MBA IN BUSINESS ANALYTICS

1. MANAGEMENT CONCEPTS AND ORGANISATIONAL BEHAVIOUR
CO1 Developing understanding of managerial practices and their perspectives.
CO2 Understanding and Applying the concepts of organizational behaviour.
CO3 Applying the concepts of management and analyze organizational behaviors in real world situations.
CO4 Comprehend and practice contemporary issues in management.
CO5 Applying managerial and leadership skills among students
2. MANAGERIAL ECONOMICS
CO1 Students will be able to remember the concepts of micro economics and also able to understand the various micro economic principles to make effective economic decisions under conditions of risk and uncertainty.
CO2 The students would be able to understand the law of demand & supply & their elasticities , evaluate &analyse these concepts and apply them in various changing situations in industry . Students would be able to apply various techniques to forecast demand for better utilization of resources.
CO3 The students would be able to understand the production concept and how the production output changes with the change in inputs and able to analyse the effect of cost to business and their relation to analyze the volatility in the business world.
CO4 The students would be able to understand & evaluate the different market structure and their different equilibriums for industry as well as for consumers for the survival in the industry by the application of various pricing strategic.
CO5 The students would be able to analyse the macroeconomic concepts & their relation to micro economic concept & how they affect the business & economy.
3. FINANCIAL ACCOUNTING AND ANALYSIS
CO1 Understand and apply accounting concepts, principles and conventions for their routine monetary transaction.
CO2 Understand about IFRS, Ind AS and IAS for preparation and reporting of financial statements.
CO3 Create and prepare financial statements and Cash flow in accordance with Generally Accepted Accounting Principles.
CO4 Analyse, interpret and communicate the information contained in basic financial statements and explain the limitations of such statements.
CO5 Recognising various types of accounting and utilize the technology and social responsibility in facilitating and enhancing accounting and financial reporting processes.
4. BUSINESS STATISTICS & ANALYTICS
CO1 Gaining Knowledge of basic concept / fundamentals of business statistics.
CO2 To compute various measures of central tendency, Measures of Dispersion, Time Series Analysis, Index Number, Correlation and Regression analysis and their implication on Business performance.
CO3 Evaluating basic concepts of probability and perform probability theoretical distributions
CO4 To apply Hypothesis Testing concepts and able to apply inferential statistics- t, F, Z Test and Chi Square Test
CO5 To perform practical application by taking managerial decision and evaluating the Concept of Business Analytics.
5. MARKETING MANAGEMENT
CO1 Remember and Comprehend basic marketing concepts
CO2 Understand marketing Insights on application of basic marketing concepts.
CO3 Able to Apply and develop Marketing Strategies and Plans
CO4 Understand and Analyzing Business/ Consumer Markets and ability Identify & evaluate Market Segments and Targeting
CO5 Develop skills to understand the current global and digital aspect of marketing.
6. DESIGN THINKING
CO1 Gain in depth knowledge about creative thinking and design thinking in every stage of problem
CO2 Applying design thinking to your real life problems / situations in order to evolve an innovative and workable solutions
CO3 Understand and implement design thinking to your real life problems / situations in order to evolve an innovative and workable solutions
7. INTRODUCTION TO BUSINESS ANALYTICS AND DATA SCIENCE
CO1 Understand the basics of business analysis and Data.
CO2 Understand data management and handling and Data Science Project Life Cycle
CO3 Understand the data mining concept and its techniques
CO4 Understand and Analyzing machine learning concept
CO5 Understand the application of business analysis in different domain
8. IT SKILLS LAB-1
CO1 Gain in depth knowledge about the functioning of computers and its uses for managers
CO2 Learn to use Internet and its applications
CO3 Understand and implement Word processing software
CO4 Learn applications on Spread sheet softwares
CO5 Analyse and learn Presentation software
9. BASICS OF DATA MANAGEMENT WITH “R”
CO1 To gain knowledge of knowledge of R Syntax
CO2 To gain practical experience of Data analysis using R
1. BUSINESS ENVIRONMENT & LEGAL ASPECT OF BUSINESS
CO1 Develop understanding and fundamental knowledge about business environment
CO2 Develop understanding on the concepts of Business Environment and international business environment.
