{"id":4560,"date":"2023-05-30T13:28:57","date_gmt":"2023-05-30T05:28:57","guid":{"rendered":"https:\/\/www.nus.edu.sg\/nusbulletin\/ay202324\/?page_id=4560"},"modified":"2023-05-30T13:34:06","modified_gmt":"2023-05-30T05:34:06","slug":"master-of-science-environmental-management","status":"publish","type":"page","link":"https:\/\/www.nus.edu.sg\/nusbulletin\/ay202324\/programmes\/school-of-continuing-lifelong-education\/graduate-education\/coursework-programmes\/master-of-science-environmental-management\/","title":{"rendered":"Master of Science (Environmental Management)"},"content":{"rendered":"\r\n<h2>School of Continuing &amp; Lifelong Education<\/h2>\r\n<h3>Master of Science (Industry 4.0)<\/h3>\r\n<p><a id=\"fl-accordion--label-0\" tabindex=\"0\" href=\"#\" aria-controls=\"fl-accordion--panel-0\">Overview<\/a> <a id=\"fl-accordion--icon-0\" tabindex=\"0\" href=\"#\" aria-controls=\"fl-accordion--panel-0\"><i>Expand<\/i><\/a><\/p>\r\n<p>The MSc (Industry 4.0) is an inter-disciplinary programme offered in collaboration with the Faculty of Engineering, Faculty of Science, School of Computing, Institute of Systems Science, NUS Business School and School of Continuing and Lifelong Education.<\/p>\r\n<p>The MSc (Industry 4.0) programme will enable student to attain, by the time of graduation:<\/p>\r\n<ul>\r\n<li>Breadth in ability to understand technology core concepts from a management viewpoint, including key emerging technology and business areas<\/li>\r\n<li>Understanding of key business and processes, including supply chain management, systems design and change management<\/li>\r\n<li>Ability to use both breadth and depth to be more effective functional specialists, or to move up management ranks<\/li>\r\n<li>Ability to drive change and transformation projects in a company, through technical understanding, understanding of business processes, and effective leadership<\/li>\r\n<\/ul>\r\n<p><a id=\"fl-accordion--label-1\" tabindex=\"0\" href=\"#\" aria-controls=\"fl-accordion--panel-1\">Period of Candidature<\/a> <a id=\"fl-accordion--icon-1\" tabindex=\"0\" href=\"#\" aria-controls=\"fl-accordion--panel-1\"><i>Expand<\/i><\/a><\/p>\r\n<p>Both full-time and part-time studies are offered. The period of candidature are as follows:<\/p>\r\n<ul>\r\n<li>Full-time studies can be completed in 12-18 months. The maximum candidature is 24 months.<\/li>\r\n<li>Part-time studies can be completed in 18-36 months. The maximum candidature is 36 months.<\/li>\r\n<\/ul>\r\n<p><a id=\"fl-accordion--label-2\" tabindex=\"0\" href=\"#\" aria-controls=\"fl-accordion--panel-2\">Degree Requirements <\/a> <a id=\"fl-accordion--icon-2\" tabindex=\"0\" href=\"#\" aria-controls=\"fl-accordion--panel-2\"><i>Expand<\/i><\/a><\/p>\r\n<p>Candidates must satisfy the following requirements to be conferred the degree of MSc (Industry 4.0):<\/p>\r\n<ul>\r\n<li>Complete a minimum of 40 MCs with 20 MCs in essential core modules and 20 MCs in graduate certificates and elective modules;<\/li>\r\n<li>Complete and pass the programme requirement of at least one Graduate Certificate listed under &#8220;List of Modules&#8221; below;<\/li>\r\n<li>Obtain a minimum CAP of 3.00; and<\/li>\r\n<li>Satisfy any other additional requirements that may be prescribed by the Programme Management Committee for MSc (Industry 4.0), or the University.<\/li>\r\n<\/ul>\r\n<p><a id=\"fl-accordion--label-3\" tabindex=\"0\" href=\"#\" aria-controls=\"fl-accordion--panel-3\">List of Modules <\/a> <a id=\"fl-accordion--icon-3\" tabindex=\"0\" href=\"#\" aria-controls=\"fl-accordion--panel-3\"><i>Expand<\/i><\/a><\/p>\r\n<p>Modules are generally 4 MCs, except when otherwise stated.