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BBA in Business Analytics at Basaveshwara College of Commerce, Arts & Science
Bengaluru, Karnataka
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About the Specialization
What is Business Analytics at Basaveshwara College of Commerce, Arts & Science Bengaluru?
This Business Analytics program at Basaveshwara College of Commerce, Arts & Science focuses on equipping students with skills to transform data into actionable business insights. In the rapidly digitizing Indian economy, data-driven decision-making is crucial, and this specialization prepares students for roles demanding analytical prowess. The program emphasizes a blend of business acumen and analytical techniques to address real-world challenges.
Who Should Apply?
This program is ideal for fresh graduates with a quantitative aptitude seeking entry into data analysis roles, working professionals from management backgrounds looking to upskill in analytics, and career changers transitioning to data-centric industries. Students aspiring to understand consumer behavior, optimize business processes, and contribute to strategic decision-making in Indian companies will find this program highly beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Data Analyst, Business Intelligence Analyst, Marketing Analyst, Financial Analyst, or Operations Analyst in various sectors. Entry-level salaries typically range from INR 3.5-6 LPA, with experienced professionals earning significantly more. The program aligns with industry demands, fostering growth trajectories in IT, finance, retail, and e-commerce within leading Indian companies.
Student Success Practices
Foundation Stage
Build Strong Quantitative Foundations- (Semester 1-2)
Focus intensely on core subjects like Business Statistics and Financial Accounting. Utilize online tutorials, practice problem sets regularly, and participate in peer study groups to solidify understanding of fundamental concepts essential for advanced analytics. This stage is crucial for building the analytical mindset required for business analytics.
Tools & Resources
Khan Academy for Statistics, BYJU''''S Learning App for Accounting, Peer Study Groups
Career Connection
A strong foundation ensures readiness for advanced analytical tools and techniques, which are directly applicable in entry-level data analysis roles and critical for passing technical interviews.
Master Spreadsheet Software- (Semester 1-2)
Go beyond basic Excel. Deepen your skills in Advanced Spreadsheet for Business to handle complex data manipulation, pivot tables, and advanced functions. Aim for certifications in Excel or Google Sheets to showcase proficiency in fundamental data tools.
Tools & Resources
Microsoft Excel Certification, Coursera/Udemy Excel courses, Google Sheets Tutorials
Career Connection
Proficiency in spreadsheets is a universal skill, making you immediately valuable for entry-level data processing and reporting tasks in any Indian business setting.
Engage in Early Problem Solving- (Semester 1-2)
Actively seek opportunities to apply concepts learned in ''''Fundamentals of Business Analytics'''' to small case studies or simulated business problems. Join college clubs focused on business or data to participate in introductory competitions and build a basic portfolio.
Tools & Resources
Harvard Business Review case studies (free access if available), Kaggle ''''Getting Started'''' competitions, College Business/Data Clubs
Career Connection
Early exposure to problem-solving hones critical thinking and demonstrates initiative, making you a more attractive candidate for internships and junior analyst positions.
Intermediate Stage
Deep Dive into Programming for Analytics- (Semester 3-5)
Excel in Python for Data Analysis. Work on practical projects using Pandas, NumPy, and basic visualization libraries. Explore online platforms like HackerRank or LeetCode for coding practice, focusing on data manipulation and basic algorithms.
Tools & Resources
HackerRank/LeetCode, DataCamp/Codecademy Python courses, Jupyter Notebook for practice
Career Connection
Strong programming skills in Python are a primary requirement for most Business Analyst, Data Analyst, and Machine Learning Engineer roles in India''''s tech and startup ecosystem.
Gain Exposure to Data Visualization Tools- (Semester 3-5)
Develop hands-on expertise in Tableau or Power BI. Complete official or reputable online courses and create a portfolio of interactive dashboards based on real or simulated Indian business datasets. Present your visualizations in college forums or competitions.
Tools & Resources
Tableau Public, Microsoft Power BI Desktop (free), Udemy/Coursera courses on Tableau/Power BI
Career Connection
Data visualization is key for communicating insights to business stakeholders. Proficiency in these tools is highly sought after by Indian companies for Business Intelligence and Reporting roles.
Network and Seek Mentorship- (Semester 3-5)
Attend industry workshops, webinars, and guest lectures organized by the college or external organizations. Connect with professionals on LinkedIn, especially alumni working in analytics roles in India, to gain insights and potential mentorship opportunities.
