B.Sc Acturial Data Science Hons with Research at SSSIHL Prasanthi Nilayam Offline Course

For men only

Actuarial data science specializes in analyzing risk using multidimensional thinking, going beyond numerical calculations. It leverages data science tools like Artificial Intelligence and Machine Learning Models, integrating mathematics, statistics, human behavior, and business insights. This approach anticipates real-world outcomes, assessing risks across emerging sectors such as Metaverse, Electric Vehicles, Cybersecurity, Gaming Industry, and Environmental, Social, and Governance (ESG) factors. Actuaries also tackle challenges in Fraud Detection, Cryptocurrency, International Financial Reporting Standards (IFRS), Real Estate Residual Values Insurance, and Enterprise Risk Management, playing a crucial role in societal risk management. They extend their expertise to traditional domains like life, pensions, health, crop, cancer, property damage, and catastrophe insurance, ensuring comprehensive risk mitigation strategies. SSSIHL stands out as one of the four global universities honoured with the Casualty Actuarial Society (CAS) University Award in 2022 for pioneering Property & Casualty Insurance (P&C) actuarial education. Founded in 1914, CAS is the world’s only actuarial organization focused exclusively on property and casualty risks and serves over 10,000 members worldwide. Attaining Gold Level recognition and the Society of Actuaries (SOA) Universities & Colleges with Actuarial Programs (UCAP) Advanced Curriculum, SSSIHL is the only Institute in India to achieve all three prestigious distinctions. This programme is suited for students who love numbers, especially modelling and probability, with an interest in the use of data science tools and techniques to solve real-world problems. It will set them up for a career in actuarial science The programme is strategically introduced based on relevance to industry demands, the integration of practical skills, fostering adaptability and future readiness, promoting ethical and integral education, and maintaining a balance between academia and industry engagement. The programme includes a comprehensive curriculum encompassing core actuarial and data science courses

For students who secure a CGPA of 7.5 or more after the first six semesters (3 years of study) and opt to pursue research.