Syllabus for
Master of Science (Finance and Analytics)
Academic Year  (2021)

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Course Description This Course provides the knowledge base for understanding the depth and breadth of the principles and handy techniques of contemporary marketing management. The primary objective is to provide a framework for understand the dimensions of new age marketing. Along with, the students will be getting familiar with the advanced concepts of the various branches of marketing management viz., Brand Management, Advertising Management and service marketing. Basic concepts on digital marketing and marketing analytics will enable the students to get acquainted with emerging trends of the marketing world

Course Objectives The course will familiarize the students with various theories, techniques to scan Marketing Environment and Modern Marketing Mix to develop their conceptual and analytical skills enabling them to manage marketing operations of a business firm.

Marketing environment-internal 7 external; environments and their influence on marketing strategies; Marketing in 21st Century – Scope of Marketing – Core Marketing Concepts – New Marketing Realities – Michael Porter’s Value Chain – Marketing Plan (Theory & Activity) – Segmentation (Geography, Demography, Psychography and Behavior Based Segmentation) – VALS Segmentation System - Targeting and Positioning – Positioning Statements and Brand Positioning Statements – Modern Marketing Mix – Psychology of Marketing – Branches of Marketing Management.

Concepts, contribution and reasons for the growth of services sector, difference in goods and service in marketing, characteristics of services, service marketing mix, GAP models of service quality, service encounter. Customer Behaviour in Service Encounters: Customer decision making: The 3-stage model of service consumption, understanding service encounters, defining moments of truth, Customer expectation and perception of services.

Brand – Branding Challenges and Opportunities – Lapferer’s Brand Identity Prism- Strategic Brand Management Process; Brand Equity – Types of Brand Equity (Price Based, Cost Based And Customer Based Brand Equity) - Methods of Calculating Brand Equity – Basic Problems – Sources of Brand Equity – Benetton’s Brand Equity Management; Brand Elements – Criteria for Choosing Brand Elements – Options and Tactics for Brand Elements; Ansoff’s Growth Share Matrix – Brand Extension – Brands Across Geographic Boundaries and Brands Over time

Setting Advertising Objectives – Advertising Objectives Vs Marketing Objectives – DAGMAR Approach – AIDA Model – Shannon Weaver Model - Advertising Agencies; Setting Media Objectives – Media Objectives Vs Advertising Objectives – Principles of Media Planning – Types of Broadcast Media, Telecast Media, Indoor Media, Outdoor Media and Digital Media; Copywriting – Copy Testing and Diagnosis – Practice of Copywriting. 

Introduction of the Digital Marketing, importance, Search Engine Optimization (SEO) Social Media Optimization (SMO) using Facebook, Twitter, Corporate Blogs, LinkedIn, Google plus; Search Engine Marketing- Tools used for Search engine Marketing, Marketing Analytics: Point of Sale Data- Assortment Optimization- Shelf Space Optimization- Market Basket Analysis.

2. S.A. Chunnawalia & K.C. Sethia (2011) Foundations of Advertising - Theory & Practice, Himalaya Publishing House.

3. Suja, R. N, (2011). Consumer Behavior In Indian Perspective. Mumbai: Himalaya Publishing House

2. Keller, K. L., Parameswaran, M. G., & Jacob, I. (Latest Edition) Strategic brand management: Building, measuring, and managing brand equity. Pearson Education India.

3. Ruchi, G (Latest Edition) Advertising principles and practice. RamNagar: S. Chand Company Limited.

4. Rackley, J. (2015). Marketing Analytics Roadmap.[Berkeley, Calif.]: Apress. 5. Zeithml,V.A.&Bitner,M.J.(2017).Services Marketing. Tata- McGraw- Hill Edition.

Course description: This course is designed to highlight the importance of HRM in organizations and familiarize students with the process & mechanism of managing human resources students with the concepts & application of human resource practices followed in organizations

Course objectives: The course will create an awareness of the role, functions and practices of human resource department of organizations. This will also abreast students with contemporary issues and practices in HRM. 

Meaning and definition of HRM – Purpose and Role of HRM Personnel Management and HRM - Organisation and Functions of Personnel Management and HRM - HR Structure and Strategic .Human Resource Planning Process. Job Analysis and its process, HR policies, traditional role of HR. 

