CHRIST (Deemed to University), Bangalore

DEPARTMENT OF PROFESSIONAL STUDIES

School of Commerce, Finance and Accountancy

Syllabus for
Master of Science (Actuarial Science)
Academic Year  (2023)

 
1 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MAS131 FINANCIAL MATHEMATICS AND LIFE CONTINGENCIES-I Core Courses 4 4 100
MAS132 ACTUARIAL STATISTICS - I Core Courses 4 4 100
MAS133 BUSINESS FINANCE-I Core Courses 4 4 100
MAS134 LIFE INSURANCE AND PENSIONS Core Courses 4 4 100
MAS135 BUSINESS ECONOMICS - I Core Courses 4 4 100
MAS151 DATA ANALYTICS USING R PROGRAMMING Core Courses 2 2 50
MAS152 BUSINESS APPLICATION SOFTWARE Core Courses 2 2 50
2 Semester - 2023 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MAS231 FINANCIAL MATHEMATICS AND LIFE CONTINGENCIES-II - 4 4 100
MAS232 ACTUARIAL STATISTICS - II - 4 4 100
MAS233 BUSINESS FINANCE-II - 4 4 100
MAS234 RISK MODELLING AND SURVIVAL ANALYSIS-I - 4 4 100
MAS251 FINANCIAL MATHEMATICS AND LIFE CONTINGENCIES USING EXCEL - 3 3 50
MAS252 ACTUARIAL STATISTICS USING R PROGRAMMING - 2 2 50
MAS253 RISK MODELLING AND SURVIVAL ANALYSIS USING R PROGRAMING - I - 3 3 50
3 Semester - 2022 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MAS331 FINANCIAL MATHEMATICS AND LIFE CONTINGENCIES-III Core Courses 4 4 100
MAS332 BUSINESS ECONOMICS-I Core Courses 4 4 100
MAS333 FINANCIAL ENGINEERING-I Core Courses 4 4 100
MAS334 RISK MODELLING AND SURVIVAL ANALYSIS-II Core Courses 4 4 100
MAS335 GENERAL AND HEALTH INSURANCE Core Courses 4 4 100
4 Semester - 2022 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MAS431 RISK MODELLING AND SURVIVAL ANALYSIS-III - 4 4 100
MAS432 BUSINESS ECONOMICS-II - 4 4 100
MAS433 FINANCIAL ENGINEERING-II - 4 4 100
MAS434 RESEARCH METHODOLOGY - 4 4 100
MAS435 BUSINESS MODELS AND COMMUNICATION - 4 4 100
MAS451 FINANCIAL ENGINEERING USING EXCEL - 2 2 50
    

    

Introduction to Program:

M Sc Actuarial Science is designed to give candidates from quantitative, commerce and Economic backgrounds an opportunity to launch their careers in Actuarial Science. It is a discipline that applies Mathematical and Statistical methods to assess risk in the insurance and financial industries. This course provides a solid foundation in the core principles and techniques of Actuarial Science. MSc Actuarial Science is a two-year postgraduate course spread over four semesters comprising modules on Financial Mathematics, Actuarial Statistics, Insurance and Economics. The course covers key areas in global business with in-depth coverage of Risk Management opening a plethora of opportunities in the insurance and global investment sectors. The course is dedicated towards dealing with real-world scenarios and application of the analytical process that students are trained for; practical application, case studies and market analysis with experts guiding individuals will be an important aspect of the learning process. A qualified person in MSc actuarial science would be having a basic foundation and a solid platform from which they can proceed to becoming an actuary. They can use their quantitative skills to analyze data from the past and present, in order to predict the future and help others make prudent and intelligent financial decisions.

