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MBA in Business Analytics at Lingaraj Appa Engineering College
Bidar, Karnataka
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About the Specialization
What is Business Analytics at Lingaraj Appa Engineering College Bidar?
This Business Analytics program at Lingaraj Appa Engineering College focuses on equipping students with analytical tools and techniques to interpret complex business data. In the rapidly digitizing Indian market, it addresses the critical demand for professionals who can leverage data for strategic decision-making and competitive advantage. The program emphasizes both theoretical foundations and practical application, ensuring graduates are industry-ready.
Who Should Apply?
This program is ideal for fresh graduates from diverse backgrounds (engineering, commerce, science) seeking entry into data-driven roles. It also suits working professionals aiming to upskill in analytics for career progression within their current organizations or to transition into a burgeoning field, particularly those with a keen interest in quantitative analysis, problem-solving, and technology in business.
Why Choose This Course?
Graduates of this program can expect to pursue dynamic career paths such as Data Analyst, Business Intelligence Developer, Marketing Analyst, Financial Analyst, or Consultant in various Indian companies. Entry-level salaries typically range from INR 4-7 lakhs, with significant growth potential (INR 10-20 lakhs for experienced professionals) in industries like IT, e-commerce, banking, and consulting, aligning with market demand.
Student Success Practices
Foundation Stage
Build a Strong Quantitative Foundation- (Semester 1-2)
Focus on mastering core quantitative subjects like Business Statistics and Managerial Economics. Utilize online platforms for additional practice, especially for concepts in probability, hypothesis testing, and regression, which are crucial for advanced analytics.
Tools & Resources
Khan Academy, NPTEL courses on statistics, statistical functions in Excel
Career Connection
A strong grasp of statistical principles is fundamental for interpreting analytical models and making informed business decisions, essential for any analyst role in India.
Excel Proficiency for Data Handling- (Semester 1-3)
Dedicate time to become highly proficient in Microsoft Excel beyond basic functions, covering data cleaning, pivot tables, advanced formulas, and basic visualization. The ''''Business Analytics Lab'''' and ''''Excel for Business Analytics Lab'''' subjects are prime opportunities for this.
Tools & Resources
Excel tutorial websites, online courses (e.g., Udemy, Coursera), practice datasets
Career Connection
Excel remains a ubiquitous tool in Indian businesses for initial data analysis and reporting, making advanced proficiency a direct asset for entry-level analyst positions.
Develop Strong Communication and Presentation Skills- (Semester 1-2)
Actively participate in presentations, group discussions, and case study analyses in subjects like Business Communication and Management & Organizational Behavior. Focus on clearly articulating data insights rather than just raw numbers to non-technical audiences.
Tools & Resources
Toastmasters clubs (if available), college debating societies, peer feedback sessions
Career Connection
Analysts need to effectively convey complex findings to non-technical stakeholders. Polished communication skills are vital for career advancement in Indian corporate settings.
Intermediate Stage
Deep Dive into Specialization Electives & Tools- (Semester 3)
Choose Business Analytics focused electives judiciously and go beyond classroom learning by practicing with relevant software like R or Python. Engage in mini-projects using sample datasets related to Marketing, Finance, or HR analytics, aligning with chosen electives.
Tools & Resources
Kaggle datasets, DataCamp, Coursera specializations, official documentation for R/Python libraries
Career Connection
Hands-on experience with industry-standard tools and specific domain analytics directly enhances employability for specialist roles in Indian companies.
Pursue an Impactful Internship- (Semester 3)
Actively seek internships in data analytics, business intelligence, or specific domain analytics (e.g., marketing analytics, financial analytics) within Indian companies. Focus on gaining practical experience in data cleaning, modeling, and reporting to build a professional portfolio.
Tools & Resources
College placement cell, LinkedIn, Internshala, company career pages
Career Connection
An internship provides real-world exposure, builds a professional network, and often serves as a direct pathway to pre-placement offers in the Indian job market.
