Study Plan

Macau University of Science and Technology

Master in Applied Mathematics and Data Science

This 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.

I. Program Duration

The normal study period of Master of Science in Applied Mathematics and Data Science program is 2 years, and could be extended to a maximum of 3 years

II. Study Mode

Lectures

III. Medium of Instruction

Chinese and English

IV. Academic Field

Mathematics and Data Science

V. Research Directions

Under the guidance of instructors, students perform research from (but not limited to) the following fields: 

  • Applied mathematics
  • Data mining
  • Machine learning

VI. Course Structure

Table 1: Core Courses (21 Credits)

Course Title

Type

Credit

Mathematics Methods for Data Science

Compulsory

3

Numerical Linear Algebra

Compulsory

3

Open Source Tool for Data Science

Compulsory

3

Applied Statistics

Compulsory

3

Data Mining

Compulsory

3

Machine Learning

Compulsory

3

Table 2: Elective Courses (9 Credits)

Course Title

Type

Credit

Advanced Topics in Applied Mathematics

Elective

3

Advanced Topics in Data Science

Elective

3

Programming in Data Science

Elective

3

Digital Image Processing

Elective

3

Data Visualization and Analyzation

Elective

3

Data Warehousing and Data Mining

Elective

3

Stochastic Processes

Elective

3

Multimedia Signals and Systems

Elective

3

Database Systems

Elective

3

*University has the ultimate right to cancel the course with insufficient number of students

Table 3: Other core courses (3 Credits)

Course Title

Type

Credit

Literature Survey and Thesis Proposal 

Compulsory

2

Academic Activities(At least six times of attendance)

Compulsory

1

Table 4: Thesis (6 Credits)

Course Title

Type

Credit

Thesis

Compulsory

6

VII. Teaching Requirements

  1. Students are required to complete seven courses from Table 1 during the first two semesters to gain 21 credits. 
  2. Students are required to complete 3 elective courses in Table 2 during the second and third semesters to gain 9 credits.
  3. After finishing each course, students will be assessed based on regulations established by the instructor and the Faculty.

VIII. Study Duration

  1. The maximum study period is 36 months.1.The duration for taking all courses is 18 months and the duration for thesis writing should not be less than 6 months.The maximum study period is 36 months.
  2. In general, classes will be arranged from Monday to Friday daytime.

IX. Graduation Requirements

Upon approval from the Senate of the University, a Master’s Degree will be conferred on a student when he or she has:

  1. Completed and met the requirements prescribed in the study plan of his or her program within the specific study period, and achieved a cumulative GPA of 2.50 or above (excluding thesis)
  2. Abided by the regulations of the University
  3. Cleared all fees and charges and returned all University’s property and equipment borrowed

If students pass all courses required in Table 1, 2, 3 above with a cumulative GPA of 2.5 or above, but fail to submit or pass the final thesis oral defense during the specified period, he/she can only get a completion certificate.

Note: All curriculums and study plans are based on the newest announcement of the Boletim Oficial da Região Administrativa Especial de Macau.

※ In case of any discrepancy, the Chinese version shall prevail.

Contact Us

Address: A206, Macau  University of Science and Technology,  Avenida Wai Long, Taipa, Macau

Bachelor’s  Program:

Tel        : (+853)8897-2103
E-mail   : fie_scse@must.edu.mo
Fax       : (+853) 2882-3280

Master &  Doctoral Programs:

Tel        : (+853)8897-1735
E-mail   : fie_scse@must.edu.mo
Fax       : (+853) 2882-3280