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BBA in Business Analytics at GITAM (Gandhi Institute of Technology and Management)
Visakhapatnam, Andhra Pradesh
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About the Specialization
What is Business Analytics at GITAM (Gandhi Institute of Technology and Management) Visakhapatnam?
This Business Analytics program at GITAM, Visakhapatnam, focuses on equipping students with skills to transform data into actionable business insights. It addresses the growing demand for data-driven decision-makers in the Indian industry, emphasizing practical application over theoretical concepts. The program differentiates itself by integrating cutting-edge analytical tools and methodologies relevant to India''''s evolving digital economy, preparing students for dynamic roles.
Who Should Apply?
This program is ideal for fresh graduates from any stream seeking entry into the high-growth field of data analytics and business intelligence. It also caters to working professionals aiming to upskill in data-driven strategies or career changers transitioning into analytical roles. Aspiring managers who wish to leverage data for strategic decision-making in various sectors like finance, marketing, and operations within India will find this program highly beneficial.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including Business Analyst, Data Analyst, Market Research Analyst, and Management Consultant. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-25+ LPA in Indian companies. The program aligns with industry certifications like Tableau, Power BI, and Python for Data Science, fostering significant growth trajectories in India''''s expanding tech and business sectors.
Student Success Practices
Foundation Stage
Strengthen Core Business Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand core subjects like Principles of Management, Financial Accounting, and Business Statistics. Form study groups to discuss concepts and solve problems collaboratively. Utilize online resources like NPTEL courses for deeper understanding and supplementary learning.
Tools & Resources
NPTEL courses, Khan Academy, Reference textbooks, Peer study groups
Career Connection
A strong foundation in business ensures you can contextualize data analysis within real-world business problems, making your analytical insights more valuable to employers.
Develop Foundational Digital Proficiency- (Semester 1-2)
Master essential digital tools beyond basic MS Office, focusing on advanced Excel functions relevant to data handling and introductory programming concepts for analytics (even before formal courses). Practice problem-solving on platforms like HackerRank for logical thinking.
Tools & Resources
Advanced Excel tutorials, HackerRank, Coursera/edX for ''''Introduction to Python'''' courses
Career Connection
Early digital proficiency builds a strong base for specialized analytics tools, making the transition to programming for analytics smoother and enhancing your resume for internships.
Engage in Early Exposure to Analytics Concepts- (Semester 1-2)
Actively read business newspapers and magazines (like Economic Times, Business Standard) to understand how data is used in current Indian business scenarios. Attend introductory webinars or workshops on Business Analytics to grasp the field''''s scope and career prospects.
Tools & Resources
Economic Times, Business Standard, GITAM Business School seminars, Online industry webinars
Career Connection
Early engagement cultivates an analytical mindset and helps identify specific areas of interest within Business Analytics, guiding future elective choices and project selections.
Intermediate Stage
Intensive Programming and Database Skill Development- (Semester 3-5)
Beyond coursework, consistently practice Python/R for data manipulation and statistical analysis. Work on mini-projects involving real datasets. Learn SQL thoroughly and practice complex queries using online platforms. Consider earning a foundational certification.
Tools & Resources
Kaggle for datasets and competitions, LeetCode (SQL problems), DataCamp/Udemy courses, HackerRank (Python/R)
Career Connection
Mastery of programming languages and databases is non-negotiable for analytics roles, directly impacting your ability to secure internships and entry-level positions in Indian tech and data companies.
Seek Industry-Relevant Mini-Projects and Internships- (Semester 3-5)
Actively look for short-term internships or live projects with local startups or small businesses in Visakhapatnam/Hyderabad to apply learned concepts. Focus on roles that allow hands-on data analysis and visualization. Network with seniors and faculty for opportunities.
Tools & Resources
LinkedIn, Internshala, College placement cell, Faculty network
Career Connection
Practical experience through internships demonstrates your ability to apply skills in a professional setting, making your profile highly attractive to Indian recruiters and often leading to pre-placement offers.
