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B-COM-ANALYTICS in General at St. Joseph's College of Commerce (Autonomous)
Bengaluru, Karnataka
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About the Specialization
What is General at St. Joseph's College of Commerce (Autonomous) Bengaluru?
This B.Com Regular with Analytics program at St. Joseph''''s College of Commerce, Bengaluru, focuses on equipping students with a blend of commerce fundamentals and cutting-edge analytical skills. In the Indian industry, data-driven decision-making is paramount, and this program uniquely integrates core business principles with practical applications of data science, statistics, and business intelligence tools, addressing a growing demand for hybrid skill sets in the market.
Who Should Apply?
This program is ideal for fresh PUC/10+2 graduates with a strong interest in both business management and quantitative analysis. It caters to aspiring professionals seeking entry into the rapidly expanding field of business analytics, financial analysis, and data-driven consulting roles. While no specific programming background is mandated, a foundational aptitude for numbers and logical reasoning will be beneficial for students looking to thrive in this interdisciplinary curriculum.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including Business Analyst, Data Analyst, Financial Analyst, Marketing Analyst, and Supply Chain Analyst in various sectors. Entry-level salaries in India typically range from INR 3.5 Lakhs to 6 Lakhs per annum, with significant growth trajectories for experienced professionals reaching 10-15 Lakhs and beyond. The curriculum prepares students for industry-recognized certifications in data analytics tools and methodologies, enhancing their professional value.
Student Success Practices
Foundation Stage
Build a Strong Quantitative Foundation- (Semester 1-2)
Focus on mastering core quantitative techniques from subjects like Quantitative Techniques for Business and initial analytics modules. Utilize online platforms for extra practice to solidify understanding of statistical and mathematical concepts crucial for data analysis.
Tools & Resources
Khan Academy, NPTEL courses on basic statistics, Microsoft Excel, Textbook problem sets
Career Connection
Essential for understanding data analysis, financial modeling, and building a logical problem-solving mindset crucial for any analytics role, providing a solid base for advanced topics.
Develop Effective Study Habits & Peer Learning- (Semester 1-2)
Form study groups to discuss complex topics in Financial Accounting and Business Analytics. Actively participate in class, seek clarifications from faculty, and practice regularly with peers to enhance comprehension and retention of knowledge.
Tools & Resources
College library resources, Online academic forums, Collaborative study tools (e.g., Google Docs), Faculty interaction
Career Connection
Fosters teamwork, communication skills, and critical thinking, all highly valued in professional environments, and helps in clarifying doubts through diverse perspectives.
Engage in Early Skill Building with Basic Tools- (Semester 1-2)
Start familiarizing yourself with spreadsheet software like Excel early on, applying concepts learned in Business Analytics I. Explore basic data visualization techniques to interpret and present data effectively.
Tools & Resources
Microsoft Excel tutorials, Free online data visualization tools (e.g., Google Data Studio basic), YouTube tutorials on basic data analysis
Career Connection
Provides a head start in practical analytics tools, making subsequent advanced courses easier and demonstrating proactive learning to potential employers, enhancing employability.
Intermediate Stage
Gain Hands-on Experience with Programming for Analytics- (Semester 3-5)
Dedicate time to master programming languages like Python (from SEC 4.6) and data visualization tools like Power BI/Tableau (from SEC 5.6). Work on small projects or case studies using real-world datasets.
Tools & Resources
Kaggle datasets, GitHub, DataCamp, Coursera courses, College lab facilities
Career Connection
These are industry-standard tools for data analysts and business intelligence professionals, directly leading to better internship and job opportunities in the Indian market.
Seek Industry Exposure through Internships and Workshops- (Semester 4-5)
Actively search for part-time internships, summer training programs, or virtual internships in analytics or finance departments of Indian companies. Attend workshops by industry experts to understand current trends and demands.
Tools & Resources
LinkedIn, Internshala, College placement cell, Industry associations (e.g., NASSCOM events)
Career Connection
Provides real-world application of theoretical knowledge, builds professional networks, and enhances your resume for final placements, making you industry-ready.
Participate in Analytics Competitions and Projects- (Semester 3-5)
Join data hackathons or analytics challenges to apply learned skills under competitive environments. Proactively take up academic projects that involve data collection, analysis, and reporting for actual business problems, ideally with faculty guidance.
