Subsite Background

Executive Certificate in Project Management, AI & Data Analytics

project management


To be announced


This course explores the integration of project management principles with data analytics techniques. Students will learn how to leverage data analytics methodologies to enhance project decision-making, improve outcomes, and drive project success. The course provides a foundational understanding of project management and introduces the essential data analytics concepts, tools and techniques that applicable to project environments.


About the Course

Course Time: 18:30 - 21:30 with 2 breaks

Enrolment: 17 Feb - 31 Mar 2024

Commencement: 2 Apr 2024


Course Schedule

Class Schedule: 2 evening classes per week with 3 hours per class

Total Duration: 8 lectures (3 hours each) with a total of 24 hours


Assessment Methods

Part A: Individual or group case study to assess understanding of PM and Data Analytic techniques (50%).

Part B: Assessment of Multiple choice on Project management (50%).

Completion Requirements: Final score is no less than 50 based on the calculation: (Part A+ Part B) /2 (Out of 100 for each part); And class participation and attendance no less than 70% 


Course Language

English, Cantonese


Mode of Study

Face to face



Lingnan Union Park Centre, 771-775 Nathan Road, Prince Edward, Kowloon


Course Structure

course 2 structure


Course Syllabus



Part (A): PMI Project Management Perspective (18 hrs)


Lecture-1: Project management fundamentals and core concepts (Part 1 & 2)

  • Project life cycles and processes
  • Project management planning
  • Project roles and responsibilities
  • Follow and execute planned strategies or frameworks (e.g., communication, risks, etc.)
  • Problem-solving tools and techniques in project environment


Lecture-2: Project planning, scheduling, resource allocation and estimation

  • Core concepts of project planning
  • Project scheduling techniques
  • Project Resources allocation tools and techniques
  • Project estimation techniques


Lecture-3: Predictive, plan-based methodology

  • Conditions to use a predictive, plan-based approach
  • Create project management plan schedule
  • Document project controls of predictive, plan- based projects


Lecture-4: Agile Frameworks and Methodology (Part 1)

  • Conditions to use an adaptive approach
  • Plan project iterations


Lecture-5: Agile Frameworks and Methodology (Part 2)

  • Document project controls for an adaptive project
  • Explain the components of an adaptive plan
  • Prepare and execute task management steps


Lecture-6: Business Requirement Analysis Framework

  • Business analysis (BA) roles and responsibilities
  • Conduct stakeholder communication
  • Gather requirements
  • Demonstrate an understanding of product roadmaps
  • Determine how project methodologies influence business analysis processes
  • Validate requirements through product delivery


Part (B): 

Lecuture-7,8: Data Analytics Perspective (6 hrs) 

Data Analytics

  • Fundamentals of data analytics and its relevance to project management
  • Basics of data collection, cleaning, and pre-processing
  • Data-Driven project management ICT systems skills, techniques and tools: Data warehousing, storage, data-lake, Hadoop, 
  • Data-Drive project management software analytics skills, techniques and tools: Data mining and machine learning techniques: decision tree, classification & regression, random-forest, dimension reduction & SVM 
  • Implementing data analytics for project quality management
  • Understanding data visualization for project reporting
  • Introduction to project risk management
  • Applying data-driven improvements for decision making and future projects


CAPM brochures

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Course Calendar

Course Lecturers

Prof. Kelvin WAN, PMI(HK) Master Trainer

Mr. Raymond Leung, PMI(HK) Master Trainer

Prof. Ir. Rosiah Ho, CEng, CPEng, RPEng​ (Lingnan University)

Dr. WANG Qi Vicky​ (Research Assistant Professor​, School of Graduate Studies,​ Lingnan University)

Details for Instructors Bio


Course Fee and Application

Course Fee

HK$7,200 or

For all Lingnanians and Supporting Organizations: HK$5,760 (20% discount)’ in the webpages of all programmes


Application Method

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E-mail: [email protected]

If you need to contact the programme administrator, please click here.