

BBA in Business Analytics at CHRIST (Deemed to be University)


Bengaluru, Karnataka
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About the Specialization
What is Business Analytics at CHRIST (Deemed to be University) Bengaluru?
This BBA Business Analytics program at CHRIST, Bengaluru, focuses on equipping students with analytical skills to interpret complex data and drive informed business decisions. It addresses the growing demand in the Indian industry for professionals capable of leveraging data science, machine learning, and statistical tools to solve real-world business challenges. The program''''s interdisciplinary approach integrates core business knowledge with advanced analytical techniques.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the burgeoning field of data analytics, working professionals looking to upskill in data-driven strategies, and career changers transitioning into the technology-driven business sector. Candidates with a strong quantitative aptitude and a keen interest in problem-solving using data will find this program particularly rewarding.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India as Business Analysts, Data Analysts, Marketing Analysts, Financial Analysts, and consultants. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The curriculum prepares students for roles in both Indian startups and multinational corporations, fostering skills aligned with industry-standard certifications.

Student Success Practices
Foundation Stage
Master Foundational Business and Quantitative Skills- (Semester 1-2)
Focus rigorously on core subjects like Business Statistics, Business Mathematics, and Financial Accounting. Actively participate in problem-solving sessions and utilize online resources for quantitative practice. Strong fundamentals here are crucial for advanced analytics concepts.
Tools & Resources
Khan Academy, Coursera (intro statistics/math), Previous year question papers
Career Connection
A solid grasp of these basics underpins all subsequent analytics courses and is essential for clearing entry-level aptitude tests and understanding business contexts for data analysis.
Develop Strong Communication and Presentation Abilities- (Semester 1-2)
Engage in all communication skill development activities, including presentations, debates, and report writing. Seek feedback on clarity and conciseness. Join clubs like Toastmasters or college literary societies to enhance public speaking and storytelling.
Tools & Resources
Grammarly, Google Slides/PowerPoint, College communication workshops
Career Connection
Business analysts frequently present complex findings to non-technical stakeholders; clear communication is vital for influencing decisions and career advancement.
Proactively Learn Spreadsheet and Basic Database Tools- (Semester 1-2)
Go beyond basic curriculum by mastering advanced Excel functions (pivot tables, VLOOKUP, macros) and exploring introductory SQL concepts. Utilize online tutorials and practice datasets to build proficiency.
Tools & Resources
Microsoft Excel, W3Schools SQL tutorial, Online data manipulation exercises
Career Connection
These are fundamental tools in almost every business analytics role, enabling efficient data handling, preliminary analysis, and querying databases.
Intermediate Stage
Deep Dive into Analytics Tools and Programming Languages- (Semester 3-4)
Complement course learning in Data Warehousing, Statistical Tools, and DBMS with hands-on practice in R or Python for statistical analysis and data manipulation. Work on small personal projects using real datasets.
Tools & Resources
RStudio, Python (Anaconda distribution), Kaggle datasets, DataCamp
Career Connection
Proficiency in programming languages like R/Python is a non-negotiable skill for most analytical roles, allowing for advanced statistical modeling and automation.
Seek Industry Exposure through Internships and Projects- (Semester 3-4)
Actively search for short-term internships, virtual projects, or live case studies, even if unpaid, in areas like marketing, finance, or HR analytics. Apply classroom knowledge to real business problems. Network with professionals.
Tools & Resources
LinkedIn, College placement cell, Industry mentorship programs
Career Connection
Practical experience significantly boosts resume value, helps build a professional network, and clarifies career interests, directly leading to better placement opportunities.
Participate in Data Science Competitions and Workshops- (Semester 3-4)
Join data hackathons, Kaggle competitions, or college-level analytics challenges. This provides hands-on experience, allows for peer learning, and builds a portfolio of projects. Attend workshops on emerging analytics topics.
Tools & Resources
Kaggle, HackerEarth, Local tech meetups, College technical clubs
Career Connection
Success in these competitions demonstrates problem-solving skills, technical aptitude, and the ability to work under pressure, making candidates highly attractive to employers.
Advanced Stage
Build a Robust Analytics Portfolio and Capstone Project- (Semester 5-6)
Dedicate significant effort to the Analytics Capstone Project, choosing a problem with real-world impact. Document the entire process (data cleaning, modeling, insights) thoroughly. Curate other projects onto a public platform.
Tools & Resources
GitHub, Personal website/blog, Tableau Public, Jupyter Notebooks
Career Connection
A strong portfolio demonstrates practical skills, problem-solving abilities, and initiative, serving as a powerful credential during interviews and recruitment.
Master Data Visualization and Storytelling Tools- (Semester 5-6)
Become highly proficient in tools like Tableau or Power BI. Practice creating interactive dashboards and effectively communicating data insights to diverse audiences. Focus on telling a compelling story with data.
Tools & Resources
Tableau Desktop (student license), Power BI Desktop, Online courses on data visualization best practices
Career Connection
Visualizing data and communicating insights are critical skills for analysts, enabling them to convey complex information clearly and influence business decisions.
