Chief Data and AI Officer Programme
- Campus Immersion and a Networking Event
- NUS Computing Executive Education Network
- Playbook: Elevate your Modern CXO Blueprint
- Access to Success Coach - To drive engagement and clarity
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Programme Overview
NUS School of Computing has launched the Chief Data and AI Officer Programme to help you lead the data strategy and analytics agenda of your organisation. This programme will teach you the technologies, tools and methodologies to manage data as a strategic asset, generate actionable analytical insights, foster innovation and reach closer to tangible business benefits. Unlock enterprise data value, align strategy with business needs, and become a trusted business partner.
Need a Course Introduction? Watch this!
Take a tour with Teo Chin Seng as he shares what the role of a Chief Data, and AI Officer entails, and how it can help you.
Drive Data-Driven Strategies for Long-Term Success in the AI Era
82%
US$175 B
58%
Learning Outcomes
Evaluate strategic implications and innovative value generation through proficient data management
Analyse strategies for capitalising on data monetisation
Explore innovation and emerging technologies in the domain
Examine cyber risk through proficient application of data analytics and ethical considerations, resulting in effective management of risks and compliance
Empower the team through the acquisition of advanced leadership proficiencies in team management, negotiation, influence, and change management
Programme Highlights
Improve data management and reduce business risk with this insight-driven programme
Comprehensive programme design, 23 modules across 5 key pillars
Pre-Recorded Video Lectures* from NUS faculty for self-paced learning interspersed with live sessions from renowned NUS faculty and industry practitioners
Connect and network with high-achieving global leaders during the campus immersion** and networking event
NUS Computing Executive Education Network***
Access to Success Coach - To drive engagement and clarity
Playbook - A dynamic learning tool that fosters a solution-focused mindset, empowering learners to independently generate ideas and develop practical skills
2-Week capstone project
Case study and application-based approach to solve real-world problems
Note:
The programme highlights presented above are approximate, and subject to change depending on the availability and expertise of the teaching faculty, as well as the programme's desired outcomes.
*The primary mode of learning for this programme is via live online sessions with faculty members. Post session video recordings will be made available at the discretion of faculty members.
**For the on-campus networking sessions participants will be responsible for making their own travel and accommodation arrangements.
***All benefits are subject to change at the discretion of NUS School of Computing.
This programme will be delivered in the English language.
The NUS School of Computing Advantage
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Who is this programme for?
Become a data strategist to drive tangible business value
Seasoned executives eager to champion AI strategies and leverage data as a key asset to spearhead sustainable and profitable growth.
Senior professionals with a working knowledge of data management who want to foster innovation through the power of data, and AI to propel business expansion and assume CXO positions.
Business leaders looking to explore latest opportunities to drive digital innovation and long-term strategic growth.
Past Participants Profile
Top Countries
Job Titles
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Work Experience
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Testimonials
Programme Modules
How to manage data as assets, integrate data from various sources, and derive value from data through visualisation and storytelling
Module 1: Data Governance and Strategy
Module 2: Data Engineering and Integration
Module 3: Data as an Asset for Monetisation
Module 4: Data Visualisation and Storytelling
How to use data to enable organisational growth, such as selling and marketing with data, financial planning and creating growth through innovation
Module 5: Strategic Thinking for Organisation Growth
Module 6: Using Data Science and Analytics to Drive Marketing and Sales Strategies
Module 7: AI changing the Value of Organisations and Businesses
Module 8: Financial Planning and AI-Driven Strategies
Module 9: Data-Driven Digital Transformation
Module 10: New Opportunities/Innovations
Latest technologies and trends in the field of AI, such as analytics and business intelligence, data science and machine learning, automation, and generative AI. It also addresses the challenges and opportunities of cybersecurity and cloud computing
Module 11: Analytics for Business Intelligence
Module 12: Advanced Data Science and Machine Learning
Module 13: Automation with AI
Module 14: Generative AI
Module 15: Prompt Engineering
Module 16: Cloud Computing
Module 17: Cybersecurity
How to understand and manage the risks associated with data and AI, such as data loss, data breach, data misuse, and ethical issues
Module 18: Cyber Risk Management
Module 19: Compliance and Intelligence/Surveillance with AI
Module 20: Data and Analytics, and the Use of AI for Risk Management
A senior data executive's leadership and communication skills, such as managing teams, communicating effectively, and adapting to change
Module 21: Team Management
Module 22: Influence with Effective Communication
Module 23: Change Management
The Capstone Project will give participants an opportunity to apply the learnings from this programme to a key industry or a real-world situation.