<\/p>\r\n<ol>\r\n<li><strong><em>Essential Core Modules (20MCs)<\/em><\/strong>\r\n<ul>\r\n<li>IND5001 Introduction to Industry 4.0 and Applications<\/li>\r\n<li>IND5002 Digital Physical Integration in Industry 4.0<\/li>\r\n<li>IND5003 Data Analytics for Sense-making<\/li>\r\n<li>IND5004 Digital Infrastructure and Transformation<\/li>\r\n<li>IND5005A Professional Career Development (0.5MC)<\/li>\r\n<li>IND5005 (4MC) \/ IND5005B (3.5MC) Industry Consulting and Application Project<\/li>\r\n<\/ul>\r\n<\/li>\r\n<li><strong><em>Graduate Certificates &amp; Elective Modules:<br \/><\/em><\/strong>All required electives must be completed for the award of the graduate certificate that will be issued by the respective faculties. In addition to the graduate certificate, candidates may select any elective offered to meet the 40-MC graduation requirement.<\/li>\r\n<\/ol>\r\n<table width=\"98%\">\r\n<thead>\r\n<tr>\r\n<td width=\"15%\"><strong>Faculty<\/strong><\/td>\r\n<td width=\"70%\"><strong>Module Title<\/strong><\/td>\r\n<td width=\"13%\"><strong>MCs<\/strong><\/td>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td rowspan=\"6\" width=\"15%\"><strong>FoE<\/strong><br \/><strong><br \/><\/strong><strong><br \/><\/strong><\/td>\r\n<td width=\"70%\"><strong>Graduate Certificate in Additive Manufacturing (Choose 6 modules)<\/strong><\/td>\r\n<td width=\"13%\"><strong>12<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\">ME5608A Principles and Processes of Additive Manufacturing\r\n<p>ME5608B Hybrid Manufacturing<\/p>\r\n<p>ME5615A Design and Pre-processing for Additive Manufacturing<\/p>\r\n<p>ME5615B Post-processing for Additive Manufacturing<\/p>\r\n<p>ME5614A Special Project in Additive Manufacturing<\/p>\r\n<p>ME5513A Fatigue Analysis for Additive Manufacturing<\/p>\r\n<p>MLE5301 Metallic &amp; Ceramic Materials in Additive Manufacturing<\/p>\r\nMLE5302 Polymer Materials in Additive Manufacturing<\/td>\r\n<td width=\"13%\">2\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n2<\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\"><strong>Graduate Certificate in Internet of Things (Choose 5 modules)<\/strong><\/td>\r\n<td width=\"13%\"><strong>10<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\">EE5020 Data Science for Internet of Things\r\n<p>EE5021 Cloud Based Services for Internet of Things<\/p>\r\n<p>EE5022 Cyber Security for Internet of Things<\/p>\r\n<p>EE5023 Wireless Networks<\/p>\r\n<p>EE5024 Sensor Networks<\/p>\r\n<p>EE5060 Sensors and Instrumentation for Automation<\/p>\r\n<p>EE5061 Industrial Control and IEC Programming<\/p>\r\n<p>EE5027 Statistical Pattern Recognition<\/p>\r\n<p>EE5026 Machine Learning for Data Analytics<\/p>\r\nEE5025 Intellectual Property: Innovations in IoT<\/td>\r\n<td width=\"13%\">2\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n2<\/td>\r\n<\/tr>\r\n<tr>\r\n<td><strong>Graduate Certificate in Robotics and Automation (Choose 5 modules)<\/strong><\/td>\r\n<td><strong>10<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>EE5060 Sensors and Instrumentation for Automation\r\n<p>EE5061 Industrial Control and IEC Programming<\/p>\r\n<p>EE5062 Autonomous Systems<\/p>\r\n<p>EE5063 Modelling of Mechatronic Systems<\/p>\r\n<p>EE5064 Dynamics and Control of Robotic Manipulators<\/p>\r\n<p>EE5065 Tenets of AI in Robotics<\/p>\r\n<p>ME5405A Machine Vision Fundamentals<\/p>\r\n<p>ME5408 Kinematics of Robot Manipulators<\/p>\r\nME5607 Smart Factories<\/td>\r\n<td>2\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n<p>2<\/p>\r\n2<\/td>\r\n<\/tr>\r\n<tr>\r\n<td rowspan=\"6\" width=\"15%\"><strong>FoS<\/strong><\/td>\r\n<td width=\"70%\"><strong>Graduate Certificate in Data Mining and Interpretation<\/strong><\/td>\r\n<td width=\"13%\"><strong>8<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\">ST5227 Applied Data Mining DSA5203 Visual Data Processing and