{"id":111,"date":"2015-10-28T03:10:21","date_gmt":"2015-10-28T03:10:21","guid":{"rendered":"http:\/\/science.utm.my\/pg\/?page_id=111"},"modified":"2024-11-26T04:07:24","modified_gmt":"2024-11-26T04:07:24","slug":"msj","status":"publish","type":"page","link":"https:\/\/science.utm.my\/pg\/msj\/","title":{"rendered":"M.Sc (Engineering Mathematics) – Mixed Mode"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”4.24.0″ link_option_url_new_window=”on” global_colors_info=”{}”][et_pb_row admin_label=”row” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”-60px|449px||auto||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”4.16″ custom_padding=”69px|||||” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” text_font=”Montserrat||||||||” text_text_color=”#000000″ text_font_size=”28px” custom_padding=”36px||8px|||” locked=”off” global_colors_info=”{}”]<\/p>\n

Master of Science in Engineering Mathematics<\/strong><\/span><\/p>\n

<\/strong><\/span><\/h6>\n
MQA\/SWA0309<\/strong><\/span><\/h6>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ _builder_version=”4.16″ custom_padding=”1px|||||” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_tabs active_tab_background_color=”#5A0C1C” active_tab_text_color=”#FFFFFF” _builder_version=”4.27.3″ body_font=”Montserrat||||||||” tab_font=”Montserrat||||||||” hover_enabled=”0″ locked=”off” global_colors_info=”{}” sticky_enabled=”0″][et_pb_tab title=”Master of Science in Engineering Mathematics” _builder_version=”4.27.3″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
1. Awarding Institution<\/td>\nUTM<\/td>\n<\/tr>\n
2. Teaching Institution<\/td>\nUTM<\/td>\n<\/tr>\n
3. Programme Name<\/td>\n\n

Master of Science in<\/p>\n

Engineering Mathematics<\/p>\n<\/td>\n<\/tr>\n

\n

4. Final Award<\/p>\n

 <\/p>\n

5.NEC Code<\/p>\n<\/td>\n

\n

Master of Science in<\/p>\n

Engineering Mathematics<\/p>\n

0540<\/p>\n<\/td>\n<\/tr>\n

6. Programme Code<\/td>\nMSCE2<\/td>\n<\/tr>\n
7. Professional or Statutory Body of Accreditation<\/td>\nMALAYSIAN QUALIFICATIONS AGENCY (MQA)<\/td>\n<\/tr>\n
8. Language(s) of Instruction<\/td>\nEnglish<\/td>\n<\/tr>\n
9. Mode of Study (Conventional, distance learning, etc)<\/td>\nConventional<\/td>\n<\/tr>\n
10. Mode of operation (Franchise, self-govern, etc)<\/td>\nSelf-govern<\/td>\n<\/tr>\n
11. Study Scheme<\/td>\nFull Time<\/td>\n<\/tr>\n
12. Study Duration<\/td>\n\n

\u00a0Minimum: 1\u00bd years<\/p>\n

Maximum: 4 years<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

[\/et_pb_tab][et_pb_tab title=”Entry Requirement” _builder_version=”4.16″ link_option_url=”https:\/\/admission.utm.my\/” link_option_url_new_window=”on” global_colors_info=”{}”]<\/p>\n

1.\u00a0 \u00a0 \u00a0 Bachelor of Science* or Bachelor of Engineering* with CPA\u22653.00 from Universiti Teknologi Malaysia or equivalent.; or<\/p>\n

2.\u00a0 \u00a0 \u00a0 Bachelor of Science* or Bachelor of Engineering* recognized with CPA\u22652.5 from Universiti Teknologi Malaysia or equivalent, and with at least two years of work experience in a related field.<\/p>\n

* Has taken and passed a basic mathematics course namely calculus and\\\\or numerical methods or equivalent<\/p>\n

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).<\/p>\n

[\/et_pb_tab][et_pb_tab title=”Programme Objectives ” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n

\u00a0\u00a0\u00a0 Graduates of the programme should be:<\/p>\n

    \n
  1. PEO 1: Knowledgeable and competent in embedding advanced mathematical approaches in solving engineering and industrial problems<\/li>\n
  2. PEO 2: Professionally competent with initiative for career advancement through life-long learning<\/li>\n
  3. PEO 3: Practice ethical principles within organizational and societal context<\/li>\n<\/ol>\n

