Program Overview

Program Overview

The NUS MSc in Human Capital Management and Analytics is a part-time program delivered intensively over four semesters, including a practicum component. The program requires the completion of 44 units to graduate.

Program Structure

The program is structured over 24 months, with the following semester breakdown:

• Year 1:
  • First Semester: 3 courses (12 units)
  • Vacation:
  • Second Semester: 3 courses (10 units)
• Year 2:
  • Third Semester: 2 courses (6 units)
  • Practicum:
  • Fourth Semester: 3 courses (8 units)

Courses

The program includes the following courses:

• People Analytics (4 units)
• Quantitative Methods for HR (4 units)
• Talent Management (4 units)
• Compensation and Performance Management (4 units)
• Labour and Employment Law (2 units)
• Talent Assessment & Selection (4 units)
• Artificial Intelligence for HR (4 units)
• HR Technology (2 units)
• HR Consultancy Practicum (8 units)
• Ethics in Human Resource (2 units)
• HR as Strategic Partner for Growth and Transformation (2 units)
• Negotiation and Dispute Resolution (4 units)

Course Descriptions

People Analytics

This course introduces students to the cutting edge of how people can be organised using analytics. It brings scientific understanding and methods into improving the management of people, enabled by a combination of theoretical advances and the increased availability of computational power and data as a result of digitalisation.

Quantitative Methods for HR

This course provides students with the necessary knowledge and understanding needed to design sound research projects for internal organisational purposes and to critically appraise published work in the areas of human resource management and organisational behaviour.

Talent Management

This course introduces students to the fundamentals of Talent Management, challenging them to critically think about, discuss, and evaluate the complexities of managing talents within and beyond organisations.

Compensation and Performance Management

This course addresses how organisations use compensation and performance management practices to drive strategic business success, examining how recent theoretical and research developments inform compensation decisions and performance management.

Labour and Employment Law

This course aims to make HR practitioners aware of the kinds of legal issues that can arise in the employment context, with a comparative/international focus.

Talent Assessment & Selection

This course is a key component of human capital management, focusing on talent assessment and selection.

Artificial Intelligence for HR

This course introduces students to the key concepts in AI, equipping HR managers with the vocabulary and understanding to interact with the technology function in their organisations.

HR Technology

This course provides students with a comprehensive exploration of how technology can enhance the effectiveness and efficiency of the Human Resources function.

HR Consultancy Practicum

The goal of this experiential learning is to enable part-time students to apply HR management and analytics concepts and theories to real-world HR issues faced by organisations.

Ethics in Human Resource

This course focuses on developing students' ability to understand and manage ethical conduct and social responsibility in business organisations.

HR as Strategic Partner for Growth and Transformation

This course introduces students to the importance of implementing business strategies through people strategies, building on cross-disciplinary research to help students form a more strategic perspective on the impact they can play in today's complex and dynamic businesses.

Negotiation and Dispute Resolution

This course highlights the components of effective negotiation, teaching students to analyse their own behaviour in negotiations and develop their skills through experiential learning.

Requirements for Completion and Graduation

To graduate from the program, students must complete the program requirements and achieve a Grade Point Average (GPA) of at least 3.2 (out of 5.0). Failure to maintain a GPA of 3.2 may result in dismissal from the program.