Interpretation<\/td>\r\n<td width=\"13%\">4 4<\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\"><strong>Graduate Certificate in Deep Learning for Industry<\/strong><\/td>\r\n<td width=\"13%\"><strong>8<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\">DSA5102 Foundations of Machine Learning DSA5204 Deep Learning and Applications<\/td>\r\n<td width=\"13%\">4 4<\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\"><strong>Graduate Certificate in Quality Assurance and Yield Optimization (Choose 2 modules)<\/strong><\/td>\r\n<td width=\"13%\"><strong>8<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\">ST5203 Design of Experiments for Product Design and Process Improvements\r\n<p>ST5208 Analytics for Quality Control and Productivity Improvements<\/p>\r\n<p>ST5212 Survival Analysis<\/p>\r\nST5210 Multivariate Data Analysis<\/td>\r\n<td width=\"13%\">4\r\n<p>4<\/p>\r\n<p>4<\/p>\r\n4<\/td>\r\n<\/tr>\r\n<tr>\r\n<td rowspan=\"2\" width=\"15%\"><strong>BIZ<\/strong><\/td>\r\n<td width=\"70%\"><strong>Graduate Certificate in Digital Supply Chain<\/strong><\/td>\r\n<td width=\"13%\"><strong>12<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\">IND5021 Managing the Digital Supply Chain\r\n<p>IND5022 Data Analytics for Smart Manufacturing<\/p>\r\n<p>DOS5101A Managing the Financial Supply Chain<\/p>\r\nIND5024 Strategic Procurement in a Digital World<\/td>\r\n<td width=\"13%\">4\r\n<p>4<\/p>\r\n<p>2<\/p>\r\n2<\/td>\r\n<\/tr>\r\n<tr>\r\n<td rowspan=\"4\" width=\"15%\"><strong>SoC<\/strong><\/td>\r\n<td width=\"70%\"><strong>Graduate Certificate in Principles and Practice of Secure Systems (Choose 3 modules)<\/strong><\/td>\r\n<td width=\"13%\"><strong>12<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\">CS5322 Database Security\r\n<p>CS5332 Biometric Authentication<\/p>\r\n<p>CS5331 Web Security<\/p>\r\n<p>CS5321 Network Security<\/p>\r\nCS5439 Software Security<\/td>\r\n<td width=\"13%\">4\r\n<p>4<\/p>\r\n<p>4<\/p>\r\n<p>4<\/p>\r\n4<\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\"><strong>Graduate Certificate in Digital Business (Choose 3 modules)<\/strong><\/td>\r\n<td width=\"13%\"><strong>12<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"70%\">IS5007 Strategising for Global IT-enabled Business Success\r\n<p>IS5116 Digital Entrepreneurship<\/p>\r\n<p>IS5117 Digital Government<\/p>\r\nIS5151 Information System Security Policy and Management<\/td>\r\n<td width=\"13%\">4\r\n<p>4<\/p>\r\n<p>4<\/p>\r\n4<\/td>\r\n<\/tr>\r\n<tr>\r\n<td rowspan=\"2\"><strong>ISS<\/strong><br \/><strong><br \/><\/strong><\/td>\r\n<td><strong>Graduate Certificate in ISY5002 Pattern Recognition Systems<\/strong><\/td>\r\n<td><strong>13<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><strong>Graduate Certificate in ISY5004 Intelligent Sensing Systems<\/strong><\/td>\r\n<td><strong>10<\/strong><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<p><a id=\"fl-accordion--label-4\" tabindex=\"0\" href=\"#\" aria-controls=\"fl-accordion--panel-4\">Study Schedule <\/a> <a id=\"fl-accordion--icon-4\" tabindex=\"0\" href=\"#\" aria-controls=\"fl-accordion--panel-4\"><i>Expand<\/i><\/a><\/p>\r\n<p>One intake is admitted every year to start in Semester 1 (i.e. August) of the academic year. The recommended study schedule for full-time and part-time studies are illustrated as below.