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MBA-BUSINESS-ANALYTICS in General at Rajiv Gandhi Institute of Petroleum Technology
Amethi, Uttar Pradesh
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About the Specialization
What is General at Rajiv Gandhi Institute of Petroleum Technology Amethi?
This MBA (Business Analytics) program at Rajiv Gandhi Institute of Petroleum Technology focuses on equipping future managers with data-driven decision-making skills. It integrates core business principles with advanced analytical techniques. India''''s burgeoning digital economy fuels significant demand for professionals who can leverage data for strategic insights and competitive advantage across diverse industries.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into dynamic data-centric roles or working professionals aiming to upskill in analytics. Individuals from various academic backgrounds – engineering, commerce, science – can thrive. It suits career changers transitioning to the growing field of business intelligence and data science, provided they possess a strong analytical aptitude.
Why Choose This Course?
Graduates can expect lucrative career paths in India as Data Analysts, Business Intelligence Managers, Predictive Modelers, or Consultants. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The program prepares students for roles in IT, finance, retail, and energy sectors, aligning with certifications in analytics tools.
Student Success Practices
Foundation Stage
Build Strong Quantitative & Programming Fundamentals- (Semester 1-2)
Dedicate significant time to mastering Business Statistics, Operations Research, and IT Applications. Practice programming concepts (e.g., Python/R basics often covered in IT Applications) using online platforms and coding challenges to develop a strong analytical base for advanced modules.
Tools & Resources
Khan Academy, Coursera (for Statistics/Python), HackerRank, LeetCode
Career Connection
A solid foundation in quantitative methods and basic programming is crucial for all analytics roles and serves as a prerequisite for specialized subjects and internship opportunities.
Engage Actively in Business Case Studies & Discussions- (Semester 1-2)
Participate enthusiastically in discussions and group projects for core management subjects like Marketing, Finance, and HR. Analyze real-world Indian business cases to understand how data-driven insights influence strategic decisions across functions, preparing for integrated business challenges.
Tools & Resources
Harvard Business Review case studies, IIMBx courses, Economic Times, Livemint
Career Connection
Develops critical thinking, problem-solving skills, and a holistic business perspective, essential for understanding the context where analytics will be applied in Indian companies.
Develop Effective Communication & Presentation Skills- (Semester 1-2)
Focus on refining both written and oral communication through Business Communication courses and seminar presentations. Practice articulating complex business problems and solutions clearly and concisely, a vital skill for presenting analytical findings to non-technical stakeholders in Indian corporate settings.
Tools & Resources
Toastmasters International clubs, PowerPoint, Google Slides, Peer feedback sessions
Career Connection
Excellent communication skills are paramount for analysts to influence business decisions and climb the corporate ladder, especially when presenting insights to senior management.
Intermediate Stage
Master Analytics Tools and Specialized Software- (Semester 3)
Deep dive into tools relevant for Business Analytics electives, such as Python/R for Big Data and Predictive Modeling, SQL for data warehousing, and Tableau/Power BI for visualization. Complete online certifications or projects using these tools to build a robust portfolio demonstrating practical proficiency.
Tools & Resources
Datacamp, Udemy, Coursera (specific courses on Python, R, SQL, Tableau, Power BI), Kaggle competitions
Career Connection
Hands-on expertise with industry-standard analytics tools is a direct requirement for almost all analytics job roles, making candidates immediately employable in the Indian market.
Undertake Industry-Relevant Analytics Projects- (Semester 3)
Seek out opportunities for mini-projects or assignments that involve real-world data challenges. Collaborate with faculty or peers on projects mimicking industry scenarios in marketing, finance, or operations analytics. Participate in university-industry collaborations or hackathons.
Tools & Resources
Public datasets (Government of India portals, UCI Machine Learning Repository), Industry partnerships via college
Career Connection
Practical project experience is highly valued by Indian recruiters, demonstrating problem-solving ability and the application of theoretical knowledge to business problems.
Network with Analytics Professionals and Attend Workshops- (Semester 3)
Actively participate in industry seminars, webinars, and guest lectures hosted by the institute or local analytics communities. Connect with professionals on LinkedIn, seeking mentorship or informational interviews to understand industry trends and career paths within India''''s analytics ecosystem.
Tools & Resources
LinkedIn, Industry association events (e.g., NASSCOM, AIML India), College alumni network
Career Connection
Networking provides insights into real-world challenges, opens doors to internships, mentorships, and potential job opportunities within the Indian analytics sector.
Advanced Stage
Execute a Comprehensive Major Project for Placement- (Semester 4)
Choose a Major Project that aligns with your specialization interests (e.g., Predictive Modeling for a specific industry, NLP for customer sentiment) and has significant business impact. Treat it as a portfolio piece, meticulously documenting methodologies, findings, and business recommendations, to showcase to potential employers.
