.png&w=1920&q=75)
BCOM in Analytics at Jindal College For Women
Bengaluru, Karnataka
.png&w=1920&q=75)
About the Specialization
What is Analytics at Jindal College For Women Bengaluru?
This B.Com Analytics program at Jindal College For Women focuses on equipping students with a blend of commerce fundamentals and cutting-edge data analysis skills. With India''''s rapidly expanding digital economy and data-driven decision-making becoming paramount, this specialization prepares graduates for analytical roles in finance, marketing, and retail. It integrates traditional business knowledge with modern analytical tools and techniques, catering to the evolving demands of various Indian industries.
Who Should Apply?
This program is ideal for fresh graduates from the commerce stream eager to enter the data-driven business world, seeking roles as Business Analysts, Data Analysts, or Financial Analysts. It also suits individuals with a keen interest in problem-solving using data and those aspiring to pursue higher education in fields like Data Science or Business Intelligence. Prior exposure to basic mathematics and statistics is beneficial.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India''''s booming analytics sector, including positions in IT, e-commerce, banking, and consulting firms. Entry-level salaries typically range from INR 3-6 LPA, with significant growth potential as experience deepens. The program fosters critical thinking and analytical prowess, aligning students with industry-recognized skills and providing a strong foundation for professional certifications in data analytics platforms.
Student Success Practices
Foundation Stage
Build a Strong Analytical & Commerce Core- (Semester 1-2)
Focus on excelling in core subjects like Financial Accounting, Principles of Management, and Fundamentals of Statistics. Actively participate in classroom discussions and seek clarity on concepts. Utilize textbooks and supplementary online resources to solidify understanding.
Tools & Resources
Textbooks, Class Notes, Khan Academy, NPTEL for foundational subjects
Career Connection
A strong foundation ensures that advanced analytics concepts are built upon robust business understanding, which is highly valued in finance and business analyst roles in India.
Master Basic Data Tools & Software- (Semester 1-2)
Beyond coursework, spend extra time practicing with office automation tools like MS Excel and getting comfortable with introductory data analysis tools. Explore basic functionalities of Python or R for data manipulation, even if not explicitly taught in early semesters.
Tools & Resources
Microsoft Excel, Google Sheets, free online Python/R tutorials (e.g., DataCamp free courses, Coursera), Jupyter Notebooks
Career Connection
Proficiency in these fundamental tools is a prerequisite for most entry-level data analyst positions and internships, making you job-ready faster.
Develop Professional Communication Skills- (Semester 1-2)
Engage in public speaking, group discussions, and practice writing professional emails and reports. Join college clubs focused on communication or debate. Good communication is crucial for presenting analytical insights effectively.
Tools & Resources
Toastmasters International (if local chapter available), college debate/communication clubs, online resources for business communication
Career Connection
Effective communication is paramount for securing internships and placements, as well as for career progression in client-facing or team leadership roles in Indian corporates.
Intermediate Stage
Apply Analytical Concepts to Business Cases- (Semesters 3-4)
Actively seek out and participate in business case competitions, workshops, and mini-projects where you can apply concepts from Business Analytics, Spreadsheet Modeling, and Machine Learning. Try to solve real-world problems using learned techniques.
Tools & Resources
Kaggle, Case Study Challenges from consulting firms, college hackathons, industry workshops
Career Connection
Practical application of knowledge builds a strong portfolio and demonstrates problem-solving abilities, which are critical for internships and junior analyst roles.
Gain Exposure to Data Visualization & BI Tools- (Semesters 3-4)
Go beyond theoretical knowledge of Data Visualization. Learn and practice with industry-standard BI tools like Tableau or Power BI. Create interactive dashboards and visualize complex datasets to tell a compelling story.
Tools & Resources
Tableau Public (free version), Power BI Desktop (free), Udemy courses, YouTube tutorials for specific tools
Career Connection
Strong data visualization skills are highly sought after by Indian companies for roles in BI, marketing analytics, and reporting, allowing you to communicate insights effectively.
Network and Seek Mentorship- (Semesters 3-4)
Attend industry seminars, guest lectures, and alumni meets organized by the college. Connect with professionals on LinkedIn, especially those in analytics roles within India. Seek guidance on career paths and skill development.
Tools & Resources
LinkedIn, College Alumni Network, Industry Conferences, Webinars
Career Connection
Networking opens doors to internship opportunities, mentorship, and valuable insights into industry trends, significantly aiding placement prospects in the Indian job market.
Advanced Stage
Deep Dive into Specialization Electives and Projects- (Semesters 5-6)
Choose your DSEs strategically, focusing on a niche like Financial Analytics or Web & Social Media Analytics. Dedicate significant effort to your Internship and Project Work, aiming for a real-world problem statement and a robust analytical solution. Publish your project on platforms like GitHub.
