FM-website-banner-template-(Engineering-Mangement)_mobile

Register Your Interest

For more information about this programme, please contact:
NTU PACE
Email: [email protected]


 

 

FlexiMasters in Engineering Management

The FlexiMasters in Engineering Management is crafted for experienced professionals and engineers who are ready to move beyond technical expertise and step confidently into management and leadership roles. From mastering strategy and economic analysis to navigating legal essentials, design thinking, and technology commercialization, each course is designed to empower the learner with practical knowledge and future-ready capabilities. The training in advanced skills in data analytics will also prepare learners to lead teams and drive innovation in complex, fast-changing environments. This stackable programme also offers a pathway to learners (who meet the minimum requirements) to the prestigious Master of Science in Engineering Management, supporting lifelong professional upskilling.

The FlexiMasters in Engineering Management also offers a pathway to learners (who meet the minimum requirements) to the prestigious Master of Science (MSc) in Engineering Management, supporting lifelong professional upskilling.

By the end of this programme, learners will be able to:

  • Lead Confidently with Strategic and Analytical Leadership Skills: Equipped with advanced strategic management, economic analysis, and decision-making frameworks, you will learn to assess business environments, formulate and implement strategies, and make informed decisions that drive sustainable value in technology-driven organizations.

  • Venture Forth with Legal, Design, and Commercialization Knowledge: With courses in legal essentials for engineers, design and systems thinking, and technology commercialization, you will be able to navigate contracts, protect intellectual property, manage risk, and bring innovative ideas from the lab to the market—skills that are directly applicable to real-world engineering leadership.

  • Drive Smarter Business Decisions with Analytics: You will gain hands-on experience in data science and analytics, learning how to extract actionable insights, design data-driven solutions, and support business intelligence. These capabilities are crucial for leading teams and making impactful decisions in today’s data-rich environments.

  • Gain a Holistic, Future-Ready Management Perspective: The programme’s integrated approach ensures you develop not just technical or managerial skills, but a holistic leadership mindset. You will be prepared to lead teams, manage complex projects, and drive innovation in fast-changing, multidisciplinary settings—making you a valuable asset in any engineering or technology organization.
  • The programme consists of six courses worth a total of 15 Academic Units (AUs).
  • Assessment(s) will be conducted during every course and learners will be graded based on their performance in the assessment(s).
  • While there is no specific admission requirement, the courses are recommended for working professionals preferably with at least 5 years of work experience in engineering or related fields and aiming for managerial or leadership roles, so as to better benefit from and appreciate the course contents.
  • Shortlisting will be conducted for this programme.
  • Mode of class delivery: Face-to-Face Learning and Asynchronous E-Learning.
Upon successful completion, the following qualifications will be awarded:
  • A Graduate Certificate will be awarded to learners attaining 9 AUs, with a minimum Grade Point of 2.5 (which is equivalent to a letter grade of C+) achieved for each course.
  • A FlexiMasters will be awarded to learners attaining 15 AUs, and achieving a minimum Grade Point of 2.5 (which is equivalent to a letter grade of C+) for each course.

Pathway to the Master's programme:

Credits earned are valid for 5 years for transfer of credits to the MSc in Engineering Management. The minimum Grade Point eligible for transfer of credits to the Master of Science in Engineering Management is 2.5 (which is equivalent to a letter grade of C+). Transfer of credits is by application and the application will be assessed and approved by the University in accordance with University Credits Transfer and Course Exemption Policy.

    To meet SkillsFuture Singapore (SSG) requirements, assessment(s) are conducted during every course. These may include class participation, individual or group assignments, project presentation, quizzes, and/or written examination, depending on the course.


    • Working professionals preferably with at least 5 years of work experience in engineering or related fields and aiming for managerial or leadership roles.
    • Engineers with technical expertise and aspiring to move into managerial or leadership positions.
    • Technical leads/supervisors or engineering managers who wish to formalise and enhance their leadership skills and management knowledge.

