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BACHELOR-OF-COMMERCE in Data Analytics at Seshadripuram College
Bengaluru, Karnataka
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About the Specialization
What is Data Analytics at Seshadripuram College Bengaluru?
This Data Analytics program at Seshadripuram College focuses on equipping commerce graduates with essential data science skills. It integrates core business principles with modern analytical techniques, addressing the growing demand for data-savvy professionals in the Indian market. The program is designed to create well-rounded individuals capable of driving data-informed business decisions, a critical differentiator in today''''s competitive landscape by leveraging both business acumen and technical expertise.
Who Should Apply?
This program is ideal for fresh 10+2 graduates from Commerce, Science, or Arts streams seeking entry into the booming data analytics and business intelligence sectors in India. It also suits working professionals aiming to upskill in data tools and methodologies, or career changers transitioning into data-centric roles within finance, marketing, or operations. A strong aptitude for logical reasoning and basic mathematics is highly beneficial for success in this specialized field.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Business Analyst, Data Analyst, Financial Analyst, Marketing Analyst, or Consultant. Entry-level salaries typically range from INR 3-6 LPA, growing significantly with experience in firms across Bangalore and other Indian metros. Students can align with professional certifications like Microsoft Certified: Data Analyst Associate or Tableau Desktop Specialist to enhance their growth trajectories in Indian and multinational companies, boosting their market value.
Student Success Practices
Foundation Stage
Build Strong Analytical & Quantitative Foundations- (Semester 1-2)
Focus on excelling in core subjects like Statistics for Business Analytics and Business Economics. Dedicate extra time to practice problem-solving, understand statistical concepts, and their business applications. Utilize online platforms like Khan Academy or NPTEL for supplemental learning in mathematics and statistics, ensuring a robust analytical base.
Tools & Resources
Textbooks, Online tutorials (Khan Academy, NPTEL), Practice problems from previous years
Career Connection
A solid foundation is crucial for mastering advanced analytics concepts later, ensuring you can interpret data accurately and apply analytical rigor to business problems, a key skill for any data-driven role in India.
Develop Foundational Digital & Communication Skills- (Semester 1-2)
Actively engage in ''''Digital Fluency'''' and ''''English'''' courses. Practice creating professional presentations and reports using standard software. Participate in college clubs or events to hone public speaking and interpersonal communication. Explore basic functions of spreadsheet software and word processing, essential for initial corporate roles.
Tools & Resources
Microsoft Office Suite (Excel, Word, PowerPoint), Grammarly, College debate/presentation clubs
Career Connection
Effective communication and digital literacy are non-negotiable for data professionals, allowing you to present insights clearly and collaborate efficiently in a professional Indian corporate environment, bridging the technical and business gap.
Network with Peers and Faculty- (Semester 1-2)
Join study groups to discuss concepts and solve problems collaboratively, fostering peer learning. Attend departmental orientation programs and interact with senior students and faculty members. Seek guidance from faculty on career paths and potential internship opportunities, leveraging internal college networks.
Tools & Resources
College clubs and societies, Departmental events and seminars, Peer study groups
Career Connection
Building a strong network early can lead to valuable mentorship, shared learning, and awareness of opportunities that are crucial for academic and career advancement within the Indian education and industry landscape.
Intermediate Stage
Master Programming for Business Analytics- (Semester 3-4)
Dive deep into ''''Programming for Business Analytics (R/Python)'''' and ''''Database Management System''''. Complete online courses on platforms like Coursera, Udemy, or DataCamp specifically on Python/R for data analysis and SQL. Work on mini-projects to apply concepts practically, building a portfolio of basic analytical solutions.
Tools & Resources
Jupyter Notebook, Google Colab, SQL Fiddle, Online courses (Coursera, Udemy, DataCamp)
Career Connection
Proficiency in Python/R and SQL is fundamental for any data analytics role, enabling you to extract, manipulate, and analyze large datasets, making you job-ready for entry-level analyst positions in Indian tech and business firms.
Engage in Industry-Relevant Skill Enhancement- (Semester 3-5)
Beyond classroom learning, seek workshops or certifications in ''''Advanced Excel for Business'''' and explore visualization tools like Tableau or Power BI. Participate in hackathons, case study competitions, or data challenges available through college or external platforms to gain practical experience and showcase your analytical skills.