Participate in Data Science Competitions- (Semester 3-5)
Engage in online data science competitions on platforms like Kaggle or Analytics Vidhya. This provides exposure to diverse problem statements, allows you to benchmark your skills against others, and builds a portfolio of practical problem-solving experience.
Tools & Resources
Kaggle.com, AnalyticsVidhya.com, GitHub for sharing projects
Career Connection
Winning or even participating in such competitions significantly boosts your resume, showcasing your practical skills and problem-solving aptitude to potential employers in India''''s competitive analytics job market.
Advanced Stage
Build a Comprehensive Analytics Portfolio- (Semester 6)
Curate a portfolio of your best projects from coursework, internships, and competitions on platforms like GitHub. Include clear problem statements, methodologies, findings, and visualizations. Ensure it reflects diverse analytical techniques and business applications.
Tools & Resources
GitHub, Personal website/blog (optional), LinkedIn for project showcases
Career Connection
A strong portfolio is crucial for demonstrating your capabilities to Indian employers, offering tangible proof of your skills and often being a key differentiator in placement interviews.
Focus on Specialization and Advanced Tools- (Semester 6)
Deep dive into your chosen area of interest (e.g., Marketing Analytics, Financial Analytics). Master advanced visualization tools like Tableau or Power BI and aim for professional certifications. Explore concepts of Big Data and AI/ML as they apply to business scenarios.
Tools & Resources
Tableau/Power BI certifications, Google Analytics certification, AWS/Azure data certifications, Advanced online courses
Career Connection
Specialized knowledge and certifications enhance your marketability, allowing you to target specific, high-demand roles and potentially command higher salaries in the Indian job market.
Intensive Placement Preparation and Networking- (Semester 6)
Engage in mock interviews, group discussions, and aptitude test preparation. Actively network with alumni and industry professionals on LinkedIn, attending industry events and conferences. Refine your resume and cover letter with the help of the career services cell.
Tools & Resources
GITAM Career Services, LinkedIn networking, Aptitude test prep platforms, Mock interview services
Career Connection
Thorough preparation ensures you are interview-ready for top companies visiting campus, while networking opens doors to off-campus opportunities and mentorship, vital for career progression in India.
Program Structure and Curriculum
Eligibility:
- Minimum 50% aggregate marks in 10+2 (Intermediate / CBSE / ICSE / NIOS / Other equivalent board examinations).
Duration: 3 years (6 semesters)
Credits: 150 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BAB101 | Principles of Management | Core | 4 | Nature and Scope of Management, Planning and Decision Making, Organizing and Staffing, Directing and Controlling, Managerial Ethics and Social Responsibility |
| BAB103 | Business Communication | Core | 3 | Fundamentals of Communication, Verbal and Non-verbal Communication, Business Correspondence, Report Writing, Presentation Skills |
| BAB105 | Financial Accounting | Core | 4 | Accounting Principles and Concepts, Journal and Ledger, Trial Balance and Final Accounts, Depreciation Accounting, Introduction to Accounting Software |
| BAB107 | Business Mathematics | Core | 4 | Matrices and Determinants, Calculus for Business, Linear Programming, Set Theory, Financial Mathematics |
| BAB121 | Introduction to Digital Tools and Technology | Core | 3 | Operating Systems, MS Office Suite, Internet and Web Technologies, Data Security, Cloud Computing Basics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BAB102 | Organizational Behavior | Core | 4 | Foundations of Individual Behavior, Motivation and Leadership, Group Dynamics and Team Building, Organizational Culture, Conflict Management |
| BAB104 | Marketing Management | Core | 4 | Marketing Concepts and Environment, Market Segmentation and Targeting, Product and Pricing Decisions, Promotion and Distribution Channels, Consumer Behavior |
| BAB106 | Business Statistics | Core | 4 | Descriptive Statistics, Probability Distributions, Sampling and Estimation, Hypothesis Testing, Correlation and Regression |
| BAB108 | Environmental Studies | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources Management, Sustainable Development, Environmental Policies |
