Applied AI & Data Analytics (AADA)
(formerly Business & Data Analytics)
From domain professional to AI Bilingual analytics expert — in one programme
Who is this course for
Built for professionals ready to grow with AI
Whether you’re transitioning into a new analytics-driven role or deepening your impact in your current one, AADA gives you the AI fluency and analytics capabilities to move forward — confidently.
Choose how you learn
Two tracks, one qualification
Accelerate into your next role
Best for: Freelancers, gig economy workers, job seekers, and individuals between jobs.
Course duration: 16 weeks (4 months)
Schedule: 5 days per week, Monday to Friday (9am to 1pm), with scheduled afternoon sessions
Upcoming intake:
(i) 17 August – 4 December 2026 [Limited Seats]
(ii) 12 October 2026 – 29 January 2027
SSG Training Allowance (TA) is applicable for this full-time programme
Upskill without leaving your job
Best for: Full-time employees or working professionals looking to balance work and learning.
Schedule: Evening and weekend classes that fit around work
Next intake: 2027 onwards
Register your interest now — we’ll notify you when enrolment opens
*Class timings may vary depending on the topic or other factors. Please refer to the official schedule for the most accurate information.
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Upcoming Course Dates
Master Excel, Python, SQL, and Power BI to become a data-savvy problem solver who can analyse, visualise, and drive real business impact. Download course details Ideal for analytical minds eager to turn data into decisions.
Mon & Wed: 7:00pm - 10:00pm | Sat: 9:00am - 12:00pm SSG Allowance available
Mon to Fri: 9:00am - 1:00pm SSG Allowance available
Learning Outcomes
In this course, you will learn to
Skill up to become a data analyst or a mid-career professional equipped with practical AI and analytics capabilities
Tabs
Tab #1 Label
Applied AI & Data Analytics (Full-Time)
Course Facts
AI-powered data analysts help businesses make smarter, faster decisions. You’ll apply AI across the full analytics workflow — from framing business problems to preparing data, building models, and presenting findings — using latest AI platforms and analytical tools. With strong problem-solving skills and AI fluency, you’ll turn data into compelling stories that drive real impact across functions and industries.
Combining your existing domain expertise with AI-driven analytics, you’ll bridge the gap between data and business decisions — supporting teams in marketing, operations, finance, and more with insights that are both technically sound and practically actionable.
- Structured problem-solving and business case development using BCG-inspired frameworks
- AI embedded throughout the analytics workflow — business understanding, data prep, modelling, and solutioning
- Enhanced AI Fluency through prompt engineering and AI workflow automation
- Foundational Python programming
- Practical skills in industry-standard tools: Excel, SQL, Power BI / Tableau
- AI-driven implementation of the data analytics lifecycle: preparation, analysis, and visualization
- Machine learning modelling via AI-driven, programmatic and Low-code/No-code (LCNC) approaches
- Emerging Trends & Technologies of AI and Analytics
- Responsible AI and data ethics
- Real-world AI-powered data analytics capstone project
Tab #2 Label
Applied AI & Data Analytics (Part-Time)
Course Facts
Data analysts help businesses make smarter and faster decisions. You’ll use SQL, Python, Power BI/Tableau, and AI tools to turn raw data into clear insights — and build the problem-solving instincts to drive real impact across industries.
Mid-career professionals with AI and analytics capabilities bridge the gap between data and business decisions. Combining your domain expertise with AI fluency, you’ll support teams in applying data insights to real challenges in marketing, operations, finance, and more — with AI, programming and platform-based tools at your disposal.
- Structured problem-solving and business case development
- AI embedded throughout the analytics workflow — business understanding, data prep, modelling, and solutioning
- Enhanced AI Fluency through Prompt engineering and AI workflow automation
- Foundational Python programming
- Practical skills in industry-standard tools: Excel, SQL, Power BI / Tableau
- AI-driven implementation of the data analytics lifecycle: preparation, analysis, and visualization
- Machine learning modelling via AI-driven, programmatic and Low-code/No-code (LCNC) approaches
- Real-world AI-powered data analytics capstone project
Your Learning Journey
Getting you job-ready in 3 skill-building phases
Collapsible
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Phase 1: Business and AI foundations
Master business and digital skills modelled on BCG’s consultant training programme. Build a strong foundation in data analytics, AI fundamentals, visualisation, and Python programming — with AI tools introduced as working instruments from the very first session.
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Phase 2: AI-powered analytics deep dive
Be equipped with AI-driven skills in data visualisation and exploratory data analysis (EDA), enabling you to uncover key insights in data. Learn to build machine learning models, from basic to advanced techniques using AI, Python and Low Code/No Code (LCNC) platforms, and apply them to real-world scenarios.
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Phase 3: Real-world capstone project
Leverage AI-assisted cloud platforms to manage data and build machine learning models. Gain hands-on experience by working on a real-world capstone project. Receive direct guidance and mentorship from experienced industry practitioners and BCG experts. Graduate with continued career guidance and placement support.
Phases of Learning
The 4 phases of learning
Build a strong foundation
Master foundational AI and data analytics skills via e-learning modules, reading materials, live classes, and technical assessments.
Sharpen skills through hands-on experience
Build confidence applying AI across data preparation, analysis, and visualisation — through live workshops, roleplays, practice exercises, and digital simulations using real tools.
Get group coaching and feedback
Deepen your thinking with structured feedback and mentorship from BCG experts. Refine both technical outputs and the judgment to use AI as a force multiplier.
Turn insight into impact
Bring everything together in real-world applications. Work in teams to solve actual business challenges through group projects and the capstone experience.
Meet your trainers
Learn from active industry practitioners and BCG experts
*Trainers may vary by cohort
AI and industry tools covered
*All logos and company names are the property and trademarks™ or registered® trademarks of their respective owners. No affiliation, association, or endorsement is implied.