CO3 Develop basic understanding of law of contract
CO4 Understanding of provisions of Companies Act concerning incorporation and regulation of business organizations
CO5 Able to analyze case laws in arriving at conclusions facilitating business decisions
2. DATA MINING TECHNIQUES – PREDICTIVE MODELING AND PATTERN DISCOVERY- USING R
CO1 Understanding of data mining and its functions
CO2 Understanding of classification, clustering algorithms
CO3 To apply classification and clustering methods applicable to predictive analytics using R
CO4 Understanding of how to formulate predictive analytics using R
CO5 Understand pattern discovery using R
3. BUSINESS RESEARCH METHODS
CO1 Knowledge of concept / fundamentals for different types of research.
CO2 Applying relevant research techniques.
CO3 Understanding relevant scaling & measurement techniques and should use appropriate sampling techniques
CO4 Synthesizing different techniques of coding, editing, tabulation and analysis in doing research.
CO5 Evaluating statistical analysis which includes ANOVA technique and prepare research report.
4. FINANCIAL MANAGEMENT AND CORPORATE FINANCE
CO1 Understand the different basic concept / Models of Corporate Finance and Governance
CO2 Understand the practical application of time value of money and evaluating long term investment decisions
CO3 Develop analytical skills to select the best source of capital, structure and leverage.
CO4 Understand the use and application of different models for firm’s optimum dividend pay-out.
CO5 Understand the recent trends of mergers and acquisition and its valuation
5. OPERATIONS MANAGEMENT
CO1 Understand the role of Operations in overall Business Strategy of the firm – the application of OM policies and techniques to the service sector as well as manufacturing firms.
CO2 Understand and apply the concepts of Material Management, Supply Chain Management and TQM perspectives.
CO3 Identify and evaluate the key factors and their interdependence of these factors in the design of effective operating systems.
CO4 Analyze / understand the trends and challenges of Operations Management in the current business environment.
CO5 Apply techniques for effective utilization of operational resources and managing the processes to produce good quality products and services at competitive prices.
6. QUANTITATIVE TECHNIQUES FOR MANAGEMENT
CO1 Be able to understand the characteristics of different types of decision-making environments and the appropriate decision making approaches and tools to be used in each type.
CO2 To formulate linear programming problem and to find optimal solution by graphical simplex method.
CO3 Be able to build and solve Transportation Models and Assignment Models also to solve game theory problems by understanding pure and mix strategies.
CO4 To assign optimal sequence of difference jobs on different machines and develop understanding of queuing theory concepts.
CO5 To implement replacement of equipments at right time and able to implement project management concepts like CPM, PERT to reduce cost and time.
7. INTRODUCTION TO PYTHON
CO1 Students will be able to understand fundamentals of Python and Juypter Notebook.
CO2 Students would be able to understand the data structure, data frames and Pandas Idioms
CO3 Understand date time functions in python
CO4 The students would be able to understand and apply Natural Language Processing and learning algorithm for machine learning techniques.
CO5 Understand Image Processing and Pattern Recognition
8. DATA VISUALIZATION AND DESCRIPTIVE ANALYTICS
CO1 To understand the implementation of descriptive statistics in R.
CO2 To understand the basic concept of data visualization with R.
CO3 To apply R functions to visualize categorical data in the form of Bars and Charts.
CO4 To understand the representation of Histogram, Pyramids, and Box plot in R.
CO5 To understand the visualization of time series and scatter plot.
9. IT SKILLS LAB-2
CO1 To gain knowledge of pivot table and understand the validating & auditing techniques
CO2 Learn to use different charting techniques in MS Excel
CO3 Learn to use different formatting techniques in MS Excel
10. MINI PROJECT -2
CO1 To gain knowledge of issues challenge of the industry
CO2 Learn to prepare report on the application of emerging technologies in the selected industry
1. STRATEGIC MANAGEMENT
CO1 Formulate organizational vision, mission, goals, and values.
CO2 Develop strategies and action plans to achieve an organization’s vision, mission, and goals.
CO3 Develop powers of managerial judgment, how to assess business risk, and improve ability to make sound decisions and achieve effective outcomes.
