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MBA in Business Analytics at Indian Institute of Engineering Science and Technology, Shibpur
Howrah, West Bengal
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About the Specialization
What is Business Analytics at Indian Institute of Engineering Science and Technology, Shibpur Howrah?
This Business Analytics program at Indian Institute of Engineering Science and Technology, Shibpur focuses on equipping future managers with cutting-edge analytical skills to drive data-informed decision-making. In the rapidly evolving Indian industry landscape, where digital transformation is paramount, this specialization is crucial. It differentiates itself by integrating management principles with advanced data science techniques, preparing graduates for diverse roles across sectors experiencing significant data growth.
Who Should Apply?
This program is ideal for recent graduates across engineering, science, commerce, or management disciplines seeking entry into high-growth analytical roles. It also caters to working professionals aiming to upskill their quantitative capabilities and transition into business intelligence, data science, or consulting. Individuals with a strong aptitude for numbers and problem-solving, irrespective of prior coding experience, will find this curriculum enriching and career-transforming.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative India-specific career paths such as Business Analyst, Data Scientist, Marketing Analyst, Financial Analyst, and Supply Chain Analyst. Entry-level salaries typically range from INR 5-8 lakhs per annum, with experienced professionals commanding significantly higher packages. The program fosters critical thinking and practical application, aligning with industry demand for skilled professionals capable of translating data into strategic business advantages.
Student Success Practices
Foundation Stage
Build a Strong Quantitative and Foundational Base- (Semester 1-2)
Focus rigorously on core subjects like Quantitative Techniques for Management, Managerial Economics, and Accounting for Managers. These form the bedrock for advanced analytics. Actively participate in problem-solving sessions and seek conceptual clarity, even if it means extra hours.
Tools & Resources
Khan Academy, NPTEL courses, Microsoft Excel, Study groups
Career Connection
A solid understanding of management fundamentals and quantitative methods is essential for interpreting analytical results in a business context, which is highly valued in entry-level analyst roles.
Develop Effective Business Communication Skills- (Semester 1-2)
Leverage the Business Communication course to refine both written and oral presentation skills. Practice articulating complex ideas clearly and concisely, preparing for business reports and client interactions. Engage in debates and mock presentations.
Tools & Resources
Toastmasters International, Grammarly, LinkedIn Learning, Peer feedback
Career Connection
Analysts often need to present findings to non-technical stakeholders. Strong communication ensures that insights are understood and acted upon, enhancing career progression in consulting and managerial roles.
Explore Industry Applications and Build Early Networks- (Semester 1-2)
Attend guest lectures, industry seminars, and workshops organized by the department. Research current trends in business analytics, focusing on how Indian companies are leveraging data. Start building a professional network through LinkedIn.
Tools & Resources
LinkedIn, Industry journals, Economic Times, Livemint, Departmental alumni events
Career Connection
Early exposure helps students understand real-world analytical challenges and identify potential career paths, making them more informed and proactive during internships and placements.
Intermediate Stage
Deep Dive into Core Business Analytics Tools & Techniques- (Semester 3)
Master the concepts taught in Business Analytics, Data Mining, Predictive Modeling, and Data Visualization. Focus on hands-on application using relevant software. Complete mini-projects for each analytics course to build a portfolio.
Tools & Resources
Python (Pandas, Scikit-learn, Matplotlib), R (dplyr, ggplot2), SQL, Tableau, Power BI, Kaggle datasets
Career Connection
Proficiency in these tools and techniques is non-negotiable for Business Analyst and Data Scientist roles. A strong portfolio demonstrates practical capability to potential employers.
Seek Industry-Relevant Internships and Live Projects- (Semester 3 (summer after Sem 2, or during Sem 3))
Actively search for summer internships (after Semester 2) or live projects during Semester 3. Prioritize roles that offer exposure to real-world data and business problems in the analytics domain within Indian companies.
Tools & Resources
College placement cell, LinkedIn, Internshala, Company career pages, Alumni network
Career Connection
Internships provide invaluable practical experience, bridge the gap between academia and industry, and often lead to pre-placement offers, significantly boosting placement prospects.