    Prior knowledge in engineering principles and basic project work experience will be an advantage, but no formal leadership experience is required. Learners without qualifications or working experience in relevant engineering or the related fields may find the course contents challenging.

    Note: Shortlisting will be conducted.

    Course title Objective

     

    Strategic Management in Technology-Driven Environments
    (1.5 AU)

    This course provides advanced strategic management skills for leading and navigating technology-intensive organisations. Learners will develop the expertise in formulating and implementing business strategies that generate sustainable value within volatile, innovation-driven markets. By applying contemporary analytical frameworks, learners will learn to assess dynamic external opportunities, diagnose internal organisational capabilities, and craft strategic responses that are rigorously aligned with corporate vision and values. This course cultivates a leadership mindset that integrates technological foresight, digital transformation principles, and entrepreneurial agility. Learners will be able to critically analyse complex business challenges and determine how organisations can achieve, sustain, and defend competitive advantages in today’s dynamic, technology-driven environments.

    As this micro-credential course is only offered in the FlexiMasters in Engineering Management programme, learners are required to enrol into the programme and complete all required courses within this programme.

    At the end of the course, learners will be able to:

    • Assess external opportunities and threats faced by technology-based organisations, and analyse internal strengths and weaknesses of technology-intensive firms
    • Formulate the business-level, corporate-level and international strategies to create sustainable competitive advantages
    • Create value propositions consistent with the business strategy and design unique perceived values
    • Implement adequate strategies with effective decision-making, and manage the dynamic strategic management process to accelerate innovation

     

    Economic Analysis of
    Engineering Projects
    (3 AU)

    This course empowers engineers to tackle interdisciplinary challenges in planning and managing complex technological systems. With a focus on balancing economic and engineering variables, learners gain essential skills to make data-driven decisions that impact and enhance organizational performance. The curriculum integrates economic analysis techniques and management tools tailored for technology-driven environments. Learners will build a strong foundation in evaluating operational choices through an economic lens, enhancing their strategic thinking and decision-making capabilities. By the end of the course, learners will confidently assess financial implications, tackle industry challenges, and contribute to sustainable, value-driven engineering solutions in today’s competitive, innovation-led landscape.

    At the end of the course, learners will be able to:

    • Explain and apply common economic and financial terms (e.g., time value of money, nominal and effective interest rates, rate of return, inflation etc.) 
    • Calculate key financial matrics (e.g., present and annual worth, rate of return, etc.) to evaluate engineering projects.
    • Optimise decision making through techniques like rate of return analysis, benefit and cost analysis, breakeven and payback analysis etc.
    • Determine optimal strategies for capital expenditure equipment retention, and financing.
    • Evaluate how macro-economic factors like inflation and tax affect project decisions.

     

    Legal Essentials for Engineers
    (1.5 AU)

    Legal knowledge is vital for engineers who negotiate contracts, collaborate with stakeholders, protect intellectual property, and manage disputes. This course covers key areas of private law relevant to engineering practice, focusing on contract law, torts, and intellectual property. Learners will engage in case studies, simulations, and practical exercises to interpret legal documents, manage risks, and structure clear, fair, and enforceable agreements. By the end of the course, learners will understand how to avoid costly mistakes, make informed strategic decisions, and handle legal challenges confidently, enabling them to contribute more effectively to the planning, execution, and success of engineering projects.

    As this micro-credential course is only offered in the FlexiMasters in Engineering Management programme, learners are required to enrol into the programme and complete all required courses within this programme.

    At the end of the course, learners will be able to:

    • Identify and explain core legal principles and concepts in contract law, the law of torts, and intellectual property law as they apply to engineering practice.
    • Interpret and apply legal principles and concepts to analyse legal issues arising in the engineering context.
    • Critically evaluate how legal principles influence engineering decisions and strategies in professional and project-based contexts.
    • Formulate and present coherent, well-supported legal arguments and recommendations, both in writing and orally.
    • Collaborate and problem-solve with an appreciation of how legal considerations influence choices and decisions in the engineering context.

