MSc in Mathematics
The master’s degree in mathematics encompasses the basic graduate curriculum in mathematics, and also offers the opportunity of some more specialized training in an area of interest. A typical master’s programme will involve the following fields: algebra, analysis, geometry, foundations, numerical analysis, computer science, and various other fields of applied mathematics.
There are two streams in the Programme:
·Mathematics Stream
·Big Data Analytics and Computations Stream
Learning Outcomes
On completion of this degree, graduates should have acquired good mathematical knowledge and skill beyond undergraduate level.
I. Mathematics Stream
A. Knowledge
Graduates should have acquired:
 advanced concepts in mathematics of higher level;
 mathematical theory and applications in rigorous fashion; and
 Further knowledge in recently developed topics of mathematics.
B. Skills
Graduates should have acquired:
 the ability to understand and comprehend mathematical literature of higher level independently;
 the ability to apply mathematical knowledge in a professional field (in teaching or in other fields); and
 the ability to formulate and communicate logically on problems involving mathematics;
C. Values and attributes
Graduates are expected to be able to:
 appreciate and advocate the beauty/power of higher mathematics in human culture and the modern society.
 take advantage of quantitative and analytic exactitude; and
 promote mathematics in scientific development as well as in the general education of the society.
II. Big Data Analytics and Computations Stream
A. Knowledge
Graduates will have advanced knowledge in computational methods and data analytics;
B. Skills
Graduates can apply efficient methods to analyze the data in many different areas, for example, business, industry and scientific research.
Coursework Requirement
I. Mathematics Stream
Applicable to students admitted from 201819 and thereafter.
Students are required to complete 24 units in Mathematics coded MMAT5xxx, in which at most 3 units can be chosen from MATH3XXX4XXX or MATH5XXX6XXX; or
II. Big Data Analytics and Computations Stream
Applicable to students admitted from 201819 and thereafter.
Students who select to specialize in Big Data Analytics and Computation Stream* are required to complete 24 units in MMAT5XXX, in which at least 18 units are chosen from MMAT5210, 5230, 5240, 5250, 5310, 5320, 5330, 5340, 5350, 5360, 5370, 5380 and 5390. At most 3 units can be chosen from MATH3XXX4XXX or MATH5XXX6XXX.
At least one full academic year of study for a fulltime student and at least two full academic years of study for a parttime student are required. Unless with written approval from the Graduate Panel, a fulltime student should take no more than 5 courses in each term; a parttime student should take no more than 2 courses in each term.

Course List

Code
Course Title
Unit
MMAT5000
3
3
MMAT5011
3
MMAT5020
3
3
3
MMAT5110
3
MMAT5120
3
3
MMAT5140
3
3
MMAT5220
3
3
MMAT5240
3
3
MMAT5260
3
3
MMAT5310
3
MMAT5320
3
MMAT5330
3
MMAT5340
3
MMAT5350
3
MMAT5360
3
MMAT5370
Social and Economic Networks: theory, Modelling and Computations
3
MMAT5380
3 MMAT5390
3 MMAT5410
3
MMAT5420
3
MMAT5430
3
MMAT5440
3
Other Requirements
 Students must fulfill the Term Assessment Requirement of the Graduate School. For details, please refer to Section 13.0 “Unsatisfactory Performance and Discontinuation of Studies” of the General Regulations Governing Postgraduate Studies which can be accessed from the Graduate School Homepage: http://www.gs.cuhk.edu.hk.
 A student must achieve a cumulative grade point average (GPA) of at least 2.0 in order to fulfill the graduation requirement, unless special approval is granted by the Graduate Council.
Stream Declaration
 Stream declaration will be done in the last term of study. This stream will be officially recorded on academic transcripts if stream declaration is approved and all the requirements as specified are fulfilled.
 Students who do not declare specialization in Big Data Analytics and Computations Stream or do not meet the requirements of this stream are automatically in Mathematics Stream. In this case, the Mathematics Stream will not be recorded on academic transcripts.