Course Name
The Accidental Project Manager
Schedule
October 05, 2026 - November 06, 2026
5 weeks self-paced learning
Live via Zoom: October 9, 16, 23, 30 & November 6
Fridays, 9:00 am - 11:00 am
Asynchronous materials access at AteneoBlueCloud (Canvas LMS)
All videos for the week must be viewed before the live session
Graded activities will be discussed during the live sessions, but due in two weeks from their scheduled start.
Total number of hours dedicated to Accidental Project Manager = Approx. 28 hours
Modality: asynchronous with live sessions (firesides)
Early Eagle Rate:
Php 28,800
Valid Until:
September 28, 2026
Description
Technical and functional managers of today are being pressured to take on the challenges of Project Management. The Accidental Project Manager is designed to give you an accelerated understanding of the practice. The program will help you navigate and survive the transition from technical and/or functional manager to a project manager.
This is a 5-week applied, Project Management course. Project managers will welcome this fresh translation of jargon into ordinary English.
Assessment of the Participants:
The participants are graded based on attendance, class participation, assignments, examinations and/or individual or group presentations. Grading shall be made according to the Ateneo Quality Point Index (QPI) system.
The Accidental Project Manager course is a part of the Diploma in Applied Project Management. A participant who successfully completed and passed all modules of the program will receive a diploma and grade certificate. He/she may also earn MBA elective credits from the Ateneo Graduate School of Business (AGSB) depending on the program they choose to pursue.
Disclaimer:
Ateneo CCE is not a PMI ATP (Authorized Training Provider). PMP, PMI, PMBOK, CAPM, ACP and PDU are registered marks of the Project Management Institute. However, professional development units (PDUs) will still be accepted from outside the Authorized Training Partner program. This means chapters, companies, or training providers who provide professional development opportunities – ATP or not – can provide PDU opportunities. PDUs may be self-reported by individuals who will be able to complete their courses with us by logging into the CCRS https://ccrs.pmi.org.
Who should attend
Individuals who need to strengthen their project management skills, new project managers, project team members, project sponsors, project proponents, new product development, project managers who need refresher course on project management knowledge, processes, competencies and tools.
Assessment of the Participants:
The participants are graded based on attendance, class participation, assignments, examinations and/or individual or group presentations. Grading shall be made according to the Ateneo Quality Point Index (QPI) system.
The Accidental Project Manager course is a part of the Diploma in Applied Project Management. A participant who successfully completed and passed all modules of the program will receive a diploma and grade certificate. He/she may also earn MBA elective credits from the Ateneo Graduate School of Business (AGSB) depending on the program they choose to pursue.
After the course, you will:
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Learn the basics of the Project Management Framework;
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Learn how to use techniques and tools for the Project Management discipline;
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Learn how to create Project Charters, WBS, Network Diagrams, and Project Reports; and
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Narrate and describe each phase of the Project Life Cycle from the start to the end of a project.
Week 1: Introduction to Accidental Project Manager
•Welcome to Accidental Project Manager!
•Project vs Operational Work
•What is not a Project?
•What is a Project?
•Outcome vs Output
•Understanding Progressive Elaboration
•Organizational Structure
•Matrix Organization
•Project Life Cycle
•What makes a Good Project Manager?
Week 2: Selection Phase
•Project Selection Phase
•Techniques & Feasibility
•Financial Analysis Techniques
•Benefit-Cost Ratio
Week 3: Concept Phase
•The Initiation Phase of a Project
•Stakeholder Management
•Developing a Project Charter
•The Project Charter
•Parts of a Project Charter
•Project Assumptions and Constraints
•The Work Breakdown Structure
•Organizing your Team
Week 4: Development Phase
•Project Planning
•Development Phase
•House Project
•Network Diagram
•Revealing the Critical Path
•Developing a Project Schedule
•Top-Down and Bottom-Up Estimate
Week 5: Implementation Phase and the Close Out
•Implementation Phase
•Change Control System
•Earned Value Management
•Project Management Knowledge Areas
Dr. Mario Domingo operates at the intersection of applied AI research, venture-building, executive accountability at national-platform scale, and academic formation in leadership and ethics. He currently serves as Regional Chief Technology Officer of CeQureX. Alongside this role, he holds a portfolio of advisory mandates positioned for the AI-driven transformation now reshaping enterprise, finance, and the public sector: fractional Chief Transformation and Technology Adviser to a major Philippine higher education system, a telecommunications subsidiary, and to a Philippine bank; technology adviser to the Philippine defense establishment on sovereign network architecture; and adviser on AI to senior leadership across multiple organizations.
His prior executive lineage includes service as Chief Technology Officer and CEO Officer-in-Charge of UBX through November 2025, an early Philippine institutional venture in blockchain and digital finance. Earlier in his career, he architected high-performance computing systems in production at the Cboe/Chi-X global exchanges: market infrastructure where correctness, latency, and trust at machine speed are non-negotiable.
He founded the Domingo AI Research Center (DARC Labs) in 2016, with work in medical imaging and cancer diagnostics, and co-founded DANATEQ Pte Ltd. in Singapore in 2010, focused on probabilistic AI for telecommunications infrastructure.
He holds a PhD in Leadership from Ateneo de Manila University (Critical Realism; Virtue Ethics, Deontology, Utilitarianism) and undertook post-graduate study in AI at MIT CSAIL.