Job Analysis, Job Description, Human Resource Planning, Recruitment, Sources of Recruitment, selection Process and Methods of Selection – Interview, placement and Induction separation, Methods of induction. Promotions and Transfers- Retirement and other Separating Process. Legal Issues Related to Recruitment and Selection, Online and Social Media Recruitment Tools

Training needs assessment, methods of training, types of training, development, performance appraisal, Performance Appraisal- Purpose- Factors affecting Performance Appraisal, Methods and Systems of Performance Appraisal. Limitations of PA System and overcoming those limitations. Job Evaluation. Methods of Job Evaluation

Introduction to career planning and development, Career goals, Career and road map, Stages in career planning, Internal and external mobility of employees 

Theories of motivation-Leadership-theories of Leadership-promotion-transfer Deviant workplace behaviour-Attrition. 

Overview, importance and scope of Industrial Relation- Industrial disputes- NegotiationDiscipline-Dispute settlement; Meaning of Industrial Conflicts, Causes and Types of ICStrikes & Lockouts. Settlement of industrial disputes, Grievance Handling and Industrial Discipline. 

Recent developments in HR-Strategic Human resource Management- Global trend & their influence on Practices. Declining productivity, substantial demographic shifts, changing employee attitudes and expectations, innovation technologies. Recent developments in HRStrategic Human resource Management- Global trend & their influence on Practices. Impact of Government regulations on human resource management into the 21st century

2. Dr. C.B Gupta Human Resource Management

3. Dr. Ashwataappa: Personnel Management, Himalaya Publications.

4. Reward Management- Remuneration Strategy and Practice, Michael Armstrong & Helen Murlis, Crest Publishing House

5. Essentials of HRM and Industrial Relation- Text and cases. Subba Rao- Himalaya Publications.

2. GrayDessler, Human Resource Management,12th edition2011, Dorling Kinderlsely, New Delhi

3. An Indispensable Guide for Managers and Human Resources Professionals | by Shawn Smith and Rebecca Mazin 

Course Description This course is an introduction to the concepts, principles, problems, and practices of operations management. The course seeks to develop insights into managerial processes for effective operations in both goods-producing and service-rendering organization.

Course Objectives This course introduces major concepts and tools used in the design and use of operations systems in organizations. It introduces the discipline and the role the function plays in a value-creating organization. Emphasis is given both to familiarization of various production processes and service systems, and to quantitative analysis of problems/ issues arising in the management of operations. Successful completion of the course will empower the students to be able to improve just about processes in varied areas of business.

Plant Location Criteria, Plant Layout Types, Product, Process, Cell Layout, Fixed Station, Merits & Demerits, Modern Practices of Production Management.

Inspection V/S Quality, Seven Stages of Quality, ISO 9000 & ISO 14000, Seven Tools of Quality Circles, Pareto Chart, Cause and Effect Diagram, Histogram, Stratification, Scatter Diagram, Control Charts, Check Sheets, Concept of Total Quality Management, Excellence in all Subsystem Leading to Organizational Excellence, Introduction to SIX SIGMA, QFD and FMEA & POKAYOKE, Vender Development and Vender Quality Rating

Different Types of Maintenance, Concept of OEE (Overall Equipment Effectiveness), Concept of “5S” House Keeping 

Material Requirement Planning (MRP), Enterprise Resource Planning (ERP), Production Planning and Control, Master Production Scheduling.

Inventory Management, RMC Inventory, ABC Analysis, JIT, Lead-time Management, Pareto Principles, WIP: Lean Manufacturing, Line Balancing, SPC, FGS, Push V/S Pull System, Advantages of Pull System, Spares, EOQ & Breakeven Analysis to Reduce Total Inventory Cost. 

Jacobs, F.R. & R.B. Chase. (2010). Operations and Supply Chain Management (13th edition). Boston: McGraw-Hill Irwin. 

G. Cachon and C. Terwiesch. Matching Supply with Demand: An Introduction to Operations Management (3rd Ed). McGraw-Hill. 2013 

The course aims to upskill the students by providing Capstone Simulation Programmes (CSP) offered by Equity Lever. A student has to mandtiarly complete minimum 5 assigned simulations.

As assigned during the class.

Course Description: This course provides students with an understanding of financial statements and interpretation of the results to assess performance and use the information for decision-making, planning and control. The appreciation of the behaviour of costs and its applications for management decisions and financial control through preparation of budgets will also be discussed. As a perquisite-the student should be having basic knowledge of accounting concepts & conventions and preparation of financial statements.

Course Objectives:To equip students with the basic accounting concepts, its application and enabling them to analyse transactions and financial statements in various business concerns. To equip the students with the concepts, methods and techniques of management accounting and enable them to use various techniques of cost ascertainment, budget preparation and variance analysis, while focusing on its need for managerial decision making. 

