MRT delay-predictor AI agent
A LangChain agent that pulls live LTA DataMall API data on MRT delays, predicts how late the user's daily commute will be, and posts the result to their family Telegram group every morning. Built in Python.
Live 1:1 mentorship in Python, modern web and agentic AI for Singapore students — aligned with PSLE computational-thinking foundations, GCE O-Level Computing 7155, GCE A-Level H2 Computing 9569, the Integrated Programme (IP), the IB Diploma, and the algorithmic depth that NUS, NTU, SMU, SUTD actually evaluate. SGD 135 a month (USD 100), eight live sessions, two per week, cancel anytime.
Singapore's education pipeline is the most structured in the world. Every stage feeds the next. Get any stage wrong — particularly PSLE or O-Level Computing — and the next stage gets exponentially harder. Here's what each step actually demands, and where we fit.
Computational thinking foundations · MOE Code for Fun · Scratch / Python intro · logical reasoning for PSLE Math & Science.
O-Level Computing 7155 (Python). IP-track schools skip O-Levels — school-internal curriculum is deeper.
H2 Computing 9569 (algorithms, data structures, OOP). H1 8876. H3 enrichment for top students.
NUS School of Computing · NTU SCSE · SMU SCIS · SUTD · SIT · SUSS · admission via A-Level / IB / IP.
Sea · Grab · Razer · GovTech · TikTok APAC · Stripe · OpenAI SG · Anthropic SG.
Where Modern Age Coders adds value: not by replacing school — Singapore schools are already world-class — but by adding the 1:1 depth, real working projects on GitHub, and algorithmic problem-solving that school class sizes of 30+ struggle to deliver, and that NUS / NTU / SMU / SUTD admissions actually scrutinize.
Every course runs as live 1:1 with a mentor matched to your child's level (P1–P6, S1–S5, IP1–IP6, JC1–JC2 or university/adult). Two 45-minute sessions per week. SGD 135 (USD 100) per month for 1:1, or SGD 54 (USD 40) for small-group cohort.
Scratch & ScratchJr, then we bridge to real Python by month four. Play, animation and music-led. Strengthens the computational-thinking foundations PSLE Math implicitly tests.
SGD 135 / month · 1:1 · 8 sessions P4 – P6 · PSLE prepReal Python, real keyboard typing, real GitHub. We deliberately keep the cognitive load off peak PSLE periods. Strengthens problem-solving for the Math heuristics PSLE rewards.
SGD 135 / month · 1:1 · 8 sessions S1 – S2 · IP1 – IP2HTML, CSS, JavaScript, React basics. AI module covers safe prompting, LLM mental models and a first agent-style project. Works alongside Code for Fun and IP school-internal computing.
SGD 135 / month · 1:1 · 8 sessions S3 – S5 · O-Level 7155Direct alignment with the MOE 7155 syllabus. Python, algorithms, data representation, networks. Past-paper drills + the project component your school expects.
SGD 135 / month · 1:1 · 8 sessions IP3 – IP6 · Integrated ProgrammeIP-track students (RI, HCI, NUS High, NJC, NYGH, ACS-I, Dunman, RGS, Cedar, MGS) skip the O-Level path. Our IP-track lead has taught at three IP schools and knows the school-internal syllabus.
SGD 135 / month · 1:1 · 8 sessions JC1 – JC2 · A-Level H2 9569Paper 1 (theory), Paper 2 (algorithms / problem solving), Paper 3 (project), Paper 4 (data, AI fundamentals). Past-year strategy + the kind of GitHub portfolio NUS / NTU evaluate.
SGD 135 / month · 1:1 · 8 sessions IB DP HL / SLFor families at UWCSEA, SAS, Tanglin, OFS, GIIS Singapore, Stamford American, ISS, CIS — IB CS HL/SL plus Internal Assessment scaffolding from an ex-IB CS examiner.
SGD 135 / month · 1:1 · 8 sessions University / AdultPython · SQL · LangChain · LangGraph · CrewAI · evaluations · production deployment. The exact stack Sea, Grab, GovTech, Stripe and AI Singapore recruit for.
SGD 135 / month · 1:1 · 8 sessionsDuring PSLE (late September), O-Level (October – November) and A-Level (November) exam weeks, we automatically reduce coding-class intensity, shift to lighter review-style sessions, or pause entirely for the family that asks. No bill changes. We don't make money during exam fortnights — we make sure your child does well in school.