CO4 Evaluate and revise programs and procedures in order to achieve organizational goals;
CO5 Consider the ethical dimensions of the strategic management process;
2. ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
CO1 To understand the need of Machine Learning & Statistics for solving various problems
CO2 To understand the basic concepts of Supervised and Unsupervised learning.
CO3 To apply regression analysis on the data available.
CO4 To design appropriate machine learning and apply on real world problems
CO5 To optimize different Machine Learning & Deep Learning Techniques
3. UNIVERSAL HUMAN VALUE AND PROFESSIONAL ETHICS
CO1 Understand the significance of value inputs in a classroom, distinguish between values and skills, understand the need, basic guidelines, content andprocess of value education, explore the meaning of happiness and prosperity and do a correct appraisal of the current scenario in the society
CO2 Distinguish between the Self and the Body, understand the meaning of Harmony in the Self the Co-existence of Self and Body
CO3 Understand the value of harmonious relationship based on trust, respect and other naturally acceptable feelings in human-human relationships and explore their role in ensuring a harmonious society
CO4 Understand the harmony in nature and existence, and work out their mutually fulfilling participation in the nature
CO5 Distinguish between ethical and unethical practices, and start working out the strategy to actualize a harmonious environment wherever they work.
4. SUPPLY CHAIN ANALYTICS
CO1 Understanding of global supply chain design and bullwhip effect
CO2 Supply chain profitability and risk pooling
CO3 Forecasting and effect of forecasting errors
CO4 Supply chain coordination and supply contracts
CO5 Supply chain relationship management
5. MARKETING ANALYTICS
CO1 Students will develop the skill in marketing analytics
CO2 Students will be acquainted with better understanding of real life marketing data and its analysis
CO3 Students will develop analytical skill for effective market decision making in real life environment
6. BUSINESS MODELING WITH SPREADSHEETS
CO1 Ability to work on MS Excel and VBA
CO2 Able to apply Excel Modeling Tools in business scenario.
CO3 Ability to understand and apply Solver, travelling salesman problem and optimization techniques in business problem.
CO4 Develop and understand estimating a Demand Curve
CO5 Apply and understand the inventory models.
7. MACHINE LEARNING USING “PYTHON”
CO1 Ability to use data sets in implementing the machine learning algorithms
CO2 Ability to build an Artificial Neural Network
CO3 Understand and ability to implement k-Nearest Neighbor algorithm
CO4 Ability to implement the Regression algorithms
CO5 Ability to use Scikit-learn for machine learning
1. EMERGING TECHNOLOGIES IN GLOBAL BUSINESS
CO1 To get an overview of the changing context of International Business in the wake of Industry 4.0
CO2 Conceptual understanding of the new technologies that are driving change in business operations and strategy
CO3 Understand shifts in economic thought and its impact on business decisions.
CO4 Understand changing geo politics and analyses its impact on international Business
CO5 CO5: Critically think about issues and challenges in the Global World and find sustainable solutions
2. HR ANALYTICS
CO1 To Understand the theory, concepts, and business application of HR analytics, and the ability to track, store, retrieve, analyze and interpret HR data to support decision making
CO2 The student will use applicable benchmarks/metrics to conduct research and statistical analyses related to Human Resource Planning and Recruitment and Selection
CO3 Employ appropriate software to record, maintain, retrieve and analyze Performance and training effectiveness
CO4 Apply quantitative and qualitative analysis to understand and design compensation system.
CO5 Demonstrate how to connect HR results to business results
3. Social Media & Web Analytics
CO1 “Students will develop knowledge, understanding and skills in analysis of Social Media”
CO2 Acquainted with better understanding of implementation Web Analytics tool
CO3 Develop analytical skills for effective decision alternatives in social media problems
CO4 “Develop the knowledge, understanding and skills in Facebook and google analytics.”