Programme Faculty
Adjunct Professor (Department of Information Systems & Analytics)
Former APAC Head, State Street Bank
Senior Lecturer (Department of Information Systems & Analytics)
Senior Lecturer (Department of Information Systems & Analytics)
Lecturer (Department of Information Systems & Analytics)
Senior Lecturer (Department of Computer Science)
Adjunct Associate Professor (Department of Industrial Systems Engineering & Management, CDE)
Founder of inventivemindset.com
Adjunct Lecturer (Department of Information Systems & Analytics)
Deputy Director with the PDPC
Executive Education Fellow (Advanced Computing for Executives)
Executive Education Fellow (Advanced Computing for Executives)
Global head of TMRW Digital Group
Fmr. Deputy Director & Head (CITO's Office) - NUS-IT
Fmr. Deputy Director & Head (CITO's Office) - NUS-IT
Executive Education Fellow (Advanced Computing for Executives)
Fmr. Sr.VP, Global IT, DP World
Educator and researcher in data Science
Lecturer (Educator Track)
Senior lecturer (Educator Track)
NUS Computing Executive Education Network
Upon successful completion of the programme, you will gain access to the following benefits:
Invitations to selected NUS events
Access to NUS School of Computing's Executive Education newsletters and webinars
Up to 15% savings on School of Computing's non-funded Executive Education programmes
All benefits are subject to change at the discretion of NUS School of Computing.
Certificate
Upon successful completion of the programme, participants will receive a verified digital certificate from the NUS School of Computing.
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the NUS School of Computing.
Frequently Asked Questions
The NUS SOC Chief Data and AI Officer Programme is designed for senior professionals seeking to lead digital transformation projects. It covers AI strategies, data analytics, and innovation, providing participants with practical skills and tools to implement successful digital initiatives.
The NUS SOC Chief Data and AI Officer Programme is open to professionals with minimum 10 years of work experience. It is aimed at seasoned executives, senior professionals, and business leaders looking to advance their careers.
The NUS SOC Chief Data and AI Officer Programme develops executive presence by offering modules on team management, effective communication, and leadership skills, ensuring that participants are equipped to lead organisational change.
The NUS SOC Chief Data and AI Officer Programme lasts 32 weeks, offering a comprehensive learning experience that combines flexibility and depth through online delivery.
Yes, the NUS SOC Chief Data and AI Officer Programme is delivered entirely online, featuring a blend of pre-recorded video lectures and live sessions with faculty and industry experts to accommodate working professionals.
The curriculum of the NUS SOC Chief Data and AI Officer Programme covers five pillars: data foundations, strategic levers, intelligent technologies and scalable AI, risk management, and executive leadership. It provides a holistic understanding of data strategy and leadership in a digital world.
Upon successful completion of the programme, participants will receive benefits Invitations to selected NUS events, access to NUS School of Computing's Executive Education newsletters and webinars, up to 15% savings on School of Computing's non-funded Executive Education programmes.
A Chief Data Officer (CDO) oversees an organisation's data strategy, ensuring that data is managed effectively as a strategic asset. The NUS SOC Chief Data and AI Officer Programme teaches participants to align data management practices with business goals, driving growth and innovation.
Participants in the NUS SOC Chief Data and AI Officer Programme have opportunities to connect with global leaders during a campus immersion and networking event, fostering industry connections and professional growth.
The capstone project allows participants to apply their knowledge to real-world scenarios, solving business challenges using data and AI strategies learned during the programme.
A Chief Digital Officer (CDO) is responsible for managing and executing digital transformation strategies in a company. This role involves integrating digital technologies, enhancing business processes, and driving innovation. The NUS SOC Chief Data and AI Officer Programme equips participants with the skills to excel as CDOs, focusing on AI, data strategy, and business transformation.
The NUS SOC Chief Data and AI Officer Programme costs US$11,000. Payment options include paying in full or spreading payments over four installments, providing flexibility for participants.
Early registrations are encouraged. Seats fill up quickly!
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