Data Science Innovation And Entrepreneurship
Fundamental concepts of innovation, and business ideas in general. Product development. Business leadership. Digital marketing. Entrepreneurial opportunities in IT. Legal issues and Business ethics. New venture creation process. Business feasibility planning. Market research. Business strategy.…
Learning outcomes
At the end of this course, students should be able to: 1. explain business models; 2. identify some entrepreneurial opportunities available in IT; 3. describe business plan and business startup process; 4. explain business feasibility and strategy; 5. explain marketing strategies; and 6. discuss business ethics and legal issues. New Computing
Course contents
Fundamental concepts of innovation, and business ideas in general. Product development. Business leadership. Digital marketing. Entrepreneurial opportunities in IT. Legal issues and Business ethics. New venture creation process. Business feasibility planning. Market research. Business strategy. Business models and Business plans. Technical presentations. Report on a successful entrepreneurial outfit. DTS 399: SIWES II (3 Units C: PH 135) Learning Outcomes At the end of the course, the students should be able to: 1. appreciate the realities of the computing industry beyond the walls of the University, through an attachment with an organisation in the computing industry; and 2. apply the skills and knowledge they acquired in class towards solving real problems in actual working environments. Course Contents Requires 3 months of Industrial Training after the completion of 300 Level. Students’ experience will be documented and presented in a Seminar.