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BBA in Business Analytics at GITAM (Gandhi Institute of Technology and Management)
Sangareddy, Telangana
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About the Specialization
What is Business Analytics at GITAM (Gandhi Institute of Technology and Management) Sangareddy?
This Business Analytics program at Gandhi Institute of Technology and Management Hyderabad focuses on equipping students with essential skills in data analysis, statistical modeling, and business intelligence. It integrates business knowledge with analytical techniques to solve complex problems and drive data-driven decision-making. The program addresses the growing demand for analytical talent in various Indian industries, offering a blend of theoretical concepts and practical applications.
Who Should Apply?
This program is ideal for fresh graduates with a strong aptitude for mathematics and analytical thinking, seeking entry into data-centric roles in management. It also caters to early-career professionals looking to upskill in analytics to enhance their career trajectory, and career changers transitioning into the rapidly expanding field of business intelligence and data science in the Indian market. Basic computational skills are beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding India-specific career paths such as Business Analyst, Data Analyst, Market Research Analyst, and Consultant across various sectors. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program prepares students for industry-recognized certifications and provides a strong foundation for advanced studies in data science, fostering robust growth trajectories in Indian companies.
Student Success Practices
Foundation Stage
Build Strong Quantitative & Communication Fundamentals- (undefined)
Focus intensely on foundational courses like Business Mathematics, Business Statistics, and Business Communication. Actively participate in labs for Business Analytics Tools and Communication. Utilize online platforms like Khan Academy for math refreshers and Coursera for basic statistics or communication courses to reinforce classroom learning.
Tools & Resources
Khan Academy, Coursera, Excel tutorials
Career Connection
A solid grasp of quantitative methods and effective communication are non-negotiable for any business analytics role, ensuring clarity in data interpretation and presentation to stakeholders.
Develop Early Analytical Software Proficiency- (undefined)
Beyond classroom labs, proactively explore and practice with analytical software introduced in courses like Business Analytics Tools Lab. Spend extra hours learning basic data manipulation and visualization in Excel, R, or Python. Seek out free online courses or tutorials to gain deeper insights into their practical applications.
Tools & Resources
Microsoft Excel, RStudio/Anaconda (for Python), DataCamp (free modules), Kaggle (beginner datasets)
Career Connection
Early proficiency in industry-standard tools makes you highly marketable for entry-level data analyst positions and internships, demonstrating practical readiness.
Engage in Peer Learning and Problem Solving- (undefined)
Form study groups with peers to discuss challenging concepts, work through case studies, and collaboratively solve problems from Business Economics and Principles of Management. Teaching concepts to others deepens your understanding and hones your problem-solving skills, which are critical for analytical thinking.
Tools & Resources
Collaborative whiteboards (Miro, Jamboard), Discord for study groups, Textbook exercises
Career Connection
Developing collaborative problem-solving skills is crucial for team-based analytical projects in real-world business environments, enhancing employability and teamwork.
Intermediate Stage
Apply Analytical Skills to Real-world Cases- (undefined)
As you delve into subjects like Research Methodology, Financial Management, and Operations Management, actively seek out and analyze real-world business case studies. Use spreadsheet modeling skills to build financial projections or operational efficiencies. Participate in college-level business analytics competitions.
Tools & Resources
Harvard Business Review Case Studies, Investopedia (for financial concepts), Spreadsheet modeling software
Career Connection
Translating theoretical knowledge into practical solutions for business problems is key to securing advanced internships and demonstrating problem-solving capabilities to recruiters.
Network with Industry Professionals and Alumni- (undefined)
Attend guest lectures, workshops, and industry events organized by the institution or local professional bodies. Connect with alumni working in business analytics fields through LinkedIn. Seek informal mentorships to understand industry trends, required skills, and career paths in India.
Tools & Resources
LinkedIn, College alumni network portals, Industry conferences (virtual/local)
Career Connection
Networking opens doors to internship opportunities, industry insights, and potential job referrals, which are vital in the competitive Indian job market.
Undertake Mini-Projects and Certifications- (undefined)
Start building a portfolio of small data analysis projects using publicly available datasets (e.g., from government portals, Kaggle). Consider pursuing relevant online certifications in tools like Tableau, Power BI, or basic Python for Data Science from platforms like Coursera or edX.
Tools & Resources
Kaggle, GitHub (for project showcasing), Tableau Public, Coursera/edX certifications
Career Connection
A strong project portfolio and relevant certifications demonstrate proactive learning and practical skills, significantly boosting your profile for specialized analytics roles in India.
