FIT3195 · Deep tech entrepreneurship

Overview

In today’s fast paced innovation-driven world, leveraging AI and other advanced technologies to develop impactful and practical solutions for real-world problems and convert these innovations into successful tech startups is a critical skill. This unit will equip you with the knowledge and tools to identify opportunities for creating deep tech start-ups, develop viable business strategies by understanding how investors value technology start-ups, understand how to develop pricing models for AI/deep tech entreprise solutions, and understand the technology architectures and testing frameworks to build scalable technology-based ventures. It integrates foundational programming with software engineering, human-centered computing and emerging tech like AI, cybersecurity, and immersive media ensuring you can apply these technical skills in an entrepreneurial context. A key focus will be on leveraging state-of-the-art AI models to solve real-world problems, particularly in cybersecurity, finance, healthcare, interactive media including gaming, AR/VR and other high-growth verticals. You will explore strategies for market validation, start-up building, and integrating these advanced technologies into products and solutions. The unit will emphasize on how concepts from software engineering and human centered computing are key elements in turning technology innovations into market-ready products. By the end of this unit, you will have the practical skills and insights to lead technology-driven innovations, build and scale start-ups, and navigate funding strategies and team dynamics. The curriculum will be underpinned by real-world experience through sessions with start-up founders and industry experts, empowering you to create, scale, and run your own ventures successfully.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Identify opportunities to leverage AI/ML and other emerging tech to build real-world practical solutions;
2. Evaluate market needs to position the unique tech product;
3. Evaluate business models and strategies and apply them to tech based ventures;
4. Develop and present a prototype in teams to test and improve the innovative solution as per market assessment;
5. Demonstrate technical and business concepts effectively to stakeholders including investors and industry leaders.
6. Develop entrepreneurial mindset to overcome challenges and solve problems.

Workload

Minimum expected workload to achieve the learning outcomes of this unit is 144 hours per semester comprising a mixture of scheduled face to face learning activities (2 hours workshop and 2 hours applied classes per week) and independent study. Independent study may include pre-class activities and post-class activities.

Student experience, not official rules. Nothing here changes what the Handbook says.