The Integrated Programme runs a school-internal curriculum that skips O-Levels entirely. Each IP school has its own internal pace, its own internal projects, its own internal Maths and Computing depth. Generic O-Level tutoring is irrelevant.
Our IP-track lead is an ex-Hwa Chong / RI computing teacher with 12 years inside the IP system. They know what RI's IP4 algorithms project actually looks like; what HCI expects in its IP5 project; how NUS High's accelerated pace differs from NJC's.
If your child is in an IP school, ask for the IP-track mentor specifically on your callback.
My son is in IP4 at Raffles Institution. He needed someone who could push his algorithms thinking past what RI's group classes do. After four months with his mentor — an ex-RI teacher — he ranked top 10% in the NOI Singapore qualifier. The mentor knew exactly what RI internally expects, didn't waste a single hour on irrelevant material, and never made it feel like remedial tutoring. This is the level of mentor Singapore parents have been quietly looking for.
A LangChain agent that pulls live LTA DataMall API data on MRT delays, predicts how late the user's daily commute will be, and posts the result to their family Telegram group every morning. Built in Python.
A FastAPI + React full-stack web app that helps NUS aspirants self-assess their portfolio against the Apply NUS rubric. Submitted as part of an SoC Discretionary Admissions application. Student was accepted.
A real-time crowd-density predictor for Singapore hawker centres, using public LTA bus-arrival data as a proxy. Built over 24 hours at Hack&Roll 2025 with two team-mates. Top-10 finalist out of 600+ entries.
A Python script that generates infinite PSLE-style Maths heuristics questions (model drawing, working backwards, supposition) with answer keys. Used by the student's own Math tuition class.
A retrieval-augmented-generation tool over NUSMods + reddit/r/nus archive that helps freshmen choose modules. Built for the NUS Hackers club. ~3,000 active users in semester 1.
A working agentic-AI tool that scrapes HDB resale transaction data, an MRT-station proximity model and the OneMap API, then outputs a fair-value estimate for any HDB flat. Used by his property-agent friends.
Every Modern Age Coders Singapore family is matched to a single named mentor. No platform-only, no chatbot-only, no "hub teacher rotation." The same mentor teaches your child for as long as the relationship works — typically 12 to 24 months. Several of our SG mentors are ex-IP-school teachers themselves.
IP-track lead · Ex-Hwa Chong computing
12 years at Hwa Chong Institution. Personally taught 200+ IP-track students. Knows the HCI, RI, NUS High and NJC internal pace better than anyone we've met.
Active SGT 14:00 – 21:00A-Level H2 9569 specialist
Former Hwa Chong JC and NJC tutor. 9 years on the H2 9569 syllabus. Walked dozens of Singapore JC students through their A-Level Computing papers.
Active SGT 15:00 – 22:00O-Level Computing 7155 + PSLE-age coach
Former MOE Code for Fun trainer. Specialises in P5/P6 PSLE-age and S1–S4 O-Level Computing. Has Tamil and Malay bilingual capability for primary-school families.
Active SGT 16:00 – 21:00IB DP CS · ex-IB examiner
Ex-IB Computer Science examiner. Built our entire IB CS Internal Assessment scaffolding. Supports UWCSEA, SAS, Tanglin, OFS, ISS, CIS and GIIS Singapore families.
Active SGT 13:00 – 19:00Agentic AI for adults · ex-Grab Engineering
3 years at Grab as a senior engineer in the data platform team. Now mentors working professionals in Singapore moving into agentic AI / LLM-engineering roles.
Active SGT 17:00 – 23:00 + SatGirls-only cohort lead · NUS CS MSc
NUS School of Computing MSc. Leads our girls-only Singapore cohort. Particularly skilled with the P4–S2 transition (PSLE-age → early secondary).
Active SGT 15:00 – 20:00No joining fee. No registration fee. No annual lock-in. No "gold / platinum / diamond" upsell tiers. The same price for a P2 little coder, a JC2 H2 9569 candidate or a Holland-Village-based adult career-switcher. We price in USD and quote the SGD equivalent at the current rate; you pay in whichever you prefer. No GST is added (we deliver from outside Singapore).
A named mentor in SGT-friendly hours. Live, every session.
