Undergraduate Programme
For Men
Duration: 4 Years
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 university 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.
- 9 SOA Exams in the pathway to become an Associate of the Society of Actuaries (ASA)
- 9 CAS Exams in the pathway to become an Associate (ACAS)
- 4 CAS Institute Exams in the pathway to become Certified Specialist in Predictive Analytics (CSPA), and
- 5 Skill development courses to excel in programming and communication
There is a special focus on Actuarial Data Science hands-on projects using R and Python.
B.S. (Hons.) in Actuarial Data Science
For students who complete a 4-year (8-semester) programme of study.
B.S. (Hons. with Research) in Actuarial Data Science
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.
Exit options as per NEP 2020 Policy.
- 10+2 years of schooling from a recognized board (CBSE or equivalent)
- Either passed or appeared for Final exams at XII level before Admissions. If not appeared for XII Standard exams, X and XI Standard marks will be considered
- Consistent academic performance of 60% aggregate marks in X and/or XII Standard
- Age: Preferably below 19 years as of 30th June in the year of admission
YEAR 1
Semester 1
Probability & Statistics
Financial Mathematics
Business Economics – Micro
Introduction to R
Excel Basics for Actuarial Practice
Semester 2
Fundamentals of Actuarial Mathematics
Data Concepts and Visualization
Business Economics – Macro
Actuarial mathematics using R
Excel Advanced for Actuarial Practice
YEAR 2
Semester 3
Advanced Short-Term Actuarial Mathematics – I
Advanced Long-Term Actuarial Mathematics – I
Corporate Finance
Introduction to Python
Actuarial Communications – I
Semester 4
Advanced Short-Term Actuarial Mathematics – II
Advanced Long-Term Actuarial Mathematics – II
Accounting for Financial Institutions
Introduction to Machine Learning
Property and Casualty Insurance Fundamentals
Actuarial Communications – II
YEAR 3
Semester 5
Statistics for Risk Modelling – I
Introduction to Deep Learning
Modern Actuarial Statistics – Part 1
Advanced Actuarial Statistics – Part 1
Predictive Analytics using R – I
Predictive Analytics using R – II
Course on Ethics and Professionalism
Semester 6
Statistics for Risk Modelling – II
Modern Actuarial Statistics – Part 2
Advanced Actuarial Statistics – Part 2
Predictive Modelling using Python
Advanced Topics in Predictive Analytics
Mini-Project
YEAR 4
Semester 7
B.S. (Hons.) Courses:
Basic Ratemaking
International Regulation P&C
Actuarial Practice I
Actuarial Practice II
B.S. (Hons. with Research) Courses:
Basic Ratemaking
International Regulation P&C
Research Methodology
Project
Semester 8
B.S. (Hons.) Courses:
Estimating Claim Liabilities
Financial Economics
Financial Reporting
Mini Project
B.S. (Hons. with Research) Courses:
Estimating Claim Liabilities
Project