Tools & Resources
Analytics Vidhya, HackerRank, College project opportunities, Faculty guidance and mentorship
Career Connection
Develops problem-solving abilities under pressure, showcases practical skills, and creates a portfolio of work, which is highly attractive to recruiters in the Indian analytics landscape.
Advanced Stage
Focus on Industry-Specific Specialization & Portfolio Building- (Semester 6)
Leverage electives (e.g., Marketing Analytics, Financial Analytics) to deep-dive into an area of interest. Develop a robust portfolio of projects demonstrating advanced analytical capabilities relevant to your chosen domain.
Tools & Resources
Personal website/blog, GitHub repository, Kaggle profile, Industry-specific case studies
Career Connection
Positions you as a specialist, making you a more targeted and appealing candidate for specific roles in your chosen industry, increasing hiring probability in niche areas.
Intensive Placement Preparation & Networking- (Semester 6)
Participate in mock interviews, aptitude test preparations, and resume building workshops offered by the college. Network with alumni and industry professionals through career fairs and online platforms to explore opportunities.
Tools & Resources
College placement cell, Online aptitude test platforms (e.g., Indiabix), LinkedIn, Alumni mentorship programs
Career Connection
Ensures readiness for the recruitment process, improving chances of securing desirable placements and kickstarting a successful career in top Indian and MNC firms.
Pursue Advanced Certifications & Continuous Learning- (Semester 6 and beyond)
Identify and pursue certifications in advanced analytics, machine learning, or cloud platforms (e.g., Google Professional Data Engineer, AWS Certified Data Analytics) to complement your degree and stay updated with evolving industry demands.
Tools & Resources
edX, Coursera, Official certification exam guides, Industry whitepapers and research
Career Connection
Demonstrates commitment to continuous learning and advanced skill acquisition, setting you apart in a competitive job market and opening doors to higher-level roles and leadership opportunities.
Program Structure and Curriculum
Eligibility:
- PUC / 10 + 2 with 45% (40% for SC/ST) aggregate.
Duration: 3 Years (6 Semesters)
Credits: 132 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| LANG 1 | Language I (Kannada / Hindi / Sanskrit / French / Additional English) | Core | 3 | Language Skills, Grammar and Vocabulary, Cultural Context, Communication Applications |
| LANG 2 | Language II (English) | Core | 3 | Communication Skills, Grammar and Composition, Business Correspondence, Presentation Skills, Literary Appreciation |
| BCM 1.1 | Financial Accounting | Core | 4 | Introduction to Accounting, Accounting Process, Final Accounts of Sole Proprietorship, Company Accounts (Shares), Computerized Accounting |
| BCM 1.2 | Business Analytics I | Core | 4 | Introduction to Business Analytics, Data Collection & Types, Descriptive Statistics, Data Visualization, Business Reporting |
| BCM 1.3 | Business Organisation and Management | Core | 4 | Introduction to Business, Forms of Organization, Management Concepts, Planning & Organizing, Directing & Controlling, Recent Trends |
| BCM 1.4 | Indian Financial System | Core | 4 | Financial System Overview, Financial Markets, Financial Institutions, Money Market, Capital Market |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| LANG 3 | Language I (Kannada / Hindi / Sanskrit / French / Additional English) | Core | 3 | Advanced Language Skills, Reading Comprehension, Creative Writing, Translation |
| LANG 4 | Language II (English) | Core | 3 | Advanced Communication, Critical Thinking, Business Reports, Group Discussions, Personality Development |
| BCM 2.1 | Corporate Accounting | Core | 4 | Company Accounts (Debentures), Company Final Accounts, Cash Flow Statements, Valuation of Goodwill & Shares, Accounting Standards |
| BCM 2.2 | Business Analytics II | Core | 4 | Probability & Distributions, Inferential Statistics, Hypothesis Testing, Regression Analysis, Forecasting Techniques |
| BCM 2.3 | Marketing Management | Core | 4 | Introduction to Marketing, Marketing Mix, Product & Pricing, Promotion & Distribution, Services & Digital Marketing, Recent Trends |
