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B-COM in Business Data Analytics at Government R. C. College of Commerce and Management
Bengaluru, Karnataka
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About the Specialization
What is Business Data Analytics at Government R. C. College of Commerce and Management Bengaluru?
This B.Com (Business Analytics) program at Government Ramnarayan Chellaram College of Commerce and Management, Bengaluru, focuses on equipping students with essential skills to analyze complex business data, derive actionable insights, and make informed strategic decisions. In the rapidly evolving Indian business landscape, where data-driven strategies are paramount, this specialization prepares graduates to tackle real-world challenges. The program differentiates itself by blending core commerce knowledge with advanced analytical tools and techniques, fostering a holistic understanding of business operations and data science principles. It addresses the growing industry demand for professionals who can bridge the gap between business functions and technological prowess.
Who Should Apply?
This program is ideal for fresh graduates with a background in commerce or science (PUC/10+2) seeking entry into the burgeoning field of business intelligence and analytics. It also caters to aspiring data analysts, business consultants, and financial professionals who wish to specialize in data-driven decision-making within Indian enterprises. Students with strong analytical aptitude, an interest in technology, and a desire to understand market trends and consumer behavior will find this program particularly rewarding. Prior exposure to basic statistics or computer applications can be beneficial but is not strictly mandatory, as foundational courses are included.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles such as Business Analyst, Data Analyst, Market Research Analyst, Financial Analyst (with a data focus), and Junior Consultant. Entry-level salaries typically range from INR 3.5 Lakhs to 6 Lakhs per annum, with experienced professionals earning upwards of INR 10-15 Lakhs, especially in metropolitan cities like Bengaluru, Mumbai, and Hyderabad. Growth trajectories are strong, leading to positions like Senior Business Analyst, Analytics Manager, or Data Science Lead in companies across sectors like IT, e-commerce, banking, retail, and healthcare. The curriculum aligns with foundational knowledge required for certifications like Tableau Specialist or Microsoft Certified: Data Analyst Associate.
Student Success Practices
Foundation Stage
Build a Strong Foundational Knowledge Base- (Semester 1-2)
Focus diligently on core commerce subjects like Financial Accounting and Principles of Marketing, alongside developing strong English communication skills. Understand how these foundational business concepts form the basis for later analytical applications. Actively participate in classroom discussions and seek clarity on concepts.
Tools & Resources
Textbook exercises, Online commerce tutorials (e.g., YouTube channels like CA Rachana Ranade), Academic journals, Peer study groups
Career Connection
A solid grasp of business fundamentals is crucial for a business analyst to understand the context of data, identify relevant metrics, and interpret insights accurately, making them more valuable to employers.
Develop Digital Fluency and Basic Office Skills- (Semester 1-2)
Master essential digital tools like MS Office (Excel, Word, PowerPoint) and understand basic computer operations and internet usage. Explore introductory programming concepts, even if not part of the core curriculum, through online platforms to build computational thinking.
Tools & Resources
Microsoft Office suite, NPTEL for Digital Fluency, Coursera for ''''Introduction to Computers'''', Codecademy, freeCodeCamp
Career Connection
Proficiency in office tools and digital literacy are non-negotiable for almost any entry-level role in business analytics, ensuring efficient data handling and presentation.
Cultivate Problem-Solving and Analytical Thinking- (Semester 1-2)
Engage in logic puzzles, brain teasers, and case studies to sharpen analytical and critical thinking skills. During subject studies, always question ''''why'''' and ''''how'''' things work, rather than just memorizing. Participate in college-level debates or problem-solving competitions.
Tools & Resources
Online puzzle sites (e.g., Lumosity, Khan Academy for critical thinking), Business case study competitions, Group projects
Career Connection
Business analysts are fundamentally problem-solvers. Developing this skill early on is paramount for effectively translating business problems into analytical questions and vice-versa.
