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MBA 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 advanced analytical skills to transform data into actionable business insights. It is highly relevant in the Indian industry, where data-driven decision-making is becoming crucial across sectors like finance, retail, and IT. The program''''s blend of theoretical knowledge and practical application, using modern tools, prepares students for the evolving demands of the analytics landscape.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the high-demand field of data analytics and management, offering a strong foundation for a lucrative career. It also caters to working professionals from various backgrounds looking to upskill in data science, leveraging their existing domain knowledge. Career changers transitioning to technology-driven roles will find the curriculum comprehensive for a move into the data-centric industry. Prerequisites include a bachelor''''s degree with quantitative aptitude.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Business Analyst, Data Scientist, Data Consultant, or Analytics Manager in leading Indian and multinational companies. Entry-level salary ranges typically start from INR 5-8 LPA, with significant growth trajectories for experienced professionals reaching 15-25+ LPA. The program aligns with industry certifications like Tableau, Power BI, and Python for Data Science, enhancing professional value.
Student Success Practices
Foundation Stage
Master Business Fundamentals & Quantitative Skills- (Semester 1-2)
Focus on building a strong base in core MBA subjects like economics, accounting, and statistics. Utilize online platforms such as NPTEL for management principles and Khan Academy for quantitative aptitude exercises. This foundation is crucial for understanding complex business problems and translating them into analytical frameworks, directly impacting case study performance and entry-level job roles.
Tools & Resources
NPTEL, Khan Academy, University Library resources
Career Connection
Strong fundamentals enable effective problem framing and data interpretation, which are critical skills for business analysts and consultants.
Excel Proficiency & Introduction to R/Python- (Semester 1-2)
Develop strong proficiency in Microsoft Excel for data manipulation, analysis, and basic visualization. Concurrently, begin self-learning introductory R or Python programming for data science through interactive platforms. Early familiarity with these tools provides a significant advantage for subsequent specialized analytics courses and summer internships.
Tools & Resources
Microsoft Excel, DataCamp, Coursera (Python for Everybody, R Programming)
Career Connection
Fundamental technical skills in Excel and programming are prerequisites for most analytics roles and accelerate learning in advanced subjects.
Active Participation in Case Competitions- (Semester 1-2)
Engage proactively in inter-college business case competitions, often sponsored by leading companies. These competitions help apply theoretical knowledge to real-world scenarios, develop critical problem-solving skills, and enhance presentation abilities. Success in these events is highly valued by recruiters and significantly boosts a student''''s resume.
Tools & Resources
Case study databases, Previous competition reports, Team collaboration tools
Career Connection
Develops analytical thinking, teamwork, and communication skills essential for consulting and managerial roles in India.
Intermediate Stage
Specialization-focused Project Work- (Semester 3)
Actively seek and participate in real-world projects or mini-consulting assignments specifically related to Business Analytics electives. Utilize platforms like Kaggle for diverse datasets or collaborate with faculty on research initiatives. This hands-on experience deepens specialized knowledge and helps in building a portfolio for demonstrating practical skills during placement interviews.
Tools & Resources
Kaggle, University research labs, Faculty guidance, Industry data sets (if available)
Career Connection
Builds a practical portfolio of projects that are highly regarded by employers for analytics roles, showcasing ability to apply concepts.
Network with Industry Professionals- (Semester 3)
Regularly attend industry conferences, webinars, workshops, and guest lectures, many of which are frequently organized by SRMIST or local business chambers. Leverage LinkedIn to connect with alumni and professionals actively working in the analytics domain. Building a robust professional network can lead to mentorship, valuable internship leads, and future job opportunities in the competitive Indian market.
Tools & Resources
LinkedIn, Professional associations (e.g., NASSCOM), Industry meetups
Career Connection
Networking opens doors to hidden job markets, mentorship, and insights into industry trends, crucial for career advancement.
Master Data Visualization & BI Tools- (Semester 3)
Attain expert-level proficiency in industry-leading data visualization and Business Intelligence tools such as Tableau or Microsoft Power BI. Complete relevant online courses and build a public portfolio of interactive dashboards and reports. Strong data visualization skills are paramount for effectively communicating insights and are highly sought after by recruiters for all analytics roles.