Advanced Stage
Deep Dive into Specialization and Advanced Tools- (undefined)
Focus intensely on Business Analytics specific DSE courses like Data Mining, Predictive Analytics, Big Data Analytics, and Machine Learning. Master advanced tools such as R, Python, and SQL for complex data manipulation and model building. Dedicate time to understanding their libraries (e.g., Pandas, Scikit-learn).
Tools & Resources
Python (Pandas, NumPy, Scikit-learn), R, SQL (for database querying), Jupyter Notebooks
Career Connection
Proficiency in advanced analytics techniques and tools is essential for roles requiring sophisticated data insights and machine learning model deployment in organizations.
Execute a Comprehensive Capstone Project/Internship- (undefined)
Utilize the Project/Internship opportunities to work on a substantial, real-world business analytics problem. Apply end-to-end knowledge from data collection to visualization and insights. Aim for an internship with an Indian company known for its analytics capabilities to gain invaluable practical exposure and a strong recommendation.
Tools & Resources
Company datasets (under NDA), Project management tools, Mentorship from industry professionals
Career Connection
A successful capstone project or internship provides hands-on experience, networking, and often leads directly to pre-placement offers, a common recruitment channel in India.
Prepare Rigorously for Placements & Interviews- (undefined)
Start placement preparation early, focusing on quantitative aptitude, logical reasoning, and domain-specific questions for analytics roles. Practice coding challenges, SQL queries, and case studies frequently. Refine your resume and interview skills, including behavioral questions and mock interviews. Tailor applications to Indian companies and their specific hiring criteria.
Tools & Resources
LeetCode, HackerRank, GeeksforGeeks, Placement training workshops, Mock interview platforms
Career Connection
Diligent preparation significantly increases your chances of securing placements in top Indian companies and MNCs looking for skilled business analytics graduates.
Program Structure and Curriculum
Eligibility:
- Pass in 10+2 with minimum 50% aggregate marks or equivalent grade from a recognized Board.
Duration: 3 years (6 semesters)
Credits: 140 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1.1.1.201 | Business Communication-I | Ability Enhancement Compulsory Course | 3 | Introduction to Communication, Types of Communication, Verbal Communication Skills, Non-Verbal Communication, Barriers to Communication, Writing Business Messages |
| 1.1.1.101 | Principles of Management | Discipline Specific Core | 4 | Management: An Overview, Planning, Organizing, Staffing, Directing, Controlling |
| 1.1.1.102 | Business Economics | Discipline Specific Core | 4 | Introduction to Business Economics, Demand and Supply Analysis, Consumer Behaviour, Production and Cost Analysis, Market Structures, Pricing Strategies |
| 1.1.1.103 | Financial Accounting | Discipline Specific Core | 4 | Introduction to Accounting, Accounting Principles and Concepts, Recording Business Transactions, Preparation of Financial Statements, Adjustments and Rectifications, Introduction to Indian Accounting Standards (Ind AS) |
| 1.1.1.104 | Business Mathematics | Discipline Specific Core | 4 | Basic Mathematical Concepts, Matrix Algebra, Calculus for Business, Financial Mathematics, Linear Programming, Set Theory and Logic |
| 1.1.1.301 | Digital Technologies for Business | Skill Enhancement Course | 3 | Introduction to Digital Technologies, Operating Systems and Productivity Tools, Internet and Web Technologies, Data Management, Cyber Security Basics, Emerging Technologies in Business |
| 1.1.1.302 | Business Communication-I Lab | Skill Enhancement Course (Lab) | 1 | Listening Skills, Presentation Skills, Group Discussion Techniques, Interview Skills, Email Writing, Report Writing Practice |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1.1.1.202 | Business Communication-II | Ability Enhancement Compulsory Course | 3 | Advanced Writing Skills, Public Speaking, Negotiation Skills, Intercultural Communication, Corporate Communication, Crisis Communication |
| 1.1.1.105 | Organisational Behaviour | Discipline Specific Core | 4 | Introduction to Organizational Behaviour, Individual Behaviour, Perception and Learning, Motivation, Group Dynamics and Teamwork, Leadership and Power |
| 1.1.1.106 | Marketing Management | Discipline Specific Core | 4 | Introduction to Marketing, Marketing Environment, Consumer and Business Markets, Product Decisions, Pricing Decisions, Promotion and Distribution Decisions |
