School of Mathematical Sciences  |  Universiti Sains Malaysia

Postgraduate Degree Programmes

The School of Mathematical Sciences, USM, was established in 1974. The school has currently more than 45 lecturers, grouped into 3 main departments, namely Pure Mathematics, Applied Mathematics and Statistics/Operations Research. As for postgraduate programmes, the school offers the Doctor of Philosophy (Ph.D) and Master of Science (M.Sc.) by research; M.Sc. (Statistics) and M.Sc. (Mathematics) via mixed mode; and M.Sc. (Teaching of Mathematics) via coursework. The school also actively organizes numerous short courses, such as time series econometrics, statistical data analysis, statistical quality control and linear regression to industrial practitioners, college and university lecturers, and postgraduate students.

 

Research Mode:

  1. Doctor of Philosophy (Ph.D)
  2. Master of Science (M. Sc.)
    1. Master of Science (Mathematics)
    2. Master of Science (Statistics)

Mixed Mode:

  1. Master of Science (Mathematics)
  2. Master of Science (Statistics)

Coursework Mode:

Master of Science (Teaching of Mathematics)

Download Our Postgraduate Brochure Here (Updated Nov 2022)

 

MSc Math

Master of Science in Mathematics (Mixed Mode)

Student Intake

Intake for this taught programme is in September (Sem 1) and February (Sem 2) of each Academic Year. Deadlines for submission will be stated in advertisements which will appear in March/October. All forms are downloadable from the IPS website http://www.ips.usm.my or obtainable from the IPS office directly.

Admission Requirement

An undergraduate degree in Mathematics (or a related subject) with CGPA of at least 2.75.

Objectives of the Program

In line with the mission of the School of Mathematical Sciences PPSM), the Master of Science (Mathematics) program offers high-quality mathematics courses with the aim of:

  • PEO 1: Produce experts in the field of Applied Mathematics and Computation.
  • PEO 2: Able to conduct research or development activities in the field of Mathematics.
  • PEO 3: Able to become an educator in Applied Mathematics and Computing up to postgraduate level.

Program Learning Outcomes

  • PLO 1: Apply deep knowledge in mathematics and applied mathematics to various activities.
  • PLO 2: Having high practical skills such as mathematical coding using specific computer programming.
  • PLO 3: Formulate complex problems to solve using logical reasoning, critical thinking and scientific skills.
  • PLO 4: Communicate effectively and efficiently in both oral and written form for matters related to Applied Mathematics and Calculation individually or in groups.
  • PLO 5: Effectively exhibit social skills, teamwork and social responsibility as an individual in matters related to assignments and research.
  • PLO 6: Exhibit and practice values, attitudes and professionalism at all times.
  • PLO 7: Apply the knowledge gained to adapt to the latest research while continuously learning new skills and abilities.
  • PLO 8: Acquire entrepreneurial skills in handling various projects and research activities.
  • PLO 9: Able to be a skilled and innovative leader in Applied Mathematics and Computing.
  • PLO10: Competent in digital skills to conduct research in Applied Mathematics and Computation.
  • PLO11: Capable of numeracy skills in various issues related to Applied Mathematics and Calculation.

Course Structure

The students need to obtain grade B or better in 20 units for taught courses from the following list, pass a dissertation course as well as achieve CGPA of 3.0 or higher.

Taught Courses

  • MAT 514 : Mathematical Modelling (4 units)
  • MAT 515 : Computational Mathematics (4 units)
  • MAT 516 : Curve and Surface Methods for CAGD (4 units)
  • MAT 517 : Computational Linear Algebra (4 units)
  • MAT518: Numerical Methods for Differential Equation (4 units)

Dissertation

MAT 510 : Dissertation (20 units)

Duration of the Programme

12 – 24 months for Full-time students

24 – 48 months for Part-time students

 

MSc Stats

Master of Science in Statistics (Mixed Mode)

Student Intake

Intake for this taught programme is in September (Sem 1) and February (Sem 2) of each Academic Year. Deadlines for submission will be stated in advertisements which will appear in  March/October. All forms are downloadable from the IPS website http://www.ips.usm.my or obtainable from the IPS office directly.

Admission Requirement

An undergraduate degree in Mathematics (or a related subject) with CGPA of at least 2.75.

Objectives of the Program

In line with the mission of the School of Mathematical Sciences PPSM), the Master of Science (Statistics) program offers high-quality statistics courses with the aim of:

  • PEO 1: Produces experts in the field of statistics.
  • PEO 2: Capable of conducting research or development activities in the field of statistics.
  • PEO 3: Able to become an educator in statistics up to postgraduate level.

Program Learning Outcomes

  • PLO 1: Apply in-depth statistical knowledge to various activities in the field of statistics.
  • PLO 3: Formulate, analyze and solve problems using statistical knowledge and techniques.
  • PLO 4: Communicate ideas and knowledge in statistics effectively and efficiently in both oral and written form individually or in groups.
  • PLO 6: Exhibit and practice values, attitudes and professionalism at all times.
  • PLO 7: Apply the knowledge gained to adapt to the latest research while continuously learning new skills and abilities.
  • PLO 8: Acquire entrepreneurial skills in handling various projects and research activities.
  • PLO10: Ability in digital skills to carry out research in the field of statistics.
  • PLO11: Competent with numeracy skills in various issues related to statistics.

