Executive Certificate in Project Management, AI & Data Analytics
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
Venue
Lingnan Union Park Centre, 771-775 Nathan Road, Prince Edward, Kowloon
Course 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 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)
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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Certificate
Enquiries:
E-mail: [email protected]
If you need to contact the programme administrator, please click here.