3 – 5 learners, same level, same curriculum.
We accept payment in SGD or USD, by Visa / Mastercard, PayNow (where applicable), bank transfer, or Apple/Google Pay. No GST is charged.
An honest comparison vs the options most Singapore parents shortlist alongside us: enrichment-centre coding programs, premium school after-school enrichment, and global self-paced platforms.
| Modern Age Coders | SG enrichment centre (in-person) | Global self-paced platform | School computing club | |
|---|---|---|---|---|
| Price per month | SGD 135 | SGD 500 – 1,200 | SGD 60 (self-paced) | Subsidised / free |
| Format | Live 1:1 with named mentor | Group, in-centre, drop-off | Self-paced video + AI | Group, school-based |
| Sessions per month | 8 live | 4 – 8 | Unlimited self-paced | 2 – 4 |
| MOE / O-Level / A-Level alignment | Yes — direct | Usually | Generic global | Yes (school's pace) |
| IP-track aware | Yes — dedicated lead | Rarely | No | Only IP-school clubs |
| Real AI engineering (LLMs / agents) | Yes — production stack | Rare | Theory only | Almost never |
| GitHub portfolio | Yes — every student | Some | No | Some |
| NOI / Hack&Roll coaching | Yes | Few | No | School-dependent |
| Cancel monthly | Yes | Term-locked | Yes | N/A |
| Free trial | Yes — live with the mentor | Discounted first month | Free tier | Open day |
We've intentionally left out global online platforms whose unit economics simply don't work at SGD 135/month for a live 1:1 mentor.
Singapore's local universities are world-class — NUS School of Computing is consistently QS-ranked top 10 globally for Computer Science. Several of our SG students stay local. Others target the US (MIT, Stanford, CMU, Berkeley), the UK (Oxbridge, Imperial), Canada (Waterloo, UofT) or Australia (Go8). We align portfolios to whichever path each family is realistically targeting.
The pre-eminent CS school in Asia. Strong on AI, algorithms, security, software engineering. Highly competitive even for top JC students.
School of Computer Science & Engineering. Strong on AI, data science, software engineering. Renaissance Engineering Programme available for high-achievers.
School of Computing & Information Systems. Heavy on industry integration, software engineering, info security. Excellent placement outcomes.
Singapore University of Technology & Design. Multidisciplinary, project-based. CSD pillar particularly strong for AI / design / interactive systems.
Singapore Institute of Technology. Applied-track CS, software engineering, data science, info security — strong industry-coupled curriculum.
Singapore University of Social Sciences. Adult-friendly part-time CS degree. Many of our adult Singapore learners pair our agentic-AI track with a SUSS part-time degree.
MIT EECS · Stanford CS · CMU SCS · UC Berkeley EECS · Caltech CS · Cornell · Princeton · Harvard. SG students compete hard for these spots; we align portfolio to admission criteria.
Cambridge · Imperial · UCL (UK) · Waterloo · UofT · UBC (CA) · Melbourne · Sydney · ANU · UNSW · Monash (AU Go8). All within reach of strong SG H2 Computing students.
Singapore is APAC's tech hub — OpenAI, Anthropic, Stripe, ByteDance, TikTok, Meta, Google, Apple, Microsoft, Amazon and Cloudflare all have major regional engineering offices here. Plus the homegrown giants like Sea, Grab, Razer and ST Engineering. The compensation upside for a strong CS graduate is among the best in the world.
Shopee, Garena, SeaMoney. Largest tech company in Singapore by market cap. Huge engineering hiring pipeline for SG-trained CS grads.
Ride-hailing, food delivery, financial services, payments. ~5,000 engineers globally; biggest engineering office in Singapore.
Gaming hardware + software. Strong engineering presence. Popular destination for game-developer-track SG students.
Open Government Products + GovTech Singapore. Builds national digital infrastructure. Pays well, ships fast, hires top CS grads.
National AI initiative. Apprenticeship Programme (AIAP) for adults; AI for Industry / 100 Experiments. A major launching pad for AI careers.
APAC HQ. Hires from NUS / NTU / SMU / SUTD. One of the strongest engineering cultures in Singapore. Famously hard to get into.
OpenAI's APAC office is in Singapore; Anthropic also has SG presence. AI engineering, applied research, customer-facing roles. SG-based but truly global.
