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BBA in Business Analytics at Jain Institute of Business Management
Ramanagara, Karnataka
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About the Specialization
What is Business Analytics at Jain Institute of Business Management Ramanagara?
This Business Analytics program at JAIN (Deemed-to-be University), Ramanagara Campus focuses on equipping students with the skills to analyze complex business data, derive actionable insights, and make data-driven decisions. In the rapidly evolving Indian industry, where data is king, this specialization addresses the critical demand for professionals who can bridge the gap between technology and business strategy. It integrates core business principles with analytical tools and techniques, offering a comprehensive understanding of how data powers modern enterprises.
Who Should Apply?
This program is ideal for fresh graduates with a keen interest in numbers, problem-solving, and technology, seeking entry into high-growth data-centric roles. It also suits individuals with some prior business exposure looking to pivot their careers into analytics, leveraging their foundational knowledge with new analytical skills. Students from commerce, management, or science backgrounds, eager to understand and apply data in a business context, will find this program particularly rewarding.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative career paths in India as Business Analysts, Data Analysts, Marketing Analysts, Financial Analysts, or Consultants. Entry-level salaries typically range from INR 3.5 to 6 LPA, with significant growth potential reaching INR 10-15+ LPA for experienced professionals in managerial analytics roles within Indian and multinational companies. The program prepares students for industry-recognized certifications in data analytics tools and methodologies, enhancing their employability and professional growth.
Student Success Practices
Foundation Stage
Master Core Business & Quantitative Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand foundational subjects like Business Mathematics, Statistics, Micro/Macro Economics, and Principles of Management. These form the bedrock for advanced analytics concepts. Utilize online tutorials and practice problems regularly.
Tools & Resources
Khan Academy, Coursera (for basic stats/economics), NCERT textbooks (for strong fundamentals)
Career Connection
A strong grasp of these concepts is crucial for interpreting business scenarios and statistical models correctly, which are essential skills for any business analyst role. It helps build robust problem-solving abilities.
Develop Early Spreadsheet Proficiency- (Semester 1-2)
Proactively build expertise in Microsoft Excel for data handling and basic analysis. Practice data entry, formulas, functions (VLOOKUP, IF, SUMIFS), and pivot tables. Explore Excel''''s data analysis toolpak for descriptive statistics.
Tools & Resources
Microsoft Excel Training (official tutorials), YouTube channels (e.g., ExcelIsFun), Practice datasets from Kaggle
Career Connection
Excel is a universal tool in business. Early proficiency ensures you can handle operational data effectively, impress during internships, and quickly move to more advanced tools when required, setting a professional baseline.
Engage in Peer Learning and Discussion Groups- (Semester 1-2)
Form study groups with classmates to discuss complex topics, solve case studies, and clarify doubts. Teach concepts to peers to solidify your own understanding. Participate actively in classroom discussions and ask questions.
Tools & Resources
College library study rooms, Online collaboration tools (Google Docs), Course discussion forums
Career Connection
Enhances communication skills, fosters critical thinking, and exposes you to diverse perspectives – all vital for teamwork and collaborative problem-solving in a professional analytics environment.
Intermediate Stage
Build Foundational Programming Skills for Analytics (R/Python)- (Semester 3-5)
Beyond coursework, consistently practice R and Python programming. Focus on data cleaning, manipulation (Pandas, Dplyr), and basic visualization (Matplotlib, ggplot2). Work on small, independent coding projects to apply learned concepts.
Tools & Resources
DataCamp, HackerRank, GeeksforGeeks for R/Python tutorials, Jupyter Notebooks
Career Connection
These are the industry-standard languages for data analysis. Early and consistent practice makes you proficient, enabling you to tackle real-world analytical problems and stand out in internships and job interviews.
Undertake Data Analysis Mini-Projects- (Semester 3-5)
Identify business problems from public datasets (e.g., sales data, customer reviews) and apply your learned analytical tools (Excel, R, Python) to derive insights. Document your process and findings clearly.
Tools & Resources
Kaggle (datasets and kernels), UCI Machine Learning Repository, GitHub for project showcasing
Career Connection
Practical projects demonstrate your ability to apply theoretical knowledge, build a portfolio, and provide tangible examples for recruiters, showcasing problem-solving and technical skills.
Participate in Inter-College Competitions and Workshops- (Semester 3-5)
Actively seek out and participate in data analytics hackathons, case study competitions, and workshops organized by industry bodies or other institutions. This exposes you to diverse challenges and networking opportunities.
Tools & Resources
College notice boards, LinkedIn groups for analytics events, Industry association websites
Career Connection
Builds competitive spirit, enhances problem-solving under pressure, provides networking opportunities with industry professionals and peers, and adds valuable achievements to your resume.
