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BBA in Business Analytics at SRM Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is Business Analytics at SRM Institute of Science and Technology Chengalpattu?
This Business Analytics program at SRM Institute of Science and Technology focuses on equipping students with a robust foundation in business principles combined with advanced analytical skills. It''''s designed to meet the growing demand in the Indian market for professionals capable of transforming complex data into actionable business insights. The program differentiates itself by integrating core business knowledge with hands-on training in cutting-edge analytical tools and methodologies.
Who Should Apply?
This program is ideal for fresh graduates from any stream seeking entry into the dynamic field of data-driven business. It also suits working professionals looking to upskill in analytics or career changers transitioning into roles demanding strong analytical prowess. Individuals with a keen interest in data interpretation, problem-solving, and strategic decision-making in a business context will find this program highly rewarding.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including Business Analyst, Data Analyst, Marketing Analyst, Financial Analyst, and Operations Analyst. Entry-level salaries typically range from INR 3.5 to 6 LPA, growing significantly with experience. The program aligns with industry certifications, enhancing growth trajectories in Indian and multinational companies seeking data-proficient managers.
Student Success Practices
Foundation Stage
Build Strong Business & Statistical Fundamentals- (Semester 1-2)
Focus rigorously on core subjects like Financial Accounting, Business Statistics, and Principles of Management. Actively participate in labs for professional English and computer applications to build foundational communication and software skills. Form study groups to discuss complex concepts and prepare for competitive internal and external assessments.
Tools & Resources
NPTEL courses on statistics and management, Khan Academy for accounting basics, SRM IST''''s library resources, peer learning groups
Career Connection
A solid grasp of business fundamentals and statistics is crucial for understanding analytical problems and interpreting results, laying the groundwork for specialized analytics roles.
Develop Basic Data Handling & Communication Skills- (Semester 1-2)
Master spreadsheet applications (like MS Excel) for data entry, cleaning, and basic analysis. Simultaneously, focus on refining communication and presentation skills through lab sessions and classroom activities. Participate in college debates or clubs to enhance public speaking and logical reasoning.
Tools & Resources
Microsoft Excel tutorials, Coursera/edX courses on data handling in Excel, Toastmasters International chapters
Career Connection
Proficiency in basic data tools and effective communication are entry-level requirements for any analyst role, enabling clear articulation of findings.
Proactive Engagement & Networking- (Semester 1-2)
Attend introductory workshops on analytics or data science, even if outside the immediate curriculum. Network with seniors, faculty, and guest speakers to understand industry trends and potential career paths. Seek out college clubs focused on technology or business to gain early exposure.
Tools & Resources
LinkedIn for professional networking, college career counseling events, SRM IST alumni network
Career Connection
Early exposure helps in identifying areas of interest and building a professional network that can be invaluable for internships and future job opportunities.
Intermediate Stage
Master Core Analytics Tools & Concepts- (Semester 3-4)
Dive deep into specialized subjects like Introduction to Business Analytics, Database Management Systems, Business Intelligence, Data Mining, and Python for Analytics. Practice extensively in lab sessions, ensuring hands-on proficiency with SQL, data visualization tools, and Python libraries (Pandas, NumPy).
Tools & Resources
SQLZoo, HackerRank for SQL/Python practice, official documentation for Pandas/NumPy, Tableau Public, Power BI Desktop
Career Connection
These skills are the bedrock for most Business Analyst and Data Analyst roles, directly translating into the ability to extract, process, and analyze data effectively.
Engage in Real-world Projects & Competitions- (Semester 3-4)
Actively seek out small projects or case studies, either within coursework or independently. Participate in hackathons, data challenges (e.g., Kaggle, Analytics Vidhya), or inter-college competitions to apply learned concepts. Collaborate with peers on mock business problems to develop teamwork and problem-solving skills.
Tools & Resources
Kaggle, Analytics Vidhya, GitHub for project version control, college project fairs
Career Connection
Practical project experience and competition exposure demonstrate problem-solving capabilities and initiative, making resumes stand out to Indian recruiters.
Industry Exposure through Internships- (Semester 3-4)
Look for short-term internships or virtual internships related to data entry, data cleaning, or basic reporting during semester breaks. This provides invaluable exposure to corporate culture and real business problems. Document learnings and build a portfolio of work.
Tools & Resources
Internshala, LinkedIn Jobs, college placement cell for internship opportunities
Career Connection
Internships are critical for bridging the gap between academic learning and industry demands, often leading to pre-placement offers or stronger job prospects in India.