Major Singapore engineering office. Recommendation systems, content moderation, ML infra. Aggressive hiring of local CS grads.
Plus Cloudflare, Datadog APAC, Stripe APAC, Snowflake APAC, Databricks APAC, Visa Innovation Centre, DBS Bank engineering, Singtel cloud / AI, ST Engineering, A*STAR research institutes, SGInnovate-portfolio startups.
You leave your +65 number on the form. A mentor working SGT-friendly hours calls within 3 hours — usually within 60 minutes during 16:00–21:00 SGT. No salesperson, no script. We ask 4 things: your child's school + year, the curriculum (MOE / IP / IB), what they've tried, what you want from the next 6 months.
We match your child to a specific named mentor based on level, school, IP-track yes/no, IB-vs-A-Level, English / Mandarin / Tamil / Malay preference, time slot, personality fit. You see the mentor's name, photo and short bio before the trial.
One full live 1:1 session with that named mentor. No demo content, no scripted lesson — the mentor teaches your child something real, calibrated to their level and school's curriculum. At the end, you receive a written 6-month outcome plan. Zero pressure if you don't continue.
Mentor sets up the dev environment on your child's home laptop (VS Code, Python, GitHub account). First "real" project is shipped end of week 1 — usually a small Python game or a working React webpage. We send you the GitHub link.
Once we've watched two weeks of real teaching, the mentor finalises the 6-month learning plan — mapped explicitly to your child's school syllabus (O-Level 7155 progress, IP school internal pace, JC H2 9569 paper coverage, IB CS IA topic). You can challenge or change anything.
End of month one, the mentor calls you (not your child) on WhatsApp for 15 minutes. You hear what's working, what isn't, what to expect month 2. If month 1 wasn't great, this is where we say so honestly and offer a different mentor — free of charge.
Mentor and student greet on Zoom. 2-minute recap: "What do you remember? What got stuck?" — no homework-style grilling.
Mentor introduces the one new concept — usually with a Singapore-relevant example. ("Today we're learning dictionaries by storing every MRT station as a key and its CC/EW/NS line as the value.")
Student writes real code. Mentor shares screen for the first few minutes, then watches, prompts, helps debug. Real errors. Real frustration. Real wins. The mentor never types for the student.
Push to GitHub. Run the program. Sometimes screen-record a 30-second demo video for the family chat. Every session produces something tangible the student can show.
Mentor writes 2 lines into the session log (which parents can read anytime). Previews next session. Says goodbye. Never any "please remember to leave us a review" ask — we don't do that.
Months 1–2: Python fundamentals — variables, conditions, loops, functions. Computational-thinking puzzles that map to PSLE Maths heuristics.
Months 3–4: Data structures, file I/O. First mini-project: a PSLE practice-question generator.
Months 5–6: Real Python game project (snake / pong / Tkinter calculator). First two GitHub commits.
Months 7–8: First webpage with HTML / CSS / JavaScript.
Months 9–10: Light load (PSLE prep weeks — we deliberately reduce intensity).
Months 11–12: Post-PSLE: capstone web project, ready to head into S1 confident.
Outcome: PSLE-ready (academically supported, not distracted). S1 Computing will feel easy.
Months 1–2: Algorithms intensive — sorting, searching, complexity, recursion. Paper-2-style problems weekly.
Months 3–4: Data structures deep dive — linked lists, stacks, queues, trees, hash tables. OOP design.
Months 5–6: Networks, databases, security — the Paper 1 theory side.
Month 7: Programming Project topic locked in. Begin writing Stage 1.
Months 8–10: Project build phase — solution design, code, testing, evaluation. Weekly check-ins.
Month 11: Project polish + Paper 1/2 past-paper drills.
Month 12: Final submission + Mock-3 paper. Mentor writes a reference for UCAS/Common App if requested.
Outcome: Targets a strong A in H2 Computing 9569 + a competitive NUS / NTU SoC application.
Months 1–2: Python from zero. Variables to OOP in 8 weeks. Daily 30-minute self-study + 2 mentor sessions per week.
Months 3–4: SQL deep dive (Singapore-banking data, anonymised) + pandas / NumPy.
Months 5–6: LLMs — OpenAI / Anthropic APIs, prompt engineering, structured-output chains.
Months 7–8: RAG — build a real RAG app over Singapore-banking-domain documents.
