FlexiMasters in Engineering Leadership

Register Your Interest

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


 

 

FlexiMasters in Engineering Leadership

The FlexiMasters in Engineering Leadership 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.

The FlexiMasters in Engineering Leadership 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 seven 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 7 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.
  • No pre-requisites are needed to enroll in the individual courses.
  • 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 the requirement of SkillsFuture Singapore, assessment(s) will be conducted during every course.
    The assessment(s) include:

    1. Strategic Management in Technology-Driven Environments
    - Class Participation
    - Quiz
    - Group Presentation

    2. Economic Analysis of Engineering Projects
    - Class Participation
    - Quiz
    - Group Presentation

    3. Leadership and Management for Engineers
    - Class Participation
    - Quiz
    - Group Presentation

    4. Legal Essentials for Engineers
    - Class Participation
    - Weekly Learning & Reflection Logs 
    - Quiz

    5. Design and Systems Thinking for Engineers
    - Class Participation
    - Written Assignment (Take-home)
    - Group Presentation

    6. Lab to Market: Technology Commercialisation
    - Class Participation
    - Individual Assignment
    - Group Presentation

    7. Data Science and Analytics for Business Intelligence (elective)
    - Team Assignment
    - Quiz

    Recommended for working professionals employed in engineering or related fields, preferably with at least 7 years of work experience, or current technical leads and engineering managers, so as to better benefit from and appreciate the programme contents.

    Shortlisting will be conducted for this programme.

    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 to formulate and implement strategies that generate sustainable value within volatile, innovation-driven markets. 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 strategic mindset that integrates technological foresight, principles of digital transformation, and entrepreneurial agility. Learners will be able to critically analyse complex business challenges and determine how firms can achieve, sustain, and defend competitive advantages in technology-driven environments.

    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 prepares 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 informed decisions that impact an organization’s financial health. 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 and contribute to sustainable, value-driven engineering solutions in today’s competitive, innovation-led economy.

    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.

     

    Leadership and Management for Engineers(1.5 AU)
    This course equips engineers and technical professionals with the essential leadership and management capabilities needed to thrive in today’s disruptive and AI-driven landscape. Learners will explore frameworks and practices for leading in uncertain, complex, and dynamic environments, developing the ability to influence teams, manage stakeholders, and make strategic decisions under pressure. Through case studies, personal assessments, and real-world examples from Asia, learners will reflect on their leadership styles and learn to design and lead agile, innovative teams. The course is ideal for engineers aspiring to transition into managerial or leadership roles across industries.

     

    At the end of the course, learners will be able to: 
    • Evaluate leadership and management frameworks for technical professionals in rapidly changing environment
    • Apply communication and influence strategies to manage teams and stakeholders.
    • Design and lead agile, diverse engineering teams for innovation
    • Make strategic decisions under uncertainty
    • Reflect on personal leadership strengths and formulate a personal leadership development roadmap.

     

    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 introduces key areas of private law relevant to engineering practice, including 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, 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.
    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.
    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
     

    Lab to Market: Technology Commercialisation
    (1.5 AU)

    This course empowers learners with the knowledge and skills to transform their lab-developed ideas into commercially viable ventures. It equips learners with essential entrepreneurial skills such as problem identification, value proposition design, business modelling, go-to-market strategies, and early-stage financing. Emphasis will be placed on practical application through case studies, startup metrics, and venture design tools. By the end of the course, learners will be prepared to validate, launch, and scale early-stage ideas using lean and resourceful approaches. Highly relevant in today’s dynamic, tech-enabled business landscape, this course prepares learners to contribute to innovation-driven industries or pursue entrepreneurial pathways.

    At the end of the course, learners will be able to:
    • Identify and frame significant problems and develop audaciously desirable offerings (ADOs) to address them
    • Analyse competitive landscapes and apply strategies to reposition ventures from red ocean to blue ocean markets
    • Construct compelling growth narratives that align with product-market opportunities
    • Apply startup financial models and metrics, such as Customer Lifetime Value- to- Customer Acquisition Cost ratio, churn rate, and Product-Market-Fit indicators.
    • Design a lean go-to-market plan including Minimum Viable Products (MVPs), customer acquisition channels, and validation loops
    • Demonstrate an understanding of the role of AI in marketing ecosystems and go-to-market activities.
     
    Data Science and Analytics for
    Business Intelligence (Elective)
    (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.

    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: NTU Main Campus, Virtual (Online)
    Date: 

    COURSE TITLECLASS SCHEDULEREGISTRATION CLOSING DATE
    Strategic Management in Technology-Driven Environments  
    Economic Analysis of Engineering Projects

    Leadership and Management for Engineers


    Legal Essentials for Engineers


    Design and Systems Thinking for Engineers
    		 
    Lab to Market: Technology Commercialisation  
    Data Science and Analytics for Business Intelligence (Elective)  
    • Course Sequencing: No pre-requisites are needed to enroll in the individual courses.
    • To facilitate the shortlisting process, please submit your highest qualification certificate(s) and transcript(s) at the point of course registration(s).

    Listed courses are:

    • Credit-bearing and stackable to Graduate Certificate in Engineering Leadership (9 AU), FlexiMasters in Engineering Leadership (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 Leadership (9 AU)
      • FlexiMasters in Engineering Leadership (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$27,250 (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$25,000.00S$2,500.00 - S$5,000.00Pending SSG approvalPending SSG approval
        Enhanced Training Support for SMEs (ETSS)S$25,000.00S$2,500.00 - S$5,000.00Pending SSG approval
        		Pending SSG approval

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

        (Up to 90% funding)

        		S$25,000.00S$2,500.00 - S$5,000.00Pending 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.
        Dr 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 Songlin 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.

         

         

        Dr Tan Joo SengDr. Tan Joo Seng
        Instructor for: 
        Leadership and Management for Engineers

        Dr. Tan Joo Seng is an Associate Professor in the Division of Strategy, International Business & Entrepreneurship at Nanyang Business School (NBS), NTU. He brings over 25 years of experience in executive education and leadership training for Fortune 500 companies and government agencies across Asia. At NTU, he has held key academic leadership roles, including Academic Director of the Nanyang EMBA and Deputy Director of the Renaissance Engineering Programme.

        Dr. Tan’s expertise spans global leadership, digital transformation strategy, cultural intelligence, and design thinking. He is a Teaching Excellence Academy Fellow and has received multiple teaching awards. His philosophy blends academic rigor with practical relevance to help technical professionals thrive in fast-changing environments, with perspectives featured in the Business Times and international forums.

         

        Althaf MarsoofAlthaf 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 Prof 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. 

         

        Eric LamMr. Eric Lam
        Instructor for: 
        Lab to Market: Technology Commercialisation

        Eric Lam is an AI investor and innovator, and the founding investor of the startup that created Estha, a platform allowing non-tech individuals to build AI apps. He is the author of the bestselling book, The Fast Founder: From Startup to Exit in 36 Months, and serves as a General Partner of a boutique venture fund targeting the China market.

        A serial entrepreneur with over 20 years of zero-to-one startup experience, Eric has led multinational teams across Asia Pacific and the USA. He has raised more than SGD 20 million from investors and successfully exited a startup in Australia within two years. His expertise lies in business design, opportunity identification, and disruptive competition. 

         

        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.