Advanced Stage
Specialize & Build a Robust Portfolio- (Semester 5-6)
Focus on advanced topics like Data Visualization, Machine Learning, Big Data Technologies, Business Forecasting, and Cloud Computing. Choose program electives (Financial, Marketing, HR, Operations Analytics) strategically to align with career interests. Develop complex projects for each area, showcasing a comprehensive skill set.
Tools & Resources
Advanced Tableau/Power BI features, scikit-learn, TensorFlow/Keras, Hadoop/Spark ecosystems, AWS/Azure free tier accounts, personal website/GitHub for portfolio
Career Connection
Specialization and a strong portfolio demonstrate expertise, enabling students to target specific high-paying analytics roles in India''''s competitive job market.
Intensive Placement Preparation- (Semester 5-6)
Dedicate significant time to interview preparation, focusing on technical analytics questions, case studies, and behavioral aspects. Attend mock interviews, resume writing workshops, and group discussion practices organized by the placement cell. Network with alumni who are in desired roles for insights and mentorship.
Tools & Resources
InterviewBit, LeetCode (for logic), Glassdoor for company-specific interview questions, SRM IST placement cell resources
Career Connection
Thorough preparation is essential for converting interview opportunities into successful placements in top Indian companies and MNCs.
Capstone Project & Industry Immersion- (Semester 6 (Project Work & Internship))
Undertake a significant Capstone Project or Dissertation that solves a real-world business problem, ideally in collaboration with an industry partner. Leverage the internship experience to apply advanced analytical techniques. This allows for deep application of all learned skills and demonstrates readiness for an industry role.
Tools & Resources
All previously learned analytics tools, industry mentors, project management software
Career Connection
A well-executed capstone project is a powerful differentiator, showcasing independent problem-solving abilities and practical impact, directly enhancing employability.
Program Structure and Curriculum
Eligibility:
- A pass in 10+2 (Higher Secondary) or equivalent examination with a minimum of 50% aggregate.
Duration: 3 years / 6 semesters
Credits: 124 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BA101 | Professional English I | Core | 3 | Communication Skills, Grammar, Reading Comprehension, Writing Skills, Presentation Skills |
| 21BA102 | Financial Accounting | Core | 3 | Accounting Principles, Journal and Ledger, Trial Balance, Financial Statements, Depreciation, Inventories |
| 21BA103 | Business Statistics | Core | 4 | Data Collection, Measures of Central Tendency, Probability, Sampling, Hypothesis Testing, Correlation and Regression |
| 21BA104 | Principles of Management | Core | 3 | Evolution of Management, Planning, Organizing, Staffing, Directing, Controlling |
| 21BA105 | Business Economics | Core | 3 | Demand and Supply, Consumer Behavior, Production and Costs, Market Structures, Macroeconomics, National Income |
| 21BA106 | Computer Applications in Business | Core | 3 | Introduction to Computers, MS Office, Data Management, Spreadsheet Applications, Presentation Tools |
| 21BA107 | Professional English Lab I | Core | 1 | Listening Skills, Speaking Practice, Group Discussion, Presentation Practice, Interview Skills |
| 21BA108 | Financial Accounting Lab | Core | 1 | Journal Entries, Ledger Posting, Trial Balance Preparation, Financial Statement Analysis using Software |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BA201 | Professional English II | Core | 3 | Advanced Reading, Critical Thinking, Report Writing, Public Speaking, Cross-Cultural Communication |
| 21BA202 | Cost and Management Accounting | Core | 3 | Cost Concepts, Cost Sheet, Marginal Costing, Budgetary Control, Variance Analysis, Standard Costing |
| 21BA203 | Quantitative Methods for Business | Core | 4 | Linear Programming, Transportation Problems, Assignment Problems, Decision Theory, Network Analysis, Game Theory |
| 21BA204 | Marketing Management | Core | 3 | Marketing Environment, Market Segmentation, Product Life Cycle, Pricing Strategies, Promotion Mix, Distribution Channels |
| 21BA205 | Business Environment and Ethics | Core | 3 | Economic Environment, Social Environment, Legal Environment, Business Ethics, Corporate Social Responsibility, Governance |
| 21BA206 | Organizational Behavior | Core | 3 | Individual Behavior, Group Dynamics, Motivation, Leadership, Conflict Management, Organizational Culture |
| 21BA207 | Professional English Lab II | Core | 1 | Advanced Speaking, Role Plays, Negotiations, Presentation Design, Interpersonal Communication |