    [\/et_pb_tab][et_pb_tab title=”Programme Learning Outcomes (PLO)” _builder_version=”4.24.0″ global_colors_info=”{}”]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Intended Learning Outcomes<\/strong><\/span><\/td>\nTeaching and Learning Methods<\/strong><\/span><\/td>\nAssessment<\/strong><\/span><\/td>\n<\/tr>\n
    <\/td>\n<\/tr>\n
    PO1. Knowledge and Understanding – KW
    <\/strong><\/span><\/td>\n<\/tr>\n
    Synthesize advanced technical knowledge to generate new ideas in engineering mathematics.<\/strong><\/td>\nGuided lectures, computer laboratory works, directed reading, group discussion, problem solving and intellectual discourse<\/td>\nExaminations, tests, quizzes, project reports and assignments.<\/td>\n<\/tr>\n
    PO2.\u00a0 Cognitive Skills – CG
    <\/strong><\/span><\/td>\n<\/tr>\n
    Construct solutions for various problems related to the discipline of engineering mathematics.<\/strong><\/td>\nLectures, mini research, computer laboratory works, article critique and group discussions<\/td>\nHands-on mathematical software and simulation Oral examination(viva), assignments, project reports and dissertation<\/td>\n<\/tr>\n
    <\/td>\n<\/tr>\n
    PO3.\u00a0 Practical Skills – PS
    <\/strong><\/span><\/td>\n<\/tr>\n
    Use advanced mathematical and computer tools in selecting research methodologies for engineering problems<\/strong><\/td>\nGuided lectures, case studies, paper critique, group discussions and problem solving<\/td>\nHands- on mathematical software and simulation Examinations, tests, assignments, research proposal, academic writing, project reports and oral presentations<\/td>\n<\/tr>\n
    PO4.\u00a0 Interpersonal Skills – IPS
    <\/strong><\/span><\/td>\n<\/tr>\n
    Collaborate effectively with different people in learning and working communities.<\/strong><\/td>\nGroup discussion, active learning<\/td>\nProject reports, assignments and group presentation<\/td>\n<\/tr>\n
    P05. Communication Skills – CS
    <\/strong><\/span><\/td>\n<\/tr>\n
    Communicate effectively through variety of media and technology in delivering ideas to a diverse audience<\/strong><\/td>\nCase studies, projects and group discussions<\/td>\nProject reports, group presentation<\/td>\n<\/tr>\n
    P06. Digital Skills – DS
    <\/strong><\/span><\/td>\n<\/tr>\n
    Competently utilize a wide range of digital technologies to enhance study and research<\/strong><\/td>\nBrainstorming, discussion and case studies<\/td>\nAssignments and research project reports.<\/td>\n<\/tr>\n
    P07.\u00a0 Numeracy Skills – NS
    <\/strong><\/span><\/td>\n<\/tr>\n
    Evaluate numerical and graphical engineering data using advanced mathematical software<\/strong><\/td>\nCase studies, computer-based learning and directed reading<\/td>\nAssignments, programming and simulation reports<\/td>\n<\/tr>\n
    P08. Leadership, Autonomy and Responsibility – LAR
    <\/strong><\/span><\/td>\n<\/tr>\n
    Demonstrate leadership, autonomy and responsibility in managing projects<\/strong><\/td>\nLecture, Active Learning
    and Group discussion<\/td>\n    		Project reports, assignments and group presentation<\/td>\n<\/tr>\n
    P09. Personal Skills – PRS
    <\/strong><\/span><\/td>\n<\/tr>\n
    Demonstrate self-advancement through good character, enthusiasm for independent and continuous learning, and professional development<\/strong><\/td>\nLecture, Active Learning, Group projects and presentations<\/td>\nProject reports, assignments and group presentation<\/td>\n<\/tr>\n
    P10. Entrepreneurial Skills – ENT
    <\/strong><\/span><\/td>\n<\/tr>\n
    Initiate entrepreneurial projects related to engineering mathematics<\/strong><\/td>\nLecture, Active Learning<\/td>\nProject reports, assignments and group presentation<\/td>\n<\/tr>\n
    P11. Ethics and Professional Skills – ETS
    <\/strong><\/span><\/td>\n<\/tr>\n
    Demonstrate adherence to legal and professional ethics in dealing with any relevant issue<\/strong><\/td>\nLecture, Active Learning, Group discussion and case study<\/td>\nProject reports, assignments and group presentation<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

     <\/p>\n

    [\/et_pb_tab][et_pb_tab title=”Classification of Subjects” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n\n\n\n\n\n\n\n\n\n
    No.<\/strong><\/span><\/td>\nClassification<\/strong><\/span><\/td>\nCredit Hours<\/strong><\/span><\/td>\nPercentage<\/strong><\/span><\/td>\n<\/tr>\n
    \n

    i.<\/span><\/p>\n<\/td>\n

    		University
    a.\u00a0General<\/span>
    b. Language<\/span>
    c.\u00a0Research Methodology<\/span><\/td>\n    		\n

