Programme Name: Master of Science in Mathematics
- Master of Science in Mathematics
- Entry Requirement
- Programme Objectives
- Programme Learning Outcomes
- Classification of Subjects
- Programme Structure
- Mapping
- Career Prospects
| Awarding Institution | Universiti Teknologi Malaysia | |||
| Teaching Institution | Universiti Teknologi Malaysia | |||
| Programme Name | Master of Science in Mathematics | |||
| Final Award |
Master of Science in Mathematics | |||
| Programme Code | MSCH2 | |||
| Professional or Statutory Body of Accreditation |
Kementerian Pengajian Tinggi | |||
| Language(s) of Instructions |
Bahasa Melayu & English | |||
| Mode of Study | Conventional | |||
| Mode of operation | Self-govern | |||
| Study Scheme | Full Time | |||
| Study Duration |
Minimum: 3 semesters Maximum: 8 semesters |
|||
| Type of Semester | No. of Semesters | No. of weeks per semester | ||
| Full Time | Full Time | |||
| Normal | 8 | 14 | ||
https://admission.utm.my/postgraduate-entry-requirements
MASTER’s DEGREE
- A Bachelor’s Degree with good honours from Universiti Teknologi Malaysia or any other institution of higher learning recognised by the Senate; or
- A qualification equivalent to a Bachelor’s Degree and experience in the relevant field recognised by the Senate.
Graduates of the programme should be
- knowledgeable and competent in embedding advanced mathematical approaches in solving multidisciplinary science problems.
- professionally competent with initiative for career advancement through life-long learning.
- proficient in practicing ethical principles within organizational and societal context.
| Intended Learning Outcomes | Teaching and Learning Methods | Assessment | |
| PO1. Knowledge and Understanding (KW) | |||
| Synthesize advanced technical knowledge to generate new ideas in the field of mathematical sciences. | Guided lectures, computer laboratory works, directed reading, group discussion, problem solving and intellectual discourse. | Examinations, tests, quizzes, project reports and assignments. | |
| PO2. Coginitive Skills (CS) | |||
| Construct solutions for various problems related to the discipline of mathematical sciences. |
Lectures, mini research, computer laboratory works, article critique and group discussions. Hands-on mathematical software and simulation |
Oral examination (viva), Test, assignments, project reports and dissertation. | |
| PO3. Practical Skills (PS) | |||
| Use advanced mathematical and computer tools in conducting research methodologies for multidisciplinary science problems. |
Guided lectures, case studies, paper critique, group discussions and problem solving. Hands- on mathematical software and simulation. |
Tests, assignments, research proposal, academic writing, project reports and oral presentations. | |
| PO4. Interpersonal Skills (IPS) | |||
| Collaborate effectively with different people in the learning and employment communities | Case studies, projects and group discussions | Project reports, group presentation, reflection journal and peer assessment | |
| PO5. Communication Skills (CS) | |||
| Communicate effectively through variety of media and technology in delivering ideas to a diverse audience. | Group discussion and active learning, | Project reports, assignments and group presentation | |
| P06. Digital Skills (DS) | |||
| Competently utilize a wide range of digital technologies to enhance study and work. | Case studies, computer-based learning and directed reading | Assignments, programming and simulation reports | |
| P07. Numeracy Skills (NS) | |||
| Evaluate numerical and graphical data using advanced mathematical software. | Case studies, Computer-based learning and directed reading | Assignments, programming and simulation reports | |
| P08. Leadership, Autonomy and Responsibility (LAR) | |||
