Overview
Key facts
Macau University of Science & Technology's Applied Mathematics and Data Science program is dedicated to cultivating high-level talents in applied mathematics and data science to satisfy the requirements in the business community, research institutions, and academia. Furthermore, developing the theories and applications of applied mathematics and data science required in cross-disciplinary research is the long-term goal to integrate the Big data processing in various industries, providing talents in big data analysis for Guangdong, Hong Kong and Macau Greater Bay Area.
Programme Structure
Courses include:
- Mathematics Methods for Data Science
- Numerical Linear Algebra
- Open Source Tool for Data Science
- Applied Statistics
- Data Mining
- Machine Leaming
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
Credits
Delivered
Disciplines
Mathematics Applied Mathematics Data Science & Big Data View 4 other Masters in Data Science & Big Data in Macao (SAR)Academic requirements
We are not aware of any academic requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Major in Mathematics, Physics, Computer, Engineering, Statistics, Economics, Biology and Medicine or related fields
Tuition Fee
-
International
10623 USD/yearTuition FeeBased on the tuition of 21247 USD for the full programme during 24 months. -
National
43500 USD/yearTuition FeeBased on the tuition of 87000 USD for the full programme during 24 months.
170,198 MOP
Living costs for Macao
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.