.png&w=1920&q=75)
MBA in Business Analytics And Information Science at Indian Institute of Technology Kharagpur
Paschim Medinipur, West Bengal
.png&w=1920&q=75)
About the Specialization
What is Business Analytics and Information Science at Indian Institute of Technology Kharagpur Paschim Medinipur?
This Business Analytics & Information Systems program at Indian Institute of Technology Kharagpur focuses on equipping future managers with the skills to leverage data and technology for strategic decision-making. It integrates advanced analytical tools, modern information systems, and core business acumen, addressing the rapidly increasing demand for data-driven professionals across diverse Indian industries. The program''''s interdisciplinary approach sets it apart.
Who Should Apply?
This program is ideal for engineering, science, commerce, or management graduates with strong analytical aptitude seeking entry into cutting-edge fields. It also caters to working professionals aiming to upskill for roles in data science, business intelligence, or IT consulting, as well as career changers looking to transition into data-intensive industries. A valid CAT score is a prerequisite for admission.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths as Data Scientists, Business Analysts, Business Intelligence Consultants, and IT Project Managers in India. Entry-level salaries typically range from INR 8-15 LPA, with experienced professionals commanding INR 20-40+ LPA. The program aligns with growth trajectories in India''''s booming e-commerce, fintech, healthcare, and manufacturing sectors, fostering future analytics leaders.
Student Success Practices
Foundation Stage
Build Strong Analytical Foundations- (Semester 1-2)
Master core subjects like Business Statistics and Quantitative Techniques. Supplement classroom learning with online courses on platforms like NPTEL or Coursera for foundational programming skills in R or Python. Participate in basic data challenges on platforms like Kaggle to apply statistical concepts.
Tools & Resources
NPTEL, Coursera, Kaggle, R/Python basics
Career Connection
A solid analytical base is crucial for any data-driven role, forming the bedrock for advanced analytics and machine learning skills required in the industry.
Cultivate Interdisciplinary Business Thinking- (Semester 1-2)
Actively seek connections between different core subjects such as Managerial Economics, Marketing Management, and Information Systems. Engage in interdisciplinary case study competitions to practice holistic problem-solving and understand how various business functions interoperate.
Tools & Resources
Harvard Business Review cases, Inter-college competitions
Career Connection
Develops a comprehensive business perspective, essential for understanding data within broader organizational contexts and for strategic decision-making in future roles.
Enhance Professional Communication Skills- (Semester 1-2)
Focus on developing clear and concise presentation and report-writing skills during Business Communication and Marketing Research courses. Actively participate in public speaking groups or mock presentations to articulate complex data insights effectively to diverse audiences.
Tools & Resources
Toastmasters International, Presentation software (PowerPoint, Google Slides)
Career Connection
Effective communication of analytical findings is as important as the analysis itself for career advancement in consulting, analytics, and managerial positions.
Intermediate Stage
Strategically Select Specialization Electives- (Semester 3)
Carefully choose Business Analytics & Information Systems electives in Semester 3 and 4 that align with your specific career interests (e.g., Machine Learning for Business, Big Data Analytics, Digital Marketing Analytics). Form collaborative study groups for in-depth understanding and project work.
Tools & Resources
VGSoM Elective Handbook, Career services counselors
Career Connection
Specialized knowledge in chosen areas enhances your profile for targeted roles and demonstrates expertise to potential employers in the analytics domain.
Gain Hands-on Proficiency with Industry Tools- (Semester 3)
Dedicate time to master industry-standard analytical tools beyond academic requirements. Focus on SQL for database management, Tableau/Power BI for visualization, and Python (Pandas, Scikit-learn) for advanced analytics. Seek out short-term internships or live projects to apply these skills.
Tools & Resources
SQL Practice platforms, Tableau Public, Kaggle notebooks, Python libraries
Career Connection
Practical tool proficiency is a primary demand for almost all business analytics and data science roles, making you job-ready for immediate contributions.
Network Actively with Industry Professionals- (Semester 3)
Attend industry conferences, seminars, and guest lectures organized by VGSoM and external bodies focused on analytics and information systems. Connect with alumni on LinkedIn and engage in informational interviews to build a professional network and gather career insights.
Tools & Resources
LinkedIn, Industry events (e.g., Analytics India Magazine conferences), Alumni network
Career Connection
Networking opens doors to internship and placement opportunities, provides mentorship, and keeps you updated on industry trends and job market demands.