Months 9–10: Agentic AI — LangChain, LangGraph, CrewAI. Multi-step reasoning. Production patterns.
Month 11: Deploy a real agent to a Sea / Grab / Stripe-style use-case. Portfolio piece #1.
Month 12: Application sprint. Mentor reviews CV, LinkedIn, GitHub. Practice interviews.
Outcome: Real portfolio. Ready to apply for SG AI / AI-engineering roles at SGD 10–18 k/month range.
Not an endorsement by any school. These are simply schools where Modern Age Coders Singapore students currently study, drawn from our records.
Leave your number. A mentor working SGT-friendly hours will call you within 3 hours, ask 4 questions about your child's school and level, and either book a free trial or politely tell you we're not the right fit. No follow-up campaign. No spam. We've never sold a list. We never will.
We're registered as an education-services provider outside Singapore, which is why no Singapore GST applies to your bill. Delivery is online-only — there is no Singapore office to visit. We issue cross-border invoices in SGD or USD if you need one for accounting.
Yes — directly. Primary track aligns with MOE Code for Fun and PSLE-supportive computational thinking. Secondary track aligns with GCE O-Level Computing 7155 (Python). JC aligns with GCE A-Level H2 Computing 9569 (and H1 8876, H3 enrichment). IP-track is handled separately because IP schools have school-internal syllabuses.
Yes — specifically. Our IP-track lead is an ex-Hwa Chong / RI teacher with 12 years inside the IP system. They know each IP school's internal pace and the actual depth required for the IP4 / IP5 internal projects. Ask for the IP-track mentor on your callback.
Yes. Algorithms, data structures, dynamic programming, graph theory. We've coached students through NOI Singapore qualifier rounds. Most NOI-bound students come to us in IP4 or S3 and work intensively for 8 – 14 months.
Yes — team coaching for 24-hour hackathons. We've had teams reach the Hack&Roll Top 10 multiple years running. We also coach AI Innovation Challenge, JC ASEAN Computer Science Olympiad, and the Singapore Maths Olympiad.
Yes. We focus on the four things SoC admissions evaluates: H2 Computing performance, a real GitHub portfolio, NOI / competitive programming credentials, and articulate written communication about projects. About 1 in 5 of our advanced SG students target NUS SoC.
Yes — all four. NTU SCSE is similar in admissions weight to NUS SoC. SMU SCIS leans more on the practical portfolio side. SUTD looks for design-thinking + technical depth. SIT is applied-track. We tailor portfolio strategy to whichever university is the realistic primary target.
Yes — the entire syllabus. Python, algorithms, data representation, networks, security, data & databases, the programming project. We run past-paper drills and project guidance directly to the 7155 specification.
Yes — comprehensive coverage. Paper 1 (theory: algorithms, data, networks, security), Paper 2 (algorithms / problem-solving), Paper 3 (programming project), Paper 4 (data + AI fundamentals). Our H2 9569 mentor walked dozens of JC2 students through the exam in 2024 and 2025.
Yes. H1 8876 (lighter load, no programming project) and H3 enrichment (for the top of the cohort, often offered through RI, HCI, NJC, ACS-I and VJC). H3 is its own world; only a small number of our mentors handle it.
Yes — and our mentors include a former IB Computer Science examiner. We support both the new IB CS syllabus (first exams 2027 onward) and the legacy 2014 syllabus. Internal Assessment scaffolding is a particular strength.
Yes — for the Computing / Maths / Science DSA streams used by RI, HCI, NUS High, NJC and others. We help shape the project portfolio that strengthens a DSA application. We don't write personal statements for students, ever.
Yes — automatically. During PSLE (late September), O-Level (October–November) and A-Level (November) exam weeks, we reduce intensity, switch to lighter review sessions, or pause entirely. No bill changes. The mentor's job is to help your child do well at school, not the other way around.
SGT (UTC+8), Singapore's only time zone. Most mentors are based in India (IST, 2.5 hours behind), so a 5 pm Singapore class is 2:30 pm in India — normal teaching hours on both ends. Saturday morning classes are also popular with IP-track families.
Code itself is always in English (Python keywords are English; GitHub is English — that's universal). But for primary-school P3/P4 learners, we can pair them with a bilingual mentor who explains concepts in Mandarin, Tamil or Malay and walks through code in English.
