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To earn the prestigious PCiDS™ Certificate, the process consists of two stages. The first stage must be completed within three months. All exam-takers must strictly adhere to the following instructions:
Stage 1 - Qualifying Round
You will be given a cybersecurity scenario and are required to complete the following tasks:
Detailed Report
The report must include the following components:
Important:
Any content with a high similarity to AI-generated material will result in a deduction of marks. It is the trainee’s responsibility to ensure the report reflects original thought and demonstrates minimal similarity to AI-generated outputs.
Video Presentation
After completing the detailed report, the trainee must record a video presentation with the following requirements:
Important:
The trainee must present the biographical page of their passport or the front of their photo ID with the photo, showing their photo alongside their face, in the video before the presentation begins. The name printed on the passport or ID must be the same as the registered name with Data Chord. The certificate will be issued to the name found in the passport or ID.
Optional:
Trainees are encouraged to use video editing tools to enhance the presentation quality.
Alternatively, the trainee may present the report in a videoconference-style format, delivering the presentation to a live audience via platforms such as Microsoft Teams or Zoom.
Criteria
Trainees must achieve a minimum score of 70% to advance to the Certification Round. In the event of failure, trainees may retake Stage 1 by paying the examination fee again.
Stage 2 - Certification Round
Upon completing the stage 1 qualifying round with at least a pass of 70% mark, the candidate will receive an invitation to be interviewed by one of the expert panel assessors. The interview typically happens within 1 month after obtaining a pass for stage 1.
During the interview, the candidate must:
Important:
Interview Format:
The candidate must achieve a PASS decided by the assessor(s). Upon passing stage 2 which is the certification round, the candidate will receive the e-certificate within 7 working days. Candidates may request for a hardcopy at an additional fee.
With over 20 years of experience in data science across multiple markets and more than 7 years as a university lecturer, Dr. Daniel Koh brings deep expertise at the intersection of data, education, and innovation. He has worked extensively with both government agencies and private enterprises to develop data-driven strategies for decision
With over 20 years of experience in data science across multiple markets and more than 7 years as a university lecturer, Dr. Daniel Koh brings deep expertise at the intersection of data, education, and innovation. He has worked extensively with both government agencies and private enterprises to develop data-driven strategies for decision-making and digital transformation. Dr. Koh is the founder of Koh & Associates in Osaka and the Managing Director of the Singapore-based affiliated company, Data Chord Pte Ltd. His programs blend rigorous analytical training with practical, real-world application, preparing trainees not just to understand data—but to lead with it. He is also actively involved in building bridges between regional talent and international opportunities, particularly in high-impact areas such as data science and AI. In recognition of his contributions to Singapore’s national efforts during the COVID-19 pandemic, Dr. Koh was awarded the COVID-19 Resilience Medal, honoring his role in using data science to support public initiatives during a time of crisis. Trainees who successfully complete his programs emerge with the technical competence, critical thinking, and global mindset necessary to thrive in fast-changing, data-intensive environments.
One of only 20 globally curated members of the World Economic Forum’s Global Future Council on Data Frontiers, Dr. Kathrin Kind-Trueller is a distinguished, multi-award-winning expert in the application of artificial intelligence to business. She began her career in 1999 in quality engineering for international mobile communication networ
One of only 20 globally curated members of the World Economic Forum’s Global Future Council on Data Frontiers, Dr. Kathrin Kind-Trueller is a distinguished, multi-award-winning expert in the application of artificial intelligence to business. She began her career in 1999 in quality engineering for international mobile communication networks at Siemens. Over the years, she has contributed to the development of complete vehicle functions—including ADAS, engine management, steering, braking, cockpit infotainment, and autonomous driving—at top-tier automotive suppliers such as Bosch, ZF-TRW, and Magneti Marelli, as well as OEMs like BMW (Munich), Mercedes-Benz Cars (Sindelfingen), and Audi (Ingolstadt). She later served as a senior research scientist in AI for the Volkswagen Group in Wolfsburg.
Dr. Kind-Trueller currently holds the position of Chief Data Scientist and AI Director for Cognizant in Global Growth Markets. She is also a Technical Editor for CRC Press and Springer Nature, a volunteer mentor with the KALAI initiative under ICT, and a guest lecturer at the University of Agder (Norway) and the University of New Delhi. A prolific academic, she is the author and co-author of several technical books on autonomous systems and data.
Her academic background includes a Doctorate in AI applied to business from SSBM Geneva in collaboration with the University of Zagreb, an MBA in AI from the University of Cumbria, an MSc in Computer Science and Software Engineering from the University of Hertfordshire, and a Master of Arts in Leading Innovation and Change from York St. John University. She also holds Postgraduate Diplomas in Digitalisation Leadership from Columbia University and Systems Engineering from MIT (USA). With her expertise in data science and AI, we are confident that she brings great value to our professional certificate in data science program.
The PCiDS™ certificate issued by Data Chord is accredited by The Association of Data Scientists, the international body for data science and AI.
28 June 2025 - alongside with the online PCiDS™ training program
16 July 2025 - alongside with the NextGen Tech Fellowship Program
21 August 2025 - alongside with the PCiDS™ face-to-face training program in Central Asia
US$300
Note: This exam fee is included in the PCiDS Training Program fee, both online and face-to-face.
Virtual submission via LMS
3 months to complete stage 1
Data Chord (UEN: 202435637C)
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