Master of Philosophy and Doctor of Philosophy Programs in Data Science and Analytics

GENERAL INFORMATION

Award Title
Master of Philosophy in Data Science and Analytics
Doctor of Philosophy in Data Science and Analytics

Program Short Name
MPhil(DSA)
PhD(DSA)

Mode of Study
Both full- and part-time

Normative Program Duration

MPhil
Full-time: 2 years
Part-time: 4 years

PhD
Full-time: 3 years (with a relevant research master’s degree), 4 years (without a relevant research master’s degree)
Part-time: 6 years

Offering Unit

Data Science and Analytics Thrust Area

Information Hub

Program Advisor
PG Programs Coordinator:
Prof Nan TANG, Associate Professor of Data Science and Analytics

Website
https://www.hkust-gz.edu.cn/academics/hubs-and-thrust-areas/information-hub/data-science-and-analytics/

Enquiry
[emailprotected]

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 values for their business. As a disruptive consequence of the digital revolution, data science and analytics has become an emerging and cross-disciplinary field that requires knowledge and skills in many areas such as computer science, statistics and mathematics.

The Master of Philosophy (MPhil) and Doctor of Philosophy (PhD) Programs in Data Science and Analytics aim to facilitate close integration of statistical analytics, logical reasoning, and computational intelligence in the study of data processing and analytics. The programs 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 MPhil Program aims to expose students to issues involved in the development of scientific, educational and commercial applications of data science and analytics. A graduate of the MPhil program should demonstrate a good working knowledge of issues in the discipline. He or she should be capable of synthesizing and creating new knowledge, making contribution to the field.

The PhD 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 PhD graduate is expected to demonstrate mastery of knowledge in the discipline and to synthesize and create new knowledge, making original and substantial scientific contribution to the discipline.

LEARNING OUTCOMES

On successful completion of the MPhil program, graduates will be able to:

1. Demonstrate critical thinking and analytical skills essential for solving real data science problems;
2. Apply a range of qualitative and quantitative research methods for data science and analytics; and
3. Translate and transform advanced research techniques effectively into data science practice in academic fields or industry.

On successful completion of the PhD program, graduates will be able to:

1. Identify scientific and engineering correlations, significances, and insights in new data science and analytics models, algorithms, tools, principles, frameworks, solutions, and techniques;
2. Demonstrate critical thinking and analytical skills from the perspective of data science and analytics;
3. Apply a range of qualitative and quantitative research methods for data science and analytics;
4. Translate and transform fundamental research insights effectively into data science practice in academic fields and industry;
5. Exercise independent thinking and demonstrate effective communication skills in presenting and publishing scientific findings; and
6. Conduct original research independently and competently showing in-depth knowledge in the field of data science and analytics.

ADMISSION REQUIREMENTS

To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission.

1. General Admission Requirements of the University

Please refer to Admission Requirements.

2. English Language Admission Requirements

Please refer to Admission Requirements.

APPLICATION

Admission to HKUST(GZ)

Apply online before the application deadlines.

Application Fee

RMB150

.