Introduction to Business, Trade, Industry and Commerce. Various types of business organizations; Introduction to Accounting, Branches of Accounting, Objectives-Users, Process of Accounting, Fundamental Concepts of Accounting (GAAP), Accounting Standards, IFRS; Accounting Mechanics, Double Entry System, Accounting Equations, books of Accounts Journal book, Subsidiary Books, Ledger, Preparation of Trail balance.

Preparation of Financial Statements of sole proprietorship, partnership firms and Joint Stock Companies, Income Statement and Balance Sheet, Grouping and Marshalling. Legal requirements of Companies Act during preparation and presentation of Financial Statements, Annual reports of Companies, Limitations of Financial Statements- Critical Evaluation of Profitability of Companies, Ethical Conduct in Accounting Profession.

Conceptual framework of Inventory, 1- Perpetual Inventory System, 2- Periodic Inventory System, Methods of Inventory Valuation, 1- First in first out (FIFO) method, 2- Last in First Out (LIFO) Method, 3- Weighted Average Cost Method, 4- Moving Average method, ICAI Guidelines on Inventory Valuation, Inventory valuation and Window Dressing in Financial Statements. 

Causes for Depreciation, Need for Depreciation, various Methods of Depreciation, ICAI Guidelines on Depreciation, Depreciation Accounting and Window Dressing in Financial Statements

Introduction, Meaning of Management accounting, The Role of Management Accounting, Management Accounting Framework, Functions of Management Accounting, Tools of Management Accounting, The Balanced Scorecard, Cost Management System, Value Added Concept, Merits of Management Accounting, Demerits of Management Accounting, Distinction between Management Accounting and Financial Accounting. Analyzing financial performance of companies using financial ratios, du-pont analysis, reading reports, comparing balance sheets for decision making. 

Introduction, Meaning of Funds Flow Statement, Ascertainment of flow of funds, Technique of preparing funds flow statement, Schedule of Changes in Working Capital, Adjusted Profit and Loss account, Funds Flow Statement. Cash Flow Analysis: Introduction, Meaning of Cash Flow Statement, Purpose of Cash Flow Statement, Preparation of Cash Flow Statement, Format of Cash Flow Statement, Cash Flow from Operating Activities, Cash Flow Statement under Direct Method, Different between Cash Flow Analysis and Fund Flow Analysis, Uses of Cash Flow Statement

Introduction, Concept of Marginal Costing, Characteristics of Marginal Costing, Difference between Absorption Costing and Marginal Costing, Cost Volume Profit (CVP) Analysis, Application of Marginal cost in decision making, Limitations of Marginal costing, Relevant Costs and Decision Making: Pricing, Product Profitability

Budgetary Control & Standard Costing: Introduction, Meaning of a Budget, Budgetary control, Steps in budgetary Control, Types of Budgets, Limitation of Budgetary Control. Standard Costing: Meaning and Determination of Standard Costs. Material, Labor, and Overhead and Sales Variances (two way analysis). Responsibility Centers, Divisional Performance, Transfer Pricing

Target costing, Activity based Costing, Human Resource Accounting, forensic Accounting, Inflation Accounting, Economic Value Added, life cycle costing, strategic costing, and cost cutting Vs cost savings. 

Shukala & Grewal – Advanced Accounting, S. Chand Publications, Delhi. 

Jain & Narang – Advanced Accounting, Kalyani Publishing.

Dr.S.N. Maheswari, K. Maheswari , Principles of Management Accounting, Sultan Chand & Sons ,2010 

Khan- M. Y. & Jain (2013); P. K Management Accounting & Financial Analysis; Tata McGraw Hill Publishing Co. Ltd; New Delhi 

Arora- M.N; Cost Accounting, 10th ED; Vikas Publishing House (Pvt) Ltd

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%

Finance being life blood of any business organization plays a very crucial role in profit planning. That is why a finance manager always aims to achieve a right balance between risk and return by using various tools and techniques of financial management. This course deals with deeper insight in to the concept of financial management and equip the students with use of various tools that helps them in development of sharp analytical skills for making optimal decisions under given set of business situations.

The course will equip students to understand the fundamental concepts of corporate finance enabling them to apply the financial tools and techniques to maximize value of the firm.

Nature and objective of Financial Management-Role of Finance Manager- Interface of Financial Management with Other Functional Areas. Corporate goals and objectives; profit maximization Vs wealth maximization, Issues in financial management, agency relationship, overview on Indian financial system..

Introduction to the concept of time value- Nominal Vs Effective rate; process of compounding – Process of discounting- Future Value of a Single Cash Flow – Future Value Multiple Flows - Future Value Annuity – Present Value of a Single Cash Flow – Present Value of uneven Multiple Flows - Present Value Annuity, perpetuity, loan amortization.

