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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 Gandhi Institute of Technology and Management (GITAM) focuses on equipping students with robust analytical skills to transform data into actionable business insights. It integrates foundational business principles with advanced data science techniques, preparing graduates for the rapidly evolving data-driven Indian economy. The program emphasizes practical application and industry relevance, addressing the growing demand for skilled analytics professionals.
Who Should Apply?
This program is ideal for fresh graduates from diverse academic backgrounds who are keen to enter the data analytics field. It also serves working professionals looking to upskill in analytics for career advancement, and career changers transitioning into data-centric roles. Prospective students should possess a strong aptitude for quantitative reasoning and problem-solving.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative career paths as Data Analysts, Business Intelligence Developers, Marketing Analysts, Financial Analysts, and Management Consultants in India. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program fosters critical thinking and problem-solving abilities, aligning with certifications like Tableau or Power BI.
Student Success Practices
Foundation Stage
Strengthen Quantitative and Communication Basics- (Semester 1-2)
Dedicate extra time to mastering foundational subjects like Business Statistics and Managerial Economics. Simultaneously, actively participate in communication workshops and group discussions to hone presentation and report writing skills, which are crucial for analytics roles.
Tools & Resources
Online courses (Coursera, edX) for statistics refreshers, Business newspapers like The Economic Times, Peer study groups
Career Connection
A solid foundation in quantitative methods and clear communication is indispensable for effectively interpreting and presenting data findings to business stakeholders, crucial for entry-level analyst positions.
Engage in Early Skill-Building Workshops- (Semester 1-2)
Seek out and attend workshops on basic IT tools like advanced Excel, database concepts, and introductory programming (e.g., Python basics). Early exposure builds comfort with analytical tools and problem-solving paradigms.
Tools & Resources
Microsoft Excel courses, W3Schools for SQL tutorials, HackerRank for Python practice
Career Connection
Proficiency in data handling tools is a core requirement for almost all analytics jobs. Starting early provides a competitive edge during internships and initial placements.
Cultivate Critical Thinking Through Case Studies- (Semester 1-2)
Actively engage with business case studies in core management subjects. Practice identifying problems, analyzing scenarios, and proposing data-driven solutions. This hones the analytical mindset necessary for business analytics.
Tools & Resources
Harvard Business Review cases, IIM-style case studies, Classroom discussions and presentations
Career Connection
Developing critical thinking and case analysis skills prepares students for real-world business challenges, which are often presented in case-interview formats during recruitment for consulting and analytics firms.
Intermediate Stage
Master Core Analytics Tools and Techniques- (Semester 3-5)
Focus intensely on developing proficiency in programming languages like R/Python and data visualization tools such as Tableau/Power BI. Work on diverse datasets to apply statistical modeling and machine learning concepts learned in class.
Tools & Resources
Kaggle for datasets and competitions, Datacamp/Udemy for R/Python courses, Official Tableau/Power BI documentation
Career Connection
Deep expertise in these tools directly translates to success in job interviews and contributes significantly to building a strong portfolio for roles in data science and business analytics.
Seek Industry Internships and Live Projects- (Semester 3-5)
Actively apply for internships or participate in live industry projects offered by the institution or external companies. Gaining hands-on experience in a corporate setting is invaluable for understanding real-world data challenges and industry practices.
Tools & Resources
College placement cell, LinkedIn Jobs, Internshala
Career Connection
Internships are crucial for bridging the gap between academic knowledge and industry demands, often leading to pre-placement offers (PPOs) and providing vital networking opportunities within the Indian job market.
Build a Portfolio of Analytics Projects- (Semester 3-5)
Independently undertake small to medium-sized analytics projects, documenting the problem, data, methodology, and insights. This could include analyzing publicly available datasets or simulating business scenarios.
Tools & Resources
GitHub for project hosting, Medium/LinkedIn for project write-ups, Public datasets from government portals
Career Connection
A strong project portfolio showcases practical skills and problem-solving abilities to recruiters, demonstrating readiness for analytical roles in Indian companies.
Advanced Stage
Specialize and Deep Dive into Electives- (Semester 6)
Carefully choose specialization electives (e.g., Financial, Marketing, HR Analytics) based on career interests. Deeply explore advanced topics within these chosen areas, applying complex models and case studies.
Tools & Resources
Specialized textbooks and research papers, Industry-specific analytics platforms, Domain expert mentorship
Career Connection
Specialization makes graduates highly desirable for targeted roles within specific industry sectors in India, offering a competitive edge and better career progression.
