THE MATH KNOWLEDGE TO PURSUE ACTUARIAL SCIENCE

Life without mathematics is impossible and unimaginable.

There are things which seem incredible to most men who have not studied mathematics.” as said by Aristotle.

Mathematics is a universal language mutual to all individuals, irrespective of their culture, religion, or gender, and followed all over the world in same manner without any deviation in every sphere of life.

Living a life without knowing 'Maths' would be like living in null and void. In real life the use of Mathematics can be applicable to every aspect, field, profession and subject like in IT field, in Accounts, in Actuarial Science, in Data Science and many fields.

Our modern life style is completely handicapped and highly improbable, in the absence of mathematics. Unless we are well versed with numbers, we would find it difficult to reach at important decisions and perform everyday tasks. Be it to shop wisely, or refashion a home within a budget, knowledge of mathematics holds the key, and hence, barely necessary. 

“Mathematics is the gate and key of the sciences. …Neglect of mathematics works injury to all knowledge, since he who is ignorant of it cannot know the other sciences or the things of this world.” By Roger Bacon 

It goes without saying that you will absolutely need all the other pearls of knowledge.

The knowledge of this essential math is particularly important for newcomers arriving at actuarial science from other professions: hardware engineering, retail, the chemical process industry, medicine and health care, business management, etc. Although such fields may require experience with spreadsheets, numerical calculations, and projections, the math skills required  can be significantly different.

Top Essential Math Concepts

We designed 50+ hours of essential math topics which will help the students who either did not study mathematics till 12th class or its studied before a long time. The video tutorial that covers all the basics, explaining concepts such as differentiation, Integration and their applications, double differentiation, equation of straight lines, differential equations, probability ,statistics, random variables, discrete distributions, continuous random variables, probability mass function, probability density function, Binomial distribution, Normal Distribution etc.