     <\/p>\n

    3<\/span>
    0<\/span>
    3<\/span><\/p>\n<\/td>\n

    		\n

    14.3 (13.33)<\/span><\/p>\n<\/td>\n<\/tr>\n

    ii.<\/span><\/td>\nFaculty Core<\/span><\/td>\n0<\/span><\/td>\n0<\/span><\/td>\n<\/tr>\n
    iii.<\/span><\/td>\nProgramme Core<\/span><\/td>\n6<\/span><\/td>\n14.3<\/span><\/td>\n<\/tr>\n
    iv.<\/span><\/td>\nProgramme Electives<\/span><\/td>\n9<\/span><\/td>\n21.4<\/span><\/td>\n<\/tr>\n
    v.<\/span><\/td>\nResearch Proposal Dissertation<\/span><\/td>\n21<\/span><\/td>\n50.0<\/span><\/td>\n<\/tr>\n
    <\/td>\nTotal<\/span><\/strong><\/td>\n42<\/span><\/td>\n100<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [\/et_pb_tab][et_pb_tab title=”Programme Structure” _builder_version=”4.24.0″ global_colors_info=”{}”]<\/p>\n

    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:<\/span><\/p>\n

     <\/p>\n

    Semester 1<\/strong><\/span><\/p>\n\n\n\n\n\n\n\n\n
    Subject Code<\/strong><\/span><\/td>\nSubjects<\/strong><\/span><\/td>\nCredit<\/strong><\/span><\/td>\n<\/tr>\n
    MSCJ1303<\/span><\/td>\nResearch Methodology
    <\/span><\/td>\n    		3<\/span><\/td>\n<\/tr>\n
    MSCJ1523<\/span><\/td>\nMethods of Engineering Mathematics<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    ULAJ 6013\/ Uxxx 6xx3<\/span><\/td>\nJapanese Language\/ University General Courses<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    Mxxx XYZ3<\/span><\/td>\nElective Course (Mathematics\/ Engineering\/Data Science)<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    \u00a0<\/strong><\/span><\/td>\n\n

    Total Credits<\/strong><\/span><\/h3>\n<\/td>\n

    		12<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    ** University compulsory subject<\/span><\/p>\n

     <\/p>\n

    Semester 2<\/strong><\/span><\/p>\n\n\n\n\n\n\n\n\n
    Subject Code<\/strong><\/span><\/td>\nSubjects<\/strong><\/span><\/td>\nCredit<\/strong><\/span><\/td>\n<\/tr>\n
    MSCJ 1543<\/td>\nAdvanced Partial Differential Equations<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MSCJ 1280<\/span><\/td>\nResearch Proposal<\/span><\/td>\n3<\/span><\/span><\/td>\n<\/tr>\n
    MSCJ1533<\/span><\/td>\nNumerical Methods in Engineering<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    Mxxx XYZ3<\/span><\/td>\nElective Course (Mathematics\/ Engineering\/Data Science)<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    \u00a0<\/span><\/td>\n\n

    Total Credits<\/span><\/h3>\n<\/td>\n

    		12<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u00a0<\/strong><\/span><\/p>\n

    Semester 3<\/strong><\/span><\/p>\n\n\n\n\n\n
    Subject Code<\/strong><\/span><\/td>\nSubjects<\/strong><\/span><\/td>\nCredit<\/strong><\/span><\/td>\n<\/tr>\n
    MSCJ XYZ0<\/span><\/td>\nDissertation<\/span><\/td>\n18<\/span><\/td>\n<\/tr>\n
    \u00a0<\/span><\/td>\n\n

    Total Credits<\/span><\/h3>\n<\/td>\n

    		18<\/strong><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    X \u2013 year of study ;
    Y \u2013 1st<\/sup>\u00a0or 2nd<\/sup>\u00a0semester;
    Z \u2013 8 if full time, 9 if part time;<\/span><\/p>\n

    \u00a0<\/strong><\/span><\/p>\n

    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.<\/span><\/p>\n

     <\/p>\n

    Core Subjects<\/strong><\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n
    Course Code<\/strong><\/span><\/td>\nSubjects<\/strong><\/span><\/td>\nCredits<\/strong><\/span><\/td>\n<\/tr>\n
    ULAJ 6013**<\/span><\/td>\nJapanese Language<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MSCJ 1523<\/span><\/td>\nMethods of Engineering Mathematics<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MSCJ 1533<\/span><\/td>\nNumerical Methods in Engineering<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MSCJ 1543
    <\/span><\/td>\n    		Advanced Partial Differential Equations<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MSCJ 1303<\/span><\/td>\nResearch Methodology<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MSCJ1280<\/span><\/td>\nResearch Proposal<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MSCJ XY80 \/
    <\/span>MSCJ XY90<\/span><\/td>\n    		Dissertation<\/span><\/td>\n18<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    ** or any University General Courses<\/span><\/p>\n