Tools & Resources
GitHub, Industry-specific analytics tools (e.g., Google Analytics, advanced Excel/Python libraries for finance/marketing), academic journals
Career Connection
Specialized knowledge and a well-executed project differentiate you in a competitive job market, leading to targeted roles in specific analytics domains with higher growth potential in India.
Prepare for Placements and Certifications- (Semesters 5-6)
Start rigorous preparation for aptitude tests, technical interviews (focusing on SQL, Python/R, statistics, and business case solving), and HR rounds. Consider pursuing relevant professional certifications in data analytics (e.g., Google Data Analytics Professional Certificate) to boost your resume.
Tools & Resources
Placement cells, mock interview platforms, LeetCode, HackerRank, Coursera/edX for certifications
Career Connection
Proactive and structured placement preparation, combined with certifications, significantly increases your chances of securing desirable job offers from top Indian companies and MNCs.
Cultivate Critical Thinking & Problem Solving- (Semesters 5-6)
Engage in critical analysis of business news, economic trends, and industry reports. Practice identifying problems, formulating hypotheses, and using data to derive actionable insights. Develop a habit of continuous learning in the evolving analytics field.
Tools & Resources
Business newspapers/magazines (e.g., Economic Times, Mint), industry reports, online forums, analytics blogs
Career Connection
Beyond technical skills, the ability to think critically and solve complex business problems is a highly valued trait by employers, crucial for leadership and strategic roles in Indian organizations.
Program Structure and Curriculum
Eligibility:
- A Candidate who has passed the two years Pre-University Examination conducted by the Karnataka Pre-University Board or any other examination recognized as equivalent thereto is eligible for admission to this course.
Duration: 3 years / 6 semesters
Credits: 118 Credits
Assessment: Internal: 40%, External: 60% (for theory papers)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| AECC 1 | Indian Constitution and Human Rights I | Ability Enhancement Compulsory Course | 2 | Framing of Indian Constitution, Fundamental Rights, Directive Principles of State Policy, Parliament and State Legislature, Indian Judicial System |
| DSC 1 | Financial Accounting | Discipline Specific Core | 4 | Accounting Concepts, Accounting Standards, Journal & Ledger, Subsidiary Books, Trial Balance, Final Accounts (Sole Proprietorship) |
| DSC 2 | Principles of Management | Discipline Specific Core | 4 | Nature & Significance of Management, Planning, Organizing, Staffing, Directing, Controlling |
| DSC 3 | Fundamentals of Statistics for Business | Discipline Specific Core | 4 | Introduction to Statistics, Data Collection & Presentation, Measures of Central Tendency, Measures of Dispersion, Correlation Analysis, Regression Analysis |
| OE 1 | Office Automation Tools & Techniques | Open Elective | 3 | Introduction to Computers, MS Word, MS Excel, MS PowerPoint, MS Access |
| VAC 1 | Health & Wellness | Value Added Course | 2 | Dimensions of Health, Nutrition & Diet, Yoga & Physical Fitness, Stress Management, Communicable & Non-communicable Diseases |
| SEC 1 | Professional Communication & Skills Enhancement | Skill Enhancement Course | 2 | Principles of Communication, Oral Communication, Written Communication, Presentation Skills, Group Discussion & Interview Skills |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| AECC 2 | Environmental Studies | Ability Enhancement Compulsory Course | 2 | Natural Resources, Ecosystems, Biodiversity, Environmental Pollution, Social Issues and the Environment |
| DSC 4 | Corporate Accounting | Discipline Specific Core | 4 | Share Capital Transactions, Debentures, Redemption of Debentures, Amalgamation, Internal Reconstruction |
| DSC 5 | Organisational Behaviour | Discipline Specific Core | 4 | Introduction to OB, Perception, Learning, Personality, Motivation, Group Dynamics, Leadership |
| DSC 6 | Fundamentals of Mathematics for Business | Discipline Specific Core | 4 | Ratios & Proportions, Equations, Matrices & Determinants, Commercial Arithmetic, Simple & Compound Interest, Permutations & Combinations |
| OE 2 | Introduction to Data Analysis Tools | Open Elective | 3 | Introduction to Data Analytics, Data Types, Data Cleaning, Data Transformation, Introduction to Python/R for Data Analysis, Basic Visualization |
| VAC 2 | Ethics & Values | Value Added Course | 2 | Concept of Ethics, Business Ethics, Personal & Professional Ethics, Ethical Decision Making, Values in Life |