Tools & Resources
Advanced analytics software (Python libraries, R packages), Cloud platforms (AWS, Azure, GCP), Project management tools
Career Connection
A well-executed major project serves as a powerful demonstration of applied skills, often being a key differentiator during placement interviews in India.
Prepare Rigorously for Placement Interviews and GDs- (Semester 4)
Engage in mock interviews, group discussions (GDs), and aptitude tests regularly. Practice explaining technical concepts in simple business language, focusing on how your analytical skills can solve specific business problems. Research target companies and common questions in the Indian analytics job market.
Tools & Resources
Career Services cell, Online interview preparation platforms, Peer groups for GD practice
Career Connection
Dedicated preparation for selection processes is critical for securing desired placements in competitive Indian companies for analytics roles.
Cultivate Continuous Learning Mindset & Emerging Tech Awareness- (Semester 4)
Stay updated with the latest trends in AI, Machine Learning, and specific analytics domains relevant to Indian industries (e.g., FinTech, HealthTech, Retail Analytics). Follow leading analytics blogs, journals, and participate in online forums to maintain a competitive edge.
Tools & Resources
Medium, Towards Data Science, LinkedIn Learning, Industry reports (NASSCOM, PwC)
Career Connection
The analytics field evolves rapidly; continuous learning ensures long-term career growth and adaptability to new technologies and business challenges in the Indian job market.
Program Structure and Curriculum
Eligibility:
- Bachelor’s degree (minimum three years duration) in any discipline with 60% marks (55% for SC/ST/PwD) or CPI/CGPA of 6.0 (5.5 for SC/ST/PwD) on a 10-point scale. Candidates appearing for the final year of Bachelor’s degree/equivalent qualification examination are also eligible. Must have appeared in CAT-2023/XAT-2024/GMAT-2023-24/CMAT-2024.
Duration: 2 years (4 semesters)
Credits: 99 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-101 | Management Principles & Organizational Behavior | Core | 3 | Introduction to Management, Planning & Decision Making, Organizing & Controlling, Fundamentals of OB, Personality & Motivation, Group Dynamics & Teamwork |
| MBA-102 | Managerial Economics | Core | 3 | Nature and Scope of Economics, Demand and Supply Analysis, Production and Cost Theory, Market Structures and Pricing, Macro-economic Environment, National Income & Business Cycles |
| MBA-103 | Accounting for Managers | Core | 3 | Financial Accounting Concepts, Recording Business Transactions, Financial Statement Analysis, Cost Accounting Techniques, Budgeting and Variance Analysis, Management Control Systems |
| MBA-104 | Business Statistics | Core | 3 | Data Collection & Presentation, Measures of Central Tendency & Dispersion, Probability Theory & Distributions, Sampling & Estimation, Hypothesis Testing, Regression & Correlation Analysis |
| MBA-105 | Marketing Management | Core | 3 | Marketing Concepts & Environment, Consumer & Industrial Buying Behavior, Market Segmentation & Targeting, Product & Brand Management, Pricing Strategies, Promotion & Distribution Channels |
| MBA-106 | Human Resource Management | Core | 3 | HRM Functions & Role, Human Resource Planning, Recruitment & Selection, Training & Development, Performance Management Systems, Compensation & Employee Relations |
| MBA-107 | Business Communication | Core | 3 | Communication Process & Barriers, Verbal & Non-Verbal Communication, Written Communication Skills, Presentation Techniques, Business Correspondence, Cross-Cultural Communication |
| MBA-108 | IT Applications for Management | Core | 3 | Information Technology in Business, Database Management Systems, Data Warehousing Concepts, Enterprise Resource Planning (ERP), Cloud Computing Basics, Cybersecurity Fundamentals |
| MBA-109 | Seminar (Industry Analysis) | Core | 1 | Industry Structure & Dynamics, Competitive Analysis, Market Trends & Future Outlook, SWOT & PESTLE Analysis, Sector Specific Case Studies, Presentation & Report Writing |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-201 | Financial Management | Core | 3 | Goals of Financial Management, Capital Budgeting Decisions, Working Capital Management, Cost of Capital & Capital Structure, Leverage Analysis, Dividend Policy |
| MBA-202 | Operations Management | Core | 3 | Operations Strategy, Process Design & Layout, Capacity Planning, Inventory Management Models, Quality Management & Control, Supply Chain Fundamentals |
| MBA-203 | Research Methodology | Core | 3 | Research Process & Types, Formulating Research Problem, Research Design, Sampling Design & Techniques, Data Collection Methods, Data Analysis & Report Writing |
