Industry Graduate Diploma in Business Analytics for Data-Driven Decision Making with Python Programming
- Analytics & Tech
- Innovation & Business Improvement
SMU Academy is replacing this Advanced Diploma to our brand new Industry Graduate Diploma (IGD) to offer a more structured and flexible learning pathway. More details here.
All IGD applications will be reviewed, and will be notified of the outcome via email after application closes.
Please refer to respective modules for dates.
Part 1: Professional Certificate in Python Programming
Weeknights (6.30pm - 10:45pm)
Saturday (9am – 6.15pm)
Part 2: Advanced Certificate in Business Analytics for Data-Driven Decision Making (with Python)
Online Intake
3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
On-campus Intake
3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
Who Should Attend
- Managers, Data Analysts, Professionals, and Executives involved in the analysis, interpretation and presentation of data for decision-making across various business functions such as marketing, customer service, and corporate communications.
- Aspiring data science professionals seeking to apply Python to real-world data problems such as business intelligence analysts, and data engineers.
Admission requirements
- A Bachelor’s Degree with at least 5 years of working experience; or
- A Diploma from a local polytechnic with at least 10 years of relevant work experience
Overview
Participants will tackle real-world business scenarios with the data that they work on, allowing them to apply their newfound knowledge and skills to practical situations commonly encountered in day-to-day business practices. They will also be familiarised with the latest tools, techniques, and best practices in the field of business analytics.
Learning Objectives
The Industry Graduate Diploma in Business Analytics for Data-Driven Decision Making with Python Programming aims to equip learners with a strong foundation in Python programming and its applications in the business analytics industry.
Through this programme, learners will:
- Gain an understanding of data-driven decision-making and its importance in the business world.
- Learn to gather, process, and analyse data to extract meaningful insights and inform strategic business decisions.
- Develop hands-on experience with various data analysis methods, such as statistical analysis, causal inference, machine learning, and predictive modelling.
- Identify patterns in data, make predictions about future trends, and draw actionable insights.
- Apply knowledge and skills to real-world business scenarios through practical experience.
- Obtain a comprehensive understanding of business analytics, data-driven decision-making, and the use of Python programming to drive business success.
- Explore how data-driven decision-making can inform various business functions, such as marketing, HR management, operations, and finance.
- Learn when, why, and how to effectively utilise Python data science toolkits in response to business and policy questions.
- Internalise business analytics workflows using Python programming.
- Improve business and policy decisions through computational data analytics with Python programming.
Topic/Structure
To achieve the Industry Graduate Diploma in Business Analytics for Data-Driven Decision Making with Python Programming, participants will need to complete the following certificates offered by SMU Academy in sequential order:
Part 1: Professional Certificate in Python Programming
- Basics of Python Programming
- Data Structures in Python Programming
- Advanced Functions and Data Structures in Python Programming
- Object-Oriented Programming in Python
- Basic Data Wrangling in Python
- Capstone Project in Python Programming
Part 2: Advanced Certificate in Business Analytics for Data-Driven Decision Making (with Python)
- Customer Segmentation and Personalisation
- Predicting Customer Lifetime Value and Attrition
- Programme Evaluation and Causal Inference
- Algorithmic Trading and Computational Finance
- Natural Language Processing and Customer/ Employee Reviews
- Interactive Dashboard and End-to-End Business Analytics for Decision-Making
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of every module as well as an overall Industry Graduate Diploma exam. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
CERTIFICATION
Upon completion of all the required modules within 2 years and passing the overall IGD exam, participants will be awarded an Industry Graduate Diploma in Business Analytics for Data-Driven Decision Making with Python Programming.
*SkillsFuture Level-Up Programme for Mid-Career Individuals (pending approval for this programme)
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
PARTICIPANT PROFILE | SELF-SPONSORED | SME | NON-SME |
Singapore Citizen < 40 years old Permanent Resident LTVP+ | $8,632.80 (After SSG Funding 70%) | $3,352.80 (After SSG Funding 70% | $8,632.80 (After SSG Funding 70%) |
Singapore Citizen ≥ 40 years old | $3,352.80 (After SSG Funding 70% | $3,352.80 (After SSG Funding 70% | $3,352.80 (After SSG Funding 70% |
International Participant | $28,776 (No Funding) | $28,776 (No Funding) | $28,776 (No Funding) |
*The course fees are exclusive of the following: $272.50 registration fee, $109 application fee, and $545 exam fees.
*All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
SkillsFuture Level-Up Programme for Mid-Career Individuals
A SkillsFuture Credit (Mid-Career) top-up of $4,000 will be provided to Singaporeans aged 40 years and above to further offset out-of-pocket course fees for this programme.
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 are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. 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