Nature of Investment decisions-The Process of Capital Budgeting, types of investment projects-expansion projects, replacement projects, diversification projects, modernization projects. Independent and mutually exclusive projects. Techniques of Capital Budgeting: Financial Appraisal of a Project- Appraisal criteria-Discounted and Non-Discounted Methods (Pay Back Period- Average Rate of Return-Net Present Value- Benefit Cost RatioInternal Rate of Return), modern tools for capital budgeting, Profitability Index, SA, DTA, CCV.

(Owned and Borrowed Sources) Need for Long–term Finance- Types of Capital: Equity Capital (IPO, Bonus issue, right issue, private placement) and Preference Capital – Debenture Capital – Term Loans-venture capital & private equity and Deferred Credit – Government Subsidies – Sales Tax – Sales Tax Deferments and Exemptions – Leasing and Hire Purchase. Cost of Capital: The meaning of cost of Capital-cost of Different Sources of Finance- Concept and Importance- Cost of Debenture – Term Loans – Equity Capital and Retained Earnings – Calculation of Weighted Average Cost of Capital – Weighted Marginal Cost of Capital Schedule.

The concepts of risk and return –Measuring the rate of return- risk –Risk and expected Return Concepts – Sources of Risk-Portfolios and risk-the Capital Asset Pricing Model (CAPM), measurement of market risk, determinants of Beta. 

Meaning of capital structure- Factors affecting the capital structure-Theories of capital structure-Net Income Approach–Net Operating Income Approach–Traditional Approach – Modigliani–Miller Model (MM), Miller Model– Criticisms of MM –Agency Cost. Operating and Financial Leverage: The concept of leverage-Measuring of leverageOperating Leverage, Financial Leverage and Total Leverage, application of leverage in business operations. Designing of Capital Structure: steps in financial planning, over and under capitalization, models for designing optimum capital structure; earning coverage criteria- interest coverage criteria- debt service burden coverage ratio

Components of Current Assets and Current Liabilities- Objectives of Working Capital (Conservative vs. Aggressive policies), Static vs. Dynamic View of Working Capital– Factors Affecting the Composition of Working Capital –Independence among Components of Working Capital–Operating Cycle Approach to Working Capital –Criteria for Evaluation of Working Capital Management–Important Working Capital Ratios. Inventory Management: Introduction – Role in Working Capital–Purpose of Inventories– Types and Costs of Inventory–Inventory Management Techniques–Inventory Planning and other Inventory Management Techniques –Pricing of Inventories-Inventory and Finance Manager. Receivables Management: Purpose of Receivables– Cost Of Maintaining Receivables – Credit Policy Variables (Credit Standard, Credit Period, Cash Discount, And Collection Program), Credit Evaluation – The Process of Credit Evaluation –Decision-Tree ApproachMonitoring Receivables. Cash Management: Difference between Profits and Cash–Need for and Objectives of Cash Management –Factors for Efficient Cash Management –Internal Treasury Controls. Financing Current Assets: Behavior of Current Assets and Pattern of Financing–Accruals – Trade Credit–Provisions–Short–Term Bank Finance–Public Deposits, Commercial Paper – Factoring–Regulation of Bank Credit.

Types of dividends, Factor affecting a dividend policy, stable and fluctuating dividend policy. Dividend Models: Traditional Position–Walter Model–Gordon Model – Miller– Modigliani Position and Rational Expectations Model.

M Y Khan. – Indian Financial System, the McGraw-Hill,

Brealey and Myers, Principles of Corporate Finance (Mc Graw Hill)

James C Van Horne, Financial Management and Policy , 10e (PHI) 

Ross, Westerfield and Jordan, Essentials of Corporate Finance (Mc Graw Hill)

Dr.Prasanna Chandra, Financial Management: Theory and Practice, 4e (TMH)

A Besant C Raj - Corporate Financial Management: An introduction (TMH)

Ravi M. Kishore, Financial Management, 6th Edition (Taxmann’s) 

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100% 

Course Description:In order to learn data science, a student must reinforce their knowledge of mathematics and statistics. Thus the course provides participants understanding and application of statistical and mathematical tools for handling data for financial decision making.

Course Objectives: The course will provide basic knowledge of mathematical concepts and theories which will help students to increase their reasoning, analytical and problemsolving skills and enable them to grasp the fundamentals of Statistics and mathematics for interpreting business data.

Descriptive statistics data, measures of central tendency, measures of variations, measures of skewness and kurtosis, Moments and their applications in financial statistics

Probability Theory, Probability Distributions Discrete and Continuous. Binomial, Poisson, Hypergeometric, Geometric, Negative Binomial, Uniform, Exponential and Normal probability distributions.