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO1: Apply the fundamental theories of actuarial science as applicable in various domains of the industry

PO2: Demonstrate expertise in Mathematics and Statistics to perform Actuarial modeling to formulate solutions for problems concerning the industry

PO3: Exhibit proficiency in the areas of finance and economics and assume the role of actuarial experts and offer pertinent consultancy services

PO4: Exhibit expertise in enterprise risk management and thereby equip organisations to manage risks effectively

PO5: Apply advanced knowledge of research and statistics to conduct independent research investigations and formulate solutions to complex problems of insurance and actuarial science by applying right tools.

PO6: Demonstrate leadership traits, communication skills and innovative thinking for optimal performance in personal, professional, societal and environmental domains.

PO7: Exhibit ethical values, social sensitivity and sense of equality to embrace diversity and inclusion and promote peaceful co-existence

Assesment Pattern

PERCENTAGE

GRADE

GRADE POINT

INTERPRETATION

CLASS

75 & Above

   A+

  4.0

OUTSTANDING

DISTINCTION

70 --- 75

   A

  3.5

EXCELLENT

FIRST CLASS

65 --- 69

   B +

  3.0

VERY GOOD

FIRST CLASS

60 --- 64

   B

  2.5

GOOD

FIRST CLASS

55 --- 59

   C +

  2.0

AVERAGE

SECOND CLASS

50 --- 54

   C

  1.5

SATISFACTORY

SECOND CLASS

40 --- 49

   C -

  1.0

EXEMPTED WITH 50% AGGREGATE

PASS CLASS

39 & Below

   F

    0

Fail

Fail

 

Minimum marks required for passing ESE shall be as under:

SEMESTER I to IV: 40% per paper Aggregate Average 50%

 

Examination And Assesments

The applicable evaluations are CIA-1, CIA –2 (based on Mid-Sem examination), and CIA –3 based on internals.

Pattern of End Semester Examination question paper for 100 marks of 3 hours’ duration will be as follows:

There will be six questions, each carrying twenty marks, out of which any five has to be answered.  

MAS131 - FINANCIAL MATHEMATICS AND LIFE CONTINGENCIES-I (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The Master of Science in Actuarial Science program is designed to prepare students to pursue careers in quantitative finance. The aim of this course is to provide grounding in Financial Mathematics and their applications. Increasingly firms of all types, but especially financial institutions, investment banks, and commodities firms, rely upon highly sophisticated mathematical models to identify, measure, and manage risk.Topics covered also include the life table, life assurance contracts, life annuity contracts.

Course Outcome

CO1: Understand the principles of Actuarial modelling and cashflow models and apply them in real-world problem

CO2: Apply the financial mathematics concepts like time value of money, calculation of present values and accumulated value of cashflows, annuities, project appraisals, NPV, loan schedule etc.

CO3: Understand the concepts of financial instruments, cashflows associated with different assets classes, present value and accumulated value of investments, project appraisal, net present value, capital repaid & interest paid on loans and preparing loan schedules etc. and would be in a position to pass the exams conducted by the institute of actuaries of UK and India.

CO4: Apply the life insurance concepts in introducing various life insurance products and their use.

CO5: Evaluate the life insurance products by financial models

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS132 - ACTUARIAL STATISTICS - I (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The aim of this course is to provide grounding knowledge in the aspects of Statistics and Statistical modeling that are of relevance to actuarial work.

Course Outcome

CO1: Gain an understanding of different probability distributions, their properties and their applications

CO2: Understand joint distributions and conditional expectations of these distributions

CO3: Understand the application and importance of the Central Limit Theorem in statistics

CO4: Understand the purpose of sampling ? characteristics of different sampling distributions and its applications.

CO5: Understand the core of statistical inference ? Construction of different estimators and their properties; Construction of confidence intervals

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS133 - BUSINESS FINANCE-I (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The course focuses on financial decision making in the modern corporation. An introduction to accounting and interpretation of the accounting information is covered here. Core concepts are integrated into the standard theories of risk and return, valuation of assets and market structure.

Course Outcome

CO1: Understand and appreciate the various sources of finance for a business.

