¿Qué aprenderé?

The programme aims to produce data-analytic and business-aware graduates to meet the growing demand for high-level data science skills and to prepare graduates to apply data science techniques to knowledge discovery and dissemination in organizational decision-making. It is also intended to help established data analytic professionals upgrade their technical management and development skills and to provide a solid path for students from diverse fields to rapidly transition to data science careers.

Programme Intended Learning Outcomes (PILOs):

Upon successful completion of this Programme, students are expected to:

  • Apply knowledge of science and engineering appropriate to the data science discipline;
  • Apply contemporary techniques for managing, mining and analyzing data across multiple discipline;
  • Use computational thinking to discover new knowledge and to solve real-world problems with high complexity;
  • Recognize the need for and engage in continuous learning about emerging and innovative data science techniques and ideas;
  • Communicate ideas and findings in written, oral and visual forms and work in a diverse team environment.

Career Prospects

A strong demand of the data scientists and analysts has been recently observed in the worldwide job market. This programme aims at producing analytic and business-aware graduates to meet the growing demand by equipping them with big data analytics skills and nurturing their capability in applying data science techniques to address emerging complicated real-life problems. Upon successful completion of this programme, the student should be able to:

  • Apply data processing skills to handle data of various formats and sizes.
  • Conduct comprehensive data analytics with integrating techniques from various disciplines for knowledge discovery and dissemination in organizational decision-making.
  • Utilize a variety of data visualization techniques to interpret data analytics results.
  • Demonstrate strong quantitative capabilities as well as communication skills.
  • Develop descriptive, prescriptive and predictive analytics solutions to tackle emerging challenges in contemporary problems.

¿En cuál departamento estoy?

School of Data Science

Opciones de estudio

a tiempo completo (NORMAL STUDY PERIOD: 1 YEAR, MAXIMUM STUDY PERIOD: 2.5 YEARS)

Costos de estudio
HK$253.500,00 (US$ 32.591) por año
HK $8,450 per credit
Aplicaciones hasta

Esperado April 2022

Más detalles

Fecha de inicio

Esperado Septiembre 2021

Lugar

City University of Hong Kong

Tat Chee Avenue,

Kowloon City, Hong Kong, Kowloon

Requerimiento de entrada

Para estudiantes de Estados Unidos

Applicants must hold a bachelor's degree of one of the universities in Hong Kong or of an overseas institution recognized for this purpose by the University; or hold such other qualifications as deemed acceptable by the University as equivalent. English Language Requirements: a TOEFL score of 550 (paper-based test) or 79 (internet-based test); or an overall band score of 6.5 in International English Language Testing System (IELTS); or band 6 in the Chinese mainland's College English Test; or other equivalent qualifications

Para estudiantes internacionales

Applicant must be a degree holder in Engineering, Science or other relevant disciplines, or its equivalent

Non-local candidates from an institution where medium of instruction is not English should fulfill one of the following English proficiency requirements.

  • a score of 550 (paper-based test) or 59 (revised paper-delivered test) or 79 (Internet-based test) in the Test of English as a Foreign Language (TOEFL); or
  • an overall band score of 6.5 in International English Language Testing System (IELTS); or
  • a minimum score of 450 in band 6 in the Chinese mainland’s College English Test (CET6); or
  • other equivalent qualifications

Puede haber diferentes requisitos de IELTS en función del curso elegido.

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