Estimation: Sampling and Sampling Distribution, Standard Error, Law of Large Numbers and Central Limit Theorem, Point Estimation – Properties of a good point estimator, and Interval Estimation

Null and Alternate Hypotheses; One-tailed and two-tailed Tests; Type I and Type II errors; Power of a Test; p-values, Parametric and Non Parametric Tests for one sample, two samples,and more than two samples and for measures and their differences of central tendency, variation and association, Run Test for testing randomness. Analysis of Variance One-way Analysis of Variance and two-way Analysis of Variance.

Decision Theory, Correlation and Regression Analysis: Index Numbers, Time Series Analysis and Forecasting 

Matrix Algebra- matrices and determinants, Operation on matrices, Properties of Matrix Multiplication, inverse of Matrix, Determinants , properties of determinants, Solving linear equation with matrices, Applications of Matrices and Determinants,

Limits, Differentiation, Methods of differentiation, Second order derivative, Maxima and Minima, Application to commerce and Economics, Revenue Function Cost function , profit function, Elasticity of demand, Breakeven point, constrained optimizatio

Dr. Sancheti; Kapoor: Statistics Theory, Methods and Applications

Zamirudding Khanna: Business Mathematics 

S.P.Gupta: Statistical Methods- Sultan Chand, New Delhi.

ELHANCE: Statistical Methods/Fundamentals of Statistics,5th edition, Kitab Mahal, Wholesale Division, New Delhi

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100% 

Course Description This course will help learners to gain the skills and understanding to oversee or implement a project that covers the full data science pipeline, including modelling and evaluation.

Course Objectives This course will give a hands-on experience in one of the recent areas of data science. Students will learn the techniques and tools for data acquisition, transformation and predictive analysis, ensuring they having a solid foundation in working with the entire data pipeline.

Foundational concepts of data analysis: Getting started with Python, Explore the first data set, The Jupyter notebook, A first look at NumPy & Pandas, The basics of data visualization, Probability for data science, Linear algebra for data sciences

Working across the entire data analysis pipeline, Getting, cleaning & manipulating the data, In-depth NumPy & Pandas. 

Working with textual data, Working with time-series data, Databases in Python, Statistical data analysis 

Basics of machine learning with Scikit-learn, Introduction to machine learning, Fitting a first model, Cost functions & outliers, Linear regressions, Gradient descent, Feature engineering, Regularization

Advanced machine learning techniques, K-nearest neighbours, Bias-variance trade-off, Logistic regressions, Decision trees & SVMs, Clustering & dimensionality reduction, Introduction to deep learning, Convolutional neural networks, LSTM, RNN

Machine Learning in Action : Peter Harrington

Machine Learning in Action : Peter Harrington

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100% 

Course Description The course will help students understand why financial markets exist, how financial institutions serve them and the services the institutions offer. Focusing on management performance and regulation of financial institutions, the course explores Indian Money Markets, Capital Markets and Financial Service Institutions. 

Course Objectives The course will provide an understanding of the functions and operations of the financial markets and institutions with special knowledge on financial marketing practices and skills for financial service sector.

Meaning, role, functions and constituents of financial markets – Financial instruments – Indian Money and Capital Markets – Money Market: Meaning, characteristics, objectives, importance, general functions and segments of money market – Characteristics of a developed money market – Money market Vs Capital market – Global money markets

Nature of dealings – participants – mode of operation – call money rates – Commercial Paper Market: meaning and features – Satellite Dealers – Commercial Bill Market: Meaning and importance – Developed Bill Market – shortcomings of Indian Bill Market – growth of Indian Bill Market – Bill Market Schemes – Failure of Bill Market Scheme Blues of bill discounting – RBI directives 

Certificate of Deposit Market: Meaning, features – time deposit Vs certificate of deposit – Role of DFHI and banks – Treasury Bills Market: Meaning and features – features of Indian treasury bills – Gilt-edged securities market: meaning and features – REPOS – Repo Accounting – Government bonds – important of gilt-edged market – criticisms, recent developments in the market including collapse of IL&FS, DHFL.

Capital market: meaning – Indian money market – Indian capital market – evaluation and growth – new financial instruments recent initiatives in the Indian capital market – major issues of Indian capital market – Capital market instruments – New Issues Market – meaning and features – NIM Vs secondary market – intermediaries in NIM, the role of SROs, Exchanges, AMCs and issues relating to Financial Inclusion.

