Human Resource Management with AI
Round Application Deadline
Upcoming deadline: Invalid liquid data
Programme Overview
The Human Resource Management with AI programme by NUS Business School is designed to bridge this capability gap. Over 18 weeks, participants gain hands-on experience with AI tools, analytics, and frameworks to lead data-driven transformation in their organisations. Through a blend of expert-led learning and real-world application, this programme empowers HR professionals to make confident, evidence-based decisions, align talent strategy with business outcomes, and stay ahead in a rapidly expanding HR tech landscape.
9.2% CAGR
More than 80%
Programme Highlights
Pre-Recorded Video Lectures
Pre-recorded videos by NUS faculty with interspersed live sessions
Tool-Based Learning
Gain practical, hands-on experience, preparing you for real-world problem-solving.
Modules on AI and Generative AI
Understand the application of AI in HR management.
Real-World Case studies
Engage in case study discussions for real-world HR strategies.
Faculty-Led Live sessions
Gain cutting-edge insights from NUS Business School faculty and industry experts.
Capstone Project
The one-week capstone project allows you to apply the concepts learned in real-world scenarios.
Prestigious certification
Earn a certificate from Asia’s top-ranked institute.
Learn from Renowned Faculties
Access expert guidance from NUS faculty who are global leaders in analytics, operations, HR, and risk.
Growing domain
Gain a deeper understanding of HR, along with hands-on experience of AI-driven strategies, tools, and emerging workforce trends.
Why Enrol for the Programme?
This programme addresses these evolving demands by equipping HR professionals with the strategic mindset and technical expertise to lead digital transformation, harness workforce analytics, and implement AI-powered HR practices that deliver measurable impact. It’s designed to future-proof your HR capabilities in an increasingly AI-driven world.
83%
90%
What Will This Programme Do For You?
Develop AI-driven HR strategies to align HR functions with organisational goals.
Apply data analytics and AI tools to enhance HR decision-making and operational efficiency.
Lead digital HR transformation initiatives to modernise processes and improve employee experience.
Implement AI-powered talent management practices to attract, onboard, and retain high-performing teams.
Design learning and development programs using AI and analytics to drive engagement and continuous learning.
Integrate diversity and inclusion metrics to foster an inclusive and collaborative workplace.
Demonstrate HR leadership capabilities to inspire change and influence stakeholders in an AI-enabled environment.
Who Is This Programme For?
Mid to senior-level HR professionals seeking to lead HR transformation by leveraging AI, Generative AI, and analytics within their organisations.
Senior HR leaders aiming to strategically drive AI and analytics-led HR transformation while aligning talent management with broader organisational goals.
Modules
Module 1: Introduction - AI and Analytics in HR
Introduction to the HR function
HR strategy and analytics; why analytics is important for HR
AI-driven HR strategy and its importance
Digital transformation in the HR function
Performance and feedback
Module 2: Introduction to Statistics for the HR
Introduction to statistics for the HR
Data gathering and management
Module 3: Data-Driven HR Strategy: Part 2
HR metrics and dashboarding of KPIs
HR valuations
Module 4: Digital Transformation in HR
Digital change management
Creating and building employee experiences
Tools for HR transformation
Module 5: Talent Management: Part 1
Strategic recruitment and workforce planning
Talent acquisition and retention analytics
Module 6: Talent Management: Part 2
Onboarding and culture fit
AI for talent management
Module 7: Learning and Development: Part 1
Training, developing, and coaching talent and successors
Employee engagement and learning and development analytics
Module 8: Learning and Development: Part 2
AI for learning and development
Module 9: Performance Evaluation & Management: Part 1
Purpose and process of evaluation
Establishing evaluation criteria
Module 10: Performance Evaluation & Management: Part 2
Managing challenges with employees
Performance management analytics
Module 11: Strategic Rewards and Benefits
Approaches to reward management
Reward policies to support strategic organisational goals
Employee benefits, sales compensation, and executive pay arrangements
Return on investment (ROI) of benefit plans
Module 12: Cross cultural & diversity management
Employee Wellness
Collaboration Analytics
Diversity and Inclusion Metrics
Module 13: AI Applications in HR: Part 1
Introduction to AI for HR
Applications of AI in HR
AI in recruitment and performance management
Module 14: AI Applications in HR: Part 2
Chatbots and virtual assistants
Predictive analytics and sentiment analytics
Module 15: Generative AI in HR: Part 1
Introduction to generative AI in HR
AI tools for the HR
Prompt engineering and fine-tuning for HR
Module 16: Generative AI in HR: Part 2
Governance and Oversight in Responsible AI
Policies, Compliance, and Trust Metrics
Embedding a Responsible AI Culture
Module 17: HR Leadership
Inspirational values, culture; and communications – how to enable organisations
Leadership communication and influence in the connected world
Executive presence and influence
Capstone Project
Apply your learning to solve real-world business challenges in a one-week intensive capstone project designed to simulate executive-level decision-making.
