University of Technology Sydney

C10474v1 Bachelor of Artificial Intelligence

Award(s): Bachelor of Artificial Intelligence (BAI)
UAC code: 603236 (Autumn session, Spring session, Spring session)
CRICOS code: 110746J
Commonwealth supported place?: Yes
Load credit points: 144
Course EFTSL: 3
Location: City campus

Overview
Course aims
Career options
Innovation and Transdisciplinary program
Course intended learning outcomes
Admission requirements
Pathway course
Inherent requirements
Assumed knowledge
External articulation
Recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Course diagram
Course program
Levels of award
Honours
Transfer between UTS courses
Professional recognition
Other information

Overview

The Bachelor of Artificial Intelligence is designed to meet the need for specialised industry professionals to help organisations and society make sense of the abundance of data collected every second and build autonomous solutions for a variety of applications, such as self-driving cars, facial recognition, personalised learning or voice assistants. There is a strong industry demand for artificial intelligence professionals with sound technical capabilities and a good understanding of the challenges and opportunities in this rapidly evolving field.

This course provides students with the opportunity to gain the skills and knowledge required to meet the demands of this exciting field. Students in the course engage in practical, hands-on learning using technologies to formulate and scope an AI problem, and design, develop, verify and validate solutions for defined problems. The course covers a broad range of current and emerging areas of artificial intelligence, such as deep learning, reinforcement learning, image processing and natural language processing.

Course aims

The Bachelor of Artificial Intelligence is a three-year undergraduate-entry degree leading to eligibility to start a career as an artificial intelligence professional.

Students participate in a variety of innovative, inquiry-based, collaborative learning activities, which enable them to identify, analyse and manage challenges in various aspects of Artificial Intelligence. They learn how to formulate and scope an AI problem, and design, develop, verify and validate solutions for defined problems. Classes use state-of-the-art software and tools to integrate theoretical and practical concepts in AI. Students have access to case studies of real-world AI problems, that prepare them for a range of career opportunities in industry and business world. Learning is underpinned by a solid foundation in mathematics, statistics, information technology and software development, preparing them to work in a variety of IT roles that draw on both their broad IT knowledge and AI specialist skillset.

Exposure to various specialized areas in AI, such as deep learning, reinforcement learning, image processing and natural language processing, enable students to reflect on the need and importance of AI, build in-depth knowledge and ability to apply Artificial Intelligence to solve real-world problems. With educational opportunities to develop critical thinking and problem-solving skills, they are able to apply these professional skills in the workplace, and offer original solutions to challenges that current industries are facing in the era of big-data, cloud, and automation. Students also develop strong interpersonal skills and a capacity for teamwork.

As they study, students are able to design, build and evaluate AI solutions for applications such as autonomous cars, facial recognition, personalised learning, or voice assistants. Career options may include working as an artificial intelligence expert, artificial intelligence consultant, AI Specialist, machine learning engineer, data scientist, business analyst, software developer or data analyst.

Career options

Career options include AI Analyst, Machine Learning Engineer, AI Specialist, Computer Vision Engineer, Natural Language Processing Engineer.

Innovation and Transdisciplinary program

Transdisciplinarity and Innovation at UTS

All UTS students have the opportunity to develop distinctive capabilities around transdisciplinary thinking and innovation through the TD School. Transdisciplinary education at UTS brings together great minds from different disciplines to explore ideas that improve the way we live and work in the world. These offerings are unique to UTS and directly translate to many existing and emerging roles and careers.

Diploma in Innovation

The Diploma in Innovation (C20060) teaches innovation, supports personal transformation and provides the hard skills needed to support the inventors and inventions of the future. Students come out of the Diploma in Innovation, with the hard skills to create and support sectoral and societal transformation. Graduates are able to fluently integrate ideas, across professional disciplines and are inventors of the future.

All UTS undergraduate students (with the exception of students concurrently enrolled in the Bachelor of Creative Intelligence and Innovation) can apply for the Diploma in Innovation upon admission in their chosen undergraduate degree. It is a complete degree program that runs in parallel to any undergraduate degree. The course is offered on a three-year, part-time basis, with subjects running in 3-week long intensive blocks in July, December and February sessions. More information including a link to apply is available at https://dipinn.uts.edu.au.