Intermediate Stage
Master Data Management and Statistical Tools- (Semester 3-4)
Deep dive into subjects like Business Statistics and Database Management System (DBMS). Actively practice SQL queries for data extraction and manipulation. Gain hands-on experience with statistical software. Start understanding data types, distributions, and hypothesis testing.
Tools & Resources
SQL practice platforms (e.g., HackerRank, LeetCode SQL), Statistical software like R (RStudio), Online tutorials for DBMS and statistics
Career Connection
These are core technical skills for any data professional. Proficiency ensures you can access, clean, and prepare data for analysis, which is 70-80% of a data analyst''''s job.
Gain Practical Experience with Business Analytics Tools- (Semester 4-5)
Actively learn and apply R programming for business analytics and data visualization tools like Tableau or Power BI. Work on small projects using real or simulated business datasets. Seek out opportunities to present your analytical findings.
Tools & Resources
RStudio, Tableau Public (free version), Power BI Desktop (free version), Kaggle datasets, College labs for practical sessions
Career Connection
Hands-on proficiency in these tools makes you directly employable. Employers look for candidates who can immediately contribute by performing data analysis and creating impactful visualizations.
Network with Professionals and Explore Internships- (Semester 4-5)
Attend industry workshops, seminars, and guest lectures (online/offline). Connect with alumni and professionals on LinkedIn. Actively search for and pursue internships (even unpaid ones) in data analytics roles within startups or small businesses in Bengaluru.
Tools & Resources
LinkedIn, College career fair, Industry events, Local meetups in Bengaluru for data professionals
Career Connection
Internships provide invaluable real-world experience, build your professional network, and often lead to pre-placement offers or strong references, significantly boosting your placement chances.
Advanced Stage
Specialize in Advanced Analytics and Machine Learning- (Semester 5-6)
Focus intensely on Big Data Analytics and Machine Learning for Business. Understand the underlying algorithms and their business applications. Work on capstone projects that integrate these advanced concepts, demonstrating problem-solving capabilities with large datasets.
Tools & Resources
Python (alongside R if desired), Cloud platforms (AWS, Azure, GCP free tiers), Advanced ML libraries (scikit-learn), Open-source big data tools
Career Connection
These advanced skills are highly sought after for roles in data science, advanced analytics, and AI/ML, leading to higher-paying and more strategic positions.
Develop a Professional Portfolio and Resume- (Semester 5-6)
Compile all major projects, assignments, and internship experiences into a well-structured portfolio (e.g., GitHub, personal website). Create a tailored resume highlighting analytical skills, tool proficiency, and business impact. Practice mock interviews and aptitude tests.
Tools & Resources
GitHub, Personal website builders (WordPress, Google Sites), LinkedIn for showcasing projects, Online platforms for mock interviews (e.g., Pramp, InterviewBit)
Career Connection
A strong portfolio and polished resume are critical for showcasing your capabilities to potential employers, making you stand out in the competitive job market.
Engage in Continuous Learning and Industry Trends- (Semester 6 and beyond)
Stay updated with the latest trends in business analytics, data science, and AI by following industry blogs, researchers, and thought leaders. Consider pursuing advanced certifications post-graduation to further specialize and validate your skills.
Tools & Resources
Blogs (Towards Data Science, Analytics Vidhya), Industry reports, Online courses (Coursera, edX, Udemy for specialized topics), Professional forums
Career Connection
The analytics field evolves rapidly. Continuous learning ensures long-term career relevance, adaptability, and access to advanced opportunities in India''''s dynamic tech ecosystem.
Program Structure and Curriculum
Eligibility:
- Pass in 10+2/PUC or Equivalent examination recognized by Bangalore University.
