PhD in Data Science and Analytics
Hong Kong, Hong Kong
DURATION
3 up to 4 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Request earliest startdate
TUITION FEES
HKD 42,100 / per year **
STUDY FORMAT
On-Campus
* contact us for more information
** per year
Scholarships
Explore scholarship opportunities to help fund your studies
Introduction
In the digital era, following advancements made in innovative technologies, data handling is growing at an unprecedented pace. The data-driven world opens tremendous possibilities and opportunities for companies and businesses for all industries as they can make use of the data information to create value for their business. As a disruptive consequence of the digital revolution, data science and analytics have become an emerging and cross-disciplinary field that requires knowledge and skills in many areas such as computer science, statistics, and mathematics.
The Doctor of Philosophy (Ph.D.) Program in Data Science and Analytics aims to facilitate close integration of statistical analytics, logical reasoning, and computational intelligence in the study of data processing and analytics. The program will provide rigorous research training that prepares students to become knowledgeable researchers who are conversant in applying logic, mathematics, algorithms, and computing power in the process of examining and analyzing data in academia or industry so as to derive valuable insights for making better decisions.
The Ph.D. program aims to develop the skills needed for students to identify theoretical research issues related to practical applications, formulate and undertake research that addresses issues identified, and independently find a data science and analytics-related solution. A Ph.D. graduate is expected to demonstrate mastery of knowledge in the discipline and to synthesize and create new knowledge, making an original and substantial scientific contribution to the discipline.
Admissions
Curriculum
Learning outcomes
On successful completion of the Ph.D. program, graduates will be able to:
- Identify scientific and engineering correlations, significances, and insights in new data science and analytics models, algorithms, tools, principles, frameworks, solutions, and techniques;
- Demonstrate critical thinking and analytical skills from the perspective of data science and analytics;
- Apply a range of qualitative and quantitative research methods for data science and analytics;
- Translate and transform fundamental research insights effectively into data science practice in academic fields and industry;
- Exercise independent thinking and demonstrate effective communication skills in presenting and publishing scientific findings; and
- Conduct original research independently and competently showing in-depth knowledge in the field of data science and analytics.