Tools & Resources
Microsoft Excel, Tableau Public, Power BI Desktop, Kaggle, Analytics Vidhya competitions
Career Connection
Hands-on experience with industry-standard tools and platforms makes your resume stand out and demonstrates your ability to apply theoretical knowledge to real-world business scenarios, significantly increasing employability in the Indian job market.
Pursue Electives Strategically and Build Domain Knowledge- (Semester 3-5)
Choose ''''Open Electives'''' that complement your Data Analytics specialization or fill knowledge gaps. For example, if your interest lies in finance, opt for finance-related electives. Read business newspapers like Economic Times and industry reports to understand domain-specific data challenges and trends in India.
Tools & Resources
Financial Times, Economic Times, Industry-specific journals, NASSCOM reports
Career Connection
Combining analytical skills with strong domain knowledge makes you a more valuable asset to companies, as you can understand the business context behind the data, leading to more impactful insights and better career opportunities.
Advanced Stage
Undertake a Comprehensive Internship and Major Project- (Semester 5-6)
Secure an internship (as part of SEI 5.1) in a data analytics role to gain real-world experience, ideally in a company relevant to your career interests. For your ''''Major Project'''', identify a significant business problem, gather real-world data, apply learned analytical techniques (e.g., predictive modeling), and present actionable insights. Aim for a project that addresses a specific industry need in the Indian context.
Tools & Resources
Industry connections, Faculty guidance, Project management tools, Data analysis software (Python, R, SQL)
Career Connection
Internships and a strong project portfolio are critical for placements, providing tangible proof of your skills and ability to contribute immediately to a company, especially in the competitive Indian job market.
Focus on Advanced Analytics and Big Data Concepts- (Semester 5-6)
Master ''''Big Data Analytics'''' and ''''Predictive Analytics'''' subjects. Explore concepts like machine learning basics and cloud platforms (AWS, Azure, GCP) through online courses. Understand the practical implications of these technologies for large Indian enterprises and their data infrastructure.
Tools & Resources
Hadoop, Spark, Cloud platforms (AWS/Azure/GCP free tiers), Machine learning libraries (Scikit-learn)
Career Connection
Proficiency in advanced analytics and big data technologies prepares you for roles requiring handling vast datasets and building sophisticated models, enhancing your competitiveness for higher-paying positions in growing tech and analytics firms across India.
Refine Interview Skills and Build a Professional Brand- (Semester 6)
Prepare thoroughly for technical and HR interviews, focusing on data analytics concepts, problem-solving, and communication. Create a professional LinkedIn profile, showcasing your projects, skills, and certifications. Attend campus recruitment drives and career fairs actively, practicing mock interviews with the college placement cell.
Tools & Resources
Mock interviews, Resume builders, LinkedIn, College placement cell resources, Glassdoor for company insights
Career Connection
A strong professional brand and well-honed interview skills are vital for converting opportunities into job offers, ensuring a smooth transition from academics to a successful career in data analytics, particularly in the highly competitive Indian job market.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination from a recognized Board/University.
Duration: 6 Semesters (3 years) for Regular B.Com
Credits: 114 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 1.1 | Financial Accounting I | Discipline Specific Core (DSC) | 4 | Introduction to Accounting, Accounting Principles and Standards, Journal, Ledger, Trial Balance, Final Accounts of Sole Proprietorship, Accounting for Non-Profit Organizations |
| DSC 1.2 | Fundamentals of Business Analytics | Discipline Specific Core (DSC) | 4 | Introduction to Business Analytics, Types of Analytics (Descriptive, Predictive, Prescriptive), Data Collection and Preparation, Data Visualization Basics, Applications of Business Analytics |
| DSC 1.3 | Business Economics I | Discipline Specific Core (DSC) | 4 | Nature and Scope of Business Economics, Demand Analysis and Forecasting, Supply Analysis, Production and Cost Analysis, Market Structures and Pricing Decisions |