Intensify Placement Preparation and Mock Interviews- (Semester 6)
Engage rigorously in placement preparation activities, including aptitude tests, technical rounds, and HR interviews. Participate in mock interviews with faculty and alumni, focusing on behavioral questions and scenario-based problem-solving relevant to analytics roles.
Tools & Resources
Placement cell resources, Online aptitude platforms, Alumni network for guidance
Career Connection
Thorough preparation for placement processes is critical for securing desirable job offers in top Indian companies and MNCs, maximizing the return on educational investment.
Network Actively with Professionals and Alumni- (Semester 6)
Attend industry conferences, webinars, and alumni meets to build a professional network. Connect with professionals working in analytics to gain insights into industry trends, career opportunities, and mentorship.
Tools & Resources
LinkedIn networking, Industry events (e.g., Data Science Summit India), GITAM alumni association
Career Connection
Networking opens doors to hidden job markets, provides valuable career advice, and can lead to referrals, which are often key factors in securing placements in the competitive Indian job landscape.
Program Structure and Curriculum
Eligibility:
- Minimum 50% aggregate marks in 10+2 (or equivalent) examination from a recognized central / state board and a qualified score in GITAM Admission Test (GAT) (UG Business) / UGAT / CUET / IPMAT.
Duration: 3 years / 6 semesters
Credits: 140 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BBL101 | Language and Communication Skills | General Elective | 3 | English Grammar and Usage, Reading Comprehension, Public Speaking and Debates, Business Correspondence, Presentation Skills |
| 22BBL103 | Managerial Economics | Foundation Core | 3 | Demand and Supply Analysis, Production and Cost Theory, Market Structures and Pricing, Business Cycles, Macroeconomic Indicators |
| 22BBL105 | Fundamentals of Accounting | Foundation Core | 3 | Accounting Concepts and Principles, Journalizing and Ledger Posting, Trial Balance Preparation, Preparation of Financial Statements, Introduction to Cost Accounting |
| 22BBL107 | Business Law | Foundation Core | 3 | Indian Contract Act, Sale of Goods Act, Negotiable Instruments Act, Consumer Protection Act, Company Law Fundamentals |
| 22BBL109 | Information Technology for Business | Foundation Core | 3 | IT Fundamentals and Components, Operating Systems and Software, Networking Concepts, Database Management Basics, Business Applications of IT |
| 22BBA1XX | Open Elective – I | Open Elective | 2 | |
| 22BBL121 | Skill Enhancement Course – I | Skill Enhancement Course | 2 | |
| 22BAC1XX | Audit Course – I | Audit Course | 0 |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BBL102 | Business Communication Skills | General Elective | 3 | Report Writing and Documentation, Email Etiquette and Netiquette, Effective Presentation Techniques, Interview Skills and Group Discussions, Interpersonal and Cross-Cultural Communication |
| 22BBL104 | Principles of Management | Foundation Core | 3 | Management Theories and Principles, Planning and Decision Making, Organizing and Departmentalization, Staffing and HR Functions, Directing and Controlling |
| 22BBL106 | Marketing Management | Foundation Core | 3 | Marketing Environment Analysis, Consumer Behavior, Market Segmentation and Targeting, Product Life Cycle and Branding, Pricing, Promotion, and Distribution |
| 22BBL108 | Organizational Behavior | Foundation Core | 3 | Individual Behavior in Organizations, Group Dynamics and Teamwork, Motivation Theories, Leadership Styles and Effectiveness, Organizational Culture and Change |
| 22BBL110 | Business Statistics | Foundation Core | 3 | Descriptive Statistics, Probability Theory and Distributions, Sampling and Estimation, Hypothesis Testing, Correlation and Regression Analysis |
| 22BBA2XX | Open Elective – II | Open Elective | 2 | |
| 22BBL122 | Skill Enhancement Course – II | Skill Enhancement Course | 2 | |
| 22BAC2XX | Audit Course – II | Audit Course | 0 |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BBL201 | Human Resource Management | Foundation Core | 3 | HR Planning and Job Analysis, Recruitment and Selection, Training and Development, Performance Management, Compensation and Benefits |
| 22BBL203 | Financial Management | Foundation Core | 3 | Capital Budgeting Decisions, Working Capital Management, Cost of Capital, Dividend Policy, Introduction to Financial Markets |