Engage in Data Challenges and Competitions- (Semester 3-4)
Participate in online data analytics challenges or hackathons. These competitions provide opportunities to apply theoretical knowledge to real-world problems, build a portfolio, and benchmark skills against peers, showcasing your practical abilities.
Tools & Resources
Kaggle, Analytics Vidhya, GitHub for sharing projects
Career Connection
Showcasing success in such competitions demonstrates initiative, problem-solving abilities, and practical skills, making candidates more attractive to Indian recruiters.
Advanced Stage
Undertake a Comprehensive Project Work- (Semester 4)
Select a challenging capstone project (22MBAP4) that allows application of advanced analytics techniques, preferably addressing a real-world business problem. Focus on robust methodology, detailed analysis, and clear presentation of actionable insights.
Tools & Resources
Mentors (faculty/industry), advanced analytics software (Tableau, Power BI, Python/R), cloud platforms
Career Connection
A well-executed project is a crucial portfolio item, demonstrating problem-solving capabilities and industry readiness, directly impacting placement opportunities in Indian companies.
Master Advanced Analytics Tools & Interview Skills- (Semester 4)
Gain deep proficiency in at least one advanced analytics tool (e.g., Tableau, Power BI, specific Python libraries for ML). Simultaneously, prepare rigorously for technical and HR interviews, focusing on case studies and behavioral questions relevant to data roles in India.
Tools & Resources
Mock interviews, online interview prep platforms, company-specific interview guides, LinkedIn for industry insights
Career Connection
Strong command over analytics tools and effective interview performance are non-negotiable for securing top placements in leading analytics firms and corporate data teams across India.
Network Strategically & Seek Mentorship- (Throughout the program, intensified in Semester 4)
Actively attend industry seminars, webinars, and alumni meetups. Connect with professionals in the analytics domain on platforms like LinkedIn. Seek mentorship from faculty or industry veterans for career guidance and insights into the Indian analytics landscape.
Tools & Resources
LinkedIn, industry conferences (e.g., NASSCOM events), alumni network
Career Connection
Networking opens doors to hidden job opportunities, valuable insights, and mentorship that can significantly accelerate career growth in the competitive Indian job market.
Program Structure and Curriculum
Eligibility:
- A recognized Bachelor''''s Degree of minimum 3 years duration with 50% (45% for SC/ST/Category-I) aggregate marks, and a valid score in PGCET/KMAT/CMAT/MAT/XAT/GMAT/ATMA.
Duration: 2 years (4 semesters)
Credits: 100 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA11 | Management and Organizational Behavior | Core | 4 | Introduction to Management, Planning, Organizing, Directing, Controlling, Organizational Behavior, Personality, Perception, Learning, Motivation, Leadership, Communication, Group Dynamics, Team Building, Conflict Management, Organizational Culture, Change Management |
| 22MBA12 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand Analysis, Production and Cost Analysis, Market Structures, Pricing Strategies, Profit Management, Capital Budgeting, Risk and Uncertainty, Macroeconomics for Business, Business Cycles |
| 22MBA13 | Accounting for Managers | Core | 4 | Introduction to Accounting, Financial Statements, Recording Business Transactions, Journal, Ledger, Trial Balance, Final Accounts, Cash Flow Statement, Ratio Analysis, Fund Flow Analysis, Budgeting and Budgetary Control, Marginal Costing |
| 22MBA14 | Business Statistics | Core | 4 | Introduction to Statistics, Data Collection, Presentation, Measures of Central Tendency, Dispersion, Skewness, Probability, Probability Distributions (Binomial, Poisson, Normal), Sampling, Hypothesis Testing (t-test, ANOVA, Chi-square), Correlation, Regression Analysis, Time Series Analysis |