Advanced Stage
Focus on Advanced Data Visualization & Storytelling- (Semester 6)
Beyond just creating charts, learn to design compelling dashboards and narratives using tools like Tableau or Power BI. Practice presenting your findings clearly and persuasively, understanding the business context.
Tools & Resources
Tableau Public (free version), Power BI Desktop (free), Udemy/Coursera courses on Data Storytelling
Career Connection
Excellent visualization and communication skills are paramount for a Business Analyst to convey insights to non-technical stakeholders, driving business impact and increasing your value in any organization.
Target Specialised Internships and Certification- (Semester 5-6)
Actively seek internships focused on business analytics in your preferred industry (e.g., finance, marketing). Pursue industry certifications in SQL, Tableau, Power BI, or specific machine learning frameworks to validate your skills.
Tools & Resources
Naukri.com, LinkedIn Jobs, Online certification platforms (e.g., Google Analytics Academy, IBM Data Science Professional Certificate)
Career Connection
Internships provide crucial real-world experience and networking. Certifications provide tangible proof of expertise, making your profile more attractive to potential employers and fast-tracking career growth.
Undertake a Comprehensive Capstone Project- (Semester 6)
For your final major project, choose a complex, real-world business problem. Apply the full analytical lifecycle: data collection, cleaning, modeling, visualization, and recommendation. Document meticulously and prepare for a strong defense.
Tools & Resources
Company-sponsored projects, Mentors from faculty or industry, Advanced datasets
Career Connection
This project is your ultimate portfolio piece, demonstrating your end-to-end analytical capabilities. A well-executed project is often the deciding factor in securing top placements and showcases your readiness for demanding roles.
Program Structure and Curriculum
Eligibility:
- 10+2 with a minimum of 50% marks (45% for SC/ST candidates) from any recognized Pre-University Board/Council/Equivalent
Duration: 3 years (6 semesters)
Credits: 144 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BBA-BA-101 | Business Communication | Core | 2 | Introduction to Business Communication, Written Communication, Oral Communication, Interpersonal Skills, Technology in Communication |
| 21BBA-BA-102 | Micro Economics | Core | 4 | Introduction to Economics, Theory of Consumer Behaviour, Production and Cost Analysis, Market Structures, Factor Pricing |
| 21BBA-BA-103 | Principles of Management | Core | 4 | Nature and Significance of Management, Planning, Organizing, Directing and Leading, Controlling |
| 21BBA-BA-104 | Financial Accounting | Core | 4 | Introduction to Accounting, Accounting Concepts and Principles, Journal and Ledger, Trial Balance and Final Accounts, Special Accounts |
| 21BBA-BA-105 | Business Mathematics | Core | 4 | Matrices and Determinants, Set Theory, Relations and Functions, Differential Calculus, Integral Calculus |
| 21BBA-BA-106 | Environmental Studies | Skill Enhancement | 2 | Multidisciplinary Nature of Environmental Studies, Natural Resources, Ecosystems, Environmental Pollution, Social Issues and the Environment |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BBA-BA-201 | Macro Economics | Core | 4 | Introduction to Macroeconomics, National Income, Theories of Employment and Money, Inflation and Business Cycles, Fiscal and Monetary Policy |
| 21BBA-BA-202 | Organisational Behaviour | Core | 4 | Introduction to Organisational Behaviour, Individual Behaviour, Group Dynamics, Organisational Design and Culture, Leadership and Motivation |
| 21BBA-BA-203 | Marketing Management | Core | 4 | Introduction to Marketing, Marketing Environment, Consumer Behaviour, Product and Pricing Decisions, Promotion and Distribution Decisions |
| 21BBA-BA-204 | Cost Accounting | Core | 4 | Introduction to Cost Accounting, Cost Concepts and Classification, Cost Sheet and Reconciliation, Process Costing, Marginal Costing and Break-Even Analysis |
| 21BBA-BA-205 | Business Statistics | Core | 4 | Introduction to Statistics, Measures of Central Tendency and Dispersion, Correlation and Regression Analysis, Probability Distributions, Sampling and Hypothesis Testing |
| 21BBA-BA-206 | Indian Constitution | Skill Enhancement | 2 | Historical Background and Making of the Constitution, Salient Features of the Indian Constitution, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Government Structures |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BBA-BA-301 | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning and Recruitment, Training and Development, Performance Appraisal, Compensation and Employee Relations |
| 21BBA-BA-302 | Financial Management | Core | 4 | Introduction to Financial Management, Capital Budgeting, Cost of Capital, Working Capital Management, Dividend Policy |
