By Professor Dato Dr Ahmad Ibrahim
Walk into any university engineering workshop or computer science lab, and you’ll hear a quiet confession whispered among students: “I love building things, but the math terrifies me.” That fear is not a failure of character. It is a failure of curriculum.
The claim that “mathematics is the root subject to excel in STEM” has become a cliché—repeated at education conferences, scrawled onto whiteboards, and printed in glossy school brochures. But like most clichés, it is profoundly true, and we ignore its implications at our peril. Yes, many agree a weak foundation in mathematics cripples a student’s ability to truly master science, technology, and engineering. Yet schools continue to treat math as an abstract obstacle course rather than the conceptual skeleton of the physical world.
The skeptics will argue that plenty of successful programmers or technicians get by with basic arithmetic and a good search engine. They miss the point. There is a vast difference between operating within a STEM field and excelling in it. To understand why a bridge stands, why a signal transmits noise-free, why an algorithm scales efficiently—or why a statistical model is lying to you—you need more than formulas. You need mathematical thinking: logic, abstraction, structured problem decomposition, and the ability to move between the concrete and the general.
When a student struggles with calculus-based physics, the root cause is rarely “physics.” It is the algebra and trigonometry lurking inside the equations. When a computer science student cannot analyze the runtime of a recursive function, it’s not a programming problem—it is a gap in discrete mathematics and functions. When a budding biologist misinterprets drug trial results, the culprit is often shaky statistics and proportional reasoning. Mathematics is not one subject among many; it is the substrate in which STEM problems are embedded.
Here is the uncomfortable truth: students do not have a “poor foundation” because math is hard. They have a poor foundation because we teach math as a series of disconnected rituals. Memorize the quadratic formula. Perform long division. Graph a sine wave. Rarely do we ask: What does this allow us to see? By the time a student reaches high school physics, they have learned dozens of mathematical techniques but never why those techniques were invented to model motion, growth, or uncertainty.
A student passes algebra with a C but cannot tell you how a variable relates to a changing real-world quantity. They move on to calculus, where they are expected to think about rates of change, but they cannot comfortably manipulate the underlying functions. The curriculum is a house built on sand—and the sand is rote memorization without context.
If we are serious about building a strong STEM pipeline, we must stop treating math as a filter to weed out the “naturally gifted” and start treating it as a foundational literacy—as essential as reading. That requires three radical shifts: Integrate, don’t isolate. Teach mathematical concepts alongside their applications. Show why geometry is necessary for computer graphics before teaching proofs. Use coding to explore algebraic functions. Make science labs explicitly mathematical: measure, model, predict, and refine.
Master fundamentals before accelerating. Many schools race to calculus because it looks impressive on transcripts. But a student who is shaky on fractions, ratios, and linear equations has no business in calculus. Slowing down to ensure deep fluency in arithmetic, algebra, and data literacy is not remedial—it is strategic.
Change the story. Too many students internalize the idea that they are “not a math person.” That is a cultural myth, not a biological fact. Schools must replace speed and memorization with sense-making and discussion. Math is not about getting the right answer in thirty seconds; it is about reasoning, error analysis, and approaching problems from multiple angles.
The cost of inaction. Every year, talented young people abandon STEM tracks not because they lack curiosity or diligence, but because they hit a wall of mathematical abstraction that no one taught them to climb. They conclude they are not “smart enough.” That is a tragedy—and a waste of human potential. Worse, it narrows STEM to those who had the privilege of good math teaching early on, exacerbating inequity.
So yes: mathematics is the root subject to excel in STEM. But a root, when starved of sunlight and soil, produces nothing. The sunlight is real-world relevance. The soil is patient, conceptual teaching. If schools only double down on testing and speed, the root will wither. If they instead rebuild mathematics as a vibrant, connected, and supportive discipline, they will water the entire garden of STEM. Let’s stop guarding the gate. Let’s build the path.