(SCTP) Advanced Certificate in Generative AI for Business Analyst
- Analytics & Tech
This programme is conducted in person and via Asynchronous and Synchronous E-Learning.
330 hours over 3 months
Asynchronous E-Learning: 232 hours
Synchronous E-Learning: 36 hours
Classroom Learning: 28 hours
Assessments: 34 hours
Who Should Attend
Participants keen to pursue roles in business analytics, such as Business Analyst or Junior Business Analyst.
Trainees must meet all the requirements below in order to be eligible to apply for the programme:
- Singapore Citizen, Singapore Permanent Resident or LTVP+ holder
- At least 21 years old
- Registering as a self-sponsored participant
Overview
This certificate programme is designed to help participants harness the power of generative AI tools for increased efficiency and comprehensive, actionable insights. From mastering the fundamentals of AI and data preprocessing to leveraging cutting-edge generative AI algorithms for data analysis, process optimisation, and customer behaviour insights, this programme is designed for Business Analysts who wish to keep updated with the latest trends in artificial intelligence . The programme will get them to elevate their skills, drive strategic decisions powered by technology, and shape the future of their organisation.
Topics include:
- Introduction to Business Analysis & AI
- Fundamental Concepts in AI and Machine Learning
- Data Collection and Preprocessing
- Introduction to Generative AI
- Generative AI for Data Analysis
- Process Optimisation using AI
- Natural Language Processing (NLP) for Business Insights
- Decision Support Systems with AI
- Risk Management and Predictive Modelling
- Customer Behaviour Analysis
- Ethical Considerations in AI
- Capstone Project
Learning Objectives
At the end of the 12-week programme, participants will be able to:
- Understand the role and importance of a Business Analyst in organisations, setting the stage for advanced learning
- Acquire proficiency in utilising various generative AI tools such as GANs, auto-encoders, and language models to optimise workflows and drive efficiency
- Learn to leverage AI algorithms for data analysis, pattern recognition, and trend identification to extract valuable insights from complex datasets
- Discover how to identify bottlenecks, inefficiencies, andrisks in business processes and make informed decisions using AI-driven simulations and predictive models
- Understand the ethical considerations and challenges involved in AI-powered analysis, ensuring responsible and transparent decision-making throughout the business analysis process
Topic/Structure
To achieve the (SCTP) Advanced Certificate in Generative AI for Business Analyst, participants will need to complete the following modules offered by SMU Academy:
Module 1: Business Analysis Fundamentals and Introduction to Generative AI
In this module, participants will learn about business analysis, data pre-processing and foundational concepts in artificial intelligence (AI) and machine learning. This sets the foundation for the subsequent modules, where participants will acquire proficiency in utilising various generative AI tools such as Generative Adversarial Networks (GANs), autoencoders, and language models to optimise workflows and drive efficiency.
Module 2: Use Cases of Gen AI in Business Analytics, Part 1
This second module dives deeper into the application of generative AI for data analysis, including specific units that focus on process optimisation, natural language processing and customer behaviour analysis using generative AI. Participants will learn how to identify bottlenecks, inefficiencies, and risks in business processes and make informed decisions using AI-driven simulations and predictive models.
Module 3: Use Cases of Gen AI in Business Analytics, Part 2
This final module covers decision support systems, risk management and predictive modelling and ethical considerations in artificial intelligence (AI). It will conclude with a capstone project, tasking participants with resolving real-world business problems by applying the tools they have acquired and presenting their solutions to simulated stakeholders.
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of every module. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment for each of the 3 modules in order to be awarded the digital (SCTP) Advanced Certificate in Generative AI for Business Analyst issued by Singapore Management University.
Fee Table
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
|
Singapore Citizen < 40 years old Permanent Resident
|
$6,278.401 |
|
Singapore Citizen ≥ 40 years old4 |
$2,438.402 |
|
Singapore Citizens who qualify for AFS |
$1,478.403 |
All prices include 9% GST
1 Up to 70% course fee funding
2 Up to 90% course fee funding under SkillsFuture Mid-Career Enhanced Subsidy ("MCES")
3 Up to 95% course fee funding under Additional Funding Support ("AFS") where participants must be:
- Singapore Citizens; and
- Long-term unemployed individuals (6 months or more); or
- Individuals in need of financial assistance [ComCare Short-to-Medium Term Assistance (SMTA) recipients or Workfare Income Supplement (WIS) recipients]; or
- Persons with disabilities
4 SkillsFuture Level-Up Programme for Mid-Career Individuals (NEW)
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.
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