Clearing Corporation of India – Credit Rating and Information Services of India Limited (CRISIL) – Discount and Finance House of India Limited (DFHIL) – Investment Information and Credit Rating Agency of India Limited (ICRA) – Moody’s Investor Service – S & P – Fitch ratings – OTCEI – NSDL – STCI – Financial Institutions: NHB – EXIM Bank – NABARD – Stock Exchange – functions and working

 Bhole L M, Financial Institutions and Markets, Tata McGraw Hill Company

Kohmn Meir, Financial Institutions and Markets, Tata McGraw Hill Company

Apte P G, International Financial Management, Tata McGraw Hill Company

Avadhani V A, Capital Market Management, Himalaya Publishing Company

Khan M Y, Indian Financial System, Tata McGraw Hill Company

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100% 

The course aims to upskill the students by providing Capstone Simulation Programmes (CSP) offered by Equity Lever. A student has to mandtiarly complete minimum 5 assigned simulations.

As assigned during the class.

To successfully qualify for a particular simulation a student has to score at least 70% marks. Scoring /evaluation rubrics as decided by the department and Equitly lever.
A student will get 3 attempts to successfully qualify a particular simulation(s).

Course Description The aim of this course is to help students learn, understand, and practice big data analytics and machine learning approaches, which include the study of modern computing big data technologies and scaling up machine learning techniques focusing on industry applications.

Course Objectives The course will provide an overview of Apache Hadoop and provide HDFS Concepts and Interfacing with HDFS, understanding the Big Data Platform and its use through cases, Exposure to Data Analytics with R

Types of Digital Data, Introduction to Big Data, Big Data Analytics, History of Hadoop, Apache Hadoop, Analysing Data with Unix tools, Analysing Data with Hadoop, Hadoop Streaming, Hadoop Echo System, IBM Big Data Strategy, Introduction to Infosphere BigInsights and Big Sheets. 

The Design of HDFS, HDFS Concepts, Command Line Interface, Hadoop file system interfaces, Data flow, Data Ingest with Flume and Scoop and Hadoop archives, Hadoop I/O: Compression, Serialization, Avro and File-Based Data structures

Map Reduce Anatomy of a Map Reduce Job Run, Failures, Job Scheduling, Shuffle and Sort, Task Execution, Map Reduce Types and Formats, Map Reduce Features. Data Analytics with R Machine Learning : Introduction, Supervised Learning, Unsupervised Learning, Collaborative Filtering. Big Data Analytics with BigR. 

Introduction to PIG, Execution Modes of Pig, Comparison of Pig with Databases, Grunt, Pig Latin, User Defined Functions, Data Processing operators. Hive : Hive Shell, Hive Services, Hive Metastore, Comparison with Traditional Databases, HiveQL, Tables, Querying Data and User Defined Functions. Hbase : HBasics, Concepts, Clients, Example, Hbase Versus RDBMS. Big SQL- Introduction.

Seema Acharya, Subhasini Chellappan, "Big Data Analytics" Wiley 2015. 

Seema Acharya, Subhasini Chellappan, "Big Data Analytics" Wiley 2015. 

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%

Course Description This course will extensively cover how predictive analytics tools can be used to analyse real-life business problems such as prediction, classification and discrete choice problems.

Course Objectives The focus of this course will be on case-based practical problem-solving using predictive analytics techniques to interpret model outputs.

Introduction to Analytics, Analytics in Decision Making Game changers & Innovators, Predictive Analytics, Experts view on Analytics 

Simple Linear Regression Case-let Overview, Introduction to Regression, Model Development, Model Validation, Demo using Excel & SPSS

Multiple Linear Regression, Estimation of Regression Parameters, Model Diagnostics, Dummy, Derived & Interaction Variables, Multi-collinearity, Model Deployment, Demo using SPSS

Logistic Regression Discrete choice models, Logistic Regression, MLE Estimation of Parameters , Logistic Model Interpretation, Logistic Model Diagnostics, Logistic Model Deployment, Demo using SPSS.

Introduction to Decision Trees and ensemble methods ,Automatic Interaction Detectors (CHAID), Classification and Regression Tree (CART), Analysis of Unstructured data, Naive Bayes algorithm Demo using SPSS, clustering 

Time Series Analysis, Additive & Multiplicative models, Exponential smoothing techniques , Forecasting Accuracy, Auto-regressive and Moving average models, Demo using SPSS.

Software Requisites: SPSS / SAS / STATA / R / Python

Software Requisites: SPSS / SAS / STATA / R / Python

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%

Course Description This course attempts to develop a conceptual and analytical understanding of framework of evaluating financial instruments & markets and inculcates investment intelligence in students.