Advanced Stage
Excel in Master''''s Thesis and Capstone Projects- (Semester 4)
Utilize your Master''''s Thesis and any advanced projects to deep-dive into a complex business analytics problem. Apply comprehensive methodologies, generate impactful insights, and contribute significantly to the field or an industry partner. Seek faculty guidance and industry mentorship.
Tools & Resources
Research journals, Statistical software (R, Python), Faculty advisors
Career Connection
A strong thesis showcases your ability to conduct independent research and solve real-world problems, making you a strong candidate for advanced analytics and R&D roles.
Targeted Placement Preparation for Analytics Roles- (Semester 4)
Tailor your resume, cover letter, and interview preparation specifically for desired Data Scientist, Business Analyst, or IT Consultant positions. Practice case interviews, technical analytics questions, and behavioral rounds with career services and peer groups to refine your approach.
Tools & Resources
Career Services, VGSoM, Mock interview platforms, Industry-specific interview guides
Career Connection
Directly prepares you for the rigorous placement process, increasing your chances of securing high-demand roles in analytics and information technology sectors.
Embrace Continuous Learning and Certification- (Semester 4)
Identify relevant professional certifications in your chosen analytics sub-domain (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, SAS/R/Python certifications). Actively engage with emerging trends in AI, ML, and big data through online courses, webinars, and industry publications.
Tools & Resources
Online certification platforms, Industry blogs (Analytics India Magazine), Professional associations
Career Connection
Demonstrates proactive skill development and commitment to the evolving field, crucial for long-term career growth and staying competitive in the analytics industry.
Program Structure and Curriculum
Eligibility:
- B.Tech./B.E./M.Sc./M.Com./MA or equivalent degree with minimum 60% marks (or CGPA of 6.5 on a 10 point scale). For SC/ST/PwD candidates, minimum 55% marks (or CGPA of 6.0 on a 10 point scale). Valid CAT score.
Duration: 2 years / 4 semesters
Credits: 104 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BM60001 | Organizational Behavior | Core | 4 | Introduction to OB, Perception and Learning, Personality and Values, Motivation Theories, Group Dynamics and Teamwork, Leadership and Power |
| BM60003 | Managerial Economics | Core | 4 | Demand and Supply Analysis, Production and Cost Analysis, Market Structures and Pricing Strategies, Game Theory and Strategic Decisions, Risk and Uncertainty in Business, Macroeconomic Indicators |
| BM60005 | Financial Accounting | Core | 4 | Accounting Concepts and Principles, Journal, Ledger, and Trial Balance, Preparation of Financial Statements, Cash Flow Statement Analysis, Financial Statement Ratios, Introduction to IFRS |
| BM60007 | Marketing Management | Core | 4 | Marketing Environment and Research, Consumer and Business Buyer Behavior, Market Segmentation, Targeting, Positioning, Product Life Cycle and New Product Development, Pricing Strategies, Promotion and Distribution Channels |
| BM60009 | Business Statistics | Core | 4 | Data Collection and Presentation, Probability and Probability Distributions, Sampling and Estimation, Hypothesis Testing, Regression and Correlation Analysis, Introduction to Non-parametric Tests |
| BM60011 | Business Communication | Core | 2 | Process and Barriers to Communication, Oral Communication Skills, Written Communication (Reports, Memos), Presentation Skills, Intercultural Communication, Digital Communication |
| BM60013 | Quantitative Techniques for Management | Core | 3 | Linear Programming, Transportation and Assignment Problems, Network Analysis (PERT/CPM), Queuing Theory, Inventory Management Models, Decision Theory |
| BM60015 | Information Systems Management | Core | 2 | Role of IS in Business, Database Management Systems, Enterprise Resource Planning (ERP), E-commerce and Digital Business, IT Infrastructure and Security, IT Strategy and Governance |
| BM60017 | IT Applications in Management Lab | Lab | 1 | Advanced Spreadsheet Modeling, Database Querying (SQL basics), Business Presentation Tools, Decision Support Systems, Introduction to Data Analysis Software |
| BM60019 | Human Values and Professional Ethics | Core | 1 | Ethical Frameworks in Business, Corporate Social Responsibility, Corporate Governance Principles, Stakeholder Ethics, Sustainability and Business, Professional Conduct |