Practice. Apply. Transform.
AI spotting exercise
Sentiment dashboard creation
Peer coaching role-play
ASMART rewriting lab
Inclusion index lab, DEI storytelling workshop
Workflow sketching
Craft short leadership stories
Interactive Learning in Action
Unilever's chatbot for recruitment automation
PepsiCo's sentiment tracking to predict attrition
EY's Personalised learning nudges
Salesforce's pay transparency strategy
Johnson & Johnson's inclusive wellness
SAP's Joule copilots for HR workflows
Note: All product and organisation names mentioned in these materials are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.
The use cases will be delivered by the faculty and industry practitioners, by linking to relevant knowledge bases for your reference and self-guided learning.
Programme Faculty
Jussi Keppo
Head of the Department of Analytics & Operations (DAO) and Director of the Institute of Operations Research and Analytics (IORA) at NUS Business School and Research
Jussi Keppo teaches risk management and analytics at the NUS Business School, where he also leads several executive education programmes in analytics. Before joining the Natio...
Lowe Joo Yong
Senior Lecturer with the Department of Management & Organisation (MNO), NUS Business School.
Lowe Joo Yong has been with the National University of Singapore since 1998 and previously served as head of the Human Resource Management Unit from 2012 to 2014. An alumnus o...
Tan Hong Ming
Senior Lecturer in the Department of Analytics and Operations (DAO) and Research Fellow at the Institute of Operations Research and Analytics (IORA) at NUS Business School, National University of Singapore.
TAN Hong Ming oversees departmental administration while teaching and coordinating courses across multiple programs, including the Undergraduate, MBA, Executive MBA, MSc in Bu...
Certificate
Upon successful completion of the programme, participants will be awarded a verified digital certificate by NUS Business School.
Note:
All certificate images are for illustrative purposes only and may be subject to change at the discretion of the NUS Business School.
*Emeritus or the institute does not guarantee availability of any live faculty session recordings.
About NUS Business School
Founded in the same year that Singapore gained independence, NUS Business School stands today among the world’s leading business schools. It is distinctive for offering the best of global business knowledge with deep Asian insights, preparing students to lead Asian businesses to international success and to help global businesses succeed in Asia.
1st
8th
Emeritus Career Services
Stepping into a business leadership career requires a variety of job-ready skills. Below given services are provided by Emeritus, our learning collaborator for this program. The primary goal is to give you the skills needed to succeed in your career; however, job placement is not guaranteed. Emeritus provides the following career preparation services:
Resume building videos
Interview preparation videos
Linkedln profile building videos
Interview guidebooks
Glossary of resume templates
Please note: NUS or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. NUS is not involved in any way and makes no commitments regarding the Career Services mentioned here
The Learning Experience
What is it like to learn with the learning collaborator, Emeritus?
More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.
A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
FAQs
Are there any LIVE sessions with the institute faculty in this course?
Yes, Live sessions by the industry experts and NUS faculty. Apart from this, the remaining lectures would be high-quality pre-recorded sessions to give flexible learning, given the time constraints of working professionals.
Who grades/gives input on the assignments and projects?
Assignments will be graded by industry practitioners who are available to support participants in their learning journey, and/or by the Emeritus grading team.
What if I miss the assignments for a particular week? Can I attempt them later?
An assignment that is not submitted by the due date is late. Late assignments will be accepted until one week after the programme end date, which is published on the programme homepage.
Who is the faculty for the LIVE Online sessions/Doubt Clearing sessions?
LIVE seasoned Industry professionals who have real-world session experience in the domain. Doubt-clearing sessions are carried out by the Programme Leaders, as they monitor individual student progress.
Will Emeritus/Institute help with placement services?
This course is designed with some of the best faculty and to cover relevant topics in a manner that creates positive career outcomes. As an additional service, we provide resume writing guidance, navigating the job search, and interview prep, along with this course. However, we do not offer placement services with our courses.
What if I don’t find the course appropriate for me after starting the sessions? Can I seek a refund?
We encourage learners to complete the course to fully understand the concepts and derive valuable learning outcomes. However, if you still choose to withdraw, you may request a full refund within 7 days of payment or 14 days after course commencement — whichever comes later. After this period, the course fee becomes non-refundable.
What type of certificate will I receive?
Upon successful completion of the programme, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the programme, once grading is complete.
How long will I have access to the learning materials?
You will have access to the online learning platform and all the videos and programme materials for 12 months following the programme start date. Access to the learning platform is restricted to registered participants per the terms of the agreement.
Is this programme eligible for SFC (SkillsFuture credit)?
No, this programme is not eligible for SFC (SkillsFuture credit) because our programmes are curated as per global market research, which caters to global participation.
This Programme Summary is provided only for your convenience. You are advised to refer to the Programme Brochure for more information.
Early registrations are encouraged. Seats fill up quickly!
Flexible payment options are available.
Starts On