Syllabus for
Master of Science (Finance and Analytics)
Academic Year  (2023)

The School of Commerce, Finance, and Accountancy at CHRIST Delhi NCR is a vibrant community of faculty and students who believes in developing global competencies in students through quality education, research, and continuous innovation. The School provides a proficient environment to nurture commerce professionals with a high level of knowledge and competence to contribute to society with commitment and integrity effectively. The School offers various UG and PG programs to develop the students into responsible global citizens and leaders in economic, environmental, social, and cultural sustainability and well-being. The School takes pride in collaborating with globally eminent professional bodies such as ACCA, CISI (UK), IMA (USA), CIMA (UK), learning partners including GlobalFTI, EduEdge Pro and industry associations like Grant Thornton and Equity Levers in rendering professional value addition programs.

Vision: To be a center of excellence in the realm of Commerce and Management, developing and nurturing global competencies in students through quality education, research and continuous innovation

Mission: To nurture commerce professionals who possess a high level of knowledge and competence to effectively contribute to society with commitment and integrity.

Objectives: 

1. To enable the students, apply functional Knowledge, Skills and Attitude (KSA) while solving critical business problems;

2. To train the students, work in diversity and contemporary global business environment with socially responsible behavior and moral ethos;

3. To enhance entrepreneurial capabilities;

4.   

Continuous improvement and innovation is key for success and growth to any business. In fast changing digital world today business leverages, the vast volume of data available to take decisions to improve and innovate, especially in finance. Data has changed the way a business takes decisions. Today almost every business, irrespective of size, uses analytics tools to leverage data for growth. With data analytics business are better equipped with information. However, it takes the knowledge and expertise of a skilled data analytics professional to effectively analyse this data. The current financial industry such as the Big fours, financial institutions, multinational banks, insurance companies, mutual fund companies, finance and leasing companies, stockbroking firms, investment firms, banks etc are heavily relying on big data for informed investment decisions. Thus there is a high demand for professionals with a specialisation in finance and data analytics.  Thus the program aims to train and skill the aspirants with the knowledge and application in finance, investment and data analytics.

Programme Outcome/Programme Learning Goals/Programme Learning Outcome:

PO2: Apply the concepts, techniques, methods and approaches of business analytics using real time data.

PO3: Analyse and Interpret the results of real world financial and data related issues

PO4: Build the models for effective and strong decision making

PO5: Examine the implications of ethical and legal decision processes

Programme Specific Outcome:

Programme Educational Objective:

Students are evaluated for each course on the basis of written examination and continuous internal assessments. Each paper carries maximum of 100 marks and is evaluated as follows:

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.

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.

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.

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.

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.

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. 

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 Description: This course will extensively cover python tool can be used to analyse real-life business problems such as prediction, classification, discrete choice problems and application of analytics for all.

Course Objectives: The focus of this course will be on case-based practical problem-solving and solution oriented decision making using python.

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.

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.

Course Description:This course will help learners to gain the skills and understanding to convert data to appropriate chart elements, using glyphs, parallel coordinates, and streamgraphs, as well as implementing principles of design and colour to make  visualizations more engaging and effective.

Course Objectives: This course will give a hands-on experience on visualization, exploratory data analytics and descriptive analytics including designing visualization system for large datasets and dashboards using tools such as Tableau, Power BI, Excel, R, and Python to generate visualizations.

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 predictive modelling and evaluation using machine learning.

Course Objectives: This course will give a hands-on experience in predictive, prescriptive and machine learning models.

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

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

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 course aims to introduce students with classes of stochastic processes, analyse their behavior over a finite or infinite time horizon and help them enhance their problem solving skills with various applications in finance.

The course will equip students with theoretical knowledge and practical skills for the analysis of stochastic dynamical systems in finance.

Prescriptive analytics relies on machine learning, which encompasses algorithms and models that allow computers to make decisions based on statistical data relationships and patterns.

Prescriptive analytics is the most powerful branch among the fields of Data Analytics.

This course will extensively cover how prescriptive analytics tools which can be used to analyse real-life business data

The world of finance offers a range of opportunities to profit from. This requires a good understanding of the financial concepts, and their application to real-world data and analysis. This course will enhance the ability of all finance professionals who are engaged or interested in learning how to evaluate opportunities in financial investments.

Introduce to students the concepts of strategic management, and sensitize them to ethical norms in their professional functioning.

The course will help students to understand the concepts and discuss the issues of strategic management enabling them to apply various strategy formulation techniques in decision making.

Course Description:

Derivatives, including options, futures and forwards, are financial instruments that can be used for risk management, speculation, and for arbitrage activities. This course covers derivatives valuation and risk management and demonstrates the strengths and weaknesses of different models and illustrates and exemplifies how valuation models and risk measures are applied in the financial industry.

Course Objectives:

The aim of the course is to introduce the students to various tools and techniques of financial risk management and applications thereof

Course Description: This course will introduce students to the world of fixed-income securitiesand their markets, yield measures, risk factors, and valuation measures anddriverswith the treasuryfunctions.

Course Objectives: Provide in-depth knowledge of fixed income securities market and an understanding of fixed income, equity and other structured products along with its applications.Understanding the treasury function and raising different forms of capital.

Organizations, large and small, are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. 

Course Objectives

Marketing analytics enables marketers to measure, manage and analyse marketing performance to maximize its effectiveness and optimize return on investment (ROI). Beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends, which can be further utilized for future marketing and business decisions. This course, gives students the tools to measure brand and customer assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns.

Course Description

HR Managers must align HR data and initiatives to the organization’s strategic goals. Understanding of HR analytics enables HR professionals to make data-driven decisions to attract, manage, and retain employees, which improves ROI. It helps HR managers and leaders make informed decisions to create better work environment and maximize employee productivity. It has a major impact on the bottom-line when used effectively.

Course Objectives

This programme aims at developing analytical skills which will help HR professionals to conduct comprehensive analysis of data to develop and streamline their HR policies and strategic decisions of organisation. HR analytics entails data-based understanding and management of employees in an organization. It enables data-driven decisions about people's issues in an organization. The topics covered under this course include not just descriptive, prescriptive and predictive analysis; but would also enable the understanding of the various forms of employee-related data available in an organization and their contribution to informed decision-making. 

Course Description

Supply Chain Analytics-the art and science of applying data analytics to assess and improve supply chain performance. A supply chain is a complex system with conflicting objectives of cost efficiency and customer satisfaction. Supply chain management is becoming increasingly data-driven.

Course Objectives

The students will obtain hands-on experience on the application and the financial impact of analytics in integrated supply chain and logistics planning, Inventory and Transportation, Competitive Analysis and Benchmark, Data Analysis, Supply Chain Planning, Distribution and Logistics.

 As per the curriculum of the MSc Finance and Analytics program, students must undergo a mandatory Industry Internship Training for a period of 60 days after they complete the semester II in Accounting / Finance / Investment / Banking / Insurance /Auditing & Taxation.

Course Description The course helps students to understand the moral, social, and ethical considerations regarding the privacy and control of consumer information and big data, from data collection and storage to understand feedback loops in analysis.

Course Objectives The course aims to help students to answer questions such as who owns data, how do we value privacy, how to receive informed consent and what it means to be fair, before using it.

Course Description The data management and cybersecurity course will help students to learn how to deal with the increasing threat of cybercrime that is associated with the rapid technological advancement of today’s world.

Course Objectives The course will help students in identify, analyze and remediate computer security breaches by learning and implementing the real-world scenarios in Cyber Investigations, Network Security.

As per the instruction given in the class