Network Strategically and Prepare for Placements- (Semester 5-6)
Actively network with alumni, industry professionals, and recruiters through university events, LinkedIn, and industry conferences. Tailor your resume and prepare for technical and behavioral interviews, focusing on case studies relevant to business analytics.
Tools & Resources
LinkedIn, Mock interview platforms, Career services at CHRIST University
Career Connection
Networking opens doors to hidden job opportunities, provides mentorship, and strong interview preparation is key to securing desired roles in top companies.
Program Structure and Curriculum
Eligibility:
- Pass in 10+2 with a minimum of 60% aggregate marks
Duration: 3 years (6 semesters)
Credits: 157 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA131 | Micro Economics for Business Decisions | Core | 4 | Introduction to Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structures, Pricing Strategies |
| BBA132 | Fundamentals of Accounting | Core | 4 | Introduction to Accounting, Journal, Ledger and Trial Balance, Final Accounts, Depreciation, Partnership Accounts |
| BBA133 | Business Statistics | Core | 4 | Introduction to Statistics, Measures of Central Tendency, Measures of Dispersion, Probability, Correlation and Regression |
| BBA134 | Indian Constitution | Ability Enhancement Compulsory Course | 2 | Framing of Indian Constitution, Fundamental Rights, Directive Principles of State Policy, Union and State Legislature, Judiciary |
| BBA135 | Communication Skills | Skill Enhancement Course | 2 | Introduction to Communication, Verbal and Non-Verbal Communication, Listening Skills, Presentation Skills, Report Writing |
| BBA136 | Environmental Studies | Ability Enhancement Compulsory Course | 2 | Multidisciplinary Nature of Environmental Studies, Ecosystems, Biodiversity and Conservation, Environmental Pollution, Social Issues and the Environment |
| BBA137 | Financial Accounting Software Lab | Skill Enhancement Course | 2 | Introduction to Tally, Company Creation, Ledger Creation and Vouchers, Financial Reports Generation, Data Backup and Restore |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA231 | Macro Economics for Business Decisions | Core | 4 | Introduction to Macroeconomics, National Income Accounting, Theories of Employment, Inflation and Business Cycles, Monetary and Fiscal Policy |
| BBA232 | Organisational Behaviour | Core | 4 | Introduction to Organisational Behaviour, Perception and Learning, Personality and Attitudes, Motivation, Group Dynamics and Leadership |
| BBA233 | Business Mathematics | Core | 4 | Matrices and Determinants, Ratio, Proportion and Percentage, Progressions and Annuities, Differential Calculus for Business, Integral Calculus for Business |
| BBA234 | Business Law | Core | 4 | Indian Contract Act, 1872, Sale of Goods Act, 1930, Consumer Protection Act, 2019, Negotiable Instruments Act, 1881, Limited Liability Partnership Act, 2008 |
| BBA235 | Entrepreneurship Development | Skill Enhancement Course | 2 | Concept of Entrepreneurship, Entrepreneurial Process, Business Plan Preparation, Sources of Finance for Entrepreneurs, Government Support to Entrepreneurs |
| BBA236 | Computer Applications in Business Lab | Skill Enhancement Course | 2 | MS Excel for Data Analysis, Word Processing and Mail Merge, PowerPoint for Business Presentations, Internet and E-Commerce Applications, Basic Data Management Tools |
| BBA237 | Research Methodology | Core | 4 | Introduction to Research, Research Design and Types, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA331 | Human Resource Management | Core | 4 | Introduction to HRM, Job Analysis and Design, Recruitment and Selection, Training and Development, Performance Appraisal |
| BBA332 | Marketing Management | Core | 4 | Marketing Mix, Consumer Behaviour, Market Segmentation, Targeting and Positioning, Product Life Cycle, Branding and Packaging |
| BBA333 | Financial Management | Core | 4 | Financial Planning and Forecasting, Capital Budgeting Decisions, Working Capital Management, Cost of Capital, Dividend Policy |
| BBA334 | Company Law | Core | 4 | Incorporation of Company, Share Capital and Debentures, Management and Administration, Company Meetings, Winding Up of Companies |
| BBA3751 | Foundations of Business Analytics | Elective (Business Analytics) | 3 | Introduction to Business Analytics, Data Types and Sources, Data Collection Methods, Business Intelligence Concepts, Analytics Life Cycle |
| BBA3752 | Data Warehousing and Data Mining | Elective (Business Analytics) | 3 | Data Warehousing Architecture, Data Marts and OLAP, Introduction to Data Mining, Association Rule Mining, Classification Techniques |
| BBA3753 | Statistical Tools for Business Analytics | Elective (Business Analytics) | 3 | Hypothesis Testing, Analysis of Variance (ANOVA), Regression Analysis, Time Series Analysis Basics, Non-parametric Tests |