| 22BBL205 | Operations Management | Foundation Core | 3 | Production Planning and Control, Inventory Management, Quality Management and TQM, Supply Chain Management, Lean Operations and Six Sigma |
| 22BBA211 | Introduction to Business Analytics | Core Competency for Business Analytics | 3 | Overview of Business Analytics, Types of Analytics (Descriptive, Predictive, Prescriptive), Data Sources and Collection, Data Mining Fundamentals, Analytics Frameworks |
| 22BBA213 | Data Visualization with Tableau/Power BI | Core Competency for Business Analytics | 3 | Principles of Data Visualization, Introduction to Tableau/Power BI, Building Interactive Dashboards, Creating Charts and Graphs, Storytelling with Data |
| 22BBA3XX | Open Elective – III | Open Elective | 2 | |
| 22BBL221 | Skill Enhancement Course – III | Skill Enhancement Course | 2 | |
| 22BAC3XX | Audit Course – III | Audit Course | 0 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BBL202 | Research Methodology | Foundation Core | 3 | Research Design and Process, Data Collection Methods (Primary/Secondary), Sampling Techniques, Data Analysis Fundamentals, Report Writing and Ethics in Research |
| 22BBL204 | Entrepreneurship Development | Foundation Core | 3 | Entrepreneurial Process and Mindset, Business Idea Generation, Feasibility Analysis and Business Plan, Startup Funding and Finance, Small Business Management |
| 22BBA212 | Database Management Systems | Core Competency for Business Analytics | 3 | DBMS Architecture and Concepts, Relational Model and SQL, Entity-Relationship (ER) Modeling, Database Normalization, Data Warehousing Concepts |
| 22BBA214 | Statistical Tools for Business Analytics | Core Competency for Business Analytics | 3 | Hypothesis Testing and ANOVA, Multiple Regression Analysis, Time Series Analysis, Factor Analysis, Decision Trees for Classification |
| 22BBA216 | Programming for Analytics (R/Python) | Core Competency for Business Analytics | 3 | R/Python Fundamentals, Data Structures and Control Flow, Functions and Packages, Data Manipulation (Pandas/dplyr), Basic Statistical Computing |
| 22BBA4XX | Open Elective – IV | Open Elective | 2 | |
| 22BBL222 | Skill Enhancement Course – IV | Skill Enhancement Course | 2 | |
| 22BAC4XX | Audit Course – IV | Audit Course | 0 |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BBASUM | Summer Internship | Internship | 2 | Industry Exposure and Application, Project Implementation and Data Analysis, Report Writing and Documentation, Presentation Skills, Professional Networking |
| 22BBA301 | Predictive Analytics | Core Competency for Business Analytics | 3 | Linear and Logistic Regression, Classification Techniques (Decision Trees, SVM), Ensemble Methods (Random Forests), K-Nearest Neighbors, Model Evaluation and Validation |
| 22BBA303 | Machine Learning for Business | Core Competency for Business Analytics | 3 | Supervised and Unsupervised Learning, Clustering Algorithms (K-Means, Hierarchical), Association Rule Mining, Neural Networks Fundamentals, Text Mining for Business |
| 22BBA305 | Business Process Analytics | Core Competency for Business Analytics | 3 | Business Process Modeling (BPMN), Process Mining Techniques, Business Process Reengineering (BPR), Process Performance Measurement, Simulation for Process Improvement |
| 22BBAE3X1 | Elective – I (Business Analytics Specialization) | Specialization Specific Elective | 3 | |
| 22BBAE3X3 | Elective – II (Business Analytics Specialization) | Specialization Specific Elective | 3 | |
| 22BBA5XX | Open Elective – V | Open Elective | 2 | |
| 22BBL321 | Skill Enhancement Course – V | Skill Enhancement Course | 2 |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BBA302 | Prescriptive Analytics | Core Competency for Business Analytics | 3 | Optimization Techniques, Linear Programming, Decision Analysis and Simulation, Queueing Theory, Network Models |
| 22BBA304 | Big Data Technologies | Core Competency for Business Analytics | 3 | Hadoop Ecosystem (HDFS, MapReduce), Apache Spark for Big Data Processing, NoSQL Databases (MongoDB, Cassandra), Cloud Computing for Analytics, Data Governance and Security |
| 22BBA306 | Analytics Project | Project | 6 | Problem Identification and Scope Definition, Data Acquisition and Preprocessing, Methodology and Model Development, Results Interpretation and Validation, Project Report Writing and Presentation |
| 22BBAE3X5 | Elective – III (Business Analytics Specialization) | Specialization Specific Elective | 3 | |
| 22BBA6XX | Open Elective – VI | Open Elective | 2 | |
| 22BBL322 | Skill Enhancement Course – VI | Skill Enhancement Course | 2 |