Duration: 6 semesters (3 years)
Credits: Approximately 122 credits (variable based on elective choices) Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C1 21A K01/H01/S01... | Indian Language (Kannada/Hindi/Sanskrit/Urdu etc.) | Ability Enhancement Course (AEC) | 2 | Language Comprehension, Grammar and Vocabulary, Short Stories/Essays, Basic Communication Skills, Cultural Context |
| C1 21A EN01 | English Language | Ability Enhancement Course (AEC) | 2 | English Grammar and Usage, Reading Comprehension, Writing Skills, Communication Strategies, Introduction to Literary Texts |
| C1 21A C01 | Financial Accounting | Core (Major Discipline Course - MDC) | 4 | Introduction to Accounting, Accounting Concepts and Conventions, Journal, Ledger, Trial Balance, Final Accounts of Sole Proprietorship, Depreciation Accounting |
| C1 21A C02 | Principles of Marketing | Core (Major Discipline Course - MDC) | 4 | Introduction to Marketing, Marketing Environment, Consumer Behavior, Marketing Mix, Product Life Cycle Strategies |
| C1 21A S01 | Digital Fluency | Skill Enhancement Course (SEC) | 2 | Basics of Computers, Operating Systems, Internet and Web Browsing, Cyber Security Fundamentals, Productivity Tools |
| C1 21A O01 | Open Elective - 1 (e.g., Basic Computer Skills) | Open Elective Course (OEC) | 3 | General Knowledge, Current Affairs, Logical Reasoning, Basic Communication, Societal Awareness |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C2 21A K01/H01/S01... | Indian Language (Kannada/Hindi/Sanskrit/Urdu etc.) | Ability Enhancement Course (AEC) | 2 | Advanced Language Skills, Literary Appreciation, Official Correspondence, Translation Exercises, Regional Literature |
| C2 21A EN01 | English Language | Ability Enhancement Course (AEC) | 2 | Business Communication, Report Writing, Presentation Skills, Professional Email Etiquette, Public Speaking |
| C2 21A C01 | Corporate Accounting | Core (Major Discipline Course - MDC) | 4 | Accounting for Share Capital, Debentures, Final Accounts of Companies, Amalgamation of Companies, Liquidation of Companies |
| C2 21A C02 | Financial Management | Core (Major Discipline Course - MDC) | 4 | Introduction to Financial Management, Capital Budgeting, Working Capital Management, Cost of Capital, Dividend Decisions |
| C2 21A S01 | Computer Fundamentals and MS Office | Skill Enhancement Course (SEC) | 2 | MS Word, MS Excel, MS PowerPoint, Database Concepts, Internet Applications |
| C2 21A O01 | Open Elective - 2 (e.g., Personality Development) | Open Elective Course (OEC) | 3 | Self-Awareness, Interpersonal Skills, Leadership Qualities, Time Management, Goal Setting |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C3 21A C01 | Cost Accounting | Core (Major Discipline Course - MDC) | 4 | Introduction to Cost Accounting, Elements of Cost, Methods of Costing, Budgetary Control, Standard Costing |
| C3 21A C02 | Entrepreneurship Development | Core (Major Discipline Course - MDC) | 4 | Concept of Entrepreneurship, Role of Entrepreneurs in India, Business Plan Preparation, Sources of Finance, Legal Framework for Startups |
| C3 21A BA01 | Business Statistics | Major Specialization (Business Analytics) | 4 | Introduction to Statistics, Measures of Central Tendency, Measures of Dispersion, Correlation and Regression, Probability Distributions |
| C3 21A BA02 | Database Management System with SQL | Major Specialization (Business Analytics) | 4 | Introduction to DBMS, Relational Model Concepts, SQL Commands (DDL, DML, DCL), Data Normalization, Database Security and Integrity |
| C3 21A S01 | Tally | Skill Enhancement Course (SEC) | 2 | Tally ERP 9 Fundamentals, Company Creation and Configuration, Accounting Vouchers, Inventory Management, GST in Tally |
| C3 21A O01 | Open Elective - 3 (e.g., Environmental Studies) | Open Elective Course (OEC) | 3 | Ecosystems, Biodiversity, Environmental Pollution, Sustainable Development, Environmental Ethics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C4 21A C01 | Income Tax | Core (Major Discipline Course - MDC) | 4 | Basic Concepts of Income Tax, Heads of Income, Deductions from Gross Total Income, Computation of Tax Liability, Assessment of Individuals |
