence of subjects for a full-time student commencing the course in either Autumn session or Spring session. The program is intended as a guide only and does not take into account such factors as recognition of prior learning, changes in attendance mode and subject availability, or satisfactory academic progress. Students should consult the Timetable Planner to confirm the availability of subjects in the current academic year.

Autumn commencing, full time
Year 1
Autumn session
32130 Fundamentals of Data Analytics   6cp
32555 Fundamentals of Software Development   6cp
Select 6 credit points from the following:   6cp
42904 Cloud Computing and Software as a Service 6cp  
42913 Social and Information Network Analysis 6cp  
43024 Introduction to Computational Intelligence 6cp  
43025 Introduction to Quantum Computing 6cp  
43023 Emerging Topics in Artificial Intelligence 6cp  
49275 Neural Networks and Fuzzy Logic 6cp  
Select 6 credit points from the following:   6cp
42176 Ethics in Data and Artificial Intelligence 6cp  
49016 Technology and Innovation Management 6cp  
Spring session
42172 Introduction to Artificial Intelligence   6cp
32146 Data Visualisation and Visual Analytics   6cp
32513 Advanced Data Analytics Algorithms   6cp
Select 6 credit points from the following:   6cp
42049 Architecting on Amazon Web Services 6cp  
42050 SAS Predictive Business Analytics 6cp  
95563 Storytelling and Sense-making Studio 6cp  
32567 Business Intelligence for Decision Support 6cp  
Spring commencing, full time
Year 1
Spring session
42172 Introduction to Artificial Intelligence   6cp
32130 Fundamentals of Data Analytics   6cp
32146 Data Visualisation and Visual Analytics   6cp
Select 6 credit points from the following:   6cp
42049 Architecting on Amazon Web Services 6cp  
42050 SAS Predictive Business Analytics 6cp  
95563 Storytelling and Sense-making Studio 6cp  
32567 Business Intelligence for Decision Support 6cp  
Year 2
Autumn session
32555 Fundamentals of Software Development   6cp
32513 Advanced Data Analytics Algorithms   6cp
Select 6 credit points from the following:   6cp
42904 Cloud Computing and Software as a Service 6cp  
42913 Social and Information Network Analysis 6cp  
43024 Introduction to Computational Intelligence 6cp  
43025 Introduction to Quantum Computing 6cp  
43023 Emerging Topics in Artificial Intelligence 6cp  
49275 Neural Networks and Fuzzy Logic 6cp  
Select 6 credit points from the following:   6cp
42176 Ethics in Data and Artificial Intelligence 6cp  
49016 Technology and Innovation Management 6cp  

Articulation with UTS courses

This course is part of an articulated program comprising the Graduate Diploma of Artificial Intelligence (C06147) and the Master of Artificial Intelligence (C04443).

Other information

UTS Student Centre
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