| Demonstrate leadership, autonomy and responsibility in managing projects. | Lecture, Active Learning, Group projects and presentations | Project or assignment reports, research proposal and dissertation, activity reports, and learning portfolios. | |
| P09. Personal Skills -PRS |
|||
| Demonstrate self-advancement through good character, enthusiasm for independent and continuous learning, and professional development. | Lectures, group works, case studies | Project reports, group presentations | |
| P10. Entrepreneurial Skills-ENT |
|||
| Initiate entrepreneurial project related to mathematical sciences | Lecture, Group discussion | ||
| P11. Ethics and Professional Skills – ETS |
|||
| Demonstrate adherence to legal and professional ethics in dealing with any relevant issue. | Brainstorming, discussion and case studies. | ||
| No. | Classification | Credit Hours | Percentage |
| i. |
University
|
3
|
7.1 |
| ii. | Faculty Core | 0 | 0 |
| iii. | Core Courses | 12 | 28.6 |
| iv. | Electives Courses | 6 | 14.3 |
| v | Research and Dissertation | 21 | 50 |
Total |
42 | 100 |
This is a 3-semester full-time course comprising a total of 42 credits that include 3 mathematics core subjects (12 credits), 2 elective mathematics subjects (6 credits), Research Methodology (3 credits), university subject (3 credits) and Dissertation (21 credits). Specialised topics for the dissertation can be selected from any of the five areas of research in the mathematical sciences, described in the M.Sc and Ph.D by Research programmes. Typical distribution of subjects beginning in Semester 1, are as follows:
Semester 1
| Subject Code | Subjects | Credit |
| MSCM1023 | Advanced Mathematical Methods I | 3 |
| MSCM1303 | Research Methodology | 3 |
| MSCM1XY3 | Elective mathematics subject | 3 |
| Uxxx 6XY3 | University compulsory subject | 3 |
| Total credits | 12 |
Semester 2
| Subject Code | Subjects | Credit |
| MSCM1053 | Computational Mathematics | 3 |
| MSCM1233 | Mathematical Analysis | 3 |
|
MSCM1033 MSCM1XY3
|
Research Proposal Elective mathematics subject
|
3 3
|
| Total credits | 12 |
Semester 3
| Subject Code | Subjects | Credit |
| MSCMXYZ0 | Dissertation | 18 |
| Total credits | 18 |
X – year of study ;
Y – 1st or 2nd semester;
Z – 8 if full time;
Elective subjects
| Subject Code | Subjects | Credits |
| MSCM 1113 | Advanced Engineering Mathematics | 3 |
| MSCM 1123 | Theoretical Mechanics | 3 |
| MSCJ 1733 | Solitons & Nonlinear Waves | 3 |
| MSCM 1143 | Fluid Mechanics and Heat Transfer | 3 |
| MSCM 1153 | Applied and Computational Complex Analysis | 3 |
| MSCJ 1543 | Advanced Partial Differential Equations | 3 |
| MSCM 1213 | Group Theory I | 3 |
| MSCM 1223 | Galois Theory | 3 |
| MSCM 1253 | Theory of Matrices | 3 |
| MSCM 1263 | Point Set Topology | 3 |
| MSCM 1273 | Group Theory II | 3 |
| MSCM 1313 | Numerical Ordinary Differential Equations | 3 |
| MSCM 1323 | Finite Difference Methods for Partial Differential Equations | 3 |
| MSCM 1393 | Numerical Linear Algebra | 3 |
| MSCM 1333 | Finite Element Methods | 3 |
| MSCM 1353 | Parallel Computing | 3 |
| MSCM 1363 | Numerical Integral Equation | 3 |
| MSCM 1413 | Advanced Mathematical Statistics | 3 |
| MSCM 1423 | Probability Theory | 3 |
| MSCM 1433 | Stochastic Processes | 3 |
| MSCM 1453 | Generalized Linear Models | 3 |
| MSCM 1483 | Time Series Analysis | 3 |
| MSCM 1493 | Advanced Multivariate Statistical | 3 |
| MSCM 1613 | Advanced Optimization Techniques | 3 |
| MSCM 1623 | Mathematics of Operations Research | 3 |
| MSCM 1633 | Game Theory | 3 |
| MSCM 1643 | Recognized Heuristic Optimization Methods | 3 |
| MSCM 1663 | Supply Chain Modelling | 3 |
Please refer to Appendix C for the synopsis of each subject.
Graduates of the programme can work as mathematics practitioners and researchers or academicians in various institutions/industries.
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