CO2: Understand the various forms of organisation along with its advantages and limitations

CO3: Appreciate the need for accounting and the concepts involved in developing accounting information

CO4: Understand the need for integrating the accounting information

CO5: Understand the purpose of interpreting the details provided by accounts from various stakeholders' point of view.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS134 - LIFE INSURANCE AND PENSIONS (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course will make the students understand the domains of life insurance and pensions, develop an understanding of the different areas of risk management, techniques available to handle the same and focus on insurance as a risk management tool for individuals and corporates.  By virtue of this understanding, it also instills in students the ability to apply the principles of actuarial planning and control needed for the efficient functioning of providers of insurance products.

Course Outcome

CO1: Gain an understanding of the different underlying principles of insurance and their applications.

CO2: Know the different types of products developed in individual and group insurance.

CO3: Develop a good understanding of the different risk management tools in life insurance and the role of actuaries towards the same.

CO4: Understand the different types of products used in individual and group pension schemes.

CO5: Develop a good understanding of the underlying mechanics of group gratuity and group superannuation schemes.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS135 - BUSINESS ECONOMICS - I (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course revisits and strengthens the understanding of economics concepts and modules and the theories that underline the subject. It will also give a practical outlook of a subject with reflecting the real-life examples within the academic learning keeping main focus on Micro Economics as topic.

Course Outcome

CO1: Developed an understanding of economic concepts and systems with a direction into how an economist must think.

CO2: Grasp on Supply and Demand concept and theory including its graphical understanding.

CO3: Understanding of impact of different factors on supply and demand of market as a whole.

CO4: Understanding of types of Market and Knowledge of pricing strategies.

CO5: Knowledge about Market failure, government intervention and Macroeconomic environment and objectives.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS151 - DATA ANALYTICS USING R PROGRAMMING (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

This course provides an introduction to the R programming language for data analytics. Students will learn how to use R to import, manipulate, analyze, and visualize data for business applications. The course will cover both basic and advanced topics in R, including data structures, programming, data analysis, and visualization. The course will also introduce students to popular R packages for data analytics, such as dplyr, ggplot2, and tidyr.

Course Outcome

CO1: Understand the basics of the R programming language

CO2: Learn how to import, manipulate, analyze, and visualize data using R

CO3: Develop skills in advanced topics in R, including data structures, programming, data analysis, and visualization

CO4: Explore popular R packages for business analytics and their applications

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS152 - BUSINESS APPLICATION SOFTWARE (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

This course provides a comprehensive introduction to business application software, including tools such as Microsoft Excel, Word, and PowerPoint. Students will learn how to use these tools to efficiently manage data, create professional documents and presentations, and automate common tasks. The course will also cover advanced features in Excel, including data analysis, macros, and pivot tables.

Course Outcome

CO1: Understand the basics of business application software, including Microsoft Excel, Word, and PowerPoint

CO2: Learn how to manage data, create professional documents and presentations, and automate common tasks using Microsoft Office

CO3: Develop skills in advanced features in Excel, including data analysis, macros, and pivot tables

CO4: Explore the integration of Microsoft Office with other software such as PowerBI

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS231 - FINANCIAL MATHEMATICS AND LIFE CONTINGENCIES-II (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The Master of Science in Actuarial Science program is designed to prepare students to pursue careers in quantitative finance. The aim of this course is to provide grounding in Financial Mathematics and their applications. Increasingly firms of all types, but especially financial institutions, investment banks, and commodities firms, rely upon highly sophisticated mathematical models to identify, measure, and manage risk.Topics covered also include the life table, life assurance contracts, life annuity contracts.

Course Outcome

CO1: Understand the principles of Actuarial modelling and cashflow models and apply them in real world problem

CO2: Apply the financial mathematics concepts like time value of money, calculation of present values and accumulated value of cashflows, annuities, project appraisals, NPV, loan schedule etc.

CO3: Understand the concepts of financial instruments, cashflows associated with different assets classes, present value and accumulated value of investments, project appraisal, net present value, capital repaid & interest paid on loans and preparing loan schedules etc. and would be in a position to pass the exams conducted by the institute of actuaries of UK and India.