Course Objectives The course develops an investment attitude providing an in-depth knowledge of the theory and practice of alayzing stocks and portfolio management

Overview of the Investment Environment and Investment Process; Organization and Functioning of securities markets, orders and trading strategies; securities trading (trading cost, short sales, margin trading); Security market indices; Bond market indices. The investment setting, The Asset Allocation decision, Individual investor life cycle; objectives based investing, Code of Ethics and Standards of Professional Conduct. Mutual fundsstructure, types, risk and return.

Economic activity and security markets, Global and domestic market economy- Macro market analysis –; the cyclical indicator approach Understanding the demand and supply shocks- Government policies and the implications, Industry structure and performance, Interconnection between the financial statements, estimating the profitability, past versus future ROE- Du Pont Analysis- Modified Du Pont – Efficiency ratios-Working Capital cycle and the relationship with cash flows-Comparability issues of financial statementsAccounting standards – International Accounting Conventions- Value Investing. Valuation by comparable- Intrinsic Value versus Market price- Dividend discount models, Constant growth and multistage growth -Price Earnings Ratio and other comparative valuation ratios-Free Cash flow valuation approaches- Comparing valuation modelsAnalysis of growth companies; Valuation of alternative Investments. Technical analysis – Advantages of technical analysis; Technical trading rules and indicators. Basic Tenets of Technical Analysis - Dow Theory - Behavior of Stock Prices - Major Trends - Charts and Trend Lines - Resistance and support Lines - Different Patterns, Elliot Wave Theory, Efficient market theory. Efficient Capital Markets – Why should capital markets be efficient? Alterative efficient market Hypotheses; Tests and results of EMH; Implications of efficient capital markets; 

The Analysis and Valuation of Bonds – The fundamentals of Bond Valuation; computing bond yields; term structure of interest rates; interest rates risk, duration and convexity.

Diversification and Portfolio Return and Risk, Measurement of Co movements in Security Returns, Calculation of Portfolio Risk, Efficient Frontier, Optimal Portfolio. Single Index Model, Capital Asset Pricing Model, The Capital Market Line - Security Market Line, Pricing of Securities with CAPM. FAMA French Model, Limitations for all models. Arbitrage Pricing Theory; Empirical factor models; Equity portfolio management strategies – Passive Vs Active management; An overview of style analysis; asset allocation strategies; Evaluation of Portfolio performance, Composite Portfolio Performance measures; Application of Portfolio performance measures; Evaluation of bond portfolio performance

Standard Finance Versus Behavioral Finance, History of Behavioral Finance, Investor Behavior and asset allocation process, Investor Biases-Overconfidence, Representativeness, Anchoring, Mental Accounting, Loss Aversion, Framing, Availability bias and others. 

Chandra, Prasanna. (2008). Investment analysis and portfolio management. New Delhi: Tata McGraw – Hill Publications. 

Fischer.,& Jordan., Security analysis and portfolio management. Prentice Hall Publications. 

Bhalla, V. K., Investment management, S. Chand & Co Publications. 

Kevin S.(2008). Security Analysis & Portfolio Management, New Delhi: PHI Learning Pvt Ltd Publications. 

Brealey.,& Myers., Principles of corporate finance (7th ed.). Tata McGraw Hill Publications.

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%

Course Description The course aims to provide the students with a deep understanding of financial management issues in a multinational enterprise (MNE). It equips the students with analytical tools and techniques for sound financial decision making in a global setting.

Course Objectives The course explores the complexities of corporate financial management in an international setting, where companies are subject to exchange rate risk. Exchange rate theories and their practical implications are analysed, as well as the merit of foreign exchange risk management. The course also aims to provide students with a thorough understanding of international investment and financing decisions. The course emphasises the practical implications of finance theory and its application in international financial management

Globalization and the multinational enterprise (MNE); Environment of International Financial Management; Complexities and issues in financial decision making of MNEs; Decisions in a global setting; Foreign Exchange Market- Spot and Forward market; Participants in foreign exchange market; Arbitrage, hedging and speculation; Covered interest rate arbitrage; Contemporary issues in international financial management.

Types of and issues in cross border investment decision; Green field investment vs. cross border M&As; Estimation of cash flows from cross border investment projects; Valuation techniques including adjusted present value method; Risks in cross border investment decision-currency risk, political risk, country risk, inflation risk etc; Techniques for incorporating risks in cross border investment decision.

International Cash management, International Inventory management and International receivables management; International capital structure and cost of capital; Determinants of capital structure of MNEs; Dividend decision and policies of MNEs; International transfer pricing.

