Learning Outcomes

On successful completion of this course, students will be able to:

Understand and apply a broad and coherent body of data science in a wide range of applications from the following areas: data modelling, data exploration, machine learning, data visualisation, business analytics, predictive analytics, data analytics for cybersecurity, IT profession and ethics, text mining and NLP;

Analyse and adapt the latest data science technologies with intellectual independence, self- learning capabilities and creativity to identify and solve real-world problems with sound decisions and judgement in a broad range of sectors including ICT, government, banking and finance, retail, education, health, social network and marketing;

Exhibit a range of technical, analytical, managerial, leadership and interpersonal skills; in depth understanding to the codes of ethics and conducts of data science professions; and

Exhibit a capacity to undertake IT design and development practice in an independent or collaborative environment with a strong industry focus; and the responsibility and accountability as a lifelong learner for their own learning and professional practice.