CO4: Apply the life insurance concepts in introducing various life insurance products and their use.

CO5: Calculate gross premium and gross premium reserves for evaluating the life insurance products

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS232 - ACTUARIAL STATISTICS - II (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The aim of this course is to provide deeper understanding of higher level statistical inference, and introduce the concepts of Bayesian statistics, Generalized Linear Models and Credibility Theory.

Course Outcome

CO1: Understand the concept of hypothesis testing ? Setting up hypotheses; Ideal tests for different scenarios.

CO2: Understand the concepts of correlation and regression, and the different models underlying them.

CO3: Understand the fundamentals of GLM and its applications; Tests related to fitting and relevancy of the model.

CO4: Understand the fundamentals of Credibility Theory ? Calculation of credibility factors and different models under credibility theory.

CO5: Apply the statistical concept to identify the probability of risk.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS233 - BUSINESS FINANCE-II (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The course focuses on financial decision making in the modern corporation. The basic issues include: capital budgeting/corporate investment, capital structure, corporate sources of funding, dividend policy and corporate contingent claims, international finance, and financial risk management. Alternate sources of finance to be covered. Course concepts are integrated into the standard theories of risk and return, valuation of assets and market structure.

Course Outcome

CO1: Understand the concepts of risk and return and the theories pertaining to them

CO2: Appreciate the different aspects of capital structure and the need for planning an appropriate structure

CO3: Understand the concept of weighted average cost of capital

CO4: Appreciate the various alternate sources of capital in addition to the traditional sources

CO5: Understand the need for capital budgeting and the techniques involved in project appraisal.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS234 - RISK MODELLING AND SURVIVAL ANALYSIS-I (2023 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The aim of risk modelling is to study mortality models and understanding calculations pertaining to risk exposure. Various mortality models are discussed here. The course also focuses on understanding the stochastic processes and its relevance to modelling.

Course Outcome

CO1: Describe and apply markov chains and processes.

CO2: Describe and apply techniques of survival analysis

CO3: Appreciate the various mortality models in the industry

CO4: Differentiate between the markov chain and jump processes

CO5: Understand the kolmogorov equations and its relevance in survival analysis

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS251 - FINANCIAL MATHEMATICS AND LIFE CONTINGENCIES USING EXCEL (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

The Master of Science in Actuarial Science program is designed to prepare students to pursue careers in quantitative finance. The aim of this course is to provide grounding in Financial Mathematics and their applications. Increasingly firms of all types, but especially financial institutions, investment banks, and commodities firms, rely upon highly sophisticated mathematical models to identify, measure, and manage risk.Topics covered also include the life table, life assurance contracts, life annuity contracts.

Course Outcome

CO1: Use MS excel to do data analysis and create cashflow models.

CO2: Use MS excel to calculate financial mathematics concepts like time value of money, calculation of present values and accumulated value of cashflows, annuities, project appraisals, NPV, loan schedule etc and life assurance functions.

CO3: Calculation of gross premium reserves in excel.

CO4: Use excel to project cashflows from life insurance policies, performing profit testing of life insurance policies in excel and solve for premiums etc.

CO5: Evaluate the life insurance products through excel model

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS252 - ACTUARIAL STATISTICS USING R PROGRAMMING (2023 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

The aim of this course is to provide knowledge of practical application of statistical concepts using R

Course Outcome

CO1: Understand the working principles in R programming

CO2: Visualize data through R programming

CO3: Summarize data using appropriate statistical analysis, descriptive statistics and graphical presentation.

CO4: Generate discrete and continuous random variables using statistical software.

CO5: Application of inference models using R

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS253 - RISK MODELLING AND SURVIVAL ANALYSIS USING R PROGRAMING - I (2023 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

This course is designed to provide students with a deep understanding of the concepts and techniques of Risk Modelling and Survival Analysis using R programming. The course focuses on the theoretical and practical aspects of survival analysis, including data visualization, exploratory data analysis, parametric and non-parametric models, time-dependent covariates, and censoring. The course emphasizes hands-on experience through practical sessions, case studies, and projects.

