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PhD in Smart Manufacturing

  • Overview
  • Program Details
  • Curriculum

Overview

The PhD programs in Smart Manufacturing will provide students with a detailed understanding of each level of manufacturing processes, combining skills in mathematics, science and business to prepare them in developing innovative ways of systems design and product production. Our course design focuses on providing fundamental knowledge as well as hands-on training in the curriculum. Students graduating from the program will be versatile and well-equipped to derive valuable insights and make sound decisions. We will also offer new pedagogical training to meet the complex challenges that researchers face and prepare research students with specialized and transferrable skills to cope with new manufacturing engineering settings.

  • PhD graduates should be capable of conducting high-quality original research, creating new knowledge, showing valuable insights and making significant contribution to academia and the field.

Program Details

Normative Program Duration

PhD
Full-time:

  • 3 years (with a relevant research master's degree),
  • 4 years (without a relevant research master's degree)

Part-time:

  • 6 years

Medium of Instruction

  • All lectures and materials are in English.

Postgraduate Scholarship

PhD
Full-time:

  • The PGS rate will be CNY15,000 per month for 2024-25, up to 4 years for full-time PhD students
  • Details about financial assistance are available at:
DETAILS

Graduation on Completion of Studies

When students have completed the degree requirements for an award, they will be included in the list of potential graduates.

To be considered for graduation, PhD student must:

  • Complete the courses specified for the program;
  • Achieve a graduation grade average of at least 2.850 in the courses used to satisfy the program requirements;
  • Attain a pass in the thesis examination;
  • Complete the program within the specified time limit.

Curriculum

Click Below for More Info

DETAILS

Credit Requirement

PhD: 21 credits

Required Core Courses

  • Course Code Course Title Credit
  • UCMP 6010
    or
    UCMP 6030     Cross-disciplinary Research Methods I
    or
    Cross-disciplinary Design Thinking I     2
  • SYSH 5000 Model-based Systems Engineering 2
  • FUNH 5000
    or
    INFH 5000
    or
    SOCH 5000     Introduction to Function Hub for Sustainable Future
    or
    Information Science and Technology: Essentials and Trends
    or
    Technological Innovation and Social Entrepreneurship     2

Required Common Courses

  • Course Code Course Title Credit
  • LANG 5000 Foundation in Listening & Speaking for Postgraduate Students 1
  • LANG 5001 Communicating Research in English 1
  • PDEV 6770 Professional Development for Research Postgraduate Students 1
  • PDEV 6800 Introduction to Teaching and Learning in Higher Education 0
  • SYSH 6780 Career Development for Systems Hub Research Students 1
  • BSBE/INTR/ROAS/SMMG 6800 Seminars 0

Sample List of Domain Knowledge Courses

  • Course Code Course Title Credit(s)
  • SMMG 5100 Microelectromechanical Systems (MEMS) Fabrication Technology 3
  • SMMG 5200 Global Manufacturing 3
  • SMMG 5300 Nanotechnology: Fundamentals and Applications 3
  • SMMG 5400 Design for Additive Manufacturing 3
  • SMMG 5500 Additive Manufacturing Fundamentals 3
  • SMMG 5600 Fundamental Theories and Algorithms of CAD/CAM 3
  • SMMG 5700 Fundamentals in Metal Processing 3
  • SMMG 5800 Industrial Automation and Analytics 3
  • SMMG 5900 Advanced Metal Additive Manufacturing 3
  • SMMG 6000 Special Topics in Smart Manufacturing 3