Tools & Resources
LinkedIn, Industry-specific webinars, College alumni network events
Career Connection
Networking opens doors to internships, job referrals, and valuable career advice, significantly enhancing your chances of securing a desirable placement in the competitive Indian job market.
Advanced Stage
Undertake Industry-Relevant Projects- (Semester 6-8)
Focus your Dissertation/Project Work on solving a real-world business problem using advanced analytics techniques (e.g., predictive modeling, marketing analytics) with Indian company data if possible. Collaborate with local startups or NGOs for a practical internship experience.
Tools & Resources
Kaggle datasets, Internshala for Indian internships, Consulting with faculty on project ideas
Career Connection
A robust, industry-relevant final project is a powerful resume booster and provides concrete examples of your analytical capabilities to potential Indian employers during placement drives.
Prepare for Advanced Certifications- (Semester 6-8)
Consider pursuing certifications in specialized areas like Google Cloud Professional Data Engineer, AWS Certified Data Analytics, or Microsoft Certified: Azure Data Scientist Associate, as these are highly valued by Indian and multinational companies operating in India.
Tools & Resources
Google Cloud Skill Badges, AWS Training and Certification, Microsoft Learn
Career Connection
Specialized cloud and analytics certifications validate your skills, differentiate you from other candidates, and increase your eligibility for higher-paying, specialized roles in the Indian tech industry.
Refine Communication and Interview Skills- (Semester 6-8)
Practice communicating complex analytical findings to non-technical audiences. Participate in mock interviews, focusing on both technical questions (SQL, Python, statistics) and behavioral questions relevant to Indian corporate culture. Prepare a strong resume and LinkedIn profile.
Tools & Resources
Mock interview sessions with career services, Online platforms for behavioral interview prep, Resume and LinkedIn optimization workshops
Career Connection
Excellent communication and presentation skills, combined with technical expertise, are critical for success in interviews and for thriving in collaborative analytical roles within Indian organizations.
Program Structure and Curriculum
Eligibility:
- Passed PUC (10+2) or equivalent examination with minimum 35% marks
Duration: 8 semesters / 4 years
Credits: 180 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BUBBALA1.1 | Indian Language | Ability Enhancement Compulsory Course (AECC) | 2 | Language Skills, Grammar, Prose and Poetry, Functional Communication, Cultural Context |
| BUBBALE1.2 | English | Ability Enhancement Compulsory Course (AECC) | 2 | Communication Skills, Grammar and Usage, Reading Comprehension, Writing Skills, Vocabulary Development |
| BBA BA 1.3 | Fundamentals of Business | Discipline Specific Core (DSC) | 4 | Introduction to Business, Forms of Business Organization, Business Environment, Business Ethics, Corporate Social Responsibility |
| BBA BA 1.4 | Financial Accounting | Discipline Specific Core (DSC) | 4 | Accounting Concepts and Principles, Journal and Ledger, Trial Balance, Preparation of Final Accounts, Depreciation Accounting |
| BBA BA 1.5 | Fundamentals of Computers | Discipline Specific Core (DSC) | 4 | Computer Basics and Hardware, Operating Systems, Microsoft Office Applications, Internet and Web Technologies, Basic Network Concepts |
| BBA BA 1.6 | Fundamentals of Business Analytics | Skill Enhancement Course (SEC) | 2 | Introduction to Analytics, Types of Business Analytics, Data Collection Methods, Basic Statistical Tools, Business Applications of Analytics |
| BBA BA 1.7 | Environmental Studies | Value Added Course (VAC) | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Environmental Management, Sustainable Development |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BUBBALA2.1 | Indian Language | Ability Enhancement Compulsory Course (AECC) | 2 | Advanced Language Usage, Literary Forms, Translation Skills, Creative Writing, Cultural Significance |
| BUBBALE2.2 | English | Ability Enhancement Compulsory Course (AECC) | 2 | Professional Communication, Report Writing, Presentation Skills, Group Discussion Techniques, Interview Preparation |
| BBA BA 2.3 | Principles of Management | Discipline Specific Core (DSC) | 4 | Management Concepts and Theories, Planning and Decision Making, Organizing and Staffing, Directing and Motivation, Controlling and Coordination |