Course Outcome

CO1: Analyze and visualize survival data using R programming.

CO2: Fit parametric and non-parametric survival models in R.

CO3: Interpret model outputs and evaluate model fit.

CO4: Incorporate time-dependent covariates and handle censoring in survival analysis.

CO5: Apply the learned concepts and techniques in real-world scenarios through case studies and projects

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS331 - FINANCIAL MATHEMATICS AND LIFE CONTINGENCIES-III (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The Master of Science in Actuarial Science program is designed to prepare students to pursue careers in quantitative finance and insurance domain. This course develops the basic actuarial techniques that are used in later work. Topics covered include the life table, life assurance contracts, life annuity contracts, net premium, provisions, variable benefits and with – profit polices, profit testing, competing risk, pension funds and mortality.

Course Outcome

CO1: Able to understand and apply the life insurance concepts like various life insurance products and their use.

CO2: To evaluate the life insurance products by calculating the expected present values and variances, calculation of premiums and reserves.

CO3: Students will be clear with the concepts of life table functions, Gross premium reserve calculation of different life insurance products, assurances and annuities involving two lives, expected value and variance of benefits involving two lives, competing risk, multiple decrement tables.

CO4: To apply the concepts in life insurance products valuation, measuring profitability of life insurance products, unit linked products and profit testing.

CO5: Setting out the calculation for profit evaluation and testing

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS332 - BUSINESS ECONOMICS-I (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course revisits and strengthens the understanding of economics concepts and modules and the theories that underline the subject. It will also give a practical outlook of a subject with reflecting the real-life examples within the academic learning keeping main focus on Micro Economics as topic.

Course Outcome

CO1: Developed understanding of economic concepts and systems with a direction into how an economist must think.

CO2: Grasp on Supply and Demand concept and theory including its graphical understanding.

CO3: Understanding of impact of different factors on supply and demand of market as a whole.

CO4: Understanding of types of Market and Knowledge of pricing strategies.

CO5: Knowledge about Market failure, government intervention and Macroeconomic environment and objectives.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS333 - FINANCIAL ENGINEERING-I (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The aim of this course is to provide grounding knowledge in the aspects of loss reserving that are of relevance to actuarial work. This course cover the working of the financial markets for bonds, stocks, currencies and derivatives (futures and forwards, options and swaps), the asset pricing models and valuation principles. Behavioral finance and stochastic dominance concepts are covered. Also, stochastic calculus and Brownian motion will be applied extensively in arriving at derivative valuation formulae.

Course Outcome

CO1: Gain an understanding Efficient market hypothesis, utility theorem and its applications.

CO2: Understand the ways of measuring investment risk and importance of portfolio theory.

CO3: Understand the application of models of asset returns including CAPM.

CO4: Understand the concept of stochastic calculus including the application of Brownian motion and diffusion processes.

CO5: Understand the application of stochastic modeling for interest rates.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS334 - RISK MODELLING AND SURVIVAL ANALYSIS-II (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course is a continuation of Risk modelling and survival analysis-I. The course provides insight on various survival models and understanding graduation and statistical tests for appropriateness of graduation. An understanding of the various models will help appreciate the relevance of mortality calculations and premium rates.

Course Outcome

CO1: Understand and appreciate the concept of exposed to risk

CO2: Understand the various mortality models and its limitations

CO3: Understand the Cox regression model

CO4: Understand the various methods of graduation and testing the graduated rates

CO5: Appreciate the concept of mortality projections

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS335 - GENERAL AND HEALTH INSURANCE (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The aim of the course is to enable the students to understand the various types of general insurance policies that are available in the market, the range of coverage in each type of policy, the clauses used and how the rates and premium are determined.