| 1.1.1.107 | Business Statistics | Discipline Specific Core | 4 | Introduction to Statistics, Data Classification and Tabulation, Measures of Central Tendency, Measures of Dispersion, Correlation and Regression, Probability and Probability Distributions |
| 1.1.1.108 | Cost and Management Accounting | Discipline Specific Core | 4 | Introduction to Cost Accounting, Cost Concepts and Classification, Costing Methods, Budgetary Control, Marginal Costing, Standard Costing |
| 1.1.1.303 | Business Analytics Tools Lab | Skill Enhancement Course (Lab) | 3 | Introduction to Analytical Tools (e.g., Excel, R/Python basics), Data Import and Cleaning, Descriptive Statistics using Tools, Data Visualization in Tools, Basic Regression Analysis in Tools, Reporting and Dashboard Creation |
| 1.1.1.304 | Business Communication-II Lab | Skill Enhancement Course (Lab) | 1 | Advanced Presentation Practice, Mock Interviews, Business Meeting Simulations, Report Writing for Specific Business Scenarios, Cross-cultural Communication Exercises, Effective Feedback Techniques |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1.1.1.203 | Environment and Sustainability | Ability Enhancement Compulsory Course | 2 | Concepts of Environment and Ecology, Environmental Pollution, Natural Resources Management, Biodiversity and Conservation, Sustainable Development Goals, Environmental Policies and Practices |
| 1.1.1.109 | Human Resource Management | Discipline Specific Core | 4 | Introduction to HRM, Human Resource Planning, Recruitment and Selection, Training and Development, Performance Management, Compensation and Benefits |
| 1.1.1.110 | Financial Management | Discipline Specific Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting, Cost of Capital, Capital Structure Decisions, Working Capital Management |
| 1.1.1.111 | Research Methodology for Business | Discipline Specific Core | 4 | Introduction to Business Research, Research Design, Sampling Design, Data Collection Methods, Data Analysis and Interpretation, Report Writing and Presentation |
| 1.1.1.112 | Operations Management | Discipline Specific Core | 4 | Introduction to Operations Management, Process Design and Analysis, Capacity and Location Planning, Inventory Management, Quality Management, Supply Chain Integration |
| 1.1.1.305 | Spreadsheet Modelling for Business | Skill Enhancement Course | 3 | Advanced Excel Functions, Data Analysis with PivotTables, What-If Analysis (Goal Seek, Scenario Manager), Data Validation and Conditional Formatting, Macros and VBA Basics, Building Business Models (Financial, Marketing) |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1.1.1.204 | Indian Constitution and Ethics | Ability Enhancement Compulsory Course | 2 | Introduction to Indian Constitution, Fundamental Rights and Duties, Directive Principles of State Policy, Organs of Government, Business Ethics, Corporate Governance |
| 1.1.1.113 | Entrepreneurship Development | Discipline Specific Core | 4 | Introduction to Entrepreneurship, Creativity and Innovation, Business Idea Generation, Business Plan Development, Funding for Startups, Legal and Regulatory Framework for Startups |
| 1.1.1.114 | Supply Chain Management | Discipline Specific Core | 4 | Introduction to Supply Chain Management, Logistics Management, Inventory Management in SCM, Transportation and Warehousing, Information Technology in SCM, Global Supply Chains |
| 1.1.1.115 | Marketing Research | Discipline Specific Core | 4 | Introduction to Marketing Research, Marketing Research Process, Secondary Data, Primary Data Collection (Surveys, Observations), Questionnaire Design, Data Analysis and Interpretation |
| 1.1.1.116 | Business Law | Discipline Specific Core | 4 | Introduction to Business Law, Indian Contract Act, 1872, Sale of Goods Act, 1930, Negotiable Instruments Act, 1881, Consumer Protection Act, 2019, Companies Act, 2013 |
| 1.1.1.401 | Entrepreneurial Finance | Generic Elective | 3 | Financial management for startups, Sources of startup finance, Valuation of new ventures, Risk management for entrepreneurs, Exit strategies |
| 1.1.1.402 | Digital Marketing | Generic Elective | 3 | Introduction to Digital Marketing, Search Engine Optimization (SEO), Search Engine Marketing (SEM), Social Media Marketing, Content Marketing, Email Marketing |
| 1.1.1.403 | Business Intelligence | Generic Elective | 3 | Introduction to Business Intelligence, Data Warehousing Concepts, Data Mining Techniques, BI Tools and Technologies, Dashboards and Scorecards, Ethical Considerations in BI |
| 1.1.1.404 | Retail Management | Generic Elective | 3 | Introduction to Retailing, Retail Formats, Retail Location Decisions, Merchandise Management, Store Operations, Retail Communication |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1.1.1.205 | Professional Ethics and Values | Ability Enhancement Compulsory Course | 2 | Introduction to Ethics, Ethical Theories, Values and Morals, Professionalism and Work Ethic, Ethical Dilemmas in Business, Corporate Social Responsibility |
