NICF- Managing Business Analytics Projects

Overview

Business Analytics has earned a place as one of the core disruptors of the digital age. Many companies’ business analytics initiatives have moved to production, with some proven success, and now there is a continuing push to leverage new data technologies to power business intelligence. Many government agencies and private companies have jumped on this bandwagon and are heavily investing in business analytics projects to gain new insights in order to acquire a competitive edge to serve their customers and citizens.

According to Gartner Research, the worldwide market for analytics will remain the top focus for CIOs through 2017. This report cited that more than 30% of organisations have invested in analysing “big data” but only a quarter (8% of the total) have made it into production! It remains as a major challenge for those tasked to deliver and implement these analytical capabilities and programmes successfully.

This course brings together latest thinking and best practices from the various domains of Agile, Lean and Traditional project management to equip business analytics teams with the knowledge and skills to effectively and successfully manage business analytics projects.

Upon successful completion of this course, you will earn 19.25 PDUs (Technical: 11.5, Leadership: 5, Strategy: 2.75) that can be used to maintain your PMP® credential. Note that for the purpose of PDU reporting by those with PMP® credentials, the PMI REP Provider Number of ISS is “2339”.

This course is part of the Product & Project Management Series offered by NUS-ISS.



Upcoming Classes

Class 1 27 Mar 2019 to 29 Mar 2019 (Full Time)

Duration: 3 days

When:
Apr:
15, 16, 17
Time:
9:00am - 5:15pm

Class 2 03 Jun 2019 to 06 Jun 2019 (Full Time)

Duration: 3 days

Time:
09:00am to 05:00pm

Class 3 22 Jul 2019 to 24 Jul 2019 (Full Time)

Duration: 3 days

Time:
09:00am to 05:00pm

Class 4 11 Nov 2019 to 13 Nov 2019 (Full Time)

Duration: 3 days

Time:
09:00am to 05:00pm

Class 5 10 Feb 2020 to 12 Feb 2020 (Full Time)

Duration: 3 days

Time:
09:00am to 05:00pm



Key Takeaways

On completion of the course, the participants would be able to:

  • Understand the unique nature and challenges of business analytics projects
  • Learn how to correctly perform inception for a business analytics project
  • Learn how to choose and adapt the different project lifecycles, especially agile practices for your project
  • Develop the initial and subsequent iterative plans for your project
  • Learn how to manage the construction phase
  • Understand the considerations for retrospective and transition requirements



Who Should Attend

The course has been designed for:

  • Primarily Project Managers, data scientists, IT and business professionals sponsoring, managing and participating in business analytics projects
  • Those who have an active interest in managing the various types of business analytics projects including Text, Predictive and Customer Analytics



What Will Be Covered

  • Introduction to Business Analytics Projects
  • Project Inception/Initiation
  • Project Execution/Construction
  • Retrospective and Transition

Format

Lectures and workshops




Fees & Funding

Self-sponsored

International Participants

S'poreans and PRs 
(aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy1 
(S’poreans aged 40 and above)

Workfare Training Support2
(S’poreans aged 35 and above, and earn ≤ $2,000 per month)

Full course fee

S$2700

S$2700

S$2700

S$2700

SSG grant

-

(S$1890)

(S$1890)

(S$1890)

Nett course fee

S$2700

S$810

S$810

S$810

7% GST on nett course fee

S$189

S$56.70

S$56.70

S$56.70

Total nett course fee payable, including GST

S$2889

S$866.70

S$866.70

S$866.70

Less additional funding if eligible under various schemes

-

-

(S$540)

(S$675)

Total nett course fee payable, including GST, after additional funding from the various funding schemes

S$2889

S$866.70

S$326.70

S$191.70


Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees, apart from government subsidies. For more information, click here.

Company-sponsored

International Participants

S'poreans and PRs 
(aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy1 
(S’poreans aged 40 and above)

Workfare Training Support2
(S’poreans aged 35 and above, and earn ≤ $2,000 per month)

Enhanced Training Support for SMEs3

Notes

Full course fee

S$2700

S$2700

S$2700

S$2700

S$2700

SSG grant

-

(S$1890)

(S$1890)

(S$1890)

(S$1890)

Nett course fee

S$2700

S$810

S$810

S$810

S$810

7% GST on nett course fee

S$189

S$56.70

S$56.70

S$56.70

S$56.70

Total nett course fee payable, including GST

S$2889

S$866.70

S$866.70

S$866.70

S$866.70

Fee payable to NUS-ISS

Less additional funding if eligible under various schemes#
(company needs to submit training grant and claim via Skillsconnect)

-

-

(S$540)

(S$675)

(S$540)

Total nett course fee payable, including GST, after additional funding from the various funding schemes

-

-

S$326.70

S$191.70

S$326.70

Actual financial outlay by company

Various Funding Schemes

1Mid-Career Enhanced Subsidy

  • Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.


2
Workfare Training Support (WTS)

  • Singaporeans aged 35 and above (13 years and above for Persons With Disabilities) and earn not more than $2,000 per month, may enjoy subsidies up to 95% of the course fees.


3
Enhanced Training Support for SMEs (ETSS)

  • SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the course fees. For more details, click on Enhanced Training Support for SMEs.


Course attendee is eligible for only one funding scheme.

#For company-sponsored participants, companies would need to pay upfront 30% of the course fee to NUS-ISS and submit a training grant application for the remaining eligible subsidies, and subsequently a claim in Skillsconnect. For details, please refer to Skillsconnect guide 4.1 & 5.1.

This course is aligned to the National Infocomm Competency Framework (NICF) and accredited by SSG. Absentee payroll and up to 70% SSG funding of the course fee is available for eligible participants (Singapore Citizens and Permanent Residents). Absentee payroll subsidy is available for eligible companies and companies on a short work week system will receive the absentee payroll subsidy based on their employees' current income. Please visit www.ssg.gov.sg for full details.




Certificate

Certificate of Completion

The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course.

WSQ Assessment

  • Broad Schedule of Assessment: During the course
  • Passing Criteria: Meet the criteria required in each workshop
  • Assessment Method: Team workshops and individual submissions

Upon passing the assessment, Statement of Attainment (SOAs) will be issued to certify that the participant has passed the following Competency Units:

  • IT-PM-401S-1 Manage project integration

Participants may need to attend additional coaching sessions and re-assessments if they do not pass the required competency units. ISS reserves the right not to disclose any information on the course assessment process.




Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

Find out more.

WIFI Access

WIFI access will be made available. User ID and password will be provided in the participant’s kit.

Venue

Institute of Systems Science, NUS
25 Heng Mui Keng Terrace
Singapore 119615 

Click here for directions to NUS-ISS.

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to isstraining@nus.edu.sg or call 6516 2093 if you have any enquiry or feedback.




Instructors

Ms. Catherine KHAW

View Profile >

Mr. Daniel BOEY

Chief, Product & Project Management Practice View Profile >

Mr. Nirmal Raja PALAPARTHI

Principal Lecturer & Consultant, Analytics & Intelligent Systems Practice View Profile >

Mr. Richard TAN

Principal Lecturer & Consultant, Product & Project Management Practice View Profile >

Course Resources

Develop your Career in the Following
Training Roadmap(s)

Please click on the discipline(s) to view the training roadmap of related courses to assess your training needs and goals.

Analytics and Intelligent Systems

Leverage on data and business analytics for intelligent decision-making and help your business harness its true potential.

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Product & Project Management

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