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This course is tailored for aspiring artificial intelligence professionals eager to address the challenges posed by vast data streams and develop autonomous solutions across various sectors. Opt for this course to become part of a high-demand field, equipped with robust technical skills and an understanding of AI's potential and pitfalls.
You will develop AI problem-solving skills, from conceptualisation to solution validation, using cutting-edge technologies. Explore deep learning, reinforcement learning, image processing, and natural language processing, ensuring a comprehensive grasp of AI's diverse landscape.
Gain critical competencies, including mathematical foundations, software development, and IT skills, essential for AI specialisation. Engage in collaborative, inquiry-based learning activities that sharpen your analytical and management abilities for AI challenges.
Experience a blend of lectures and hands-on projects, utilising advanced software and tools. Real-world case studies will hone your skills, preparing you for careers in industry and business. Develop critical thinking, problem-solving, interpersonal, and teamwork skills, positioning you to innovate in big data, cloud computing, and automation.
By the end of the course, you'll be able to create AI solutions for applications like autonomous vehicles and voice assistants. Pursue roles such as AI analyst, machine learning engineer, or data scientist, and drive innovation in your chosen 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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
This course is tailored for aspiring artificial intelligence professionals eager to address the challenges posed by vast data streams and develop autonomous solutions across various sectors. Opt for this course to become part of a high-demand field, equipped with robust technical skills and an understanding of AI's potential and pitfalls.
You will develop AI problem-solving skills, from conceptualisation to solution validation, using cutting-edge technologies. Explore deep learning, reinforcement learning, image processing, and natural language processing, ensuring a comprehensive grasp of AI's diverse landscape.
Gain critical competencies, including mathematical foundations, software development, and IT skills, essential for AI specialisation. Engage in collaborative, inquiry-based learning activities that sharpen your analytical and management abilities for AI challenges.
Experience a blend of lectures and hands-on projects, utilising advanced software and tools. Real-world case studies will hone your skills, preparing you for careers in industry and business. Develop critical thinking, problem-solving, interpersonal, and teamwork skills, positioning you to innovate in big data, cloud computing, and automation.
By the end of the course, you'll be able to create AI solutions for applications like autonomous vehicles and voice assistants. Pursue roles such as AI analyst, machine learning engineer, or data scientist, and drive innovation in your chosen 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.
Admission Requirements
82.1+
176+
58+
79+
6.5+
Applicants must have completed an Australian Year 12 qualification, Australian Qualifications Framework Diploma, or equivalent Australian or overseas qualification at the required level.
Eligibility for admission does not guarantee offer of a place.
3 Years
Feb
Jul
Domestic
9,314 AUD
International
52,410 AUD
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Bachelor of Artificial Intelligence
UTS City Campus, Sydney, Australia
# 36QS Subject Rankings
36 monthsProgramme duration
52,410 AUDTuition Fee/year
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
You will develop AI problem-solving skills, from conceptualisation to solution validation, using cutting-edge technologies. Explore deep learning, reinforcement learning, image processing, and natural language processing, ensuring a comprehensive grasp of AI's diverse landscape.
Gain critical competencies, including mathematical foundations, software development, and IT skills, essential for AI specialisation. Engage in collaborative, inquiry-based learning activities that sharpen your analytical and management abilities for AI challenges.
Experience a blend of lectures and hands-on projects, utilising advanced software and tools. Real-world case studies will hone your skills, preparing you for careers in industry and business. Develop critical thinking, problem-solving, interpersonal, and teamwork skills, positioning you to innovate in big data, cloud computing, and automation.
By the end of the course, you'll be able to create AI solutions for applications like autonomous vehicles and voice assistants. Pursue roles such as AI analyst, machine learning engineer, or data scientist, and drive innovation in your chosen 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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
You will develop AI problem-solving skills, from conceptualisation to solution validation, using cutting-edge technologies. Explore deep learning, reinforcement learning, image processing, and natural language processing, ensuring a comprehensive grasp of AI's diverse landscape.
Gain critical competencies, including mathematical foundations, software development, and IT skills, essential for AI specialisation. Engage in collaborative, inquiry-based learning activities that sharpen your analytical and management abilities for AI challenges.
Experience a blend of lectures and hands-on projects, utilising advanced software and tools. Real-world case studies will hone your skills, preparing you for careers in industry and business. Develop critical thinking, problem-solving, interpersonal, and teamwork skills, positioning you to innovate in big data, cloud computing, and automation.
By the end of the course, you'll be able to create AI solutions for applications like autonomous vehicles and voice assistants. Pursue roles such as AI analyst, machine learning engineer, or data scientist, and drive innovation in your chosen 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.
Admission Requirements
Eligibility for admission does not guarantee offer of a place.
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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Natural Sciences (6)
Doctor of Philosophy (PhD Thesis: Mathematical Sciences)
Doctor of Philosophy (PhD Thesis: Mathematical Sciences)
Doctor of Philosophy (PhD Thesis: Science)
Doctor of Philosophy (PhD Thesis: Science)
Doctor of Philosophy (PhD Thesis: Sustainable Futures)
Doctor of Philosophy (PhD Thesis: Sustainable Futures)
Social Sciences and Management (6)
Doctor of Philosophy (PhD Thesis: Communication)
Doctor of Philosophy (PhD Thesis: Communication)
Doctor of Philosophy (PhD Thesis: International)
Doctor of Philosophy (PhD Thesis: International)
Doctor of Philosophy (PhD Thesis: Law)
Doctor of Philosophy (PhD Thesis: Law)
Doctor of Philosophy (PhD Thesis: Sport and Exercise)
Doctor of Philosophy (PhD Thesis: Sport and Exercise)