| AECC 1.1 | English | Ability Enhancement Compulsory Course (AECC) | 2 | Language and Communication Skills, Grammar and Vocabulary Building, Reading Comprehension Strategies, Basic Writing Skills (Paragraph, Essay), Oral Communication and Presentation Skills |
| AECC 1.2 | Indian Language | Ability Enhancement Compulsory Course (AECC) | 2 | Basic Grammar and Script, Vocabulary and Idioms, Reading and Comprehension, Writing Short Passages, Spoken Communication |
| VAC 1.1 | Constitutional Studies | Value Added Course (VAC) | 2 | Introduction to Indian Constitution, Fundamental Rights and Duties, Directive Principles of State Policy, Structure of Indian Government, Constitutional Amendments and Reforms |
| SEC 1.1 | Digital Fluency | Skill Enhancement Course (SEC) | 2 | Fundamentals of Digital Devices, Internet and Web Technologies, Cyber Security and Privacy, Productivity Tools (MS Office Basics), Digital Communication and Collaboration |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 2.1 | Financial Accounting II | Discipline Specific Core (DSC) | 4 | Consignment Accounts, Joint Venture Accounts, Hire Purchase System, Installment System, Departmental and Branch Accounts |
| DSC 2.2 | Statistics for Business Analytics | Discipline Specific Core (DSC) | 4 | Descriptive Statistics (Measures of Central Tendency, Dispersion), Probability Theory and Distributions, Sampling Techniques and Estimation, Hypothesis Testing (Parametric and Non-Parametric), Correlation and Regression Analysis |
| DSC 2.3 | Business Economics II | Discipline Specific Core (DSC) | 4 | Theory of Distribution, National Income Accounting, Inflation and Deflation, Business Cycles, Monetary and Fiscal Policies |
| AECC 2.1 | English | Ability Enhancement Compulsory Course (AECC) | 2 | Advanced Communication Skills, Report Writing and Business Correspondence, Public Speaking and Presentation, Critical Thinking and Argumentation, Interview Skills and Group Discussions |
| AECC 2.2 | Indian Language | Ability Enhancement Compulsory Course (AECC) | 2 | Advanced Grammar and Usage, Literary Appreciation, Translation Skills, Intercultural Communication, Regional Literary Overview |
| VAC 2.1 | Health & Wellness | Value Added Course (VAC) | 2 | Holistic Health Concepts, Nutrition and Balanced Diet, Mental Health Awareness, Stress Management Techniques, Physical Fitness and Lifestyle |
| SEC 2.1 | Environmental Studies | Skill Enhancement Course (SEC) | 2 | Ecosystems and Biodiversity, Environmental Pollution and Control, Global Environmental Issues, Sustainable Development Goals, Environmental Ethics and Legislation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 3.1 | Corporate Accounting | Discipline Specific Core (DSC) | 4 | Issue and Forfeiture of Shares, Redemption of Preference Shares and Debentures, Underwriting of Shares, Valuation of Goodwill and Shares, Amalgamation and Reconstruction of Companies |
| DSC 3.2 | Database Management System | Discipline Specific Core (DSC) | 4 | Introduction to DBMS and Data Models, Relational Model and Relational Algebra, SQL Queries and Operations, Normalization and Data Integrity, Database Security and Administration |
| DSC 3.3 | Principles of Marketing | Discipline Specific Core (DSC) | 4 | Introduction to Marketing and its Environment, Consumer Behavior and Market Segmentation, Product Life Cycle and Branding, Pricing Strategies, Promotion and Distribution Channels |
| GE 3.1 | Open Elective (Generic Elective) | Generic Elective (GE) | 3 | Choice from a pool of diverse subjects, Interdisciplinary learning, Skill development across various domains, Exposure to non-commerce fields, Personal interest-driven learning |
| SEC 3.1 | Entrepreneurship Skill | Skill Enhancement Course (SEC) | 2 | Concept of Entrepreneurship and Innovation, Business Idea Generation and Opportunity Analysis, Business Plan Development, Sources of Finance for Startups, Legal and Regulatory Aspects of Business |
| VAC 3.1 | Yoga and Meditation | Value Added Course (VAC) | 2 | Introduction to Yoga and its Philosophy, Asanas (Postures) and Pranayama (Breathing Techniques), Meditation Practices for Mindfulness, Benefits of Yoga and Meditation for Well-being, Stress Reduction and Concentration Improvement |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 4.1 | Income Tax | Discipline Specific Core (DSC) | 4 | Basic Concepts of Income Tax, Residential Status and Tax Incidence, Income from Salary and House Property, Profits and Gains of Business or Profession, Capital Gains and Income from Other Sources |