<\/p>\r\n<table width=\"100%\">\r\n<thead>\r\n<tr>\r\n<td colspan=\"2\" width=\"100%\"><strong>Full-time Study Schedule for AY2019\/20 intake<\/strong><\/td>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td width=\"30%\">1<sup>st<\/sup>\u00a0Year of studies, Sem 1:<\/td>\r\n<td width=\"70%\"><u>Core Modules (12 MCs)<\/u><br \/>Preallocated three 4-MC modules <u>Elective Modules (8 MCs<\/u>)<br \/>Select from 2-MC and 4-MC modules<\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"30%\">1<sup>st<\/sup>\u00a0Year of studies, Sem 2:<\/td>\r\n<td width=\"70%\"><u>Core Modules (8 MCs)<\/u><br \/>Preallocated one 4-MC and Capstone modules <u>Elective Modules (12 MCs)<\/u><br \/>Select from 2-MC and 4-MC modules<\/td>\r\n<\/tr>\r\n<tr>\r\n<td colspan=\"2\" width=\"30%\"><strong>Part-time Study Schedule for AY2019\/20 intake<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"30%\">1<sup>st<\/sup>\u00a0Year of studies, Sem 1:<\/td>\r\n<td width=\"70%\"><u>Core Modules (12 MCs)<\/u><br \/>Preallocated three 4-MC modules<\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"30%\">1<sup>st<\/sup>\u00a0Year of studies, Sem 2:<\/td>\r\n<td width=\"70%\"><u>Core Modules (4 MCs)<\/u><br \/>Preallocated one 4-MC module <u>Elective Modules (8 MCs)<\/u><br \/>Select from 2-MC and 4-MC modules<\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"30%\">1<sup>st<\/sup> Year of studies, Special Term Part 1 or 2<sup>nd<\/sup> Year of studies, Sem 1:<\/td>\r\n<td width=\"70%\"><u>Core Modules (4 MCs)<\/u><br \/>Preallocated Capstone module<\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"30%\">2<sup>nd<\/sup>\u00a0Year of studies, Sem 1:<\/td>\r\n<td width=\"70%\"><u>Elective Modules (4 MCs)<\/u><br \/>Select from 2-MC and 4-MC modules<\/td>\r\n<\/tr>\r\n<tr>\r\n<td width=\"30%\">2<sup>nd<\/sup>\u00a0Year of studies, Sem 2:<\/td>\r\n<td width=\"70%\"><u>Elective Modules (8 MCs)<\/u><br \/>Select from 2-MC and 4-MC modules<\/td>\r\n<\/tr>\r\n<tr>\r\n<td colspan=\"2\"><strong>Full-time Study Schedule for AY2020\/21 intake onwards<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>1<sup>st<\/sup>\u00a0Year of studies, Sem 1:<\/td>\r\n<td><u>Core Modules (12.5 MCs)<\/u><br \/>Preallocated three 4-MC and one 0.5-MC modules <u>Elective Modules (8 MCs<\/u>)<br \/>Select from 2-MC and 4-MC modules<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>1<sup>st<\/sup> Year of studies, Sem 2:<\/td>\r\n<td><u>Core Modules (7.5 MCs)<\/u><br \/>Preallocated one 4-MC and Capstone modules <u>Elective Modules (12 MCs)<\/u><br \/>Select from 2-MC and 4-MC modules<\/td>\r\n<\/tr>\r\n<tr>\r\n<td colspan=\"2\"><strong>Part-time Study Schedule for AY2020\/21 intake onwards<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>1<sup>st<\/sup> Year of studies, Sem 1:<\/td>\r\n<td><u>Core Modules (3.5 MCs)<\/u><br \/>Preallocated three 4-MC and one 0.5-MC modules<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>1<sup>st<\/sup> Year of studies, Sem 2:<\/td>\r\n<td><u>Core Modules (4 MCs)<\/u><br \/>Preallocated one 4-MC module <u>Elective Modules (8 MCs)<\/u><br \/>Select from 2-MC and 4-MC modules<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>1<sup>st<\/sup> Year of studies, Special Term Part 1 or 2<sup>nd<\/sup> Year of studies, Sem 1:<\/td>\r\n<td><u>Core Modules (3.5 MCs)<\/u><br \/>Preallocated Capstone module<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<sup>nd<\/sup>\u00a0Year of studies, Sem 1:<\/td>\r\n<td><u>Elective Modules (4 MCs)<\/u><br \/>Select from 2-MC and 4-MC modules<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<sup>nd<\/sup> Year of studies, Sem 2:<\/td>\r\n<td><u>Elective Modules (8 MCs)<\/u><br \/>Select from 2-MC and 4-MC modules<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n","protected":false},"excerpt":{"rendered":"<p>School of Continuing &amp; Lifelong Education Master of Science (Industry 4.0) Overview Expand The MSc (Industry 4.0) is an inter-disciplinary programme offered in collaboration with the Faculty of Engineering, Faculty of Science, School of Computing, Institute of Systems Science, NUS Business School and School of Continuing and Lifelong Education. 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