Bachelor of Information Technology - Artificial Intelligence

The world is drawing closer together. As the speed and quality of digital technologies continues to evolve, we need more passionate professionals who can create meaningful solutions and connections. Designed to help you build our digital future, La Trobe's Bachelor of Information Technology equips you with skills across programming, networking, databases, systems analysis and design, and project management. Along with building a strong set of core IT skills you can choose to major in one of several areas aligned to future industry growth including artificial intelligence, cloud analytics, cybersecurity, network engineering or information systems.
Broaden your knowledge and capabilities further through a wide range of electives. Combine your core IT skills with business, social sciences, humanities, web engineering, computer technology, security and information systems analysis subjects. Plus you could develop a software program of your own, which you could present at the annual Engineering and IT Showcase to potential employers.
Apply information technology knowledge and skills, and critical thinking to find practical and innovative solutions for industry problem, Evaluate the suitability of information technology to develop and implement appropriate solutions, Work effectively both autonomously and in collaboration with others to complete information technology projects to professional standards, Apply awareness of the ethical and cultural values to shape the complex professional work of information technology professional, Apply well-developed skills in information technology to find sustainable solutions across diverse business environments, Engage diverse audiences to explain and present ideas and build influential relationships. Apply standards, methods, tools and applications relevant to a specialist information technology area to make appropriate decisions.

Dive into the future of technology with studies in artificial intelligence. Explore the foundations of artificial intelligence and build sought-after knowledge in AI algorithms, deep learning, machine learning, computer vision and natural language processing

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