| BM60021 | Summer Training | Project | 4 | Industry Exposure, Application of Management Concepts, Problem Identification, Data Collection and Analysis, Report Writing, Presentation of Findings |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BM60002 | Operations Management | Core | 4 | Process Design and Analysis, Capacity Planning, Inventory Management, Quality Management and Control, Supply Chain Management, Lean Operations and Just-in-Time |
| BM60004 | Financial Management | Core | 4 | Time Value of Money, Capital Budgeting Decisions, Cost of Capital, Working Capital Management, Dividend Policy, Capital Structure Theories |
| BM60006 | Human Resource Management | Core | 4 | HR Planning and Job Analysis, Recruitment and Selection, Training and Development, Performance Management Systems, Compensation and Benefits, Industrial Relations |
| BM60008 | Marketing Research | Core | 4 | Marketing Research Process, Research Design and Data Sources, Sampling Techniques, Questionnaire Design, Data Analysis (ANOVA, Factor Analysis), Report Writing and Presentation |
| BM60010 | Research Methodology | Core | 4 | Scientific Research Process, Problem Identification and Formulation, Literature Review and Hypothesis Development, Research Design (Experimental, Survey, Case Study), Data Collection Methods, Qualitative and Quantitative Data Analysis |
| BM60012 | Legal Aspects of Business | Core | 2 | Indian Contract Act, Sale of Goods Act, Companies Act, Consumer Protection Act, Intellectual Property Rights, Cyber Law and IT Act |
| BM60014 | Managerial Psychology | Core | 3 | Perception and Individual Differences, Motivation Theories, Learning and Reinforcement, Personality and Attitudes, Group Dynamics and Conflict Management, Stress Management |
| BM60016 | Management Simulation Lab | Lab | 1 | Strategic Decision Making through Simulations, Resource Allocation Games, Competitive Strategy Scenarios, Risk Management in Business Simulations, Team-based Problem Solving |
| BM60018 | Business Analytics Lab | Lab | 1 | Data Visualization Tools (Tableau/Power BI), Basic Predictive Modeling in Excel/R, Statistical Software Applications, Data Cleaning and Preprocessing, Dashboard Creation |
| BM60020 | Master''''s Project – Phase I | Project | 3 | Project Problem Identification, Literature Review, Research Design, Data Collection Plan, Preliminary Analysis, Project Proposal Development |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BM70001 | Strategic Management | Core | 4 | Strategic Analysis and Formulation, External and Internal Environmental Analysis, Generic Strategies (Porter''''s), Corporate Level Strategies, Strategy Implementation and Control, Global Strategy |
| BM70003 | Business Ethics & Corporate Governance | Core | 2 | Ethical Theories in Business, Corporate Social Responsibility, Models of Corporate Governance, Role of Board of Directors, Stakeholder Management, Whistle-blowing and Ethical Decision Making |
| BM70005 | Entrepreneurship | Core | 3 | Nature of Entrepreneurship, Opportunity Recognition and Evaluation, Business Plan Development, Startup Funding (Venture Capital, Angel Investors), Legal Aspects for Startups, Marketing and Sales for New Ventures |
| BM70007 | Master''''s Project – Phase II | Project | 3 | Data Analysis and Interpretation, Model Development and Testing, Results Discussion, Report Writing, Recommendation Formulation, Project Presentation and Defense |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BM70000 | Master''''s Thesis | Project | 6 | Independent Research Design, Advanced Data Collection and Analysis, Theoretical Framework Application, Critical Evaluation of Findings, Academic Writing and Citation, Thesis Defense Preparation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BM71101 | Business Intelligence & Data Mining | Elective (Specialization) | 3 | Data Warehousing and OLAP, Data Preprocessing and Exploration, Association Rule Mining, Classification Techniques (Decision Trees, Naive Bayes), Clustering Algorithms (K-Means, Hierarchical), Predictive Analytics Fundamentals |
| BM71103 | Database Management Systems | Elective (Specialization) | 3 | Relational Database Model, SQL Querying and Data Manipulation, Entity-Relationship Modeling, Normalization Techniques, Transaction Management and Concurrency Control, Database Security and Administration |
| BM71105 | Digital Marketing Analytics | Elective (Specialization) | 3 | Web Analytics and Metrics, Search Engine Optimization (SEO), Search Engine Marketing (SEM), Social Media Marketing Analytics, Email Marketing Effectiveness, Customer Journey Analysis and Attribution Models |
