Coding is now taught across university departments that have nothing to do with technology. Engineering, data science, economics, journalism, medicine, design. The problem this creates is straightforward: students who arrive at university without any exposure to coding or digital literacy spend their first year catching up while their peers move forward.
Coding ability has moved well beyond the tech sector. Professionals in finance, marketing, logistics, and public policy who can write a basic script, read a database query, or understand how an algorithm works are more effective than those who can't. For school students, starting earlier makes a real difference.
What Coding Actually Teaches
The obvious argument for coding in schools is employability. The deeper argument is cognitive. Learning to code teaches a student to think in a specific way. It requires breaking a problem into steps precise enough for a machine to follow. It requires anticipating what could go wrong. It requires understanding the gap between what you mean and what you've actually told the machine to do, which are often very different things.
These ways of thinking can make a big difference. When a student knows how to break a larger problem down into smaller, more easily digestible steps while coding, that instinct can transfer to a history essay, a proof in math class, and then a real-world job problem. Even if the particular tool or technique is not useful for the particular task, the thinking technique is transferable.
Coding also teaches debugging, which is less satisfying than building something but more important. Most professional work involves identifying why something isn't working and fixing it. A student who has spent hours tracing an error through their own code, finding the single line where the logic broke, and correcting it, has practised a form of systematic analysis that few other school subjects develop as directly.
Why the School Years Are the Right Time
Language acquisition research has a well-established finding: learning a language earlier is the best way to acquire faster fluency. The grammar internalises rather than being consciously applied. The vocabulary accumulates through exposure rather than deliberate memorisation. The accent comes naturally rather than being approximated.
Programming languages work similarly. A student who has been writing code since primary school arrives at a computer science class in senior secondary without the anxiety that surrounds an unfamiliar discipline. The concepts build on things already known. The student encountering code for the first time at fifteen is doing two things simultaneously: learning the concepts and managing the discomfort of being a beginner in something peers may already know. The cognitive load is higher. The learning is slower.
The Languages worth Learning at School
For school students s ta r t i n g out, a few languages are particularly well-suited to the learning stage. Scratch is the standard entry point for younger students. It uses visual blocks rather than typed syntax, which removes the friction of precise punctuation and lets students focus on logic and structure. The transition from Scratch to text-based languages is smoother than starting from scratch, so to speak, with typed code.
Python has become the most common text-based language for school education globally. Its syntax is readable, its error messages are relatively informative, and its applications are broad enough that whatever a student wants to build, there is likely a Python approach to building it. Python is the foundation for data science, web development, automation and artificial intelligence.
HTML and CSS aren't programming languages in the technical sense, but they're worth learning early. Every student who builds a webpage develops a concrete understanding of how the internet works, how pages are structured, and how search engines read a site.
What the Job Market Is Actually Asking For
Across the sectors that employ large numbers of graduates, the profiles that stand out combine a primary qualification with some coding capability. A finance professional who can write a script to pull and clean data rather than doing it manually has a practical advantage. A journalist who can scrape a public dataset and visualise it has access to more stories. A marketing professional who understands how an algorithm prioritises content makes better decisions about what to produce. A healthcare a d m i n i s t r a t o r who can write a basic query to extract patient data is more useful than one waiting for IT support every time they need a report.
None of these roles require a computer science degree. They require enough coding literacy to use the tool when it's the right one.
Coding at Thakur International School
Thakur International School includes coding as a part of its academic programme. Students engage with programming as a skill built into their education rather than an optional extra, which means the foundations are being laid during the years when they settle most naturally and carry furthest.
For families in the western suburbs looking at schools in Kandivali that take digital literacy seriously, this is worth factoring into the decision alongside the more visible markers like board results and infrastructure.
The Broader Point
A generation from now, coding literacy will be looked at the way writing literacy is looked at now: as a basic capability that educated p e o p l e are expected to have, and whose absence is a disadvantage in almost every professional context. The students who build that capability at school will carry it forward. The ones who don't will acquire it later, at greater effort, and typically to a shallower level. The school years are when this is easiest. That window doesn't stay open indefinitely.