Maharishi School of Science & Engineering is one of the important components of the University, imparting education in all streams of science and engineering, including computer application. Scientific education and research make significant contributions to knowledge generation, technology development and translation, and our economic and societal development. Our faculty includes internationally recognized innovators who contribute to the advancement of engineering and computing knowledge as well as the development of everyday products used by millions of people worldwide.
B.Sc. STATISTICS AND ACTUARIAL SCIENCE
B.Sc. in Statistics and Actuarial Science is an undergraduate course. This is the field that uses statistical and mathematical techniques to evaluate risk in the insurance and financial sectors. Students who enroll in the three-year B.Sc. in Actuarial Science programme learn about insurance risk estimation, insurance premiums, and the use of economic and mathematical analyses for decision-making in financial planning, insurance investment, and management, among other topics. The greatest course to understand fundamental mathematical concepts is this one.
Students gain knowledge of the field that evaluates finance and uses probability and statistical mathematics to identify, examine, and resolve the financial ramifications of uncertain future events.
This course covers risk assessment and preserving the financial health of insurance or financial organizations.
Career Prospects
An Actuary can perform various roles in different jobs, such as product pricing, financial modelling, valuations, risk management, carrying out peer reviews, designing social security schemes and more. Actuaries have a plethora of job opportunities in both the Public and Private Sectors.
B.Sc. In Statistics & Actuarial Science
3 years (6 semesters) / 4 years (8 semesters)
10+2 minimum 35% marks for Gen and 33% for SC/ST/PWD
Statistics & Actuarial Science
*As per Four Year Undergraduate Programme and NEP 2020 framework. It is also based upon the evaluation scheme by MUIT
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