     

    Design and Systems Thinking for Engineers
    (3 AU)

    This course equips learners with in-demand skills to understand and create solutions for complex engineering problems through the combination of design and systems thinking methods. Learners will master the fundamentals of systems structure and behaviour and deconstruct real-world challenges using proven systems thinking methodologies. Through the design thinking process, learners will apply iterative frameworks and practical tools for generating insights, reframing problems, and creating user-centred solutions. This course empowers engineers to apply strategic, holistic approaches that drive creativity, improve decision-making, and deliver viable solutions that meet user needs.

    As this micro-credential course is only offered in the FlexiMasters in Engineering Management programme, learners are required to enrol into the programme and complete all required courses within this programme.

    At the end of the course, learners will be able to:

    • Describe the ideology and processes of design and systems thinking and how it differs from other design and development methods.
    • Develop challenge and problem statements for a selected issue within a public or industry sector by using design and systems thinking analysis techniques.
    • Apply creative and inventive techniques to conceptualise and develop holistic and human-centred solutions for a selected issue within a public or industry sector.
    • Constructively discuss and critique design thinking and systems thinking approaches, processes and solutions employed by peers
    Corporate Resource Planning and Operations Management 
    (3 AU)

    This course integrates concepts in business planning, demand and supply planning, Information Technology and change management. The course focuses on planning and control of inventories and manufacturing capacities, and Sales and Operations Planning (SOP) which has emerged as an essential top management tool. In this course, learners will develop planning and analytical skills useful for sales and operations planning, demand management, order fulfilment, master production scheduling and planning and control of capacity and requirement planning of component/sub-assemblies. The course is specifically tailored for practicing engineers, and logisticians employed (or seeking employment) in Supply Chain, Manufacturing or Logistics sectors. 

    As this micro-credential course is only offered in the FlexiMasters in Engineering Management programme, learners are required to enrol into the programme and complete all required courses within this programme.

    At the end of the course, learners will be able to:

    • Explain the role of Business Planning, Demand Planning, Supply Planning and Sales and Operations Planning in complex supply chains
    • Design a SOP implementation plan for a business
    • Plan demand faced by an organization’s manufacturing capacity
    • Develop master production schedule based on actual demand and forecasts
    • Develop detailed Material Requirement Plans based on master production schedules
    • Describe and employ distribution requirement planning techniques
    • Describe and employ capacity planning techniques
     
    Data Science and Analytics for
    Business Intelligence
    (3 AU)

    This course equips learners with the knowledge and practical skills to apply data science and analytics for informed decision-making in engineering management and business contexts. Learners will learn to extract actionable insights from data, design data-driven solutions, and apply advanced techniques to support business intelligence and decision making. Emphasis is placed on linking technical data analytics methods with strategic and operational decisions, enabling learners to become effective managers who can bridge the gap between engineering, data, and business.

    As this micro-credential course is only offered in the FlexiMasters in Engineering Management programme, learners are required to enrol into the programme and complete all required courses within this programme.

    At the end of the course, learners will be able to:

    • Describe the applications of Data Science and Analytics in engineering and management settings.
    • Collect, clean and transform data for analysis, visualization and decision-making.
    • Apply statistical, machine learning and optimization techniques to solve real-world managerial and engineering problems.
    • Interpret and communicate analytical insights using appropriate visualisation techniques for diverse stakeholders.
    • Design and implement analytics strategies to support competitive advantage.

