Master of Science in Data Science 12 months Postgraduate Programme By Lingnan University, Hong Kong |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

36,860 USDTuition Fee/year

Starting Month

SepStarting Month

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The Master of Science in Data Science (MScDS) Programme is offered and managed by the Division of Artificial Intelligence, School of Data Science, Lingnan University. The normal duration for this programme is one year full-time and the maximum period of study is three years. 

Our programme equips students with cutting-edge technical skills in big data analytics, AI, and machine learning through practical, industry-relevant coursework designed to maximize career prospects in Hong Kong's growing data science sector.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The Master of Science in Data Science (MScDS) Programme is offered and managed by the Division of Artificial Intelligence, School of Data Science, Lingnan University. The normal duration for this programme is one year full-time and the maximum period of study is three years. 

Our programme equips students with cutting-edge technical skills in big data analytics, AI, and machine learning through practical, industry-relevant coursework designed to maximize career prospects in Hong Kong's growing data science sector.

Admission Requirements

6+
79+

1 Year
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance

Tuition fees

Domestic
36,860 USD
International
36,860 USD

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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