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Advanced Data Science for HR Professionals

Part of the ModularMaster in Digital HR programme

Business decisions are based on data. In order to make correct business decisions, this data must be sourced and collected in a reliable, representative way, analysed in a statistically proven manner and presented with means that support clear deductions. HR professionals have the responsibility to acquire, transform and analyse HR related data and prepare manpower decisions in an unbiased and strong manner.

Data Science for HR Professionals covers advanced social research methods and designs, i.e. qualitative/quantitative study, research scoping, hypothesis, construct survey instrument, etc. Participants will learn an additional range of statistical methods such as logistic regression and factor analysis, as well as data mining models, including artificial intelligence and decision machine approaches (e.g., association analysis, neural networks and decision trees), for analysing and interpreting data. Participants will develop a theoretical knowledge and practical experience of handling research or business data.

The topic will also involve directed and independent study as a necessary component in the development of the participants’ understanding and skills development. Participants will undertake individual assignments based on the case provided. Participants are expected to prepare a report covering two distinct areas:

  • design and appraisal of a questionnaire, considering also the practicalities of data collection; and
  • a statistical analysis of a business data set with full interpretation of the results.

Course Details

Course Dates:

July (16, 23, 24, 30) and August (25) 2020

Sign up before 26 June 2020.

5 days
9.00AM to 5.00PM


Who Should Attend

  • SME Business Owners
  • HR Leaders
  • HR Business Partners

Programme Outline

Learning Objectives
  1. Understand what Data Analytics is, how it is used and where it can be applied in HR
  2. Prepare, analyse, identify business insights, and apply data science and data analytics on common HR data such as:
    • Employee Engagement Surveys;
    • Workforce Planning Analytics, Leave Likelihood Analysis;
    • Compensation and Benefit data;
    • Employee performance;
    • Exit interviews, etc.
  3. Develop, evaluate testing methods for statistical models
  4. Perform parametric and non-parametric Hypothesis Testing
  5. Perform correlation analysis and multiple regression on HR data
  6. Present the outcome of graphical and statistical analysis to the senior management in a clear and concise manner
  • Scoping the Data Science Project
  • Quantitative and Qualitative Data
  • Data Sources and Collection Methods
  • Descriptive Statistics and Data Analytics with R
  • Graphical Data Analysis for HR with R
  • Statistical Analysis for HR with R
  • Hypothesis Testing for HR with R
  • Regression Analysis for HR with R
  • Test
  • Project work
Subject Credits

Upon completion and satisfying the requirements of passing this course, learners will be awarded 12 subject credits.

Course Fees and Funding

SkillsFuture Course Fee Subsidy

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Mid-career Enhanced Subsidy (MCES) (90%)

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Enhanced Training Support for SMEs (ETSS) (90%)

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Workfare Training Support (WTS)

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Full Course Fee (without subsidies): $4,280 (inclusive of prevailing GST)


Dr Uwe Kaufmann
Adjunct Senior Fellow at SUTD Academy
Managing Director at Centre for Organisational Effectiveness

Dr Kaufmann holds a PhD in Mechanical Engineering. He has more than twenty years of experience in implementing organisational improvements and changes in a wide range of industries. This includes private organisations such as Alstom, Aon, Armstrong, Bao Steel, Bosch, Bosch Siemens Home Appliances, Flextronics, Johnson & Johnson, JP Morgan, Schneider Electric, DB Schenker, Siemens, TCL, TRW, Wilmax Systems; as well as Public Service agencies such as ISCA, MSF, MFA, MinDef, MOF, MOH, MOM, MTI, IE Singapore, Muis and the Kingdom of Tonga.

Ms Amy Tan
Adjunct Senior Fellow at SUTD Academy
Director & Partner at Centre for Organisational Effectiveness

Amy holds a Bachelor Degree in Engineering (Electrical & Electronic Engineering) and a Master of Science (with Distinction). She has more than 20 years of experience in HR Management, Organisational Development, Performance Management and Leadership Development in various industries. Amy has held senior leadership positions with Nokia, Aon, Ministry of Manpower and Singapore 2010 Youth Olympic Games Organising Committee. She has led the transformation of the HR functions and several organisational development initiatives for these organisations.

Amy is certified as Lean Six Sigma Black Belt and is an accredited practitioner in executive coaching and psychological instruments such as MBTI (Myers Briggs Type Indicator®), DiSC, Harrison Assessment and Belbin Team Roles.

She is currently a PhD candidate with the University of Twente, The Netherlands. Her research focus is on change management and organisational behaviour related to innovative job performance.