| BBA BA 2.4 | Corporate Accounting | Discipline Specific Core (DSC) | 4 | Company Accounts, Issue and Forfeiture of Shares, Issue and Redemption of Debentures, Amalgamation of Companies, Liquidation of Companies |
| BBA BA 2.5 | Business Statistics | Discipline Specific Core (DSC) | 4 | Data Collection and Presentation, Measures of Central Tendency, Measures of Dispersion, Correlation and Regression Analysis, Probability and Probability Distributions |
| BBA BA 2.6 | Advanced Spreadsheet for Business | Skill Enhancement Course (SEC) | 2 | Advanced Excel Functions, Data Validation and Auditing, Pivot Tables and Charts, What-if Analysis, Macros and VBA Basics |
| BBA BA 2.7 | Indian Constitution | Value Added Course (VAC) | 2 | Preamble and Basic Features, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Governments, Constitutional Amendments |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA BA 3.1 | Marketing Management | Discipline Specific Core (DSC) | 4 | Marketing Mix (4Ps), Consumer Behavior, Market Segmentation, Product Life Cycle, Branding and Packaging |
| BBA BA 3.2 | Organisational Behavior | Discipline Specific Core (DSC) | 4 | Individual Behavior in Organizations, Group Dynamics and Teamwork, Motivation Theories, Leadership Styles, Conflict Management and Change |
| BBA BA 3.3 | Cost Accounting | Discipline Specific Core (DSC) | 4 | Cost Concepts and Classification, Cost Sheet Preparation, Marginal Costing, Standard Costing, Budgetary Control |
| BBA BA 3.4 | Introduction to Python for Data Analysis | Discipline Specific Elective (DSE) - Business Analytics | 4 | Python Fundamentals, Data Structures in Python, NumPy for Numerical Operations, Pandas for Data Manipulation, Basic Data Cleaning and Preparation |
| BBA BA 3.5 | Data Visualization using Tableau/Power BI | Skill Enhancement Course (SEC) | 2 | Principles of Data Visualization, Introduction to Tableau/Power BI, Connecting to Data Sources, Creating Various Chart Types, Designing Interactive Dashboards |
| BBA BA 3.6 | Entrepreneurship Development | Discipline Specific Core (DSC) | 4 | Concept of Entrepreneurship, Entrepreneurial Process, Business Plan Development, Funding for Startups, Innovation and Creativity |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA BA 4.1 | Human Resource Management | Discipline Specific Core (DSC) | 4 | HR Planning, Recruitment and Selection, Training and Development, Performance Appraisal, Compensation Management |
| BBA BA 4.2 | Financial Management | Discipline Specific Core (DSC) | 4 | Time Value of Money, Capital Budgeting, Working Capital Management, Cost of Capital, Dividend Policy |
| BBA BA 4.3 | Business Research Methods | Discipline Specific Core (DSC) | 4 | Research Design, Sampling Techniques, Data Collection Methods, Questionnaire Design, Report Writing and Presentation |
| BBA BA 4.4 | Advanced Python for Business Analytics | Discipline Specific Elective (DSE) - Business Analytics | 4 | Advanced Pandas and Data Wrangling, Data Visualization with Matplotlib/Seaborn, Introduction to Machine Learning Libraries, Building Simple Predictive Models, Case Studies in Business Analytics |
| BBA BA 4.5 | Database Management Systems | Skill Enhancement Course (SEC) | 2 | Database Concepts, Entity-Relationship Model, SQL Commands (DDL, DML), Relational Algebra, Database Normalization |
| BBA BA 4.6 | Legal Aspects of Business | Discipline Specific Core (DSC) | 4 | Indian Contract Act, Sale of Goods Act, Consumer Protection Act, Company Law Essentials, Intellectual Property Rights |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA BA 5.1 | Operations Management | Discipline Specific Core (DSC) | 4 | Production Planning and Control, Inventory Management, Quality Management, Supply Chain Management, Project Management Techniques |
| BBA BA 5.2 | International Business | Discipline Specific Core (DSC) | 4 | Globalization and International Trade, Theories of International Trade, Foreign Exchange Markets, WTO and Trade Agreements, International Marketing Strategies |
| BBA BA 5.3 | Data Mining and Warehousing | Discipline Specific Elective (DSE) - Business Analytics | 4 | Data Warehousing Concepts, OLAP and Data Cubes, Introduction to Data Mining, Association Rule Mining, Classification and Clustering Techniques |