Transdisciplinary electives program

Transdisciplinary electives broaden students' horizons and supercharge their problem-solving skills, helping them to learn outside, beyond and across their degrees. Students enrolled in an undergraduate course that includes electives can choose to take a transdisciplinary subject (with the exception of students concurrently enrolled in the Bachelor of Creative Intelligence and Innovation). More information about the TD Electives program is available here.

Course intended learning outcomes

A.1 Bachelor of Artificial Intelligence graduates, will have knowledge of Indigenous Australian contexts to apply professional capabilities to work with and for Indigenous Australians across artificial intelligence projects and industry.
B.1 Bachelor of Artificial Intelligence graduates are able to identify a broad range of organisational stakeholders on Artificial Intelligence issues, and demonstrate ethical, personal, organisational, policy, social and environmental awareness on the impacts of Artificial Intelligence in diverse contexts.
C.1 Bachelor of Artificial Intelligence graduates demonstrate autonomy and apply expert judgment in the design and evaluation of innovative Artificial Intelligence solutions to organisational, societal and global problems.
D.1 Bachelor of Artificial Intelligence graduates demonstrate and apply fundamental knowledge in Artificial Intelligence and related fields of information technology, including technical skills in designing and implementing AI solutions incorporating current and emerging technologies.
E.1 Bachelor of Artificial Intelligence graduates communicate professionally in a variety of ways to diverse audiences and collaborate across functional, hierarchical and professional boundaries, within and across organisations, in local and global contexts.
F.1 Bachelor of Artificial Intelligence graduates work and thrive in the world of constant technological change by being self-reflective, 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 an Australian Year 12 qualification, Australian Qualifications Framework Diploma, or equivalent Australian or overseas qualification at the required level.

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.

Pathway course

International applicants who complete the UTS College Diploma of Information Technology with no more than two subject failures are guaranteed admission to the Bachelor of Artificial Intelligence with up to 48 credit points of recognition of prior learning.

Inherent requirements

Inherent requirements are academic and non-academic requirements that are essential to the successful completion of a course. For more information about inherent requirements and where prospective and current students can get assistance and advice regarding these, see the UTS Inherent requirements page.

Prospective and current students should carefully read the Inherent Requirements Statement below and consider whether they might experience challenges in successfully completing this course.

UTS will make reasonable adjustments to teaching and learning, assessment, professional experiences, course related work experience and other course activities to facilitate maximum participation by students with disabilities, carer responsibilities, and religious or cultural obligations in their courses.

For course specific information see the Faculty of Engineering & Information Technology Inherent (Essential) Requirements Statement.

Assumed knowledge

HSC Mathematics Advanced and any two units of English. Mathematics Extension 1 and English Advanced are recommended.

External articulation

Students who have completed a relevant diploma at TAFE NSW may be eligible for at least 24 credit points of recognition of prior learning.

Recognition of prior learning

Students who have completed equivalent subjects at a recognised tertiary education institution may be eligible for recognition of prior learning (RPL) if the subjects completed are deemed by the Faculty to be equivalent to subjects in the course. Established agreements for RPL with external tertiary institutions are outlined in the Recognition of prior learning tool.

To be considered for recognition of prior learning, subjects must normally have been completed no more than ten years prior to the commencement of this course. Limits apply to the number of credit points of RPL that can be granted.

Course duration and attendance

The course is completed in three years of full-time study. Students may undertake an additional year with the Diploma in Information Technology Professional Practice (C20056).

Course structure

Students are required to complete 144 credit points, comprising:

  • Information Technology Core (48 credit points)
  • AI core (54 credit points)
  • AI choice of (18 credit points)
  • Electives or a sub-major choice of (24 credit points)

Course completion requirements

STM90651 Core subjects (Information Technology) 48cp
STM91743 Artificial Intelligence core 54cp
CBK92166 Artificial Intelligence options 18cp
CBK90783 Electives/Sub-major 24cp
Total 144cp