| BBA3754 | Database Management Systems for Business | Elective (Business Analytics) | 3 | Relational Database Concepts, Structured Query Language (SQL), Data Modeling, Database Design Principles, Data Integrity and Security |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA431 | Operations Management | Core | 4 | Production Systems and Design, Inventory Management, Quality Management and Control, Supply Chain Management, Project Management Techniques |
| BBA432 | Principles of Banking and Insurance | Core | 4 | Commercial Banking Operations, Central Banking and Monetary Policy, Types of Insurance, Life Insurance Principles, General Insurance Products |
| BBA433 | International Business | Core | 4 | Theories of International Trade, Modes of Entry into International Business, International Finance, Global Marketing Strategies, Cultural Environment in IB |
| BBA434 | Cost and Management Accounting | Core | 4 | Cost Concepts and Classifications, Cost Sheet and Reconciliation, Marginal Costing, Budgetary Control, Standard Costing and Variance Analysis |
| BBA4751 | Marketing Analytics | Elective (Business Analytics) | 3 | Customer Analytics, Sales and Channel Analytics, Pricing Analytics, Campaign Management Analytics, Web and Social Media Analytics |
| BBA4752 | Financial Analytics | Elective (Business Analytics) | 3 | Portfolio Analytics, Risk Analytics, Credit Scoring Models, Algorithmic Trading Strategies, Financial Market Prediction |
| BBA4753 | Human Resource Analytics | Elective (Business Analytics) | 3 | Workforce Planning Analytics, Recruitment and Selection Analytics, Performance Analytics, Retention and Attrition Analytics, Compensation and Benefits Analytics |
| BBA4754 | Big Data Technologies | Elective (Business Analytics) | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), NoSQL Databases, Apache Spark Basics, Cloud-based Big Data Solutions |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA531 | Retail Management | Core | 4 | Retailing Environment, Retail Formats and Theories, Store Location and Layout, Merchandising and Assortment Planning, Retail Promotion and Communication |
| BBA532 | Corporate Social Responsibility & Business Ethics | Core | 4 | Concepts of CSR, Stakeholder Theory, Ethical Dilemmas in Business, Corporate Governance, Sustainability Reporting |
| BBA533 | Strategic Management | Core | 4 | Strategic Planning Process, Environmental Analysis, Strategy Formulation, Strategy Implementation, Strategic Control |
| BBA534 | Financial Markets and Services | Core | 4 | Money Market, Capital Market, Stock Exchange Operations, Mutual Funds, Investment Banking and Merchant Banking |
| BBA5751 | Machine Learning for Business | Elective (Business Analytics) | 3 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Decision Trees and Ensemble Methods, Neural Networks and Deep Learning Basics, Model Evaluation and Hyperparameter Tuning |
| BBA5752 | Data Visualization and Storytelling | Elective (Business Analytics) | 3 | Principles of Data Visualization, Types of Charts and Graphs, Dashboard Design, Tools: Tableau/Power BI, Communicating Insights Effectively |
| BBA5753 | Business Forecasting Methods | Elective (Business Analytics) | 3 | Components of Time Series, Moving Averages and Exponential Smoothing, ARIMA Models, Causal Forecasting Techniques, Forecast Accuracy Metrics |
| BBA5754 | Operations and Supply Chain Analytics | Elective (Business Analytics) | 3 | Inventory Optimization Analytics, Logistics and Transportation Analytics, Demand Forecasting in Supply Chain, Quality Control and Process Improvement, Network Design and Location Analytics |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA631 | Indian Economy | Core | 4 | Structure of Indian Economy, Economic Reforms in India, Agriculture Sector Analysis, Industrial Sector Development, Services Sector Growth |
| BBA632 | Goods and Services Tax | Core | 4 | Introduction to GST, Levy and Collection of GST, Input Tax Credit, Registration and Records under GST, Returns and Refunds under GST |
| BBA633 | Project Management | Core | 4 | Project Life Cycle, Project Planning and Scheduling, Resource Allocation, Project Risk Management, Project Monitoring and Control |
| BBA634 | Internship | Practical | 4 | Industry Exposure, Application of Management Concepts, Problem Solving in Real-World Scenarios, Report Writing and Presentation, Professional Development |
| BBA6751 | Ethics and Governance in Analytics | Elective (Business Analytics) | 3 | Data Privacy and Security, Ethical Implications of AI, Regulatory Compliance (GDPR, India''''s Data Protection Bill), Data Governance Frameworks, Bias and Fairness in Algorithms |
| BBA6752 | Prescriptive Analytics | Elective (Business Analytics) | 3 | Optimization Techniques, Linear Programming, Simulation Modeling, Decision Analysis, A/B Testing and Experimentation |
| BBA6753 | Analytics Capstone Project | Project (Business Analytics) | 4 | Problem Definition and Scoping, Data Acquisition and Pre-processing, Model Development and Validation, Interpretation of Results, Report Writing and Presentation |
| BBA6754 | Business Intelligence Tools | Elective (Business Analytics) | 3 | BI Architecture and Components, ETL Process, Reporting and Dashboarding Tools, OLAP Cubes, Self-Service BI |




