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
12. Entry Requirement	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).
13. Programme Educational Objectives (PEO) 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

Postgraduate Entry Requirements

DOCTOR OF PHILOSOPHY

A Master’s Degree from Universiti Teknologi Malaysia or any other Institutions of higher learning recognised by the Senate; or
Other qualifications equivalent to a Master’s degree and experience in the relevant field recognised by the Senate; or
Candidates who a currently registered in a Master’s Degree programme at Universiti Teknologi Malaysia, and approved by the Graduate Studies Committee of the respective faculty and the Senate.

MASTER’s DEGREE (GENERAL)

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:

PEO 1: Knowledgeable and competent in embedding advanced mathematical approaches in solving engineering and industrial problems
PEO 2: Professionally competent with initiative for career advancement through life-long learning
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
i.	University a. General b. Language c. Research Methodology	3 0 3	14.3 (13.33)
ii.	Faculty Core	0	0
iii.	Programme Core	6	14.3
iv.	Programme Electives	9	21.4
v.	Project 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	3
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	12

** 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	12

Semester 3

Subject Code	Subjects	Credit
MSCJ XYZ0	Dissertation	18
	Total Credits	18

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

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

Total Credits

Total Credits

Total Credits