Types of risk exposure - Transaction exposure, Economic exposure and Translation exposure; Measurement of risk exposure; Management of currency risk using currency forwards and futures, currency options and currency swaps; Assessment of interest rate risk; Management of interest rate risk using Interest rate futures, interest rate swaps and other financial swaps.

Global markets for equities; Risk factors in international investing; International diversification-risk and return aspects; International CAPM assuming no differences in consumption and no barriers to investment as well as assuming such differences; Identification of optimum portfolio; International Capital Market. Foreign Portfolio.

GDR, ADR, Cross, listing of shares Global registered shares. International Financial Instruments: Foreign Bonds Eurobonds, Global Bonds. Floating rate Notes, Zero coupon Bonds, International Money Markets International Banking services; Correspondent Bank, Representative offices, Foreign Branches. Forward Rate Agreements.

1.     Bekaert, G., & Hodrick, R. (2017). International Financial Management (3rd ed.). Cambridge: Cambridge University Press. doi:10.1017/9781316282274

2.     The Financial Times or Wall Street Journal.

3.     The Economist and Bloomberg Business Week.

4.     IMF Staff Papers,

5.     Finance and Development (IMF), OECD Observer,

6.     Transnational Corporations,

7.     Journal of International Business Studies.

8.     http://www.bis.org/statistics/index.htm http://www.rbi.org.in/home.aspx

9.     http://www.fedai.org.in/AboutUs.html http://www.nseindia.com/marketinfo/fxTracker/fxTracker.jsp

10.  http://exim.indiamart.com/act-regulations/fema-2000- ii.html

http://www.cmegroup.com/?ProductType=cur http://www.economist.com/markets/bigmac

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%

Course Description The course will develop the financial modelling skills used in valuing business using he application of Excel spreadsheet functions and visual basic programming.

Course Objectives This course attempts to enhance the modelling skill level of the students through in financial analyse, valuation skills and valuation report writing. 

The importance of valuation Understanding enterprise value and equity value, Introduction to use of MS Excel in Finance; Overview of different finance concepts; Creating basic finance models (PV, FV, FD, RD, Loan Amortization schedule), Project Finance Modelling (NPV, IRR, MIRR, WACC, CAGR, BEP), Financial Statement Modelling (Financial Statement Analysis, Projecting BS, PL and Cash Flows).

Recap of Financial Ratios, Calculation of Financial Ratios, Discounted cash flows, Free Cash Flow to Equity and Free Cash Flow to Firm- Calculation of unlevered beta- Understanding role of Working capital in valuation – Concepts of valuation techniques relative valuation, Residual Income and Replacement Value 

Comparable Company Analysis, Selecting comparable companies, Spreading comparable companies, Analyzing the valuation multiples, Concluding and understanding value; Precedent Transactions Analysis, Selecting comparable transactions, Spreading comparable transactions, Concluding value, Discounted Cash Flow (DCF) analysis, Understanding unlevered free cash flow, Forecasting free cash flow, Forecasting terminal value, Present value and discounting, Understanding stub periods, Performing sensitivity analysis, Weighted Average Cost of Capital (WACC), Using the CAPM to estimate the cost of equity, Estimating the cost of debt, Understanding and analyzing WACC, Concluding valuation, Aggregating the three methodologies, Concluding value

Understanding the links between the financial statements, Understanding circularity, Setting up and formatting the model, Selecting model drivers and assumptions, Modeling and projecting the financial statements, Projecting the income statement, Projecting the balance sheet, Projecting the cash flow statement, Geographic Revenue Sheet, Segment Revenue Sheet, Cost Statement, Revenue Drivers, Creating the debt and interest schedule, Revolver modelling, Analyzing and concluding the model, Analyzing the output, Stress testing the model, Fixing modeling errors, Advanced modeling techniques, Using the model to create a Discounted Cash Flow (DCF) Analysis. 

Performing sensitivity analysis of the model – Arriving at the range of equity value of the company – Calculating the market multiple, Investment Note writing- principles of logic and structure of the report- Use of Infographic and use of linking words in report writing, Valuation of young companies, privately held companies, distressed companies- the principles and the challenges

Business Analysis and Valuation: Using Financial Statements Text and Cases,

Krishna G. Palupu, Paul M. Healy & Victor L. Bernard, South-Western Pub.

The Handbook of Advanced Business Valuation, Rovert F. Reilly & Robert P. Schweihs, McGraw Hill.

Corporate Finance: A Valuation Approach, O.H. Sarig & S.Z. Benninga, Irwin McGraw Hill.

Valuation Workbook: Step-by-Step Exercise and Tests to Help your Master Valuation, Tom Copeland, Tim Koller, Jack Murrin and William Foote, John Wiley & Sons

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%