    Venue: Lifelong Learning Institute (LLI) and Virtual (Online)
    Date:     August 2026 to March 2027

    COURSE TITLECLASS SCHEDULE (TENTATIVE) 
    Strategic Management in Technology-Driven EnvironmentsAugust 2026

     

    REGISTER YOUR INTEREST

    Legal Essentials for Engineers September 2026
    Economic Analysis of Engineering Projects
    		November 2026
    Design and Systems Thinking for Engineers
    October, November 2026
    Corporate Resource Planning and Operations ManagementJanuary 2027
    Data Science and Analytics for Business IntelligenceFebruary/March 2027
    • To facilitate the shortlisting process, please submit your highest qualification certificate(s) and resume at the point of course registration(s).

    Venue: NTU Main Campus
    Date:     AY2026/27

    COURSE TITLECLASS SCHEDULE
    AY2026/27
    Strategic Management in Technology-Driven EnvironmentsSemester 1
    Legal Essentials for EngineersSemester 1
    Economic Analysis of Engineering ProjectsSemester 1
    Design and Systems Thinking for EngineersSemester 1
    Corporate Resource Planning and Operations ManagementSemester 2
    Data Science and Analytics for Business IntelligenceSemester 2

    Listed courses are:

    • Credit-bearing and stackable to Graduate Certificate in Engineering Management (9 AU), FlexiMasters in Engineering Management (15 AU), and MSc in Engineering Management (30 AU).

    Note: NTU reserves the right to change the date, venue, and mode of delivery due to unforeseen circumstances.

      These courses are part of:

      • Graduate Certificate in Engineering Mangement (9 AU)
      • FlexiMasters in Engineering Management (15 AU)
      • MSc in Engineering Management (30 AU)

      Learners will receive their Statement of Accomplishment (for a grade of D and above) or Certificate of Participation for each course—dependent upon their assessment performance.

         

        Programme Fee: S$28,340 (inclusive of GST)

         BEFORE funding & GSTAFTER SSG funding
        (if eligible under various schemes)
        & 9% GST
        SSG Funding SupportProgramme FeeCourse FeeProgramme Fee PayableCourse Fee Payable

        Singapore Citizen (SC) and Permanent Resident (PR)

        (Up to 70% funding)

        		S$26,000S$2,600 - S$5,200Pending SSG approvalPending SSG approval
        Enhanced Training Support for SMEs (ETSS)S$26,000S$2,600 - S$5,200Pending SSG approval
        		Pending SSG approval

        Singapore Citizen aged ≥ 40 years old SkillsFuture Mid-career Enhanced Subsidy (MCES)

        (Up to 90% funding)

        		S$26,000S$2,600 - S$5,200Pending SSG approvalPending SSG approval
        • NTU/NIE alumni may utilise their $1,600 Alumni Course Credits for each course. Click here for more information.
        • Learners can utilise their SkillsFuture Credits for these courses​​​.
        • Singaporeans aged 40 years and above are able to use their SkillsFuture Credit (Mid-Career) top-up of $4,000 to offset the course fees after SSG funding.
        Yan Li

        Dr Yan Li
        Instructor for: 
        Strategic Management in Technology-Driven Environments

        Dr Yan Li is currently a Senior Lecturer in Nanyang Business School (NBS) at Nanyang Technological University (NTU). Prior to this position, he held a dual appointment as Professor of Practice in Strategic Management and Director of Executive Education at Xi'an Jiaotong Liverpool University (XJTLU). He has also served as a Senior Lecturer of Strategic Management at Singapore Management University (SMU) and held director roles at Shanghai Advanced Institute of Finance (SAIF) and China Europe International Business School (CEIBS).

        His research areas include international business, strategic management, and business model design. He specializes in topics such as blockchain and FinTech business model design, radical organizational changes, and complexity management in times of crisis. His work adopts qualitative and historical approaches to understand the institutional impact on organizations. 