**The tools featured are representative of what you may encounter during the programme. Actual tools may vary by course, use case, and availability.
Hear from our AADA graduates
“This program has equipped me with essential data and analytical skills, including Power BI, Python, and machine learning that are crucial in today’s digital landscape. What stands out the most is the ability to use data to craft compelling narratives and answer key ‘so what?’ questions. I’m confident that the skills I’ve gained will be invaluable for my career, enabling me to drive impactful data analysis in marketing performance and tracking.”RISE Applied AI & Data Analytics Graduate (programme previously named Business & Data Analytics)
“I gained a foundational understanding of analytics, AI/ML, PowerBI, statistical analysis and Python. These skill sets are pivotal to my current foray into academic research — coming from an arts and humanities background, quantitative research skills have never been my strong suit. Now, I feel equipped and empowered to fully pivot from digital marketing into the space of research on disability, technology and the arts. The guidance received throughout the course proved invaluable to my career development; I was able to immediately apply my learnings and successfully conducted data analysis with Python in a recent research project.”RISE Applied AI & Data Analytics Graduate (programme previously named Business & Data Analytics)
Course fee overview
Cost Table
Upskill with Subsidy Support
Enjoy up to 95% SkillsFuture subsidy, and use available SkillsFuture Credits, PSEA, or UTAP to offset remaining fees.
For Singapore Citizens who are unemployed ≥6 months, receiving ComCare, SMTA, WIS, or have disabilities
- $0 – $1,155
- $0 – $1,617
For Singaporeans aged 40 and above
- $0 – $1,905
- $0 – $2,667
For Singaporeans under 40, Permanent Residents, or Long Term Visit Pass Plus (LTVP+) holders
- $0 – $4,905
- $0 – $6,867
*Actual out-of-pocket fees depend on eligibility for subsidies and the availability of remaining SkillsFuture Credit (SFC). Some learners may pay as low as $0.
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FAQ
Frequently Asked Questions
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Is the Applied AI and Data Analytics (AADA) course beginner-friendly?
Yes. The course is suitable for learners with no prior data experience. It’s ideal for those looking to build core data skills or apply data insights in roles like HR, finance, operations and more, using platforms such as Excel, SQL, Python, GenAI and low-code/no-code tools. While no prior statistics knowledge is required, the programme will introduce essential foundational concepts to support your learning and application throughout the course. As part of the enrolment process, learners may be expected to complete an AADA aptitude test. While passing the test is not an entry requirement, it helps you assess your current understanding and identify areas to strengthen before the course begins. We encourage learners to revisit the preparatory materials provided when completing the test to set themselves up for success in the programme.
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What roles does the Applied AI and Data Analytics (AADA) course prepare me for?
The AADA course equips you for roles such as Analytics Translator, Business Intelligence Manager, AI Product Manager, AI Integration Specialist, AI Governance Officer, Domain-Specific AI Analyst, and AI-Augmented Domain Professional across industries including finance, healthcare, and technology. You’ll be prepared to work in AI-augmented analytics roles and apply AI-powered insights across business functions like HR, finance, operations, supply chain, and more.
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What are the differences between the AADA full-time and part-time courses?
AADA full-time lessons take place on Mondays to Fridays from 9am to 1pm, and is more suitable for learners who are not engaged in full-time employment, or are able to commit to the learning schedule on weekdays during usual working hours. As the full-time programme strives to fast-track learners’ upskilling journey, the pacing will be faster as lessons take place daily, with mechanisms built in to ensure a sustainable learning progress. AADA part-time lessons take place on two weekday evenings (Monday and Wednesday, 7pm to 10pm) and Saturdays (9am to 12pm), and is better suited for learners engaged in full-time employment, or those only able to commit to the learning schedule outside of usual working hours. The part-time programme pacing is more moderated to cater to working professionals.
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What are the software and technical requirements for this course?
Learners will need a laptop to join Zoom classes. A Windows laptop is COMPULSORY, as Microsoft Power BI Desktop will be used as part of AADA’s core curriculum, and it is not supported on Mac. Laptop requirements: Operating System: Windows 11 (64-bit only); RAM: Minimum 8GB (16GB recommended). Software requirements: Microsoft Excel (Office 365 or Excel 2010 and above); Google Chrome Browser. Note: Google Sheets or similar alternatives are not supported. Excel Online version does not support many required functions and will not allow you to save work properly unless you have a valid licence.
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Do I need to spend additional time outside of class for revision?
Yes. While the AADA programme is designed to be highly structured and applied, learners are recommended to spend approximately 5–10 hours per week on revision, practice, and assignments. This self-study time is essential to reinforce technical concepts, build fluency with AI and analytics tools, and successfully complete hands-on exercises.
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Will I receive a certificate at the end of the course?
Yes. You will receive a Professional Certificate by BCG U under the SkillsFuture Career Transition Programme (SCTP) upon successfully completing the course, subject to meeting the minimum attendance and assessment requirements. Graduates who achieve a score of 80% or higher will receive a Certificate with Distinction for their exceptional performance. You will also receive Credly badges for your achievements, safeguarded using blockchain, which can be showcased on LinkedIn.
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What career support does RISE provide?
RISE provides 23 hours of structured career support during the programme and up to six months post-graduation. This includes five Career Spotlight sessions (4 hours each) covering topics such as career goal setting, networking, interview preparation, and advancing your profile. You will also receive three 1:1 career coaching sessions (1 hour each) with expert coaches, covering personal branding, resume refinement, interview practice, and career planning. Six career check-in touchpoints are conducted after graduation to assess your progression and customise your development path. Job-matching support is also available through BCG RISE’s growing employer partner network.
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