| BCM 2.4 | Quantitative Techniques for Business | Core | 4 | Linear Programming, Transportation & Assignment, Network Analysis, Decision Theory, Game Theory |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCM 3.1 | Cost Accounting | Core | 4 | Cost Concepts, Cost Sheet, Material Costing, Labour Costing, Overhead Costing, Activity Based Costing |
| BCM 3.2 | Principles of Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting, Working Capital Management, Cost of Capital, Dividend Policy |
| BCM 3.3 | Business Analytics III | Core | 4 | Introduction to Big Data, Hadoop Ecosystem, NoSQL Databases, Data Warehousing, Machine Learning Basics, Text Analytics |
| BCM 3.4 | Income Tax I | Core | 4 | Basic Concepts, Residential Status, Income from Salary, Income from House Property, Profits and Gains of Business, Deductions |
| BCM 3.5 | Entrepreneurial Management | Core | 3 | Entrepreneurship Concepts, Business Opportunity, Business Plan, Startup Ecosystem, Funding, Legal Aspects |
| SEC 3.6 | Excel Basics for Business | Skill Enhancement Elective | 3 | Excel Interface, Basic Functions, Data Formatting, Charts and Graphs, Pivot Tables, Data Validation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCM 4.1 | Advanced Corporate Accounting | Core | 4 | Amalgamation, Absorption & Reconstruction, Banking Companies Accounts, Insurance Companies Accounts, Valuation of Goodwill & Shares |
| BCM 4.2 | Research Methodology | Core | 4 | Introduction to Research, Research Design, Data Collection, Sampling, Data Analysis, Report Writing |
| BCM 4.3 | Business Analytics IV | Core | 4 | Cloud Computing & Analytics, AWS/Azure Services, Data Warehousing, ETL Process, Data Governance, Security in Cloud |
| BCM 4.4 | Income Tax II | Core | 4 | Capital Gains, Income from Other Sources, Clubbing of Income, Set off & Carry forward, Assessment of Individuals & Firms |
| BCM 4.5 | E-Commerce | Core | 3 | Introduction to E-Commerce, E-Business Models, E-Payment Systems, E-Security, Digital Marketing, E-Commerce Strategy |
| SEC 4.6 | Python for Business Analytics | Skill Enhancement Elective | 3 | Python Basics, Data Structures, Pandas & NumPy, Data Cleaning, Data Visualization, Introduction to Machine Learning |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCM 5.1 | Management Accounting | Core | 4 | Introduction to Management Accounting, Budgetary Control, Standard Costing, Variance Analysis, Marginal Costing, Relevant Costing |
| BCM 5.2 | Stock Market Operations | Core | 4 | Capital Market, Primary Market, Secondary Market, Stock Exchanges, Trading & Settlement, SEBI Regulations |
| BCM 5.3 | Business Analytics V | Core | 4 | Data Ethics, Data Privacy Regulations (GDPR, IT Act), AI Ethics, Responsible AI, Data Security & Governance, Ethical Hacking Concepts |
| BCM 5.4 | Goods and Services Tax (GST) | Core | 4 | Introduction to GST, Levy & Collection, Input Tax Credit, Time & Value of Supply, Returns & Refunds, GST Accounting |
| OE 5.5 | Introduction to Financial Markets | Open Elective | 3 | Financial Instruments, Capital Market, Money Market, Derivatives, Foreign Exchange Market, Mutual Funds |
| SEC 5.6 | Power BI for Business Analytics | Skill Enhancement Elective | 3 | Power BI Desktop, Data Import & Transformation, Data Modeling (DAX), Report Design, Interactive Dashboards, Power BI Service |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCM 6.1 | Auditing | Core | 4 | Introduction to Auditing, Audit Planning, Internal Control, Vouching & Verification, Company Audit, Audit Report |
| BCM 6.2 | International Business | Core | 4 | Introduction to International Business, Theories of Trade, Foreign Direct Investment, International Organizations, Global Marketing, Ethics in IB |
| BCM 6.3 | Business Analytics VI | Core | 4 | Machine Learning Applications, Deep Learning Basics, Neural Networks, Computer Vision, Natural Language Processing, AI in Business |
| BCM 6.4 | Strategic Management | Core | 4 | Strategic Planning, Environmental Analysis, Strategic Formulation, Strategic Implementation, Strategic Control, Corporate Governance |
| OE 6.5 | Marketing Analytics | Open Elective | 3 | Marketing Data Sources, Customer Segmentation, Campaign Analysis, Predictive Marketing, ROI Measurement, Web Analytics |
| SEC 6.6 | Project Management in Analytics | Skill Enhancement Elective | 3 | Project Life Cycle, Agile & Scrum, Project Planning, Risk Management, Resource Allocation, Analytics Project Case Studies |