Participate in Data Science Competitions & Workshops- (Semester 3)
Engage in online data science competitions (e.g., Kaggle, Analytics Vidhya) to apply learned concepts and compare skills with peers. Attend specialized workshops on new analytics technologies or domain-specific analytics (e.g., FinTech, Healthcare Analytics).
Tools & Resources
Kaggle, Analytics Vidhya, GitHub, Local tech meetups, Professional body workshops
Career Connection
These activities showcase problem-solving abilities, practical skills, and a commitment to continuous learning, making candidates stand out in competitive job markets and enhancing their resume.
Advanced Stage
Execute a Capstone Project with Real-World Impact- (Semester 4)
For the compulsory Project Work (MB1408), choose a complex business problem, ideally in collaboration with an industry partner. Apply advanced analytics techniques learned in electives like Machine Learning, Financial Analytics, or Marketing Analytics to derive actionable insights.
Tools & Resources
Advanced Python/R libraries, Cloud platforms (AWS, Azure, GCP), Industry data, Academic mentors, Company representatives
Career Connection
A well-executed capstone project demonstrating problem-solving, technical proficiency, and business understanding is a powerful asset in job interviews and can lead to immediate employment opportunities.
Tailor Skills to Specific Industry Domains and Prepare for Placements- (Semester 4)
Based on career aspirations (e.g., Marketing Analyst, Financial Analyst), select advanced electives (e.g., MB1407 Marketing Analytics, MB1406 Financial Analytics) to gain specialized knowledge. Simultaneously, rigorously prepare for placement interviews, focusing on case studies, technical questions, and behavioral rounds.
Tools & Resources
Interview prep books, Mock interviews, Company-specific technical questions, Professional networking platforms
Career Connection
Specialization makes candidates highly desirable for niche roles, while dedicated placement preparation ensures they can effectively articulate their skills and value to potential employers.
Cultivate Professional Brand and Continuous Learning Mindset- (Semester 4 and beyond)
Build a strong online professional presence through LinkedIn, GitHub, and potentially a personal website/blog showcasing projects and insights. Stay updated with emerging trends and technologies in business analytics post-graduation.
Tools & Resources
LinkedIn profile optimization, GitHub repository, Personal blog, Webinars/Conferences, Industry newsletters
Career Connection
A robust professional brand helps in attracting opportunities, while a commitment to continuous learning ensures long-term career growth and relevance in a fast-evolving field.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree in Engineering/Technology or equivalent with minimum 60% marks or equivalent CGPA or a Master''''s degree in any discipline from a recognized University with minimum 60% marks or equivalent CGPA. SC/ST/PwD candidates require 55% marks.
Duration: 2 Years, 4 Semesters
Credits: 96 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB1101 | Principles of Management | Core | 4 | Nature and Significance of Management, Planning and Decision Making, Organizing and Staffing, Directing and Leading, Controlling, Contemporary Management Challenges |
| MB1102 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structures, Pricing Strategies, Capital Budgeting |
| MB1103 | Accounting for Managers | Core | 4 | Financial Accounting Fundamentals, Recording Business Transactions, Financial Statements Analysis, Cost Accounting Concepts, Budgetary Control, Working Capital Management |
| MB1104 | Business Communication | Core | 4 | Essentials of Business Communication, Verbal and Non-Verbal Communication, Written Communication, Oral Communication, Presentations, Intercultural Communication |
| MB1105 | Quantitative Techniques for Management | Core | 4 | Introduction to Quantitative Techniques, Probability and Probability Distributions, Sampling and Hypothesis Testing, Correlation and Regression, Linear Programming, Decision Theory |
| MB1106 | Business Environment and Law | Core | 4 | Economic Environment, Political and Legal Environment, Socio-Cultural Environment, Technological Environment, Consumer Protection Act, Company Law |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB1201 | Organizational Behavior | Core | 4 | Introduction to OB, Individual Behavior, Group Dynamics, Leadership Theories, Motivation, Organizational Culture and Change |