Course diagram

Course diagram: C10474

Course program

The program below shows a suggested sequence of subjects for a full-time student. It 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
33130 Mathematics 1   6cp
31268 Web Systems   6cp
37181 Discrete Mathematics   6cp
Select 6 credit points from the following:   6cp
48023 Programming Fundamentals 6cp  
41039 Programming 1 6cp  
Spring session
31265 Communication for IT Professionals   6cp
31271 Database Fundamentals   6cp
31250 Introduction to Data Analytics   6cp
31266 Introduction to Information Systems   6cp
Year 2
Autumn session
33230 Mathematics 2   6cp
41092 Network Fundamentals   6cp
48024 Programming 2   6cp
31269 Business Requirements Modelling   6cp
Spring session
31005 Machine Learning   6cp
41040 Introduction to Artificial Intelligence   6cp
57304 The Ethics of Data and AI   6cp
Select 6 credit points from the following:   6cp
CBK92069 Transdisciplinary Electives 6cp  
Year 3
Autumn session
41004 AI/Analytics Capstone Project   6cp
31272 Project Management and the Professional   6cp
Select 6 credit points from the following:   6cp
41043 Natural Language Processing 6cp  
42028 Deep Learning and Convolutional Neural Network 6cp  
43007 Advanced Artificial Intelligence 6cp  
43023 Emerging Topics in Artificial Intelligence 6cp  
43024 Introduction to Computational Intelligence 6cp  
Select 6 credit points from the following:   6cp
CBK92186 Electives 18cp  
Spring session
Select 12 credit points from the following:   12cp
31243 AI/Analytics Capstone Project B 6cp  
31256 Image Processing and Pattern Recognition 6cp  
32146 Data Visualisation and Visual Analytics 6cp  
41080 Theory of Computing Science 6cp  
43008 Reinforcement Learning 6cp  
48033 Internet of Things 6cp  
Select 12 credit points from the following:   12cp
CBK92186 Electives 18cp  
Spring commencing, full time
Year 1
Spring session
33130 Mathematics 1   6cp
31266 Introduction to Information Systems   6cp
31265 Communication for IT Professionals   6cp
Select 6 credit points from the following:   6cp
48023 Programming Fundamentals 6cp  
41039 Programming 1 6cp  
Year 2
Autumn session
33230 Mathematics 2   6cp
31250 Introduction to Data Analytics   6cp
48024 Programming 2   6cp
37181 Discrete Mathematics   6cp
Spring session
41040 Introduction to Artificial Intelligence   6cp
31005 Machine Learning   6cp
31271 Database Fundamentals   6cp
31269 Business Requirements Modelling   6cp
Year 3
Autumn session
57304 The Ethics of Data and AI   6cp
31268 Web Systems   6cp
41092 Network Fundamentals   6cp
Select 6 credit points from the following:   6cp
CBK92069 Transdisciplinary Electives 6cp  
Spring session
31272 Project Management and the Professional   6cp
Select 12 credit points from the following:   12cp
31243 AI/Analytics Capstone Project B 6cp  
31256 Image Processing and Pattern Recognition 6cp  
32146 Data Visualisation and Visual Analytics 6cp  
41080 Theory of Computing Science 6cp  
43008 Reinforcement Learning 6cp  
48033 Internet of Things 6cp  
Select 6 credit points from the following:   6cp
CBK92186 Electives 18cp  
Year 4
Autumn session
41004 AI/Analytics Capstone Project   6cp
Select 6 credit points from the following:   6cp
41043 Natural Language Processing 6cp  
42028 Deep Learning and Convolutional Neural Network 6cp  
43007 Advanced Artificial Intelligence 6cp  
43023 Emerging Topics in Artificial Intelligence 6cp  
43024 Introduction to Computational Intelligence 6cp  
Select 12 credit points from the following:   12cp
CBK92186 Electives 18cp  

Levels of award

The Bachelor of Artificial Intelligence may be awarded with distinction, credit or pass.

Honours

Students interested in research and who excel in their studies are eligible to undertake one additional full-time year of study in the Bachelor of Information Technology (Honours) (C09019). The honours year is also available on a part-time basis over two years.

Transfer between UTS courses

Students in this course may transfer to the Bachelor of Artificial Intelligence Bachelor of International Studies (C10475).

Professional recognition

Graduates are eligible to apply for professional-level membership of the Australian Computer Society.

Other information

Further information is available from:

UTS Student Centre
telephone 1300 ask UTS (1300 275 887) or +61 2 9514 1222
Ask UTS