| SEC 2 | Internship-I / Institutional Training | Skill Enhancement Course | 2 | Practical Exposure, Report Writing, Industry Practices, Skill Application, Professional Conduct |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 7 | Advanced Corporate Accounting | Discipline Specific Core | 4 | Underwriting of Shares, Valuation of Goodwill & Shares, Holding Company Accounts, Liquidation of Companies, Accounting for Banking Companies |
| DSC 8 | Financial Management | Discipline Specific Core | 4 | Introduction to Financial Management, Capital Budgeting, Cost of Capital, Capital Structure, Working Capital Management, Dividend Policy |
| DSC 9 | Business Analytics | Discipline Specific Core | 4 | Introduction to Business Analytics, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Data Mining Concepts, Business Intelligence |
| OE 3 | Spreadsheet Modeling for Business | Open Elective | 3 | Advanced Excel Functions, Data Analysis Tools in Excel, What-If Analysis, Solver, Pivot Tables, Dashboards in Excel |
| VAC 3 | Digital Fluency | Value Added Course | 2 | Digital Literacy, Internet & Web Technologies, Cyber Security, Digital Ethics, E-governance, Digital Payment Systems |
| SEC 3 | Business Research Methods | Skill Enhancement Course | 2 | Introduction to Research, Research Design, Data Collection Methods, Sampling, Data Analysis, Report Writing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 10 | Cost Accounting | Discipline Specific Core | 4 | Introduction to Cost Accounting, Cost Concepts, Material Costing, Labour Costing, Overhead Costing, Activity Based Costing |
| DSC 11 | International Business | Discipline Specific Core | 4 | Introduction to International Business, Theories of International Trade, Foreign Direct Investment, International Financial Markets, WTO, Globalisation |
| DSC 12 | Machine Learning for Business | Discipline Specific Core | 4 | Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Introduction to ML Algorithms |
| OE 4 | Data Visualization for Business | Open Elective | 3 | Principles of Data Visualization, Chart Types, Dashboard Design, Storytelling with Data, Introduction to Tableau/Power BI, Visual Best Practices |
| VAC 4 | Artificial Intelligence | Value Added Course | 2 | Introduction to AI, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, AI Ethics |
| SEC 4 | Research Methodology | Skill Enhancement Course | 2 | Research Problem Formulation, Literature Review, Hypothesis Testing, Qualitative Research, Quantitative Research, Ethics in Research |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSE 1 | Investment Management | Discipline Specific Elective | 4 | Investment Avenues, Securities Markets, Risk and Return, Portfolio Management, Fundamental Analysis, Technical Analysis |
| DSE 1 (Alternative) | Goods & Services Tax | Discipline Specific Elective | 4 | Introduction to GST, Levy & Collection of GST, Time & Value of Supply, Input Tax Credit, GST Procedures, GST Returns |
| DSE 2 | Marketing Analytics | Discipline Specific Elective | 4 | Introduction to Marketing Analytics, Customer Segmentation, Predictive Modeling in Marketing, Marketing Mix Modeling, Digital Marketing Analytics, ROI Measurement |
| DSE 3 | Big Data Analytics | Discipline Specific Elective | 4 | Introduction to Big Data, Hadoop Ecosystem, MapReduce, HDFS, Spark, NoSQL Databases, Big Data Technologies |
| DSE 4 | Business Intelligence | Discipline Specific Elective | 4 | Introduction to BI, Data Warehousing, OLAP, Data Marts, BI Tools, Dashboards and Reporting, Data-driven Decision Making |
| PROJ 1 | Internship II (Project Work) | Project Work | 3 | Industry Project, Problem Identification, Data Collection, Analysis & Interpretation, Report Writing, Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSE 5 | Financial Analytics | Discipline Specific Elective | 4 | Financial Modeling, Risk Analytics, Portfolio Optimization, Algorithmic Trading, Predictive Analytics in Finance, Fintech Applications |
| DSE 6 | Web & Social Media Analytics | Discipline Specific Elective | 4 | Web Analytics Tools (Google Analytics), Social Media Monitoring, Campaign Tracking, Sentiment Analysis, Audience Engagement, Digital Marketing ROI |
| DSE 7 | Data Warehousing & Data Mining | Discipline Specific Elective | 4 | Data Warehouse Architecture, ETL Processes, Data Modeling, Data Mining Techniques, Association Rules, Classification, Clustering |
| DSE 8 | Retail Analytics | Discipline Specific Elective | 4 | Retail Data Sources, Customer Analytics, Merchandising Analytics, Supply Chain Analytics in Retail, Pricing Optimization, Store Performance Analytics |
| PROJ 2 | Project Work for B.Com Analytics | Project Work | 3 | Comprehensive Project, Research Design, Data Analysis, Solution Development, Technical Report, Oral Presentation |