| MB1202 | Marketing Management | Core | 4 | Marketing Concepts, Consumer Behavior, Market Segmentation, Product Life Cycle, Pricing Decisions, Promotion and Distribution Channels |
| MB1203 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting Decisions, Cost of Capital, Capital Structure, Dividend Policy |
| MB1204 | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning, Recruitment and Selection, Training and Development, Performance Management, Compensation and Employee Relations |
| MB1205 | Operations Management | Core | 4 | Introduction to Operations Management, Product and Process Design, Capacity Planning, Inventory Management, Quality Management, Project Management |
| MB1206 | Management Information System | Core | 4 | Introduction to MIS, Information Systems in Business, Database Management Systems, E-Business Systems, Decision Support Systems, IT Infrastructure |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB1301 | Business Research Methods | Core | 4 | Introduction to Research, Research Design, Data Collection Methods, Sampling, Data Analysis, Report Writing |
| MB1302 | Strategic Management | Core | 4 | Strategic Management Process, Environmental Analysis, Strategic Formulation, Corporate and Business Level Strategies, Strategic Implementation, Strategic Control |
| MB1303 | Entrepreneurship and Small Business Management | Core | 4 | Entrepreneurship Concepts, Idea Generation and Opportunity Evaluation, Business Plan Development, Funding New Ventures, Small Business Management, Legal Aspects of Entrepreneurship |
| MB1307 | Business Analytics | Elective (Business Analytics) | 4 | Introduction to Business Analytics, Data Management, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Big Data Concepts |
| MB1308 | Data Mining for Business Decisions | Elective (Business Analytics) | 4 | Data Mining Process, Data Preprocessing, Classification Techniques, Clustering Techniques, Association Rule Mining, Data Mining Applications |
| MB1309 | Predictive Modeling for Business | Elective (Business Analytics) | 4 | Regression Analysis, Time Series Forecasting, Logistic Regression, Decision Trees, Ensemble Methods, Model Evaluation |
| MB1310 | Data Visualization for Business | Elective (Business Analytics) | 4 | Principles of Data Visualization, Chart Types, Dashboard Design, Interactive Visualizations, Data Storytelling, Tools for Visualization |
| MB1311 | Big Data Technologies for Business | Elective (Business Analytics) | 4 | Big Data Ecosystem, Hadoop, Spark, NoSQL Databases, Data Warehousing, Cloud Computing for Big Data |
| MB1312 | Business Intelligence | Elective (Business Analytics) | 4 | Introduction to Business Intelligence, Data Warehousing, OLAP, BI Architecture, Dashboards and Reporting, BI Tools |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB1401 | International Business Management | Core | 4 | Globalization and International Business, International Trade Theories, Foreign Direct Investment, International Financial Markets, Global Marketing, Cross-Cultural Management |
| MB1402 | Advanced Business Analytics | Elective (Business Analytics) | 4 | Optimization Models, Simulation Modeling, Advanced Machine Learning, Text Analytics, Network Analytics, Ethical AI in Business |
| MB1403 | Machine Learning for Business | Elective (Business Analytics) | 4 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Deep Learning Fundamentals, Model Deployment |
| MB1404 | Web and Social Media Analytics | Elective (Business Analytics) | 4 | Web Analytics Fundamentals, Social Media Metrics, Sentiment Analysis, Network Analysis, SEO and SEM Analytics, Google Analytics |
| MB1405 | Supply Chain Analytics | Elective (Business Analytics) | 4 | Supply Chain Optimization, Demand Forecasting, Inventory Analytics, Logistics Analytics, Risk Analytics in Supply Chain, Performance Measurement |
| MB1406 | Financial Analytics | Elective (Business Analytics) | 4 | Portfolio Analytics, Risk Management Analytics, Algorithmic Trading, Credit Scoring, Fraud Detection, Financial Modeling |
| MB1407 | Marketing Analytics | Elective (Business Analytics) | 4 | Customer Lifetime Value, Market Basket Analysis, Churn Prediction, Campaign Optimization, Pricing Analytics, A/B Testing |
| MB1408 | Project Work | Core | 8 | Problem Identification, Literature Review, Methodology Design, Data Collection and Analysis, Report Writing, Presentation and Defense |
