Programme Name: Master of Science in Engineering Mathematics

1. Awarding Institution UTM
2. Teaching Institution UTM
3. Programme Name

Master of Science in

Engineering Mathematics

4. Final Award

Master of Science in

Engineering Mathematics

5. Programme Code MSCE2
6. Professional or Statutory Body of Accreditation

Malaysian Ministry of Higher Education

Kementerian Pengajian Tinggi Malaysia

7. Language(s) of Instruction English
8. Mode of Study (Conventional, distance learning, etc) Conventional
9. Mode of operation (Franchise, self-govern, etc) Self-govern
10. Study Scheme Full Time
11. Study Duration

 Minimum: 1½ years

Maximum: 4 years




1.      Bachelor of Science* or Bachelor of Engineering* with CPA≥3.00 from Universiti Teknologi Malaysia or equivalent.; or

2.      Bachelor of Science* or Bachelor of Engineering* recognized with CPA≥2.5 from Universiti Teknologi Malaysia or equivalent, and with at least two years of work experience in a related field.

* Has taken and passed a basic mathematics course namely calculus and\\or numerical methods or equivalent

Persons with disabilities (PWDs) are accepted into this program (including color blind)
Candidates with an APEL T-7 certificate can be considered for admission purposes (subject to faculty approval).

    Graduates of the programme should be:

  1. PEO 1: Knowledgeable and competent in embedding advanced mathematical approaches in solving engineering and industrial problems
  2. PEO 2: Professionally competent with initiative for career advancement through life-long learning
  3. PEO 3: Practice 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 engineering mathematics. Guided lectures, computer laboratory works, directed reading, group discussion, problem solving and intellectual discourse Examinations, tests, quizzes, project reports and assignments.
PO2.  Cognitive Skills – CG
Construct solutions for various problems related to the discipline of engineering mathematics. Lectures, mini research, computer laboratory works, article critique and group discussions Hands-on mathematical software and simulation Oral examination(viva), assignments, project reports and dissertation
PO3.  Practical Skills – PS
Use advanced mathematical and computer tools in selecting research methodologies for engineering problems Guided lectures, case studies, paper critique, group discussions and problem solving Hands- on mathematical software and simulation Examinations, tests, assignments, research proposal, academic writing, project reports and oral presentations
PO4.  Interpersonal Skills – IPS
Collaborate effectively with different people in learning and working communities. Group discussion, active learning Project reports, assignments and group presentation
P05. Communication Skills – CS
Communicate effectively through variety of media and technology in delivering ideas to a diverse audience Case studies, projects and group discussions Project reports, group presentation
P06. Digital Skills – DS
Competently utilize a wide range of digital technologies to enhance study and research Brainstorming, discussion and case studies Assignments and research project reports.
P07.  Numeracy Skills – NS
Evaluate numerical and graphical engineering 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
and Group discussion
Project reports, assignments and group presentation
P09. Personal Skills – PRS
Demonstrate self-advancement through good character, enthusiasm for independent and continuous learning, and professional development Lecture, Active Learning, Group projects and presentations Project reports, assignments and group presentation
P10. Entrepreneurial Skills – ENT
Initiate entrepreneurial projects related to engineering mathematics Lecture, Active Learning Project reports, assignments and group presentation
P11. Ethics and Professional Skills – ETS
Demonstrate adherence to legal and professional ethics in dealing with any relevant issue Lecture, Active Learning, Group discussion and case study Project reports, assignments and group presentation


No. Classification Credit Hours Percentage


a. General

b. Language
c. Research Methodology



14.3 (13.33)

ii. Faculty Core 0 0
iii. Programme Core 6 14.3
iv. Programme Electives 9 21.4
v. Research Proposal Dissertation 21 50.0
Total 42 100

This is a 3-semester full-time course, which comprises 42 credits that include 3 mathematics core subjects (9 credits), mathematics/engineering/data science subjects (6 credits, at least one engineering/data science), 1 University subject (3 credits) and Dissertation (21 credits). Typical distribution of subjects beginning in Semester 1 are as follows:


Semester 1

Subject Code Subjects Credit
MSCJ1303 Research Methodology
MSCJ1523 Methods of Engineering Mathematics 3
ULAJ 6013/ Uxxx 6xx3 Japanese Language/ University General Courses 3
Mxxx XYZ3 Elective Course (Mathematics/ Engineering/Data Science) 3

Total Credits


** University compulsory subject


Semester 2

Subject Code Subjects Credit
MSCJ 1543 Advanced Partial Differential Equations 3
MSCJ 1280 Research Proposal 3
MSCJ1533 Numerical Methods in Engineering 3
Mxxx XYZ3 Elective Course (Mathematics/ Engineering/Data Science) 3

Total Credits



Semester 3

Subject Code Subjects Credit
MSCJ XYZ0 Dissertation 18

Total Credits


X – year of study ;
Y – 1st or 2nd semester;
Z – 8 if full time, 9 if part time;


The course is offered in full-time mode and based on a 3 Semester Academic Year with several subjects being delivered and assessed in each semester. Assessment: Based on final examination, coursework and dissertation. Co-supervisor in dissertation should involve staff academic from engineering or data science department/school.


Core Subjects

Course Code Subjects Credits
ULAJ 6013** Japanese Language 3
MSCJ 1523 Methods of Engineering Mathematics 3
MSCJ 1533 Numerical Methods in Engineering 3
MSCJ 1543
Advanced Partial Differential Equations 3
MSCJ 1303 Research Methodology 3
MSCJ1280 Research Proposal 3
Dissertation 18

** or any University General Courses


Elective Subjects

Course Code Subjects Credits
Mathematics Electives    
MSCJ 1763 Modeling of Dynamical Systems 3
MSCM 1143 Fluids Mechanics and Heat Transfer 3
MSCJ 1733 Soliton and Nonlinear Waves 3
MSCJ 1773 Generalized Linear Models with Engineering Applications 3
Civil Engineering Electives    
MKAB 9073 Environmental Modelling 3
MKAE 1133 Water Pollution Control 3
MKAG1043 Geotechnical Modeling 3
MKAH 1243 Groundwater Hydrology 3
MKAH 1313 Computational Fluid Mechanics 3
MKAS 1163 Theory of Plate and Shell 3
Electrical Engineering Electives  
MKEM 1773 Multivariable and Optimal Control Systems 3
MKEM 1833 Linear System Theory 3
MKEM 1853 Discrete Time and Computer Control Systems 3
MKEL 1223 Random Process 3
MKEL 1233 Image Processing 3
Mechanical Engineering Electives    
MMP 1603 CAD/CAM 3
MKMM 1153 Computational Methods in Solid Mechanics 3
MKMM 1183 Theories of Elasticity and Plasticity 3
MKMM 1543 CAD and its Applications 3

Data Science


  Business Intelligence and Analytics 3
  Big Data Management 3
  Advanced Analytics for Data Science 3


Please refer to Appendix D for the synopsis of each subject.

Graduates of the programme can work as applied mathematicians or engineers in various institutions/industries, and as academicians at tertiary institutions.

Find a Supervisor

Our academic staff are committed to delivering a student experience that is second to none. Visit the departments at the Faculty of Science for further information on our expert academic staff. (Our Researchers)

Programme Fees
Financial Assistance & Scholarship
Other Programmes
Postgraduate Studies, Faculty of Science