    \u00a0<\/strong><\/span><\/p>\n

    Elective Subjects<\/strong><\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Course Code<\/strong><\/span><\/td>\nSubjects<\/strong><\/span><\/td>\nCredits<\/strong><\/span><\/td>\n<\/tr>\n
    Mathematics Electives<\/strong><\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
    MSCJ 1763<\/td>\nModeling of Dynamical Systems<\/td>\n3<\/span><\/td>\n<\/tr>\n
    MSCM 1143<\/td>\nFluids Mechanics and Heat Transfer<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MSCJ 1733<\/td>\nSoliton and Nonlinear Waves<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MSCJ 1773<\/td>\nGeneralized Linear Models with Engineering Applications<\/td>\n3<\/span><\/td>\n<\/tr>\n
    Civil Engineering Electives<\/strong><\/span><\/td>\n\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
    MKAB 9073<\/span><\/td>\nEnvironmental Modelling<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKAE 1133<\/span><\/td>\nWater Pollution Control<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKAG1043<\/span><\/td>\nGeotechnical Modeling<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKAH 1243<\/span><\/td>\nGroundwater Hydrology<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKAH 1313<\/span><\/td>\nComputational Fluid Mechanics<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKAS 1163<\/span><\/td>\nTheory of Plate and Shell<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    Electrical Engineering Electives<\/strong><\/span><\/td>\n\u00a0<\/strong><\/span><\/td>\n<\/td>\n<\/tr>\n
    MKEM 1773<\/span><\/td>\nMultivariable and Optimal Control Systems<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKEM 1833<\/span><\/td>\nLinear System Theory<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKEM 1853<\/span><\/td>\nDiscrete Time and Computer Control Systems<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKEL 1223<\/span><\/td>\nRandom Process<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKEL 1233<\/span><\/td>\nImage Processing<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    Mechanical Engineering Electives<\/strong><\/span><\/td>\n\u00a0<\/strong><\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
    MMP 1603<\/span><\/td>\nCAD\/CAM<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKMM 1153<\/span><\/td>\nComputational Methods in Solid Mechanics<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKMM 1183<\/span><\/td>\nTheories of Elasticity and Plasticity<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    MKMM 1543<\/span><\/td>\nCAD and its Applications<\/span><\/td>\n3<\/span><\/td>\n<\/tr>\n
    \n

    Data Science <\/strong><\/span><\/p>\n

    Electives<\/strong><\/span><\/p>\n<\/td>\n

    		\u00a0<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
    \u00a0<\/strong><\/span><\/td>\nBusiness Intelligence and Analytics<\/td>\n3<\/span><\/td>\n<\/tr>\n
    \u00a0<\/strong><\/span><\/td>\nBig Data Management<\/td>\n3<\/span><\/td>\n<\/tr>\n
    \u00a0<\/strong><\/span><\/td>\nAdvanced Analytics for Data Science<\/td>\n3<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

     <\/p>\n

    Please refer to Appendix D for the synopsis of each subject.<\/span><\/p>\n

    [\/et_pb_tab][et_pb_tab title=”Career Prospects” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n

    Graduates of the programme can work as applied mathematicians or engineers in various institutions\/industries, and as academicians at tertiary institutions.<\/span><\/p>\n

    [\/et_pb_tab][et_pb_tab title=”Mapping (Course vs PLO)” _builder_version=”4.24.2″ _module_preset=”default” global_colors_info=”{}”][iframe src=”https:\/\/science.utm.my\/pg\/wp-content\/uploads\/sites\/120\/2024\/03\/Mapping-MSCE2.pdf” height=”1000″ width=”1800″][\/et_pb_tab][et_pb_tab title=”MQA certificate” _builder_version=”4.27.3″ _module_preset=”default” link_option_url=”https:\/\/science.utm.my\/pg\/wp-content\/uploads\/sites\/120\/2024\/11\/SKM_C287i24052116131-FS-Sijil-Perakuan-MQASWA0309-Sarjana-Sains-Matematik-Kejuruteraan.pdf” link_option_url_new_window=”on” hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n

    MQA certificate<\/span><\/p>\n

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