| C4 21A C02 | Auditing | Core (Major Discipline Course - MDC) | 4 | Introduction to Auditing, Audit Planning and Control, Internal Control System, Vouching and Verification, Audit Report |
| C4 21A BA01 | Introduction to Business Analytics | Major Specialization (Business Analytics) | 4 | Fundamentals of Business Analytics, Data Mining Concepts, Descriptive Analytics, Predictive Analytics Overview, Prescriptive Analytics Overview |
| C4 21A BA02 | R Programming for Business Analytics (Theory & Practical) | Major Specialization (Business Analytics) | 4 | Introduction to R and RStudio, R Data Structures, Data Import and Export, Data Manipulation with dplyr, Statistical Graphics with ggplot2 |
| C4 21A S01 | Advanced Excel | Skill Enhancement Course (SEC) | 2 | Advanced Formulas and Functions, Data Validation and Conditional Formatting, Pivot Tables and Charts, Macros and VBA Basics, Data Analysis Tools (Goal Seek, Solver) |
| C4 21A O01 | Open Elective - 4 (e.g., Financial Literacy) | Open Elective Course (OEC) | 3 | Personal Finance, Savings and Investments, Banking Services, Insurance Basics, Digital Payments |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C5 21A C01 | Goods and Services Tax (GST) | Core (Major Discipline Course - MDC) | 4 | Introduction to GST, Supply and Taxable Event, Input Tax Credit Mechanism, Registration and Returns, E-way Bill and Compliance |
| C5 21A C02 | E-Commerce | Core (Major Discipline Course - MDC) | 4 | E-Commerce Fundamentals, Business Models in E-Commerce, E-Payment Systems, E-Marketing Strategies, Cyber Laws and Security in E-Commerce |
| C5 21A BA01 | Predictive Analytics | Major Specialization (Business Analytics) | 4 | Regression Analysis (Linear, Logistic), Time Series Forecasting, Classification Techniques (KNN, Naive Bayes), Decision Trees and Random Forests, Model Evaluation Metrics |
| C5 21A BA02 | Data Visualization Tools (Theory & Practical) | Major Specialization (Business Analytics) | 4 | Principles of Data Visualization, Introduction to Tableau/Power BI, Creating Various Chart Types, Designing Interactive Dashboards, Storytelling with Data |
| C5 21A V01 | Vocational Course - 1 (e.g., Office Automation) | Vocational Course (VC) | 3 | Advanced Spreadsheets, Document Management Systems, Presentation Software Techniques, Collaboration Tools, Automation Workflows |
| C5 21A P01 | Internship / Project Work | Internship/Project | 4 | Industry Exposure, Practical Application of Skills, Data Collection and Analysis, Report Writing, Presentation of Findings |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C6 21A C01 | International Business | Core (Major Discipline Course - MDC) | 4 | Globalization and its Impact, Theories of International Trade, Foreign Exchange Market, International Financial Institutions, Export-Import Procedures |
| C6 21A C02 | Financial Services | Core (Major Discipline Course - MDC) | 4 | Overview of Financial Services, Merchant Banking, Mutual Funds, Insurance Sector, Venture Capital and Leasing |
| C6 21A BA01 | Big Data Analytics | Major Specialization (Business Analytics) | 4 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Apache Spark Basics, NoSQL Databases, Big Data Technologies and Applications |
| C6 21A BA02 | Machine Learning for Business (Theory & Practical) | Major Specialization (Business Analytics) | 4 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Deployment Strategies, Ethical Considerations in AI/ML |
| C6 21A V01 | Vocational Course - 2 (e.g., Digital Marketing) | Vocational Course (VC) | 3 | Search Engine Optimization (SEO), Social Media Marketing, Content Marketing, Email Marketing Campaigns, Web Analytics |
| C6 21A P01 | Project Work / Dissertation | Project/Dissertation | 4 | Research Methodology, Problem Identification, Data Collection and Analysis, Report Writing and Documentation, Presentation and Defense |