Every mentor undergoes a structured 4-step interview, paid trial-teaching, and an Indian-equivalent of a DBS background check. Many hold a Master's or PhD in Computer Science. We don't hire part-time uni students — every mentor is a full-time specialist teacher.
You ask, we switch — free of charge, within 48 hours. About 1 in 30 families ask for a switch in the first two months; we treat it as totally normal.
No — we deliver as a cross-border online education provider from outside Singapore, so no GST is added to your bill. Your bill is exactly the SGD equivalent of USD 100 / month for 1:1 (or USD 40 / month for cohort), at the current exchange rate.
Either. Most SG families pay by Visa or Mastercard (SGD-billed). Some pay by international transfer in USD. We accept PayNow for SGD payments where applicable, plus Apple/Google Pay. Whichever you choose, the amount converts at the spot rate on billing date.
Not currently. We're not a SkillsFuture-approved provider. However, our SGD 135/month adult rate is already below most local AI/coding bootcamps even after SkillsFuture is applied. Many adult Singapore learners find we're more cost-effective even without the credit.
One email. No phone call required. No retention agent will hassle you. We stop billing on the cancellation date — no notice period. The mentor runs any sessions already paid for, then closes out cleanly.
Yes. Many Singapore schools issue locked-down devices. We have a school-laptop setup path (VS Code in the browser via GitHub Codespaces, sandboxed Python when admin is locked). The mentor handles setup live during the first class.
Under-13s never interact with raw LLM APIs without a mentor present. We use age-appropriate models, guardrailed prompts, content filters. The AI tools your child builds are fully reviewable by you. We're stricter on this than most.
No. We start in Scratch for the youngest learners (P1–P3) and only as a bridge. By month three almost every student is writing real, runnable Python that imports real libraries, handles real errors and pushes to a real GitHub repo. We deliberately avoid "Python for kids" tools.
The mentor stays with your child. Only the time zone changes. We've onboarded relocating families to and from Singapore many times. Your child's coding rhythm doesn't get disrupted by the move.
Yes — a small annual scholarship pool for high-potential Singapore students whose families can't comfortably afford SGD 135/month. Email us a short note from the parent + a piece of work from the child. We award 10 – 15 SG scholarships per academic year, 50%–100% of the monthly fee.
Default is Zoom — what most Singapore families are familiar with. If your school or family prefers Teams, Google Meet or Webex, mentors will use whichever you prefer. We've delivered classes across all four reliably.
Sessions automatically pause for the official Singapore public-holiday days. No need to email us. The mentor coordinates make-up sessions in the following week if you want them. Same approach for Vesak, Hari Raya Haji, National Day, Labour Day and the long PSLE-marking week in early November.
Fair worry. We tell PSLE-year P5 / P6 families honestly: either start coding light, knowing the focus must remain on PSLE, or pause until November once PSLE is over. We are not in a hurry to enrol your child. Many of our best P6 starts actually begin in November after PSLE ends.
Usually it sharpens them. IP-school students who join us tend to find that 1:1 mentorship lets them go deeper than the group-class pace at school allows. The mentor's job is to complement, never compete with, the school. Many of our IP students see improved school marks within 3 months.
Under-13s never interact with raw LLM APIs without a mentor present. We use age-appropriate models, guardrailed prompts, content filters and a "sandbox-only" rule. You see every prompt and every output your child generates.
Yes — and usually they pull ahead. Most JC2 students who join us see their H2 Computing 9569 marks rise because we directly cover the syllabus they'll be tested on. We coordinate around prelims, mock papers and A-Level fortnight.
Of course. Just say so on the callback. We have an all-female mentor pool. Same curriculum, same depth, same pricing. Particularly common ask from NYGH, RGS, MGS and Cedar families.
Yes — and actually especially yes. Our mentor stays with your child across the move; only the time zone changes. Many of our Singapore families have moved to Hong Kong, Sydney, Mumbai or San Francisco with us and never switched providers.
None of our mentors are moonlighting graduate students. Every mentor is a full-time professional educator with 5+ years of teaching experience and a structured interview pipeline before they ever meet a Singapore family.
Singapore is small, but neighbourhood patterns matter. Schools cluster by area; commute times affect when classes can run; HDB-versus-condo demographics matter. Here's the granular picture of where our current SG students are based.
