麻豆原创

• To give students with a wide variety of qualifications an opportunity to realise their potential.
• To enrich the curriculum content and teaching quality through the professional and/or research expertise of staff and through links to external organisations.
• To encourage and support students while they develop and apply subject-specific and generic skills that will facilitate life-long learning and continuing professional development.
• To produce graduates who can make a significant contribution to their chosen profession.
• To provide an understanding of common machine learning and AI algorithms, Statistical and computational models, and to apply these techniques to create high quality computer systems.
• To produce graduates who are technical experts, but who also have an awareness of the business, social, legal and ethical contexts of IT.
• To encourage exploration and enthusiasm for both the subject of computing and to encourage creativity.

AIMS OF THE PROGRAM

• Technical understanding of data science body of knowledge.
• Familiarity with common DS themes and principles such as Computational and statistical thinking, mathematical foundations, Model building and assessment, Algorithms and software foundation, Data curation, Knowledge transference 鈥� communication and responsibility.
• Appreciation of the interplay between theory and practice.
• System-level perspective; ability to think at multiple levels of detail and abstraction.
• Commitment to professional responsibility, recognizing the social, legal, ethical, and cultural issues inherent in the discipline of data science and computing.
• Awareness of the broad applicability of data science, promoting dual coverage combining both data science fundamentals and applications, exploring why people turn to data to explain contextual phenomena.
• Appreciation of domain-specific knowledge

EMPLOYMENT OPPORTUNITIES

• Data Scientist
• Machine Learning Engineers
• BI Engineers
• Consultants
• Web Analytics Engineers
• Software Engineers
• Deployment Engineers
• Computer Scientists
• Research Engineers
• Research Scholars
• Robotic Engineer