Certified HR Analytical Professional
- Analytics & Tech
- Human Resource
5 Days
Who Should Attend
This programme is designed for HR professionals who have a foundation in quantitative analysis. For instance, taken statistics and quantitative research modules (e.g. Marketing Research) during undergraduate degree studies.
Participants who had attended and successfully completed the HR Analytics Certificate: Using Analytics to Improve People Decisions (Foundation Level) or Analytics for Management Decisions programme offered by SMU Academy would be deemed to have met the entry requirements for this advanced level programme. Please note that the programme facilitator will not be addressing basic statistical concepts in this programme.
Overview
Learning Objectives
To fully leverage on the power of analytics for HR decision making, HR practitioners need to be equipped with the competency in order to undertake the work. Competency levels may be classified as foundation level, which allows the practitioner to undertake most descriptive data analyses, and advanced level, which allows for analyses that yield predictive and prescriptive insights. Insights of the latter forms are the most useful and can translate into the greatest competitive advantage for companies.
Programme Objectives
Objective 1:
To raise the competency level of HR practitioners to an advanced level so that they can leverage on an array of analytical tools suitable for decision making in the HR context. More specifically, the application of advanced analytical tools taught in this programme will allow insights to be obtained that will benefit companies in the following ways:
- To assess the ROI of HR initiatives. Additionally, knowing the ROI of initiatives enable the practitioner to focus only on initiatives that yield the best outcomes for the organisation.
- To identify the key factors (traits) that discriminate between high performers and weak performers in every function e.g. sales function. This raises recruitment effectiveness and also allows resources to be channelled to those with the highest potential.
- To identify key organisational influences that impact employees’ satisfaction and engagement. Such insights allow for the development of positive work climates which will lead to higher individual performance and, consequently, organisation success. Additionally, this will also lead to lower employment turnover and, consequently, reduce insurance premiums.
- To develop behavioural key performance indicators for employees in various functions by linking customer satisfaction to employee behaviour.
- To raise customer satisfaction by applying insights to improve employee-customer interaction quality. For instance, better matching of relationship managers in a bank with clients of different profiles, and better matching of customer-facing retail staff with a company’s various customer groups in different retail departments.
Objective 2:
The highly competitive business climate today demands that the best employees are recruited. To this end, companies often rely on psychometric profiling of employees to identify traits suitable for certain job functions. On its own, the use of psychometric profiles may be inadequate for such purposes. The use of data modelling methods addressed in this programme aims to develop better employee performance models by using psychometric profile data as one of the many input sources, in addition to demographic characteristics, employment history, preferences etc. to develop good predictive models to aid recruitment, and job matching functions.
Objective 3:
To provide participants with the knowledge and skillsets in helping them conceptualise analytics application for HR confidently. Participants will develop their thoughts in this area through an exposure to HR analytics practices of companies and the discussion of HR cases used in the programme.
Topic/Structure
This is a highly interactive programme where class sharing, discussion and exercises will be employed alongside with analytical softwares (SPSS and WrapPLS) hands-on practices to help participants gain a good grasp of HR analytics.
Programme Outline
- The application of advanced level analytics in the HR contexts
– Catergorisation of HR analytics
– HR questions addressed with higher level analytics
– Linking HR practices and business outcomes
- Development of advanced level analytical competencies (hands-on with SPSS, WarpPLS and PERMAP). Gaining competences in these areas will allow the benefits mentioned in the programme objectives to be achieved. The coverage of the scope of analyses includes but are not limited to the following:
– Factor Analysis
– Multiple Regression Models (with and without latent constructs)
– Conjoint Analysis and Best-Worst Scaling Models
– Logistic Regression Analysis
– Perceptual Mapping
– Structural Equation Modelling
- Translation of HR issues into analytical issues (development of analytical thinking). This development will be in the form of presentations by the instructor, case studies discussed by participants and the reflection of how analytical methods can be used in their companies.
Assessment
Participants have to meet a minimum attendance rate of 75% and have to complete all assessment(s) required by the course. Only upon meeting the minimum attendance and passing the assessment will participants be issued a Certificate of Completion.
Participants who fail the assessment will be given a chance for re-assessment at a fee of SGD100.00 (excluding prevailing GST). Each participant is allowed 1 re-assessment. The re-assessment has to be taken within 7 calendar days from the end of the course date. It will be held on a weekday specified by SMU Academy and conducted during office hours. Please note that re-assessment fees are not supported by SSG Funding.
Participants who meet the minimum attendance rate but do not achieve a pass for the assessment will be issued a Certificate of Participation.
SMU will provide laptops pre-loaded with analytics software to all course participants.
Calculate Programme Fee
Fee Table
COMPANY-SPONSORED | |||
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$1,585.95 (After SSG Funding 70%) |
$615.95 (After SSG Funding 70% |
$1,585.95 (After SSG Funding 70%) |
Singapore Citizen ≥ 40 years old |
$615.95 (After SSG Funding 70% |
$615.95 (After SSG Funding 70% |
$615.95 (After SSG Funding 70% |
International Participant |
$5,286.50 (No Funding) |
$5,286.50 (No Funding) |
$5,286.50 (No Funding) |
All prices include 9% GST
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
Intake Information
Intake 15 | 5 - 9 May 2025 (9.00am – 6.00pm) | Open for Registration |
Testimonials
Additional Details
Certified Professional Business Manager (CPBM)
This programme is part of Certified Professional Business Manager. Participants who successfully complete 6 courses/modules with a minimum of 15 training days, from a list of qualifying programmes (terms and conditions apply) within 5 years will receive the Certified Professional Business Manager (CPBM). For example:
Please click here for CPBM details and list of qualifying programmes.