| 21BA208 | Computer Applications in Business Lab | Core | 1 | Advanced Excel Functions, Database Management Systems, Data Analysis Tools, Business Software Practice |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BA301 | Business Law | Core | 3 | Indian Contract Act, Sale of Goods Act, Negotiable Instruments Act, Consumer Protection Act, Company Law, Cyber Law |
| 21BA302 | Human Resource Management | Core | 3 | HR Planning, Recruitment and Selection, Training and Development, Performance Management, Compensation, Industrial Relations |
| 21BA303 | Operations Management | Core | 3 | Production Planning, Inventory Management, Quality Management, Supply Chain Management, Lean Operations, Project Management |
| 21BA304 | Introduction to Business Analytics | Core | 4 | Analytics Overview, Data Sources, Data Preparation, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics |
| 21BA305 | Database Management Systems | Core | 3 | Data Models, Relational Algebra, SQL, Database Design, Normalization, Data Warehousing |
| 21BAOE01 | Entrepreneurship Development | Open Elective | 3 | Entrepreneurial Process, Business Plan, Startup Funding, Innovation, Small Business Management, Legal Aspects |
| 21BA307 | Business Analytics Lab I | Core | 1 | Excel for Analytics, Data Visualization, SQL Queries, Data Cleaning, Basic Statistical Analysis, Reporting Tools |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BA401 | Research Methods in Business | Core | 3 | Research Design, Data Collection Methods, Sampling, Data Analysis, Hypothesis Testing, Report Writing |
| 21BA402 | Financial Management | Core | 3 | Financial Decisions, Capital Budgeting, Working Capital Management, Cost of Capital, Capital Structure, Dividend Policy |
| 21BA403 | Business Intelligence | Core | 4 | BI Architecture, Data Warehousing, ETL Process, OLAP, Data Mining, Reporting and Dashboards |
| 21BA404 | Data Mining for Business | Core | 3 | Data Preprocessing, Classification, Clustering, Association Rule Mining, Regression, Text Mining |
| 21BA405 | Python for Analytics | Core | 3 | Python Fundamentals, Data Structures, Pandas, NumPy, Data Visualization with Matplotlib, Scikit-learn basics |
| 21BAOE02 | Supply Chain Management | Open Elective | 3 | SCM Concepts, Logistics, Inventory Management, Transportation, Warehousing, Global SCM |
| 21BA407 | Business Analytics Lab II | Core | 1 | Data Mining Tools, BI Reporting, Dashboard Design, Python Programming for Data, Predictive Modeling Practice |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BA501 | Strategic Management | Core | 3 | Strategic Planning, Environmental Analysis, Strategy Formulation, Strategy Implementation, Strategic Control, Competitive Advantage |
| 21BA502 | Data Visualization | Core | 4 | Visualization Principles, Chart Types, Dashboard Design, Tableau/Power BI, Interactive Visualizations, Storytelling with Data |
| 21BA503 | Machine Learning for Business | Core | 3 | Supervised Learning, Unsupervised Learning, Regression Models, Classification Algorithms, Ensemble Methods, Model Evaluation |
| 21BA504 | Big Data Technologies | Core | 3 | Big Data Concepts, Hadoop Ecosystem, HDFS, MapReduce, Spark, NoSQL Databases |
| 21BAPE01 | Financial Analytics | Program Elective | 3 | Financial Modeling, Portfolio Analysis, Risk Management, Algorithmic Trading, Financial Forecasting, Investment Analytics |
| 21BAPE02 | Marketing Analytics | Program Elective | 3 | Customer Segmentation, Campaign Analysis, Web Analytics, Social Media Analytics, Pricing Analytics, Market Basket Analysis |
| 21BA507 | Business Analytics Lab III | Core | 1 | Data Visualization Tools, Machine Learning Model Implementation, Big Data Tool Practice, Advanced Analytics Projects |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BA601 | Project Work / Dissertation | Core | 6 | Research Proposal, Data Collection, Data Analysis, Report Writing, Presentation, Project Management |
| 21BA602 | Business Forecasting | Core | 4 | Time Series Analysis, Exponential Smoothing, ARIMA Models, Regression for Forecasting, Demand Forecasting, Sales Forecasting |
| 21BA603 | Cloud Computing for Business | Core | 3 | Cloud Models, Cloud Services (IaaS, PaaS, SaaS), AWS/Azure/GCP Basics, Cloud Security, Cloud Deployment, Serverless Computing |
| 21BAPE03 | HR Analytics | Program Elective | 3 | Workforce Planning, Employee Turnover Analysis, Performance Analytics, Recruitment Analytics, Compensation Analytics, Employee Engagement |
| 21BAPE04 | Operations Analytics | Program Elective | 3 | Supply Chain Optimization, Inventory Analytics, Quality Control, Predictive Maintenance, Logistics Optimization, Capacity Planning |
| 21BA606 | Internship | Core | 3 | Industry Experience, Practical Application, Project Report, Presentation, Professional Skill Development |