         

        Dr Chen Songlin
        Instructor for: 
        Economic Analysis of Engineering Projects

        Dr Chen is currently a Senior Lecturer and Assistant Chair for Graduate Studies at the School of Mechanical and Aerospace Engineering (MAE) at NTU. He obtained his Ph.D. in Industrial Engineering and Engineering Management from the Hong Kong University of Science & Technology. Prior to that, he earned a Master’s degree in Aeronautics and Astronautics from Stanford University and a Bachelor’s degree in Aerospace Engineering from the National University of Defence Technology in China.

        His research is focused on the design and operations of advanced manufacturing and service systems. He has a special interest in mass customization, system reliability and risk analysis, as well as supply chain coordination and contracting.

         

         

        Althaf MarsoofAssociate Professor Althaf Marsoof
        Instructor for: 
        Legal Essentials for Engineers

        Althaf Marsoof is an Associate Professor at the Division of Business Law of Nanyang Business School, NTU, where he currently serves as the Deputy Head of the Business Law Division and as a Fellow of the Renaissance Engineering Programme. He holds a PhD from King’s College London, an LLM from the University of Cambridge, and is qualified to practise law in Sri Lanka, having previously served as a State Counsel.

        Althaf specialises in intellectual property law and technology law, with research published in reputable international journals. He is an award-winning educator, receiving the NBS Teaching Excellence Award in 2024 and the REP Teacher of the Year Award in 2021. His book on internet intermediaries and trademark rights has been cited in the European Court of Justice. 

         

        Jeffrey HongMr Jeffrey Hong
        Instructor for: 
        Design and Systems Thinking for Engineers

        Jeffrey Hong is currently a Senior Lecturer at the School of Art, Design and Media (ADM), NTU. He holds a Master of Science in Human Factors Engineering from NTU and a Bachelor of Technology in Industrial Design from Monash University. Jeffrey has varied experience practicing as a product designer, working on designs for packaging, consumer products, exhibitions, and transportation. He has been teaching Design for the past 25 years at various tertiary institutions in Singapore.

         

        Associate Professor Andy Khong Associate Professor Andy Khong
        Instructor for: 
        Design and Systems Thinking for Engineers

        Associate Professor Andy Khong is a faculty member with the School of Electrical and Electronic Engineering and holds a joint appointment with the Lee Kong Chian School of Medicine. He currently serves as the Deputy Associate Provost (Student Life) at NTU.

        He graduated with a B.Eng. from NTU and a PhD in signal processing from Imperial College London. His research interests include AI and machine learning with applications in learning analytics, microphone array technologies, and mobile health apps. 

         

        Dr. Rajesh Piplani 
        Instructor for: Corporate Resource Planning and Operations Management

        Dr. Rajesh Piplani (Ph.D. Purdue University, 1995) is an associate professor at Nanyang Technological University, Singapore and the Director of M.Sc. program (Supply Chain Engineering). Dr. Piplani's interests are in supply chain design and inventory planning of manufacturing, logistics and pharmaceutical enterprises. His latest project entails investigation of machine learning to shop floor control and supply chain planning.

        Dr Piplani has offered customized programs for various companies (PSA, DHL, Singapore Customs, TNT, Phillips, Maxtor, etc.), and for all the three branches of Singapore Armed Forces (Army, Navy, and Air Force). He has worked on supply chain modelling and analysis projects for Singapore-based companies in the pharmaceutical, automotive, electronics and beverage sectors.

         

        Mr. Neumann Chew C.HMr Neumann Chew C.H.
        Instructor for: 
        Data Science and Analytics for Business Intelligence

        Mr Neumann Chew C.H. is a Senior Lecturer at Nanyang Business School, where he leads Data Science and Machine Learning projects with companies. Previously, he was Principal and Head of Analytics at SAS Institute, designing advanced analytics solutions for government agencies and MNCs. He also served as Head of Research & Statistics at the Ministry of Health.

        He published the textbook Artificial Intelligence, Analytics and Data Science, which is currently used in master’s programmes and executive courses. A recipient of the 2023 Teaching Excellence Award, he specializes in bridging technical data analytics methods with strategic business decisions.