| BAB122 | Indian Constitution | Core | 2 | Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Governments, Judiciary in India, Constitutional Amendments |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BAB201 | Human Resource Management | Core | 4 | HR Planning and Recruitment, Selection and Placement, Training and Development, Performance Management, Compensation and Benefits |
| BAB203 | Operations Management | Core | 4 | Introduction to Operations Management, Production Planning and Control, Inventory Management, Quality Management, Supply Chain Logistics |
| BAB205 | Cost and Management Accounting | Core | 4 | Cost Concepts and Classification, Cost Sheet and Break-Even Analysis, Budgetary Control, Standard Costing, Decision Making Techniques |
| BAB207 | Introduction to Business Analytics | Core (Specialization) | 4 | Analytics Overview and Applications, Data Collection and Preparation, Descriptive Analytics Techniques, Diagnostic Analytics and Root Cause Analysis, Analytics Tools and Technologies |
| BAB221 | Programming for Business Analytics (R/Python) | Core (Specialization) | 4 | Introduction to R/Python Programming, Data Structures and Operations, Data Manipulation with Pandas/dplyr, Basic Statistical Functions, Data Visualization Basics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BAB202 | Financial Management | Core | 4 | Financial System and Markets, Capital Budgeting Decisions, Working Capital Management, Cost of Capital, Dividend Policy |
| BAB204 | Business Research Methods | Core | 4 | Research Process and Design, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing |
| BAB206 | Database Management Systems | Core (Specialization) | 4 | Database Concepts and Architecture, Entity-Relationship Model, Relational Model and Normalization, SQL Queries, Database Security and Integrity |
| BAB222 | Predictive Analytics | Core (Specialization) | 4 | Introduction to Predictive Modeling, Regression Analysis, Classification Techniques (Logistic Regression, Decision Trees), Time Series Forecasting, Model Evaluation Metrics |
| BAB224 | Data Visualization for Business | Core (Specialization) | 3 | Principles of Data Visualization, Chart Types and Best Practices, Dashboard Design, Tools like Tableau/Power BI, Storytelling with Data |
| BAB291 | Mini Project | Project | 2 | Problem Identification, Data Collection, Analysis and Solution Development, Report Writing, Presentation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BAB301 | Strategic Management | Core | 4 | Strategic Planning Process, Environmental Analysis, Strategy Formulation, Strategy Implementation, Strategic Control |
| BAB303 | Entrepreneurship Development | Core | 4 | Entrepreneurial Process, Business Idea Generation, Feasibility Analysis, Business Plan Development, Funding for Startups |
| BAB321 | Big Data Technologies | Core (Specialization) | 4 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), NoSQL Databases, Data Streaming Concepts, Cloud-based Big Data Solutions |
| BAB323 | Marketing Analytics | Elective (Specialization) | 3 | Customer Segmentation, Market Basket Analysis, Campaign Effectiveness Measurement, Social Media Analytics, Web Analytics |
| BAB325 | Financial Analytics | Elective (Specialization) | 3 | Time Series Analysis for Finance, Risk Analytics, Portfolio Optimization, Fraud Detection, Algorithmic Trading Basics |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BAB302 | International Business | Core | 4 | Globalization and International Trade, Foreign Direct Investment, International Marketing, Global Human Resource Management, Cross-Cultural Management |
| BAB304 | Business Law and Ethics | Core | 4 | Indian Contract Act, Companies Act, Consumer Protection Act, Intellectual Property Rights, Business Ethics and CSR |
| BAB322 | Prescriptive Analytics | Core (Specialization) | 4 | Optimization Techniques, Simulation Modeling, Decision Analysis, Forecasting and Demand Planning, Application in Operations |
| BAB324 | Business Intelligence and Reporting | Core (Specialization) | 4 | BI Architecture and Components, Data Warehousing Concepts, ETL Process, BI Tools and Dashboards, Performance Management |
| BAB391 | Major Project / Internship | Project | 8 | Problem Definition and Literature Review, Methodology and Data Collection, Data Analysis and Interpretation, Results and Discussion, Report Writing and Presentation |