Heart of the IP-school cluster — Raffles Institution, Raffles Girls', Catholic High, Cedar Girls' all here. Densest concentration of our IP-track students.
Hwa Chong Institution, Nanyang Girls', ACS Independent — another deep IP cluster. Many of our advanced JC2 H2 9569 students live here.
Mix of MOE neighbourhood secondaries and a strong primary-school cluster. Many of our PSLE-age and O-Level Computing 7155 students are based here.
Near NUS & NUS High. Many of our advanced IP / DSA / NOI track students live here. Plus the adult-learner cluster working in the One-North tech zone.
International-school cluster — UWCSEA, SAS (in Woodlands but with many central families), Tanglin Trust, OFS, ISS. Mostly IB DP families.
Strong Victoria School / Tao Nan / Red Swastika / St Patrick's family cluster. Mix of MOE and IP. Several SAS-Woodlands families also live here for the lifestyle.
Smaller, premium expat cluster. Mostly international-school IB DP families. Often the highest-paid jobs and the highest-spending parents.
Growing western cluster as new HDB estates open. Mix of MOE schools and a few specialised academies. Strong demand for O-Level 7155 prep.
Singapore American School cluster (Woodlands campus) — many AP CSP / AP CSA families. Plus a sizeable MOE-secondary base.
Most Singapore primary & secondary students return home between 2 pm and 4 pm. CCA, tuition, dinner and family time fill the rest. We've engineered our class schedule around this reality:
We don't dance around this. Most of our mentors are India-based. For Singapore families — many of whom are themselves Singaporean-Indian or have strong India ties — that's often an advantage. Here's why, said plainly:
Six families across Bishan, Tampines, Holland Village, Bedok and One-North share what changed in the first six months. Names abbreviated. Every story shared with written permission from the parent.
Aarav joined in February 2025 underperforming on PSLE Maths heuristics. We didn't position coding as the solution. But after 6 months of Python problem-solving, his ability to break down PSLE-Maths heuristics (model-drawing, supposition, working backwards) demonstrably improved. PSLE Maths grade: A*.
Kai Sheng's parents wanted "challenge beyond RI's pace." His mentor Siti (ex-Hwa Chong) shifted his track toward NOI Singapore prep after spotting strong algorithmic intuition in session four. He sat NOI in IP4 and placed top 10% nationally — rare at that age. He's now the only IP5 student doing H3 enrichment at his school.
Mei Ling was strong at H2 Maths but H2 Computing was sliding. Mentor Rajesh ran weekly past-paper drills + completely rebuilt her Python OOP fundamentals. She finished her A-Levels with an 'A' in H2 9569. Now reading CS at NUS School of Computing.
Sara (the quieter twin) does Scratch game design Tuesdays; Riya (the more competitive one) does Python + micro:bit Thursdays. Different tracks, same household, same monthly bill (×2). Both girls retained at 6-month mark.
Ahmed's O-Level Computing project was a live LTA bus-arrival predictor for his neighbourhood. Final O-Level score: A1. Two months later he submitted the same project to Hack&Roll 2025 with two team-mates — Top-25 finalist out of 600+ entries.
Wei Liang is the story above (same person). Started Python from zero in May 2025. Got the Sea Group offer in January 2026. ~35% compensation increase. Now refers other DBS colleagues to us — about 20% of our SG adult-learner pipeline comes from his referrals.
We have many more. We don't publish photos or full surnames of minors — that's a hard rule. But we're happy to put you in touch (with permission) with one Singapore parent in your neighbourhood before you commit.
A non-exhaustive list of competition outcomes from Modern Age Coders Singapore students in 2024 and 2025. We don't list student names — that's a hard privacy rule — just the school, level and outcome.
These outcomes are correlated with our mentorship, not solely caused by it. A great mentor amplifies a hard-working student; we are honest about that distinction. We don't claim credit for the school, the family, the natural ability or the late-night studying.
No quiz, no pop-up, no sales pressure. Leave a +65 number, a mentor working SGT-friendly hours calls within three hours, and you decide everything from there.
We hope you've found this page useful even if you don't end up booking. Singapore parents are some of the most discerning consumers in the world — if anything here didn't make sense, didn't ring true, or felt like marketing rather than substance, please tell us. We rewrite this page based on real parent feedback every few months.