India's First IFoA Accredited Degree Program

Go beyond the traditional areas

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Quant Finance

Quantitative finance is the use of mathematical models and extremely large datasets to analyze financial markets and securities.

Actuarial Science

Actuarial science is a discipline that assesses financial risks in the insurance and finance fields, using mathematical and statistical methods.

Data Science

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract or extrapolate knowledge.

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In-demand Software Skills

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Invest in your professional goals with IAQS

This one-of-a-kind degree aims at providing students various career opportunities like:

Investment Banking

Investment banking navigates complex financial landscapes, raises capital, manages risk, and executes transactions to help clients succeed.

Data Science

Data science involves extracting insights from complex data sets using statistical and computational methods to drive informed decision-making.

Actuarial Science

Actuarial science combines analytical skills with mathematical modelling and statistical analysis to manage financial risk, playing a critical role in the insurance and pension industries.

Risk Modelling

Risk modeling quantifies and manages uncertainty using statistical and mathematical techniques, informing business decisions and mitigating potential losses.

Equity Research

Equity research analyzes financial data and market trends to provide insights into publicly traded companies, aiding investors in making informed decisions.

Asset-Liability Management

Asset-Liability Management minimizes risk and optimizes returns by managing financial assets and liabilities, helping businesses meet their obligations and achieve goals.

Finance Analysis

Finance Analysis assesses business performance using financial data to enable informed decision-making, risk management, and financial strategy optimization.

Non-Traditional Paths

Apply analytical skills and business knowledge to manage risk and solve problems in non-traditional areas like technology, environment, transportation, energy, and government institutions.

Key Highlights of the Program

ELIGIBILITY

• 10 + 2 years of education from any stream
• Cleared QAT/ ACET/ any actuarial paper and Personal Interview Round

PLACEMENT CELL

• Guidance for future career
• Resume building
• 100% Job Placement Assistance

QAT

• MCQs based test on Math, Stats and English (11th and 12th Grade – All Streams)

CAMPUS

• Situated at the heart of Mumbai
• Co-curricular and Extra-curricular activities

PRACTICAL LEARNING

• Capstone projects, job-oriented training, industry connect

L.M.S

• Revisit, Rethink and Revise lectures anywhere, anytime

FACULTY

• Industry Experts and Academicians
• 40+ Years of Cumulative Experience

GLOBAL REACH

• International tie-ups and internship opportunities

COMPLIMENTS PROFESSIONAL COURSES

• Actuarial Science, CFA, FRM, CAIA via formal education system

JOB-READY

• Platform enabling students to take lucrative career paths

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Success Stories

Ujjwal Goyal

Batch 2019 -2022

Krunal Modi

Batch 2019 -2022

Keshav Sultania

Batch 2019 -2022

Kareena Tated

Batch 2019 -2022

Dharini Shah

Batch 2019 -2022

Atharva Padwal

Batch 2019 -2022

Aryan Tripathi

Batch 2019 -2022

Devika Jyotish

Batch 2019 -2022

Semester 1

Probability and Statistics Financial Mathematics Insurance – Principles, Products and Practices Business Finance Research Methodology Application of IT – Basic and Advance Excel

Semester 2

Portfolio Theory and Security Analysis Financial Engineering – 1 Business Economics Statistical and Risk Modelling -1 Introduction and Modelling in R Fixed Income Products

Semester 3

Statistical and Risk Modelling – 2 Statistical and Risk Modelling – 3 Pricing and Reserving for Life Insurance Products -1 Actuarial Practice – 1 Model Documentation Analysis and Reporting Application of IT – Python

Semester 4

Statistical and Risk Modelling – 4 Pricing and Reserving for Life Insurance Products – 2 Actuarial Practice – 2 Predictive Analysis and Machine Learning Application on Actuarial Software – Prophet Project Based Internship

Curriculum Ideology

The curriculum is delivered in three ways:

Knowledge - Classroom Session

  • Assignments & Projects: Our dedicated team of professors is always eager to guide students at every step of their projects. Such assignments and projects undoubtedly offer our students an opportunity to meet, interact and build relationships with popular and experienced people in the BFSI (Banking, Financial Services and Insurance) Industry.

