Universities In Australia 
Universities In Canada 
Universities In Germany 
Universities In Ireland 
Universities In Jordan 
Universities In New Zealand 
Universities In Saudi Arabia 
Universities In United Kingdom 
Universities In United States Of America 
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.
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.