Why is Math important

First, it’s better to ask yourself another question: Do we like math?

The answer is probably not as simple as it might seem. Let us not rush to answer based on years of mechanically applied formulas.

Instead let’s pause for a moment and ask ourselves if we want to understand, for example, how to count the number of fingers of a supernatural being, for which 7 + 5 is 14 instead of 12;

If we are curious to know that an infinite number of numbers can be added and, under certain hypotheses, the result may change as the order of addition keeps changing;

We are fascinated by the possibility of learning to calculate the volume of a sphere in space, for example, 8 dimensions instead of 3.

Mathematics is a diverse and fascinating discipline that combines abstract reasoning with powerful practical applications. This is already a good reason to study mathematics.

In the context of the natural and social sciences, mathematics provides a powerful and elegant tool that allows us to describe concepts that are not accessible to ordinary language with efficacy and accuracy.

Here is how, for example, the number “p” appears in the fundamental distribution used in the figure, the ratio between the length of the circumference and the diameter.

Importance of math

In the field of theoretical physics, the classification and study of elementary particles is possible thanks to sophisticated algebraic and analytical techniques.

In economics, complex methods of mathematical calculation of probabilities play a fundamental role in the analysis of financial markets.

The examples do not end here and there are many in engineering, biology, medicine… Applied mathematicians have a lot to say in these fields.

Almost all the fundamental concepts and arguments of some of the most important modern sciences are represented in a precise pre-existing mathematical language, without which it would not be possible to argue or even think in these sciences.

How can scientists, for example, the inventors of the Standard Model of elementary particles, have a “ready-to-use” repository of mathematical notions, for example, the theory of Lie groups and the theory of their representations?

One answer, which captures most of the truth, is that the mathematicians who accumulated this knowledge were not motivated by particular applicant interests,

But that they “only” wanted to understand “how the mathematical world worked”.

And for that reason, they went in all possible directions creating a universe of ready-to-use concepts and techniques. This is the work of a pure mathematician, as important as that of an applied mathematician.

Mathematics is studied in the University with zeal and passion. It should also be kept in mind that nowadays Mathematics graduate offers good job prospects.

It is permissible and interesting to combine a bachelor’s degree in mathematics with a separate master’s degree in economics, covering a wide range of opportunities.

If I don’t come from Scientific High School can I still do it?


Some of the teachers in mathematics department come from technical institutes or classical high schools.

Some of our best students have studied at high schools other than Arts High School or Scientific High School. Of course, scientific high school is an excellent foundation.

The student needs to employ a certain ability for logical reasoning (and loving maths probably won’t be a problem) and, importantly, he has to study day to day.

In fact, mathematics is a typically cumulative subject in which every day, in the classroom, we take one small step that, in the long run, could “lift us on the shoulders of giants”, as Newton wrote.

Enrollment in a math

degree course requires passing an access test, given that there is currently a programmed number of 90 freshmen. The test is about basic maths and logical reasoning.

The test is similar to the self-assessment tests devised by OrientMate, when the programmed number was not yet established.

You can try taking an Orientamate test which can give useful information about the individual preparation status.

Similar tests can also be found on the Scientific Degree Project page (see Explicitly Declared Tests for Mathematics).

Mo to say that three courses of study cannot be in the same subject (mathematics in the case of the question) and can be followed in different universities, including non-Italian.

So, for example, in principle, a student with a three-year degree in mathematics, physics or engineering (or other subject, a special commission evaluates various cases) could be admitted to a master’s degree in mathematics.

Other Italian or foreign universities of the European Community. In the same way, for example, can lead to admission to a research doctorate in mathematics, physics, engineering or other subjects at another Italian or European community university.

Bachelor’s Degree:


The first two years of this first-level university study in mathematics are essentially preparatory, and include basic courses in various areas of mathematics: analysis, geometry, algebra, numerical analysis, mathematical physics, probability and statistics.

To this are added courses in Physics and Computer Science and optionally in Biology and Economics. In the third year it is possible to choose from a few specific preparatory courses for the master’s degree. You can choose from the following.

the preparation of a comprehensive master’s degree in mathematics aimed at comprehensive training courses, especially research activities;


Training courses for the Master’s degree in Communication and Teaching in the Secondary Schools of Mathematics and Science;


Training courses for the master’s degree in mathematics focused on the topics of computational algebra, cryptography, error correction codes;


An applicant type training course for a master’s degree in mathematics, particularly on the topics of mathematical models in biology or finance;


Curriculum with courses in Economics and Finance that prepares you to continue with the Master’s degree in Finance, offered by the Department of Economics and Management.


The main reason is that a good knowledge of English is a key requirement for a qualified job, either inside or outside the academic environment.

In addition, the presence of an increasing number of foreign students creates a stimulating study environment, in which the lingua franca is English, and allows for the creation of a network of friendships around the world.

Advanced Mathematics:

A Comprehensive Training Course in Mathematics. It is a course that initiates research in the core areas of advanced mathematics: algebra, analysis, numerical analysis, mathematical physics, geometry, mathematical logic, probability and statistics, dynamical systems and control theory.

The natural consequence of such a path is a PhD in mathematics and a desirable subsequent insertion into the academic world of research.


Teaching and Scientific Communication: A curriculum aimed at teaching mathematics in secondary schools and communicating mathematics and science.

The natural result of such a path is an active training internship in mathematics.

The department also has a Mathematics Education and Communication Laboratory, which coordinates the orientation of secondary school students, assists in the initial and ongoing training of teachers, organizes exhibitions and other dissemination initiatives.


Cryptography:

courses oriented to computational algebra, cryptography and error-correcting codes;

As in the current crisis, one area where companies do not skimp on resources is that of security, as for example a banking institution can save significantly by improving the security of its online banking system.

This course of study brings the student closer to the most advanced techniques with a deep mathematical content of algebra, geometry and probability used in most modern cryptographic systems.

Students on this path are offered internships at leading companies in the field, applying the mathematical tools learned in their studies to problems of practical interest to companies.


Modelling, Statistics and Analysis of Biosystems:

A Path Oriented to Model, Statistics and Analysis of Biosystems.

This path introduces the rich field of biomathematics. For example, mathematical models for epidemics and the study of resulting strategies for the prevention and treatment of infectious diseases.

For simulation for biomedical applications.

This approach leads to interesting problems in mathematically modeling blood flow in arteries and veins, especially when a stent has been inserted into the bloodstream.


The last two routes fall within the general curriculum called Maths and Statistics for the Life and Social Sciences. For them, internships are in hospitals, health care companies, etc.

The curriculum also includes the courses “Mathematics for Data Science” and “Modeling, Statistics and Analysis in Financial Mathematics”.

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