Explore how AI is transforming talent management. Learn to apply HR data, AI-powered recruitment tools, and people analytics for hiring, training, and retention—while understanding ethical and legal implications in modern HR.
Overview
This forward-looking module delves into Talent Management and Human Resources (HR) in the modern era, emphasizing how AI and digital tools are transforming the way organizations manage their most valuable asset – people. Students will learn the fundamentals of talent management, including workforce planning, recruitment and selection, training and development, performance management, and employee retention strategies. For each of these areas, the module highlights AI applications and data-driven approaches: for instance, using AI-powered recruitment software to screen candidates, employing people analytics to gauge employee engagement, or personalized learning platforms for staff development. The curriculum also addresses critical considerations such as ethical use of AI in HR (avoiding bias and ensuring privacy). By understanding both traditional HR practices and cutting-edge AI tools (sometimes called HR Tech or People Analytics), students will be prepared to contribute to building effective, tech-enabled talent infrastructure in any organization.
The Details
FOR SKILLSFUTURE CLAIMS
Registered Title: (AI Application in Talent infrastructure
(Classroom & Asynchronous))
TPGateway Code:
total hours
32:00
Mode of Learning
On Campus
Curriculum
Course Duration
SSG Approved Training & Assessments Hours:32:00Trainer Facilitated Hours (On Campus/Virtual):23:00Self-Directed E-learning Hours:04:00Assessment Hours:05:00
Programme Objectives
Upon completion of this module, students will be able to:
Explain key components of talent management – from hiring and onboarding to training, performance evaluation, and retention – and why they are vital to organizational success.
Utilize HR data and analytics to inform talent decisions, such as interpreting turnover metrics or employee satisfaction data to improve HR strategies.
Evaluate AI tools in HR processes, understanding how technologies like Applicant Tracking Systems (ATS), AI interview bots, or performance analytics platforms can improve efficiency and outcomes in recruitment, development, and workforce planning.
Design basic talent management initiatives (e.g., a recruitment plan or training program), integrating AI solutions where appropriate to enhance effectiveness.
Discuss ethical and legal considerations related to AI in HR, including issues of algorithmic bias, data privacy, and maintaining a human touch in talent management.
Course Topics
Talent Management Fundamentals
Learning Outcome: Overview of HR functions – job design and workforce planning; recruitment and selection processes; onboarding and training; performance management systems (appraisals, KPIs); and strategies for employee engagement and retention.
HR Information Systems & Analytics
Learning Outcome: Introduction to Human Resource Information Systems (HRIS) used to store employee data; people analytics concepts (using data to drive HR decisions, e.g., analyzing why attrition is high in a department); HR dashboards and key HR metrics.
AI in Recruitment & Selection
Learning Outcome: How AI improves recruiting – e.g., resume screening algorithms to filter candidates, chatbots to answer applicant queries, video interview platforms using AI to assess communication skills. Discussion of case studies where companies significantly reduced hiring time using AI tools.
AI in Training & Development
Learning Outcome: Personalized e-learning platforms that use AI to adapt to an employee’s learning pace, virtual reality for immersive training experiences, and AI mentors or chatbots for ongoing employee coaching.
Performance Management & AI
Learning Outcome: Using data to track performance (sales figures, project delivery times, etc.), AI tools that predict high performers or flight risks (employees likely to leave), and software that provides continuous performance feedback.
Ethics and Challenges
Learning Outcome: Addressing concerns like bias in AI recruitment (ensuring algorithms do not discriminate against certain groups), employee privacy with monitoring tools, transparency in how AI decisions are made. Emphasis on the importance of human oversight and combining AI insights with manager judgment.
Future of Work
Learning Outcome: A brief look at how automation and AI are changing job roles and the skills needed, and how HR must adapt (e.g., focus on reskilling and managing remote/distributed teams with digital tools).
To enrol, you must fulfil the following requirements
1
AGED 16 YEARS AND ABOVE
and
2
GCE ‘O’ LEVEL CREDITS WITH MINIMUM GRADE C6 FOR 3 SUBJECTS, INCLUDING ENGLISH AND MATHEMATICS;
OR
3
WSQ ADVANCED CERTIFICATE IN ANY FIELD;
OR
4
ADVANCED CERTIFICATE IN A BUSINESS MANAGEMENT – RELATED FIELD (E.G., ACCOUNTING, PROJECT MANAGEMENT, HUMAN RESOURCES, ETC.) FROM ANY PRIVATE EDUCATION INSTITUTION (PEI);
OR
5
HIGHER NITEC
and
6
ALL STUDENTS ARE REQUIRED TO HAVE BASIC KNOWLEDGE OF COMPUTER AND MICROSOFT OFFICE.
Graduation
To graduate, you must fulfil the following requirements
1
International Students
To enrol, you must fulfil the following requirements
1
AGED 16 YEARS AND ABOVE
and
2
FORMAL INTERNATIONAL YEAR 10 EDUCATION;
OR
3
QUALIFICATIONS FROM PROFESSIONAL INSTITUTES MAY BE CONSIDERED ON A CASE-BY-CASE BASIS;
and
4
PASS TEMBUSU ENTRANCE TEST
and
5
English Requirements: Possess a minimum credit in English at GCE ‘O’ Level or its equivalent OR IELTS score 5.5 or TOEFL score 46
OR
6
PASS TEMBUSU'S ENGLISH TEST
and
7
ALL STUDENTS ARE REQUIRED TO HAVE BASIC KNOWLEDGE OF COMPUTER AND MICROSOFT OFFICE.
Graduation
To enrol, you must fulfil the following requirements