Tools & Resources
Tableau Public, Microsoft Power BI Desktop, Udemy/Coursera courses
Career Connection
Excellent visualization skills are key for presenting analytical findings clearly, a critical aspect of business intelligence and analytics jobs.
Advanced Stage
Intensive Placement Preparation- (Semester 4)
Dedicate significant time to rigorous placement preparation, including mock interviews, aptitude test practice, and resume building workshops offered by the university''''s placement cell. Focus specifically on behavioral questions and technical rounds for analytics roles, covering SQL, Python/R programming, and statistical concepts. This structured preparation is vital for securing top-tier placements in leading companies.
Tools & Resources
Placement cell resources, Online aptitude platforms (e.g., indiabix), Mock interview sessions
Career Connection
Directly enhances interview performance and increases the likelihood of securing desirable job offers in core analytics and consulting firms.
Advanced Analytics Project/Thesis- (Semester 4)
Engage deeply in the final year project or thesis, focusing on solving a complex, real-world business problem using advanced analytics techniques such as Machine Learning or Big Data analytics. Actively collaborate with companies for a capstone project if possible. A robust project showcases specialized expertise and becomes a major talking point in interviews, demonstrating readiness for industry challenges.
Tools & Resources
Institutional research support, Industry partners, Advanced ML libraries (Scikit-learn, TensorFlow)
Career Connection
A strong, relevant final project is a powerful resume enhancer, demonstrating practical problem-solving skills at an advanced level.
Continuous Learning & Industry Trends- (Semester 4)
Commit to continuous learning and stay updated with the latest trends and advancements in Business Analytics, Artificial Intelligence, and Machine Learning through industry blogs, webinars, and specialized online certifications. This proactive approach ensures you remain competitive, adaptable, and relevant to the fast-evolving demands of the analytics job market in India.
Tools & Resources
Google Analytics Academy, AWS/Azure certifications, Analytics Vidhya blog, Kaggle notebooks
Career Connection
Demonstrates initiative and adaptability, making graduates more attractive for roles that require continuous skill development and innovation.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s degree with 60% aggregate marks / equivalent CGPA from a recognized University or Institute. Final year students are also eligible to apply. However, they must produce their final degree marksheet/certificate at the time of admission.
Duration: 2 years (4 semesters)
Credits: 95 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BA501C | Management Principles & Organisational Behaviour | Core | 3 | Management Concepts, Planning and Organizing, Directing and Controlling, Organisational Structure, Motivation and Leadership, Teamwork and Conflict Management |
| 21BA502C | Managerial Economics | Core | 3 | Demand and Supply Analysis, Production and Cost Analysis, Pricing Strategies, Market Structures, Macroeconomic Environment, Business Cycles and Policies |
| 21BA503C | Accounting for Managers | Core | 3 | Financial Accounting Principles, Cost Accounting, Management Accounting, Financial Statement Analysis, Budgeting and Variance Analysis, Working Capital Management |
| 21BA504C | Business Statistics & Analytics | Core | 3 | Data Collection and Presentation, Descriptive Statistics, Probability Distributions, Hypothesis Testing, Correlation and Regression Analysis, Introduction to Business Analytics |
| 21BA505C | Legal and Business Environment | Core | 3 | Indian Contract Act, Company Law, Consumer Protection Act, Foreign Exchange Management Act (FEMA), Competition Act, Indian Economic Policy |
| 21BA506C | Business Communication and Soft Skills | Core | 3 | Verbal and Non-Verbal Communication, Presentation Skills, Group Discussion Techniques, Interview Preparation, Business Writing, Negotiation Skills and Etiquette |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BA507C | Financial Management | Core | 3 | Capital Budgeting, Cost of Capital, Capital Structure Theories, Dividend Policy, Working Capital Management, Financial Markets and Institutions |
