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.


Our Programmes

  • Research mode
    • Doctor of Philosophy
    • Master of Science (Mathematics)
    • Master of Science (Statistics)
  • Mixed Mode
    • Master of Science (Mathematics)
    • Master of Science (Statistics)
  • Coursework Mode
    • Master of Science (Teaching of Mathematics)

    Master of Science (Teaching of Mathematics) is also offered at USM@KL.


Application for Research Mode, Mixed Mode and Coursework Mode programme is open year-round.

All applications must be submitted via www.admissions.usm.my


  • Master of Science in Mathematics (Mixed Mode)

    Objectives of the Program

    1. Demonstrate mastery of knowledge, and adept in problem solving, digital skills and numeracy skills in applied mathematics and computation.
    2. Capable to solve mathematical problems independently and collaboratively by integrating advanced tools and techniques.
    3. Exhibit exemplary leadership, proficient organisational skill, effective communication and good ethics in professional and personal enhancement.

    Program Learning Outcomes

    1. Evaluate and explain advanced knowledge of applied mathematics.
    2. Perform suitable techniques and skills using mathematical tools to solve problems.
    3. Formulate solution to complex problems by using logical reasoning, critical thinking and scientific skills.
    4. Practise effective and efficient communication in both oral and written form.
    5. Display effective social skills and teamwork in matters related to assignments and research.
    6. Practise good ethics and professionalism at all times.
    7. Adapt with current skills of lifelong learning for continuous self–improvement.
    8. Integrate innovative approach in organising tasks and research activities.
    9. Display responsibility and exemplary leadership in individual and group work.
    10. Solve mathematical problems by constructing appropriate solution using digital tools.
    11. Construct appropriate mathematical approaches in providing precise and accurate computational solutions.

    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

    • MAT514 Mathematical Modelling (4 units)
    • MAT515 Computational Mathematics (4 units)
    • MAT516 Curve and Surface Methods for CAGD (4 units)
    • MAT517 Computational Linear Algebra (4 units)
    • MAT518 Numerical Methods for Differential Equation (4 units)

    Dissertation

    MAT510 Dissertation (20 units)

    Duration of the Programme

    12 – 24 months for Full-time students

    24 – 48 months for Part-time students

  • Master of Science in Statistics (Mixed Mode)

    Objectives of the Program

    1. Demonstrate mastery of knowledge, and adept in problem solving, digital skills and numeracy skills in statistics.
    2. Capable to solve statistical problems independently and collaboratively by integrating advanced tools and techniques.
    3. Exhibit exemplary leadership, proficient organisational skill, effective communication and good ethics in professional and personal enhancement.

    Program Learning Outcomes

    1. Evaluate and explain advanced knowledge of statistics.
    2. Perform suitable techniques and skills using statistical tools to solve problems.
    3. Formulate solution to complex problems by using logical reasoning, critical thinking and scientific skills.
    4. Practise effective and efficient communication in both oral and written form.
    5. Display effective social skills and teamwork in matters related to assignments and research
    6. Practise good ethics and professionalism at all times.
    7. Adapt with current skills of lifelong learning for continuous self–improvement.
    8. Integrate innovative approach in organising tasks and research activities.
    9. Display responsibility and exemplary leadership in individual and group work.
    10. Solve statistical problems by constructing appropriate solution using digital tools.
    11. Construct appropriate statistical approaches in providing precise and accurate computational solutions.

    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

    • MST561 Statistical Inference (4 units)
    • MST562 Stochastic Processes (4 units)
    • MST564 Reliability Statistics (4 units)
    • MST565 Linear Models (4 units)
    • MST567 Categorical Data Analysis (4 units)

    Dissertation

    MST566 Dissertation (20 units)

    Duration of the Programme

    12 – 24 months for Full-time students

    24 – 48 months for Part-time students

  • Master of Science in Teaching of Mathematics (Coursework)

    Objectives of the Program

    1. Demonstrate mastery of knowledge, and adept in problem solving, digital skills and numeracy skills in teaching of mathematics.
    2. Capable to solve mathematical problems independently and collaboratively by integrating advanced tools and techniques.
    3. Exhibit exemplary leadership, proficient organisational skill, effective communication and good ethics in professional and personal enhancement.

    Program Learning Outcomes

    1. Evaluate and explain advanced knowledge in mathematics.
    2. Perform suitable techniques and skills using mathematical and statistical tools to solve problems.
    3. Formulate solution to complex problems by using logical reasoning, critical thinking and scientific skills.
    4. Practise effective and efficient communication in both oral and written form.
    5. Display effective social skills and teamwork in matters related to assignments and research.
    6. Practise good ethics and professionalism at all times.
    7. Adapt with current skills of lifelong learning for continuous self–improvement.
    8. Integrate innovative approach in organising tasks and research activities.
    9. Display responsibility and exemplary leadership in individual and group work.
    10. Solve mathematical problems by constructing appropriate solution using digital tools.
    11. Construct appropriate mathematical approaches in providing precise and accurate computational solutions.

    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) :

    • MGM502 Number Theory (4 units)
    • MGM511 Linear Algebra (4 units)
    • MGM531 Euclidean Geometry (4 units)
    • MGM551 Operations Research (4 units)
    • MGM561 Statistical Methods for Research (4 units)
    • MGM562 Probability Theory (4 units)
    • MGM599 Research Project (8 units)

    Elective Courses (Choose 3 courses):

    • MGM501 Analysis (4 units)
    • MGM503 Combinatorics (4 units)
    • MGM563 Statistical Inference (4 units)
    • MGM581 Mathematics and Technology (4 units)
    • PMC561 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

  • Ph.D. / M.Sc. Research Mode

    Degrees through the research mode requires a minimum of one calendar year of research work for the M.Sc. 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.

    Duration of the Programme

    Ph.D. by Research

    • 24 – 60 months for Full-time students
    • 36 – 90 months for Part-time students

    M.Sc. by Research

    • 12 – 36 months for Full-time students
    • 24 – 72 months for Part-time students
  • For more information, kindly contact:

    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