Master of Science in Data Science (Analytics in Teaching and Learning) 24 months Postgraduate Programme By University of Macau |TopUniversities
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Master of Science in Data Science (Analytics in Teaching and Learning) Master of Science in Data Science (Analytics in Teaching and Learning)

Location

UM Hengqin campus, Macau, Macau SAR
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Programme Duration

24 monthsProgramme duration

Tuitionfee

10,857 USDTuition Fee/year

Application Deadline

02 Jan, 2026Application Deadline

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

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Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MA

Study Level

Masters

Study Mode

On Campus

The intended learning outcomes of Master of Science in Data Science (Analytics in Teaching and Learning) are:


  • Acquire basic knowledge of data processing, data science, and big data infrastructure for identifying data- driven solutions to interdisciplinary problems.
  • Perform inter-disciplinary data analytic tasks using software and data science related techniques.
  • Recognize contemporary issues and challenges in data science technologies.
  • Derive knowledge and strategies from data and apply them to inter-disciplinary fields.
  • Make informed educational judgment with big data
  • Evaluate educational big data and help decision-makers identify short- and long-term objectives and methodologies to bring about or adopt change.
  • Collect and analyze data, and employ measurements or metrics to generate new insights about teaching and learning for improved educational outcomes.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MA

Study Level

Masters

Study Mode

On Campus

The intended learning outcomes of Master of Science in Data Science (Analytics in Teaching and Learning) are:


  • Acquire basic knowledge of data processing, data science, and big data infrastructure for identifying data- driven solutions to interdisciplinary problems.
  • Perform inter-disciplinary data analytic tasks using software and data science related techniques.
  • Recognize contemporary issues and challenges in data science technologies.
  • Derive knowledge and strategies from data and apply them to inter-disciplinary fields.
  • Make informed educational judgment with big data
  • Evaluate educational big data and help decision-makers identify short- and long-term objectives and methodologies to bring about or adopt change.
  • Collect and analyze data, and employ measurements or metrics to generate new insights about teaching and learning for improved educational outcomes.

Admission Requirements

2.3+
6+
80+
An applicant of a Master’s degree programme must possess a Bachelor’s degree or academic background recognized as equivalent by the University of Macau. An applicant may also be required to possess other knowledge or professional experience. Applicants should have achieved the equivalent of an overall result of Grade C+ or better in the Bachelor’s degree studies.

02 Jan 2026
2 Years
Aug

Domestic
6,102 USD
International
10,857 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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Scholarships to study abroad

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Scholarship Applications: Frequently Asked Questions

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