*“Mathematics is the language in which God has written the Universe.”*

*“Mathematics is the language in which God has written the Universe.”*

This is exactly what the famous Italian astronomer Galileo Galilei had to say about the subject.

And rightly so, because there is hardly any phenomenon on the face of this planet that does not involve the basic and complex concepts of Math.

Let us take for example the axis of the Earth. If it were tilted at an angle slightly deviated at an angle other than the one at the moment, then there would be a high chance that we would not have existed at all.

Yet another example can be seen in the case of flowers, where the number of petals consistently follows the Fibonacci sequence (0, 1, 1, 2, 3, 5,….).

Like the number of petals of a lily is 3, while that of buttercups is 5, and that of chicory is 21, and the list goes on.

*(**Bonus Info: **Even, Florence Nightingale, the famous nurse during the infamous Crimean War made use of Mathematics, where she used Statistics to investigate the mortality rate in Turkey, where she found out that soldiers were dying not due to war but due to lack of proper sanitation.)*

However, whenever it comes to a discussion about the relevance of math in the real world, many experts have many different opinions.

Many feel the time has arrived when the way the subject is taught and the subject is learnt, should go under the knife.

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## **But are things really changing?**

And things indeed are changing thanks largely to the development of technology and with the advent of portals like Buy Online Class, which helps students by providing online classes and courses on one hand.

**Let us run a quick study on the need for mathematics in the 21****st**** century – **

With Artificial Intelligence and Machine Learning taking huge leaps literally every next day, the need for experts in mathematics is only going to increase as well.

Not only that, but the demand for technically sound engineers and computing experts along with Mathematicians will also see a steep rise so as to complex problems across various industrial sectors.

And if one goes the McKinsey report more than 65% of all kinds of industries are going to get fully mechanized or automated, thereby making the necessity of technical people even more imperative.

**So, what kind of job can a Math graduate expect in this era?**

A Math graduate of the present era can very well expect to find jobs where they will be required to find and represent certain specific patterns.

Also, they will be required to develop their problem-solving skills as well as their logical, critical, and computational thinking.

Moreover, according to David Deming, who is the Associate Director of Education and Economics at Harvard University, has successfully mapped the changing mindset of employers across every sector.

Nowadays, employers are looking for personnel who along with possessing social skills also have outstanding Mathematical knowledge.

**How is Math used in different sectors?**

- Statistics which is a “study about us” according to many experts, can be used to look at problems that affect us.

For example, it can be used to calculate the average amount it takes in order to pay off a student loan with the help of the measurement from the central tendency.

- If anyone is in the renewable energy sector, then he or she can use Geometric and Trigonometric functions in order to maximize solar panel placement.
- It has uses in the financial sector as well. For example, Algebraic equations can be used to good effect in completing a loan application.
- Conrad Wolfram, who is the founder of a reputed educational website, went one step further in order to encourage students to use Calculus so as to pick holes in the data provided by the Government and also to crack secret codes.

However, all of this aforementioned information will go down the drains if we fail to upgrade the way in which Math is being taught. Hence, ….

**…Let’s see how learning Mathematics is slowly changing in the 21****st**** century – **

There is a lot that has been done and there is a lot that can still be done in order to bring thinking of a higher-order and learning to students of Mathematics while putting the subject in the context of a real-world situation.

**Learning methods that are student-centered**

Traditional methods of teaching should be done away with and a learning method should be developed which will solely be centered towards the need of a student.

Social constructivism should be encouraged as it facilitates the exchange of knowledge through collaboration via different activities and tasks.

**Challenge-driven model**

Another mode of learning is the now well-known challenge-driven model, which puts a student against a difficult problem with no definite answers. This, in turn, makes these students collaborate with their friends and with organizations outside of the campus with the aim of finding a solution.

This model of teaching can also be applied to various unsolved problems in society and science with the main aim being creating new knowledge in place of learning it in a classroom.

This might encourage teachers to teach students of any other discipline to solve problems within their respective industries using the help of Mathematics.

**Teaching Mathematics with the help of real-world examples**

When one learns something in direct engagement with real-world problems, then there is the possibility of learning that subject faster and in a more efficient way.

And this is, in fact, very much true in the case of Mathematics. This is mainly because of the fact that when practice and theory complement each other, the process of learning becomes not only more fun but also makes it a holistic process.

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## **In conclusion **

Mathematics is a subject that will always remain relevant, whether it is the 21st century or the 22nd century.

This is because, as the days go by technological development will only become more and more apparent and so will the need of technically and mathematically sound personnel who are well equipped with concepts like Artificial Intelligence and Machine Learning.

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