| 21BBA-BA-303 | Operations Management | Core | 4 | Introduction to Operations Management, Product and Process Design, Facility Location and Layout, Inventory Management, Quality Management |
| 21BBA-BA-304 | Business Law | Core | 4 | Indian Contract Act 1872, Sale of Goods Act 1930, Negotiable Instruments Act 1881, Consumer Protection Act 2019, Companies Act 2013 |
| 21BBA-BA-305 | Data Analytics using Spreadsheet | Specialization Core | 4 | Introduction to Spreadsheet for Data Analysis, Data Cleaning and Preparation, Descriptive Statistics using Excel, Data Visualization in Excel, Pivot Tables and What-if Analysis |
| 21BBA-BA-306 | Introduction to Data Science & Big Data | Specialization Core | 4 | Fundamentals of Data Science, Big Data Concepts, Data Analytics Lifecycle, Data Management Technologies, Ethical Considerations in Data Science |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BBA-BA-401 | Entrepreneurship Development | Core | 4 | Concept of Entrepreneurship, Creativity and Innovation, Business Plan Preparation, Sources of Finance, Challenges and Support Systems |
| 21BBA-BA-402 | Research Methodology for Business | Core | 4 | Introduction to Business Research, Research Design, Data Collection Methods, Sampling Techniques, Data Analysis and Report Writing |
| 21BBA-BA-403 | Business Analytics using R | Specialization Core | 4 | Introduction to R Programming, Data Manipulation in R, Descriptive Statistics with R, Data Visualization with ggplot2, Basic Statistical Models in R |
| 21BBA-BA-404 | Python for Data Analytics | Specialization Core | 4 | Introduction to Python for Data Science, Numpy for Numerical Computing, Pandas for Data Manipulation, Data Visualization with Matplotlib/Seaborn, Basic Data Preprocessing |
| 21BBA-BA-405 | Machine Learning Concepts | Specialization Core | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation Metrics, Bias-Variance Tradeoff |
| 21BBA-BA-406 | Project Work (Business Analytics) | Specialization Project | 4 | Problem Identification, Data Collection and Preparation, Analytical Model Development, Interpretation of Results, Report Writing and Presentation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BBA-BA-501 | International Business | Core | 4 | Introduction to International Business, Theories of International Trade, Global Financial Systems, Entry Strategies into International Markets, International Marketing and HR |
| 21BBA-BA-502 | Strategic Management | Core | 4 | Nature and Scope of Strategic Management, Strategic Intent and Formulation, Environmental Scanning and Analysis, Strategy Implementation, Strategic Evaluation and Control |
| 21BBA-BA-503 | Data Visualization | Specialization Core | 4 | Principles of Data Visualization, Types of Charts and Graphs, Tools for Data Visualization (e.g., Tableau, Power BI), Dashboard Design, Storytelling with Data |
| 21BBA-BA-504A | Predictive Analytics | Elective | 4 | Introduction to Predictive Modelling, Regression Models, Classification Models (Logistic Regression, Decision Trees), Time Series Analysis, Model Deployment and Monitoring |
| 21BBA-BA-504B | Digital Marketing Analytics | Elective | 4 | Introduction to Digital Marketing, Web Analytics (Google Analytics), Social Media Analytics, SEO Analytics, Campaign Performance Measurement |
| 21BBA-BA-505 | Internship | Internship | 4 | Practical Industry Exposure, Application of Analytical Skills, Project Implementation, Professional Networking, Report and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BBA-BA-601 | Business Ethics & Corporate Governance | Core | 4 | Introduction to Business Ethics, Ethical Decision Making, Corporate Governance Principles, Role of Board of Directors, CSR and Sustainability |
| 21BBA-BA-602 | Customer Relationship Management | Core | 4 | Introduction to CRM, CRM Strategy and Implementation, Customer Data Management, Customer Loyalty and Retention, CRM Technologies and Trends |
| 21BBA-BA-603 | Cloud Computing for Business Analytics | Specialization Core | 4 | Introduction to Cloud Computing, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Cloud Platforms for Analytics (AWS, Azure, GCP), Data Storage and Processing in Cloud |
| 21BBA-BA-604A | Text Mining and Natural Language Processing | Elective | 4 | Introduction to Text Mining, Text Preprocessing and Feature Extraction, Sentiment Analysis, Topic Modeling, Applications of NLP in Business |
| 21BBA-BA-604B | Advanced Machine Learning Techniques | Elective | 4 | Deep Learning Fundamentals, Neural Networks, Ensemble Methods (Random Forest, Boosting), Reinforcement Learning Basics, Advanced Model Tuning and Interpretation |
| 21BBA-BA-605 | Major Project / Dissertation | Specialization Project | 6 | Advanced Problem Definition, Extensive Data Analysis, Model Development and Validation, Strategic Recommendations, Comprehensive Report and Defense |