| 1.1.1.117 | International Business | Discipline Specific Core | 4 | Introduction to International Business, Theories of International Trade, Modes of Entry into International Business, International Financial Management, Cross-Cultural Management, Global Business Environment |
| 1.1.1.118 | Indian Financial System | Discipline Specific Core | 4 | Overview of Indian Financial System, Financial Markets, Financial Institutions, Financial Instruments, Regulatory Bodies in India, Recent Developments in Indian Finance |
| 1.1.1.501 | Data Mining and Warehousing | Discipline Specific Elective (Business Analytics) | 4 | Introduction to Data Mining, Data Preprocessing, Data Warehousing Architectures, OLAP and OLTP, Association Rule Mining, Classification and Prediction |
| 1.1.1.502 | Predictive Analytics for Business | Discipline Specific Elective (Business Analytics) | 4 | Introduction to Predictive Analytics, Regression Models, Time Series Forecasting, Decision Trees, Model Evaluation and Validation, Application in Business Scenarios |
| 1.1.1.503 | Business Visualization and Storytelling | Discipline Specific Elective (Business Analytics) | 4 | Principles of Data Visualization, Types of Charts and Graphs, Tools for Data Visualization (e.g., Tableau, Power BI), Designing Effective Dashboards, Storytelling with Data, Interactive Visualizations |
| 1.1.1.601 | Green Marketing | Open Elective | 3 | Introduction to Green Marketing, Environmental Scanning, Green Product Strategies, Sustainable Pricing, Green Distribution Channels, Eco-friendly Promotion |
| 1.1.1.602 | Personal Financial Planning | Open Elective | 3 | Introduction to Personal Finance, Budgeting and Saving, Investment Planning, Retirement Planning, Insurance Planning, Tax Planning |
| 1.1.1.603 | E-Commerce | Open Elective | 3 | Introduction to E-Commerce, E-Commerce Business Models, E-Marketing, E-Payment Systems, E-Security and Privacy, Legal and Ethical Issues in E-Commerce |
| 1.1.1.604 | Logistics and Supply Chain Management | Open Elective | 3 | Logistics Fundamentals, Transportation Management, Warehousing and Inventory, Supply Chain Strategy, Information Technology in Logistics, Global Logistics |
| 1.1.1.701 | Project / Internship I | Project/Internship | 3 | Project Identification, Literature Review, Methodology Design, Data Collection, Preliminary Analysis, Report Writing |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1.1.1.206 | Corporate Governance and Social Responsibility | Ability Enhancement Compulsory Course | 2 | Introduction to Corporate Governance, Boards of Directors, Shareholder Rights, Stakeholder Theory, Corporate Social Responsibility (CSR), Ethical Leadership |
| 1.1.1.504 | Big Data Analytics | Discipline Specific Elective (Business Analytics) | 4 | Introduction to Big Data, Big Data Technologies (Hadoop, Spark), NoSQL Databases, Data Stream Analytics, Big Data Security, Ethical Implications of Big Data |
| 1.1.1.505 | Machine Learning for Business | Discipline Specific Elective (Business Analytics) | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Deep Learning Basics, Model Deployment, ML Applications in Business |
| 1.1.1.506 | Web and Social Media Analytics | Discipline Specific Elective (Business Analytics) | 4 | Introduction to Web Analytics, Web Analytics Tools (Google Analytics), Social Media Metrics, Sentiment Analysis, Customer Journey Mapping, A/B Testing |
| 1.1.1.605 | International Human Resource Management | Open Elective | 3 | Introduction to IHRM, Global Workforce Planning, International Recruitment and Selection, Expatriate Management, International Compensation, Cross-cultural Training |
| 1.1.1.606 | Strategic Financial Management | Open Elective | 3 | Introduction to Strategic Financial Management, Investment Decisions, Financing Decisions, Dividend Policy, Mergers and Acquisitions, Risk Management |
| 1.1.1.607 | Customer Relationship Management | Open Elective | 3 | Introduction to CRM, CRM Strategy, Customer Data Management, CRM Technologies, Customer Loyalty Programs, Service Quality in CRM |
| 1.1.1.608 | Operations Strategy | Open Elective | 3 | Introduction to Operations Strategy, Competitive Priorities, Process Strategy, Supply Chain Strategy, Technology and Operations, Global Operations Strategy |
| 1.1.1.702 | Project / Internship II | Project/Internship | 3 | Advanced Project Planning, Implementation of Research Design, In-depth Data Analysis, Interpretation of Findings, Drawing Conclusions and Recommendations, Final Project Report and Presentation |