Course Structure

The students need to obtain grade B or better in 20 units for taught courses from the following list, pass a dissertation course as well as achieve CGPA of 3.0 or higher.

Taught Courses

  • MST 561 : Statistical Inference (4 units)
  • MST 562 : Stochastic Processes (4 units)
  • MST 564 : Reliability Statistics (4 units)
  • MST 565 : Linear Models (4 units)
  • MST 567 : Categorical Data Analysis (4 units)

Dissertation

MST 566 : Dissertation (20 units)

Duration of the Programme

12 – 24 months for Full-time students

24 – 48 months for Part-time students

 

MSc Teaching of Math

Master of Science in Teaching of Mathematics (Coursework)

Students Intake

Intake for this taught programme is in September (Sem 1) and February (Sem 2) of each Academic Year. Deadlines for submission will be stated in advertisements which will appear in March/October. All forms are downloadable from the IPS website http://www.ips.usm.my or obtainable from the IPS office directly.

Admission Requirement

An undergraduate degree in Mathematics (or a related subject) with CGPA of at least 2.75. Candidates must be involved in the teaching profession.

Objectives of the Program

In line with the mission of the School of Mathematical Sciences PPSM), the Master of Science (Teaching Mathematics) program offers high-quality mathematics courses with the aim of:

  • PEO 1: Produce experts in the field of teaching Mathematics courses at the pre university level.
  • PEO 2: Able to conduct research or development activities among teachers.
  • PEO 3: Able to become an educator in Mathematics up to postgraduate level.

Program Learning Outcomes

  • PLO 1: Apply deep knowledge in mathematics various activities involving teaching.
  • PLO 2: Having high practical skills such as mathematical coding using specific computer programming.
  • PLO 3: Formulate complex problems to solve using logical reasoning, critical thinking and scientific skills.
  • PLO 4: Communicate effectively and efficiently in both oral and written form for matters related to teaching of Mathematics individually or in groups.
  • PLO 5: Effectively exhibit social skills, teamwork and social responsibility as an individual in matters related to assignments and research.
  • PLO 6: Exhibit and practice values, attitudes and professionalism at all times.
  • PLO 7: Apply the knowledge gained to adapt to the latest research while continuously learning new skills and abilities.
  • PLO 8: Acquire entrepreneurial skills in handling various teaching projects and research activities.
  • PLO 9: Able to be a skilled and innovative leader in teaching of Mathematics.
  • PLO10: Competent in digital skills to conduct research in issues and problems related with teaching of Mathematics.
  • PLO11: Capable of numeracy skills in various issues related to teaching of Mathematics.

Program Structure

The students need to achieve 43/44 units of taught courses from the following list of compulsory and elective courses and must maintain a   CGPA of 3.0 or higher as a fulfillment for the program.

Compulsory Courses (32 units) :

  • MGM 502 Number Theory (4 units)
  • MGM 511 Linear Algebra (4 units)
  • MGM 531 Euclidean Geometry (4 units)
  • MGM 551 Operations Research (4 units)
  • MGM 561 Statistical Methods for Research (4 units)
  • MGM 562 Probability Theory (4 units)
  • MGM 599 Research Project (8 units)

Elective Courses (Choose 3 courses):

  • MGM 501 Analysis (4 units)
  • MGM 503 Combinatorics (4 units)
  • MGM 563 Statistical Inference (4 units)
  • MGM 581 Mathematics and Technology (4 units)
  • PMC 561 Teaching and Learning Theories in Mathematics (3 units)

 

Duration of the Programme

18 – 24 months for Full-time students

30 – 48 months for Part-time students

Research-based program

 

MSc PhD Research

Degrees through the research mode requires a minimum of one calendar year of research work for the Masters Degree and two calendar years for Ph.D. Degree.

Research Topics

Students will be going through research under the supervision of an academic staff and a thesis is expected at the end of study. Please see staff’s research interests to choose your topic.

M.Sc. by Research

Admission Requirement

An undergraduate degree in Mathematics (or a related subject) with CGPA of at least 2.75.

Duration of the Programme

12 – 36 months for Full-time students

24 – 72 months for Part-time students

Ph.D. by Research

Admission Requirement

Bachelor of Science (First Class or equivalent) or a good Master of Science in Mathematics or related discipline

Duration of the Programme

24 – 60 months for Full-time students

36 – 90 months for Part-time students

 

Contact

General Inquiries and Contact Numbers

Deputy Dean (Research)
School of Mathematical Sciences
Universiti Sains Malaysia
11800 USM Penang
Malaysia
Telephone : +60 4 653 3283
Fax : +60 4 657 0910
E-Mail : farahaini@usm.my

 

 

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School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM Penang, Malaysia
Tel : +604 653 3284 | Fax : +604 657 0910  |  E-Mail : dean_mat@usm.my  |  icon admin