Financing Options

SSG Funding Terms and Conditions

Use of Personal Details

In consideration of the subsidy provided by SkillsFuture Singapore Agency (“SSG”) through the SUTD Academy for the Course,

I consent to:

The collection, use and disclosure to relevant third parties of my personal data by the SUTD Academy including but not limited to personal particulars, attendance records, assessment/performance records, for the following purposes:

  1. Reporting of national statistics and conducting of holistic continuing education training research and analysis;

  2. Facilitate the conduct of the relevant surveys and audits in relation to the Course;

  3. General administration of the Course including but not limited to processing of the subsidy provided by SSG;

  4. Publicity and marketing of the Course or other Courses to be provided by SSG or SUTD Academy; and

  5. SSG or its Appointed Auditors or Nominated Representatives to directly contact Course Participant to obtain information deemed necessary for the purposes of conducting effectiveness survey or audits in relation to the Course.

I agree to:

  1. Attend and complete all lectures, class exercises, workshops and assessments;

  2. Complete the Course feedback at the end of the Course;

  3. Complete the post Course survey sent about 3 to 6 months after class attendance; and

  4. Sign up for a personal email account.

SUTD Privacy Statement

For more information on SUTD's privacy statement, please visit

SUTD Terms and Conditions

Methods of Payment

Learn more about the available payment modes.

Cancellation & Refund Policy

  1. If a written notification is sent to within 24 hours after course registration deadline there will be no cancellation charges. A full refund will be made. 

  2. No refund is provided if written notification is more than 24 hours after course registration deadline. SUTD Academy reserves the rights to collect the full fee amount from the participant.

Replacement Policy

Companies may replace participants who have signed up for the course by giving a 3-working day notice before the course commencement date to Terms and conditions apply.

Registration Policy

  1. Course may be cancelled due to insufficient participants. SUTD Academy will not be responsible or liable in any way for any claims, damages, losses, expenses, costs or liabilities whatsoever (including, without limitation, any direct or indirect damages for loss of profits, business interruption or loss of information) resulting or arising directly or indirectly from any course cancellation.

  2. Course enrolment is based on a first-come, first-served basis.

  3. SUTD Academy reserves the right to change or cancel any course or instructor due to unforeseen circumstances. 

Types of Funding

Funding under Mid-Career Enhanced Subsidy ("MCES")

  1. MCES is an enhanced Subsidy to encourage mid-career individuals to upskill and reskill, thereby helping them to remain competitive and resilient in the job market. With this, all Singaporeans aged 40 and above will receive higher subsidies of up to 90% course fee subsidy for SSG-funded certifiable courses.

  2. Individuals/employers are not required to submit an application for the MCES. Those pursuing SSG-funded programmes will be charged the appropriate subsidised fees by SUTD Academy if they are eligible MCES. Individuals/employers will only need to pay the nett fee (full course fee after SSG's grant).

    For more info, please visit  SkillsFuture website at

Funding under Enhanced Training Support for SMEs ("ETSS")

  1. ETSS is an enhanced funding to enable SMEs to send their employees for training.

  2. SMEs will enjoy subsidies of up to 90% of the course fees when they sponsor their employees for SSG-funded certifiable courses.

  3. In addition to higher course fee funding, SMEs can also claim absentee payroll funding of 80% of basic hourly salary at a higher cap of $7.50 per hour. SMEs may apply for the absentee payroll via the SkillsConnect system.

  4. To qualify, SMEs must meet all of the following criteria:
    - Organisation must be registered or incorporated in Singapore
    - At least 30% local shareholding by Singapore Citizens or Singapore Permanent Residents
    - Employment size of not more than 200 (at group level) or with annual sales turnover (at group level) 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

    For more info, please visit SSG website at

Funding under Workfare Training Support ("WTS")

To qualify, individuals must meet the following criteria:

  1. Be a Singapore Citizen; and

  2. Aged 35 years and above (13 years and above for Persons With Disabilities); and

  3. Earn a monthly income of not more than $2,000.

  4. Training allowance is only available for individuals who pay for their own training.

  5. Individuals can apply at any of WSG's Careers Connect or NTUC's e2i centres up to 30 days (including weekends and public holidays) before or after the start of the course.

    For more info, please visit WSG website at

Funding under Union Training Assistance Programme ("UTAP")

UTAP is a training benefit for NTUC members to defray their cost of training. This benefit is to encourage more union members to go for skills upgrading.

NTUC members enjoy 50% unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP (Union Training Assistance Programme).

For more info, please visit