| BM71107 | Information Security Management | Elective (Specialization) | 3 | Information Security Principles, Risk Management and Assessment, Cryptography and Network Security, Access Control and Identity Management, Security Policies and Procedures, Cyber Law and Compliance |
| BM71109 | Information Systems Audit | Elective (Specialization) | 3 | IT Audit Process and Frameworks (COBIT), Control Objectives for Information and Related Technology, Risk-Based IT Auditing, IS Audit Standards and Guidelines, Compliance and Regulatory Aspects, IT Governance and Management |
| BM71111 | Enterprise Resource Planning (ERP) | Elective (Specialization) | 3 | ERP Architecture and Components, ERP Implementation Strategies, Core ERP Modules (FI, CO, SD, MM, PP), Supply Chain Integration with ERP, Customer Relationship Management (CRM) Integration, ERP Vendors and Market Overview |
| BM71113 | Social Media Analytics | Elective (Specialization) | 3 | Social Network Analysis Fundamentals, Sentiment Analysis and Opinion Mining, Text Mining for Social Data, Social Listening and Monitoring, Influence and Virality Measurement, Social Media Campaign Performance Evaluation |
| BM71115 | Machine Learning for Business | Elective (Specialization) | 3 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering, PCA), Ensemble Methods (Random Forest, Boosting), Model Evaluation and Hyperparameter Tuning, Introduction to Deep Learning, ML Applications in Business |
| BM71117 | Big Data Analytics | Elective (Specialization) | 3 | Big Data Characteristics (Volume, Velocity, Variety), Hadoop Ecosystem (HDFS, MapReduce), Apache Spark for Data Processing, NoSQL Databases (MongoDB, Cassandra), Data Streaming Technologies (Kafka), Cloud-based Big Data Solutions |
| BM71119 | Cloud Computing for Business | Elective (Specialization) | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models (Public, Private, Hybrid), Virtualization Technologies, Cloud Security and Compliance, Cloud Migration Strategies, Cost Management in Cloud Environments |
| BM71121 | Supply Chain Analytics | Elective (Specialization) | 3 | Demand Forecasting in Supply Chains, Inventory Optimization Models, Logistics Network Design and Optimization, Transportation Analytics, Supply Chain Risk Management, Analytics for Sourcing and Procurement |
| BM71123 | Financial Analytics | Elective (Specialization) | 3 | Time Series Analysis in Finance, Portfolio Optimization Techniques, Risk Modeling (VaR, Stress Testing), Algorithmic Trading Strategies, Fintech Innovations and Analytics, Credit Scoring and Fraud Detection |
| BM71125 | Healthcare Analytics | Elective (Specialization) | 3 | Electronic Health Records (EHR) and Data Sources, Clinical Decision Support Systems, Predictive Modeling in Healthcare (Disease Prediction), Public Health Analytics, Patient Flow and Resource Optimization, Healthcare Outcomes Analysis |
| BM71127 | Prescriptive Analytics | Elective (Specialization) | 3 | Optimization Techniques (Linear, Integer Programming), Simulation Modeling for Decision Making, Decision Trees and Influence Diagrams, A/B Testing and Experimental Design, Multi-Criteria Decision Making, Operations Research Applications |
| BM71129 | Natural Language Processing (NLP) for Business | Elective (Specialization) | 3 | Text Preprocessing and Tokenization, Sentiment Analysis and Opinion Mining, Topic Modeling (LDA), Named Entity Recognition, Chatbots and Virtual Assistants, Large Language Models (Conceptual) |
| BM71131 | AI and Business Strategy | Elective (Specialization) | 3 | AI Fundamentals and Business Applications, Formulating AI Strategy, Ethical Implications of AI, AI Governance and Regulations, Automation and Future of Work, Competitive Advantage through AI |
| BM71133 | Blockchain for Business | Elective (Specialization) | 3 | Blockchain Fundamentals and Cryptography, Cryptocurrencies and Digital Assets, Smart Contracts and Decentralized Applications, Enterprise Blockchain Solutions, Blockchain Use Cases (SCM, Finance, Healthcare), Regulatory Landscape of Blockchain |
| BM71135 | Data Visualization and Storytelling | Elective (Specialization) | 3 | Principles of Effective Data Visualization, Dashboard Design and Best Practices, Storytelling with Data Techniques, Tools for Visualization (Tableau, Power BI), Infographics and Visual Communication, Cognitive Psychology of Perception |
| BM71137 | Project Management Software | Elective (Specialization) | 3 | Project Planning with Software (MS Project, Primavera), Resource Allocation and Management, Cost Estimation and Control, Risk Management in Project Software, Agile Project Management Tools, Reporting and Dashboards for Projects |