| BBA BA 5.4 | Predictive Analytics | Discipline Specific Elective (DSE) - Business Analytics | 4 | Regression Models (Linear, Logistic), Time Series Analysis and Forecasting, Decision Trees and Random Forests, Model Evaluation Metrics, Introduction to Neural Networks |
| BBA BA 5.5 | Open Elective - 1 | Open Elective (OE) | 4 | Topics depend on the specific elective chosen by the student from the university list, typically from other disciplines like Economics, Political Science, etc. |
| BBA BA 5.6 | Income Tax | Discipline Specific Core (DSC) | 4 | Income Tax Act 1961 Basics, Heads of Income, Deductions under Section 80C to 80U, Computation of Taxable Income, Tax Planning and Avoidance |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA BA 6.1 | Strategic Management | Discipline Specific Core (DSC) | 4 | Strategic Planning Process, Environmental Analysis (SWOT, PESTEL), Strategy Formulation, Strategy Implementation, Strategic Control and Evaluation |
| BBA BA 6.2 | Goods & Service Tax (GST) | Discipline Specific Core (DSC) | 4 | Introduction to GST Act, Concept of Supply, Input Tax Credit, GST Registration and Returns, Compliance and Administration |
| BBA BA 6.3 | Big Data Technologies | Discipline Specific Elective (DSE) - Business Analytics | 4 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), NoSQL Databases, Apache Spark, Data Lake Concepts |
| BBA BA 6.4 | Marketing Analytics | Discipline Specific Elective (DSE) - Business Analytics | 4 | Customer Analytics, Market Basket Analysis, Pricing Analytics, Campaign Effectiveness, Web and Social Media Analytics |
| BBA BA 6.5 | Open Elective - 2 | Open Elective (OE) | 4 | Topics depend on the specific elective chosen by the student from the university list, e.g., Supply Chain Management, E-Commerce, etc. |
| BBA BA 6.6 | Project Management | Discipline Specific Core (DSC) | 4 | Project Life Cycle, Project Planning and Scheduling, Resource Management, Risk Management, Project Monitoring and Control |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA BA 7.1 | Business Ethics & Corporate Governance | Discipline Specific Core (DSC) | 4 | Ethical Theories in Business, Corporate Social Responsibility, Principles of Corporate Governance, Role of Board of Directors, Stakeholder Management |
| BBA BA 7.2 | Operations Analytics | Discipline Specific Elective (DSE) - Business Analytics | 4 | Supply Chain Analytics, Inventory Optimization, Quality Analytics, Demand and Capacity Planning, Logistics and Network Design |
| BBA BA 7.3 | Financial Analytics | Discipline Specific Elective (DSE) - Business Analytics | 4 | Portfolio Analytics, Risk Management Analytics, Credit Scoring Models, Fraud Detection Techniques, Financial Modeling and Valuation |
| BBA BA 7.4 | Data Storytelling & Communication | Discipline Specific Elective (DSE) - Business Analytics | 4 | Principles of Data Storytelling, Visual Communication Best Practices, Crafting Data Narratives, Presenting Insights Effectively, Tools for Data Storytelling |
| BBA BA 7.5 | Open Elective - 3 | Open Elective (OE) | 4 | Topics depend on the specific elective chosen by the student from the university list, e.g., Fintech, Public Administration, etc. |
| BBA BA 7.6 | Research Methodology & IPR | Discipline Specific Core (DSC) | 4 | Advanced Research Design, Quantitative and Qualitative Methods, Statistical Software for Analysis, Intellectual Property Rights (IPR), Patents, Trademarks, Copyrights |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA BA 8.1 | Dissertation/Project Work | Discipline Specific Elective (DSE) - Business Analytics | 12 | Problem Identification and Formulation, Literature Review, Research Design and Methodology, Data Collection and Analysis, Report Writing and Presentation |
| BBA BA 8.2 | Emerging Trends in Business Analytics | Discipline Specific Elective (DSE) - Business Analytics | 4 | AI and Machine Learning in BA, Blockchain Analytics, IoT Analytics, Cloud-based Analytics Platforms, Ethical AI and Data Governance |
| BBA BA 8.3 | Capstone Project / Internship | Discipline Specific Elective (DSE) - Business Analytics | 6 | Application of BA Skills to Real-world Problems, Industry Exposure and Experience, Project Implementation and Testing, Final Project Report and Presentation, Professional Networking |
| BBA BA 8.4 | Open Elective - 4 | Open Elective (OE) | 4 | Topics depend on the specific elective chosen by the student from the university list, e.g., Digital Marketing, Rural Management, etc. |