| DSC 4.2 | Programming for Business Analytics (R/Python) | Discipline Specific Core (DSC) | 4 | Introduction to R/Python Programming, Data Structures and Operations, Data Manipulation and Cleaning (e.g., Pandas/dplyr), Data Visualization (e.g., Matplotlib/ggplot2), Basic Statistical Analysis using R/Python |
| DSC 4.3 | Business Research Methods | Discipline Specific Core (DSC) | 4 | Introduction to Business Research, Research Design and Types, Data Collection Methods (Primary and Secondary), Sampling Techniques, Data Analysis and Report Writing |
| GE 4.1 | Open Elective (Generic Elective) | Generic Elective (GE) | 3 | Student''''s choice for broader knowledge, Enhancement of general skills, Exploration of varied academic disciplines, Preparation for competitive exams, Personal growth and awareness |
| SEC 4.1 | Financial Literacy & Investment Awareness | Skill Enhancement Course (SEC) | 2 | Personal Financial Planning, Savings, Budgeting, and Debt Management, Banking and Digital Payment Systems, Introduction to Investment Products (Stocks, MFs), Insurance and Risk Management |
| VAC 4.1 | Digital Marketing | Value Added Course (VAC) | 2 | Introduction to Digital Marketing, Search Engine Optimization (SEO), Social Media Marketing, Content Marketing Strategy, Email Marketing and Analytics |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 5.1 | Management Accounting | Discipline Specific Core (DSC) | 4 | Introduction to Management Accounting, Cost Concepts and Classification, Budgetary Control, Standard Costing, Marginal Costing and Decision Making |
| DSC 5.2 | Data Warehousing and Data Mining | Discipline Specific Core (DSC) | 4 | Concepts of Data Warehousing, Data Modeling (Star and Snowflake Schema), ETL Process (Extraction, Transformation, Loading), Introduction to Data Mining Techniques, Classification, Clustering, and Association Rules |
| DSC 5.3 | Operations Research | Discipline Specific Core (DSC) | 4 | Introduction to Operations Research, Linear Programming Problem, Transportation Problem, Assignment Problem, Network Analysis (PERT/CPM) |
| SEC 5.1 | Advanced Excel for Business | Skill Enhancement Course (SEC) | 2 | Advanced Formulas and Functions (Logical, Lookup), Data Validation and Conditional Formatting, Pivot Tables and Pivot Charts, Data Analysis Tools (Goal Seek, Solver), Introduction to Macros and VBA |
| SEI 5.1 | Internship | Skill Enhancement Internship (SEI) | 2 | Practical Industry Exposure, Application of Academic Knowledge, Professional Skill Development, Networking and Corporate Etiquette, Project Implementation and Reporting |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 6.1 | Auditing and Corporate Governance | Discipline Specific Core (DSC) | 4 | Introduction to Auditing and its Types, Audit Planning and Internal Control, Vouching and Verification, Company Audit and Auditor''''s Report, Principles of Corporate Governance and CSR |
| DSC 6.2 | Big Data Analytics | Discipline Specific Core (DSC) | 4 | Introduction to Big Data Concepts, Hadoop Ecosystem (HDFS, MapReduce), Apache Spark Framework, NoSQL Databases (e.g., MongoDB, Cassandra), Stream Processing and Real-time Analytics |
| DSC 6.3 | Business Valuation and Mergers & Acquisitions | Discipline Specific Core (DSC) | 4 | Concepts of Business Valuation, Valuation Methods (DCF, Asset-based, Market-based), Introduction to Mergers and Acquisitions, Types of M&A and Deal Structuring, Post-Merger Integration and Challenges |
| DSE 6.1 | Predictive Analytics | Discipline Specific Elective (DSE) | 4 | Introduction to Predictive Modeling, Linear and Logistic Regression Models, Classification Algorithms (Decision Trees, SVM), Time Series Forecasting, Model Evaluation and Validation |
| SEC 6.1 | Business Ethics and CSR | Skill Enhancement Course (SEC) | 2 | Ethical Theories in Business, Ethical Decision Making in Organizations, Concept of Corporate Social Responsibility (CSR), Sustainability and Responsible Business Practices, Business Governance and Accountability |
| PROJ 6.1 | Major Project | Project | 2 | Problem Identification and Scope Definition, Literature Review and Research Design, Data Collection, Analysis, and Interpretation, Report Writing and Documentation, Project Presentation and Viva-Voce |