CO5 Acquainted with better understanding of implementation of web analytics strategies and develop analytical skills for effective decision alternatives in social media operations
4. Healthcare Analytics
CO1 Identify sources of data, suggest methods for collecting, sharing and analyzing data
CO2 Understanding the issues involved in data quality and their management
CO3 Discuss the difference between descriptive, predictive and prescriptive analytics
CO4 Able to use basic data presentation and visualization tools and manipulate simple datasets
CO5 Able to identify decision problems willing for analytics-based solutions. Understand how data analytics can provide potential solutions to improve quality and lower cost
5. Business Applications of Blockchain Technologies
CO1 Understanding Blockchain and its significance
CO2 Understanding Cryptography and Blockchain networks
CO3 Business Challenges in Blockchain
CO4 Understanding domain specific Blockchain business cases
CO5 Understanding Crypto Economy and Decentralized Internet
6. Database Management System
CO1 Knowledge about the DBMS Technology
CO2 Understanding the business application of DBMS
CO3 Application of DBMS for business process
CO4 Knowledge and uses of Data mining techniques
CO5 Working knowledge of DBMS Software ORACLE
7. Financial and Credit Risk Analytics
CO1 Understand about various types of financial credit
CO2 Understand the credit risk and its rating.
CO3 Understanding of credit commitments and its application
CO4 Understanding of risk management and corporate governance.
CO5 Measure riskiness of a stock or a portfolio position
Semester I
KMBA101 MANAGEMENT CONCEPTS & ORGANISATIONAL BEHAVIOUR.
KMBA102 MANAGERIAL ECONOMICS
KMBA103 FINANCIAL ACCOUNTING FOR MANAGERS
KMBA104 BUSINESS STATISTICS AND ANALYTICS
KMBA105 MARKETING MANAGEMENT
KMBA106 INTRODUCTION TO BUSINESS ANALYTICS & DATA SCIENCE
KMBA107 DESIGN THINKING
KMBA151 IT SKILLS LAB -1
KMBA152 BASICS OF DATA MANAGEMENT WITH “R”
Semester II
KMBA201 BUSINESS ENVIRONMENT & LEGAL ASPECT OF BUSINESS
KMBA202 DATA MINING TECHNIQUES- PREDICTIVE MODELING & PATTERN DISCOVERY-USING R
KMBA203 BUSINESS RESEARCH METHODS
KMBA204 FINANCIAL MANAGEMENT & CORPORATE FINANCE
KMBA205 OPERATIONS MANAGEMENT
KMBA206 QUANITATIVE TECHNIQUES FOR MANAGERS (QTM)
KMBA251 INTRODUCTION TO PYTHON
KMBA252 DATA VISULIZATION & DESCRIPTIVE ANALYTICS USING R
KMBA253 IT SKILLS LAB-2
KMBA254 MINI PROJECT -2
Semester III
KMBA301 STRATEGIC MANAGEMENT
KMBA302 ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
KMBA303 HUMAN VALUE AND PROFESSIONAL ETHICS
KMBA304 SUPPLY CHAIN ANALYTICS
KMBA305 MARKETING ANALYTICS
KMBA306 SUMMER TRAINING PROJECT REPORT & VIVA VOCE
KMBA351 BUSINESS MODELING WITH SPREADSHEETS
KMBA352 MACHINE LEARNING USING “PYTHON”
Semester IV
KMBA401 EMERGING TECHNOLOGIES IN GLOBAL BUSINESS ENVIRONMENT
KMBA402 HR ANALYTICS
KMBA403 SOCIAL MEDIA & WEB ANALYTICS
KMBA404 HEALTHCARE ANALYTICS
KMBA405 BUSINESS APPLICATION OF BLOCK CHAIN TECHNOLOGIES
KMBA406 DATA BASE MANAGEMENT SYSTEM
KMBA407 FINANCIAL AND CREDIT RISK ANALYTICS
KMBA408 RESEARCH PROJECT REPORT & VIVA VOCE
KMBN IB03 INTERNATIONAL LOGISTICS
KMBN IB04 CROSS CULTURAL MANAGEMENT
KMBN IB05 INTERNATIONAL TRADE LAWS
KMBN IT03 DATA BASE MANAGEMENT SYSTME
KMBN IT04 CLOUD COMPUTING FOR BUSINESS
KMBN IT05 BUSINESS DATA WAREHOUSING & DATA MINING
KMBN OM03 QUALITY MANAGEMENT
KMBN OM04 PROJECT & SOURCING MANAGEMENT
KMBN OM05 MANAGEMENT OF MANUFACTURING SYSTEM
KMBN408 RESEARCH PROJECT REPORT & VIV VOCE