  • L.M.S: Learning Management System is our online space designed to cater to best learning for the millennials. Students have access to the lectures conducted in class on this portal, wherein students can revisit, rethink and revise lectures anywhere, anytime. This portal is also a one-stop-shop for all the assignments, practice questions and daily schedules.

    • Skills - Practical Learning

  • Industry Connect Workshops: To keep the students informed about the latest happenings in the industry, we frequently organize uniquely designed workshops and seminars, which are focused on highly practical topics, which are short-listed by our team of experts.

  • Case Studies: Case studies highlighting various practical and situational issues are regularly discussed during classroom sessions. Exploring such live Case Studies and then identifying what went wrong or what could have been done better helps students to streamline their thought process.

    • Application Of Knowledge and Skills

  • Projects: These are used as a platform for students to translate all their learnings in solving a scenario-based question. These are curated by the faculty to help students amalgamate all their learnings from each semester and to draw parallels with industry realities.

  • Placement Cell: We have a dedicated placement cell which aims at providing 100% placement assistance to students along with guiding them for future career options and resume building.
    • Bachelor’s degree in any discipline (Commerce / Engineering / IT background / Mathematics) with a minimum of 70% in Semester 5
    If the Semester 5 marks are <70% then students need to give an aptitude test – QAT and Clear a Personal Interview Round
    To master the necessary skills, gain a comprehensive foundation and ensuring depth in the field of Banking, Financial Services and Insurance (BFSI) industry.
    This one-of-a-kind degree aims at propelling into the profession by offering strong fundamentals in: Actuarial Science
    Insurance
    Finance
    Investments
    Risk Modelling
    Data Analytics
    Asset – Liability Management

    Course Curriculum

    This semester brushes up on the basics of calculus and statistical methods. It aims to introduce the students to the world of cash-flow models and time value of money which forms the basis of financial mathematics. The course aims at providing a bird’s eye view of the workings of a life insurance company.

      Major Course
    • Probability and Statistics
    • Financial Mathematics
    • Business Finance
    • Insurance – Principles, Products and Practices
    • Research Methodology

      Elective
    • Introduction to Derivatives & Financial Markets
      OR
    • Applications of IT- Basics & Advance Excel

    This semester delves deeper into understanding the statistical methods, financial analysis and is a refresher for algebra. It familiarizes students with the concepts of Actuarial models and provides an overview of the workings of a non-life insurance company.

      Major Course
    • Portfolio Theory & Security Analysis
    • Financial Engineering-1
    • Statistical & Risk Modelling -1
    • Business Economics
    • Fixed Income Products

      Capstone Project
    • R – Project

    In this semester, students will learn about risk modelling, mortality tables and how one can make the mortality tables fit for industrial use. It introduces one to the primary and secondary financial market.

    Students will also develop an understanding of the workings of competitive markets and behaviour of consumers. Concluding the semester, the students would get a first-hand experience by solving business problems.

      Major Course
    • Pricing & Reserving for Life Insurance Products – 1
    • Statistical & Risk Modelling – 2
    • Statistical & Risk Modelling – 3
    • Application of IT – Python
    • Model Documentation & Analysis

      • Elective
    • Actuarial Practice – 1
      • OR
    • Professional Ethics

      Field Project
      Live Project

    This semester equips one with understanding of various concepts required for model building. It acquaints them with fixed income products and introduces one to the macro side of the economy. The course expands the student’s knowledge of pricing and hedging of derivatives.

      Major Course
    • Pricing & Reserving for Life Insurance Products – 2
    • Statistical & Risk Modelling – 4
    • Predictive analytics and machine learning
    • Application of Actuarial software – Prophet

      • Elective
    • Actuarial Practice – 2
      • OR
    • Business Communication

      Field Project
      Live Project

    Students have to undertake an internship before the last year begins. The Placement Cell will assist students in the internship process. The internship also helps students select their subjects for specialisation.

    Choose your elective for specialization
    At the beginning of the 5th semester, students are given an option to choose electives of their choice with the aim of specialization.
    Elective A: Actuarial Science
    Elective B: Quantitative Finance

    Class Profile

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