| 21BA508C | Marketing Management | Core | 3 | Market Segmentation, Targeting, Positioning, Product Management and Life Cycle, Branding Strategies, Pricing Decisions, Distribution Channels, Promotion and Digital Marketing |
| 21BA509C | Human Resource Management | Core | 3 | HR Planning and Recruitment, Selection and Placement, Training and Development, Performance Management, Compensation and Benefits, Employee Relations and HR Analytics |
| 21BA510C | Operations Management | Core | 3 | Production Systems, Capacity Planning, Inventory Management, Quality Management, Supply Chain Management, Lean Operations and Project Management |
| 21BA511C | Research Methodology | Core | 3 | Research Design, Data Collection Methods, Sampling Techniques, Hypothesis Formulation and Testing, Data Analysis and Interpretation, Report Writing and Ethics |
| 21BA512C | Management Information Systems | Core | 3 | Information Systems Concepts, Database Management Systems, Enterprise Systems (ERP), E-commerce and M-commerce, Decision Support Systems, IT Strategy and Governance |
| 21BA601E | Fundamentals of Business Analytics | Elective | 3 | Introduction to Business Analytics, Data Types and Sources, Data Pre-processing and Quality, Descriptive Analytics, Data Visualization, Analytics Tools Overview (Excel, R, Python) |
| 21BA602E | Predictive Analytics | Elective | 3 | Introduction to Predictive Modeling, Regression Techniques, Classification Algorithms, Time Series Analysis, Model Evaluation and Validation, Forecasting Methods |
| 21BA603E | Data Management for Business | Elective | 3 | Database Concepts and Design, Structured Query Language (SQL), Data Warehousing Concepts, ETL Processes, Big Data Technologies (Hadoop, Spark), Data Governance and Security |
| 21BA604E | Marketing Analytics | Elective | 3 | Customer Analytics and Segmentation, Web Analytics, Social Media Analytics, Marketing Campaign Optimization, Pricing Analytics, Marketing Mix Modeling |
| 21BA650P | Summer Internship | Project | 6 |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BA701E | Spreadsheet Modeling for Business Analytics | Elective | 3 | Advanced Excel Functions, Data Tables and Scenario Manager, Goal Seek and Solver, Optimization Models, Monte Carlo Simulation, Decision Analysis with Spreadsheets |
| 21BA702E | Business Intelligence and Data Visualization | Elective | 3 | Business Intelligence Concepts, Data Warehousing and OLAP, Dashboard Design Principles, Data Visualization Tools (Power BI, Tableau), Storytelling with Data, BI Implementation Strategies |
| 21BA703E | Machine Learning for Business Analytics | Elective | 3 | Supervised Learning Algorithms, Unsupervised Learning Algorithms, Ensemble Methods, Deep Learning Introduction, Model Deployment and MLOps, Ethical Considerations in AI |
| 21BA704E | Financial Analytics | Elective | 3 | Risk Analytics and Management, Portfolio Optimization, Credit Scoring Models, Fraud Detection Techniques, Algorithmic Trading Strategies, Predictive Models in Finance |
| 21BA705E | Retail Analytics | Elective | 3 | Customer Segmentation in Retail, Store Performance Analytics, Inventory Optimization, Pricing and Promotion Analytics, Supply Chain Analytics in Retail, Personalization and Loyalty Programs |
| 21BA901A | Audit Course | Audit | 0 | |
| 21BA902M | MOOC | MOOC | 3 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BA801E | Big Data Analytics | Elective | 3 | Big Data Concepts and Challenges, Hadoop Ecosystem (HDFS, MapReduce), Apache Spark for Data Processing, NoSQL Databases, Data Streaming and Real-time Analytics, Cloud Big Data Services |
| 21BA802E | Supply Chain Analytics | Elective | 3 | Demand Forecasting in SCM, Inventory Optimization Models, Logistics and Transportation Analytics, Supply Chain Network Design, Supplier Performance Analytics, Risk Analytics in Supply Chains |
| 21BA803E | Prescriptive Analytics | Elective | 3 | Introduction to Prescriptive Analytics, Optimization Techniques, Simulation Modeling, Decision Analysis, Heuristics and Metaheuristics, Operations Research Methods |
| 21BA804E | Cloud Analytics | Elective | 3 | Cloud Computing Fundamentals, Analytics Services on AWS/Azure/GCP, Serverless Analytics, Data Lake and Data Warehousing in Cloud, Cloud Security for Analytics, Cost Optimization in Cloud Analytics |
| 21BA805E | Analytics for Social Media | Elective | 3 | Social Network Analysis, Sentiment Analysis, Text Mining for Social Media, Influencer Marketing Analytics, Brand Reputation Monitoring, Customer Engagement Metrics |
| 21BA850P | Project Work | Project | 9 |