| 22MBA15 | Marketing Management | Core | 4 | Introduction to Marketing, Marketing Environment, Consumer Behavior, Market Segmentation, Targeting, Positioning, Product Decisions, Pricing Decisions, Promotion Decisions, Distribution Decisions, Services Marketing, Digital Marketing, Global Marketing |
| 22MBA16 | Business Communication | Core | 3 | Principles of Communication, Types of Communication, Verbal and Non-Verbal Communication, Barriers, Report Writing, Business Letters, Email Etiquette, Presentations, Group Discussions, Interviews, Cross-Cultural Communication, Digital Communication Ethics |
| 22MBS17 | Skill Development-I: Business Analytics Lab | Skill Development Course | 1 | Introduction to Data Analytics, Spreadsheet Functions, Data Cleaning and Transformation, Basic Statistical Analysis, Visualization Tools (Charts, Graphs), Pivot Tables, What-If Analysis, Decision Making with Data, Case Studies |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA21 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting Decisions, Cost of Capital, Capital Structure Decisions, Leverages, Working Capital Management, Dividend Policy, Sources of Finance, Financial Markets |
| 22MBA22 | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning, Job Analysis, Recruitment, Selection, Training and Development, Performance Appraisal, Compensation Management, Employee Relations, HRIS, Strategic HRM, International HRM |
| 22MBA23 | Operations Management | Core | 4 | Introduction to Operations Management, Productivity, Process Design, Facility Layout, Location, Inventory Management, Material Requirements Planning, Quality Management, Total Quality Management, Supply Chain Management, Project Management |
| 22MBA24 | Research Methods for Business | Core | 4 | Introduction to Research, Research Design, Sampling Design, Data Collection Methods, Questionnaire Design, Scaling Techniques, Data Analysis, Hypothesis Testing (Advanced), Report Writing, Research Ethics |
| 22MBA25 | Entrepreneurship and Business Ethics | Core | 3 | Introduction to Entrepreneurship, Idea Generation, Business Plan, Funding Sources, Legal Aspects, Small Business Management, Family Business, Ethics in Business, Corporate Social Responsibility, Ethical Dilemmas, Corporate Governance |
| 22MBA26 | Management Information System | Core | 3 | Introduction to MIS, Information Systems in Business, Database Management Systems, Data Warehousing, E-Business and E-Commerce, Decision Support Systems, Knowledge Management, CRM, SCM, IT Security and Control, Enterprise Systems |
| 22MBS27 | Skill Development-II: Digital Marketing Lab | Skill Development Course | 1 | Introduction to Digital Marketing, SEO, SEM, Social Media Marketing, Content Marketing, Email Marketing, Mobile Marketing, Website Analytics, Google Analytics, Online Advertising, Campaign Management |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA31 | Strategic Management | Core | 4 | Introduction to Strategic Management, Strategic Analysis, Environmental Scanning, SWOT Analysis, Strategy Formulation, Porter''''s Five Forces, Strategy Implementation, Corporate Strategy, Strategic Control, Global Strategies |
| 22MBA32 | Legal Aspects of Business | Core | 3 | Indian Contract Act, Sale of Goods Act, Negotiable Instruments Act, Consumer Protection Act, Companies Act, Partnership Act, Intellectual Property Rights, Cyber Laws, Labor Laws, Environmental Laws |
| 22MBAI3 | Internship (Report and Viva-Voce) | Internship | 2 | Internship Objectives, Industry Exposure, Problem Identification, Data Collection, Analysis and Findings, Report Writing, Presentation Skills, Viva-Voce Preparation, Professional Development, Networking |
| 22MBS37 | Skill Development-III: Excel for Business Analytics Lab | Skill Development Course | 1 | Advanced Excel Functions, Data Validation, Data Cleaning and Transformation, Text Functions, Conditional Formatting, Data Visualization (Advanced), Solver, Scenario Manager, Goal Seek, Macros, VBA Basics, Dashboard Creation |
| 22MBA33B1 | Business Intelligence & Data Warehousing | Specialization Elective (Business Analytics) | 3 | Introduction to BI, Data Warehousing Concepts, ETL Process, Data Warehouse Architecture, Dimensional Modeling, Star and Snowflake Schemas, OLAP and OLTP, Reporting Tools, Dashboards and Scorecards, Data Governance |