| MBA-204 | Legal & Business Environment | Core | 3 | Indian Legal System Overview, Contract Act, 1872, Companies Act, 2013, Competition Law, 2002, Consumer Protection Act, Intellectual Property Rights |
| MBA-205 | Business Ethics & Corporate Governance | Core | 3 | Ethical Theories & Frameworks, Ethics in Business Practices, Corporate Social Responsibility, Stakeholder Management, Corporate Governance Principles, Ethical Decision Making |
| MBA-206 | Management Information System | Core | 3 | MIS Concepts & Frameworks, Information Systems for Business Functions, Decision Support Systems (DSS), Knowledge Management Systems, Enterprise Systems & Architectures, IT Strategy & Implementation |
| MBA-207 | Operation Research | Core | 3 | Linear Programming, Transportation Problem, Assignment Problem, Network Analysis (PERT/CPM), Queuing Theory, Simulation Techniques |
| MBA-208 | Entrepreneurship Development | Core | 3 | Concept of Entrepreneurship, Idea Generation & Opportunity Spotting, Business Plan Development, Sources of Funding for Startups, Legal Aspects of New Ventures, Challenges & Growth Strategies |
| MBA-209 | Summer Internship | Core | 6 | Real-world Business Exposure, Problem Identification & Scoping, Data Collection & Analysis, Solution Development & Implementation, Report Writing & Documentation, Professional Presentation Skills |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-301 | Strategic Management | Core | 3 | Strategic Management Process, External & Internal Environmental Analysis, Strategy Formulation, Corporate & Business Level Strategies, Strategy Implementation & Control, Competitive Advantage & Growth |
| MBA-302 | Production & Operations Management | Core | 3 | Production Systems & Planning, Facility Location & Layout, Material Requirements Planning (MRP), Lean Manufacturing & JIT, Project Management Techniques, Service Operations Management |
| MBA-303 | Total Quality Management | Core | 3 | Fundamentals of Quality Management, TQM Principles & Philosophies, Quality Control Tools & Techniques, Six Sigma Methodology, ISO 9000 Series, Quality Leadership & Culture |
| MBA-BA-301 | Data Warehousing and Data Mining | Elective | 3 | Data Warehouse Architecture, ETL Process & Data Modeling, OLAP Operations, Data Mining Concepts & Tasks, Association Rule Mining, Clustering & Classification Techniques |
| MBA-BA-302 | Big Data Analytics | Elective | 3 | Introduction to Big Data Ecosystem, Hadoop Distributed File System (HDFS), MapReduce Framework, Apache Spark for Data Processing, NoSQL Databases (Cassandra, MongoDB), Real-time Data Processing |
| MBA-BA-303 | Business Intelligence | Elective | 3 | Business Intelligence Concepts, Data Visualization Principles, Interactive Dashboards & Reports, Data Governance for BI, Performance Management & KPIs, Tools for BI (Power BI, Tableau Intro) |
| MBA-BA-304 | Marketing Analytics | Elective | 3 | Customer Lifetime Value, Marketing Mix Modeling, Digital & Web Analytics, Social Media Analytics, Campaign Optimization, Customer Segmentation |
| MBA-BA-305 | Financial Analytics | Elective | 3 | Risk Analytics, Portfolio Performance Analysis, Algorithmic Trading Strategies, Predictive Modeling in Finance, Fraud Detection Techniques, Credit Scoring Models |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-BA-401 | Predictive Modeling | Elective | 3 | Linear & Logistic Regression, Decision Trees & Random Forests, Time Series Forecasting, Supervised Learning Algorithms, Model Evaluation Metrics, Model Deployment & Monitoring |
| MBA-BA-402 | Text Mining and Natural Language Processing | Elective | 3 | Text Preprocessing & Tokenization, Sentiment Analysis, Topic Modeling (LDA), Named Entity Recognition, Text Classification, Applications of NLP in Business |
| MBA-BA-403 | Data Visualization with Tableau/Power BI | Elective | 3 | Principles of Effective Data Visualization, Tableau Fundamentals & Interface, Power BI Core Concepts, Dashboard Design & Best Practices, Creating Interactive Reports, Storytelling with Data |
| MBA-BA-404 | Advanced Machine Learning for Business | Elective | 3 | Deep Learning Fundamentals, Neural Networks & Architectures, Reinforcement Learning Concepts, Ensemble Methods (Boosting, Bagging), Feature Engineering & Selection, Advanced Algorithm Applications |
| MBA-BA-405 | AI and Machine Learning in Business | Elective | 3 | Introduction to Artificial Intelligence, Machine Learning Paradigms, Supervised vs. Unsupervised Learning, AI Applications in various sectors, Ethical Considerations in AI, AI Strategy for Business |
| MBA-409 | Major Project | Project | 9 | Problem Definition & Scope, Advanced Research Design, Extensive Data Collection & Preparation, Sophisticated Data Analysis Techniques, Solution Development & Validation, Comprehensive Report & Presentation |
