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Masters

MSc in Human Capital Management and Analytics

National University of Singapore
Singapore , Singapore
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Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
On campus
Duration
12 months
Details
About Program
About University
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Details
Program Details
Degree
Masters
Major
Human Resources | Artificial Intelligence | Data Analysis
Area of study
Business and Administration | Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
About Program

Program Overview

Program Overview

The NUS MSc in Human Capital Management and Analytics programme is a 12-month full-time programme that includes an experiential learning component. Students are expected to complete 44 units to graduate.


Program Structure

The programme is structured over 12 months, with students learning from distinguished faculty members with recognised expertise in their fields, alongside talented peers and colleagues from diverse cultures and backgrounds.


Courses

The programme consists of the following courses:


  • Artificial Intelligence for HR (4 Units)
  • Communication for HR Professionals (2 Units)
  • HR technology (2 Units)
  • People Analytics (4 Units)
  • Quantitative Methods for HR (4 Units)
  • Talent Management (4 Units)
  • Experiential Learning (4 Units)
  • Compensation and Performance Management (4 Units)
  • Ethics in Human Resource (2 Units)
  • HR as Strategic Partner for Growth and Transformation (2 Units)
  • Labour and Employment Law (2 Units)
  • Leading and Managing Difficult Employees (2 Units)
  • Negotiation and Dispute Resolution (4 Units)
  • Talent Assessment & Selection (4 Units)

Experiential Learning

Through an individual industry internship, faculty research project, or HR consultancy project, students will engage in experiential learning in analysing and solving problems faced by peers in the HR industry.


Requirements for Completion and Graduation

To graduate from the programme, students must complete the programme requirements and achieve a Grade Point Average (GPA) of at least 3.2 (out of 5.0).


Graduation Requirements

In the event that a student is unable to maintain a GPA of 3.2 and above, the following scenarios may occur:


  • If the GPA is less than 3.2 but more than 2.5, the student will receive an initial warning. This will lead to dismissal from the programme should the GPA remain below 3.2 for the third consecutive semester.
  • If the GPA is 2.5 or below for two consecutive semesters, the student will automatically be dropped from the programme.

Curriculum

The curriculum is subject to changes. The University reserves the right to revise the curriculum.


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