| 22MBA33B2 | Data Mining for Business Decisions | Specialization Elective (Business Analytics) | 3 | Introduction to Data Mining, KDD Process, Data Preprocessing, Classification Techniques (Decision Trees, Naive Bayes), Clustering Techniques (K-Means, Hierarchical), Association Rule Mining (Apriori), Regression, Model Evaluation, Text Mining, Web Mining |
| 22MBA33B3 | Marketing Analytics | Specialization Elective (Business Analytics) | 3 | Introduction to Marketing Analytics, Customer Lifetime Value, Market Segmentation, Targeting, Positioning Analytics, Pricing Analytics, Promotion Mix Analytics, Product Analytics, Digital Marketing Analytics, Campaign Optimization, ROI Measurement |
| 22MBA33B4 | HR Analytics | Specialization Elective (Business Analytics) | 3 | Introduction to HR Analytics, HR Metrics, Talent Acquisition Analytics, Workforce Planning, Performance Analytics, Employee Engagement Analytics, Attrition Prediction, Compensation & Benefits Analytics, Diversity & Inclusion Analytics, HR Dashboarding |
| 22MBA33B5 | Financial Analytics | Specialization Elective (Business Analytics) | 3 | Introduction to Financial Analytics, Financial Statement Analysis, Investment Analytics, Portfolio Optimization, Risk Management Analytics, Fraud Detection, Credit Scoring, Algorithmic Trading, Mergers & Acquisitions Analytics, Valuation Models |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA41 | International Business Management | Core | 4 | Introduction to International Business, Globalization, International Trade Theories, Foreign Direct Investment, International Monetary System, Exchange Rates, International Marketing, Global Human Resource Management, Cross-Cultural Management, Global Strategic Alliances |
| 22MBS47 | Skill Development-IV: Advanced Analytics Tools Lab | Skill Development Course | 1 | Introduction to R/Python for Analytics, Data Manipulation with Pandas/dplyr, Statistical Modeling with R/Python, Machine Learning Libraries (Scikit-learn, Keras), Advanced Data Visualization (ggplot2, Matplotlib, Seaborn) |
| 22MBAP4 | Project Work | Project | 8 | Problem Identification, Literature Review, Methodology Design, Data Collection & Analysis, Report Writing, Conclusion & Recommendations, Presentation Skills, Viva-Voce, Project Management, Independent Research |
| 22MBA43B1 | Predictive Modelling & Machine Learning for Business | Specialization Elective (Business Analytics) | 3 | Supervised Learning, Regression (Linear, Logistic), Classification (SVM, Decision Trees, Random Forests), Unsupervised Learning (Clustering, PCA), Ensemble Methods, Model Evaluation, Time Series Forecasting, Neural Networks Basics |
| 22MBA43B2 | Big Data Technologies | Specialization Elective (Business Analytics) | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, NoSQL Databases (MongoDB, Cassandra), Data Ingestion and Processing (Kafka, Flink), Cloud Platforms for Big Data (AWS, Azure, GCP), Real-time Analytics, Data Lake Architecture |
| 22MBA43B3 | Data Visualization and Storytelling | Specialization Elective (Business Analytics) | 3 | Principles of Effective Visualization, Chart Types, Tools (Tableau, Power BI, D3.js concepts), Designing Dashboards, Interactive Visualizations, Storytelling with Data, Infographics, Cognitive Psychology of Visualization, Best Practices |
| 22MBA43B4 | Supply Chain Analytics | Specialization Elective (Business Analytics) | 3 | Introduction to Supply Chain Analytics, Demand Forecasting, Inventory Optimization, Logistics Analytics, Procurement Analytics, Supplier Performance Analysis, Network Design and Optimization, Risk Analytics in SCM, Warehouse Optimization, Transportation Analytics |
| 22MBA43B5 | Healthcare Analytics | Specialization Elective (Business Analytics) | 3 | Introduction to Healthcare Analytics, Data Sources (EHR, Claims), Predictive Analytics in Healthcare (Disease Prediction, Readmission), Patient Segmentation, Population Health Management, Operations Analytics in Hospitals, Fraud Detection, Healthcare Outcomes Analysis, Public Health Analytics |