Course Outcome

CO1: Gain an understanding of the different types of general insurance products and the risks that they cover.

CO2: Develop a good understanding about the different risk management tools in life insurance and the role of actuaries towards the same.

CO3: Develop a good understanding about the different types of health insurance product and the risks covered under each.

CO4: Understand the policy clauses used and how the rates and premium are determined.

CO5: Assess and identify the risk involved in various insurance products.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS431 - RISK MODELLING AND SURVIVAL ANALYSIS-III (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The aim of this course is to provide a grounding in mathematical and statistical techniques of particular relevance to general insurance work.

Course Outcome

CO1: Understand the various loss distributions

CO2: Understand and appreciate the need for reinsurance

CO3: Understand the concept of time series and its working

CO4: Understand how a copula can be characterized as a multivariate distribution

CO5: Appreciate the use of models in understanding and predicting risk

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS432 - BUSINESS ECONOMICS-II (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course revisits and strengthens the understanding of international economics and the theories that underline the subject. It will also give a practical outlook of a monetary policies and money market with reflecting the real life examples within the academic learning keeping main focus on Global market and public policies as topic.

Course Outcome

CO1: Developed understanding of international trade and payments with a insight into financial system and money supply.

CO2: Grasp on financial system and money supply.

CO3: Understanding of Money market and monetary policies

CO4: Understanding and knowledge of Classical and Keynesian theory.

CO5: Knowledge about Supply-side policy, Demand-side policy and Exchange rate policy

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS433 - FINANCIAL ENGINEERING-II (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course is a continuation of Financial Engineering I. Its emphasis is on the various derivative instruments and how they can be effectively used for hedging. The paper also focuses on ruin theory and run off triangles as effective risk management tools.

Course Outcome

CO1: Understand and price the various derivative instruments in the market.

CO2: Appreciate the Black Scholes model and its relevance to option pricing.

CO3: Understand the concept of credit risk and its relevance in today?s context

CO4: Understand the probability of ruin and estimate the loss in case of a ruin

CO5: Understand the concept of run off triangles in the context of general insurance

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS434 - RESEARCH METHODOLOGY (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course equips students with knowledge and skills involved in the basic research process that will simplify and provide more accuracy to their search of business intelligence. The course gives a blend of research methodology as rigorous process and application of the same in the business situations. The main approach of the course is skill building, where students will get hands-on experience in understanding the problems in a given business scenario, deducing the theory and concepts behind the problem, designing a rigorous and scientific research process, develop measuring instruments, using modern techniques for collecting data, using statistical software for analyzing data, report writing and disseminating findings.

Course Outcome

CO1: Explain the overall process of designing a research study from its inception to its report

CO2: Discuss the primary characteristics of quantitative research and qualitative research

CO3: Conduct a literature review for a scholarly educational study

CO4: Critically analyze research methodologies identified in existing literature

CO5: Develop a comprehensive research methodology for research questions

CO6: Organize and conduct research in a more appropriate manner

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS435 - BUSINESS MODELS AND COMMUNICATION (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course will help the students learn the basic modeling skills like data and documentation which they will apply in their day today responsibilities as actuarial students. This will also help them in learning structured and effective way of communication to non-actuarial colleagues which is key in an actuarial environment.

Course Outcome

CO1: What is a model and need for a model in actuarial world

CO2: Construct an actuarial model to solve a realistic problem.

CO3: Document the model by constructing an audit trail

CO4: To identify appropriate forms of written communication

CO5: Develop communication skills in terms of dealing with non-actuarial stakeholder. Identify key issues and communicate them in a effective way.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MAS451 - FINANCIAL ENGINEERING USING EXCEL (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

The aim of this course is to provide knowledge of practical application of statistical concepts using Excel for Financial engineering.

Course Outcome

CO1: Students will be able to use the different Excel functions and other built-in functions.

CO2: Students will be able to model calculations effectively using statistical techniques in Excel.

CO3: Students will learn how to sort data and how to create and modify charts.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern