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MBA in Business Analytics at SRM Institute of Science and Technology (Deemed to be University)
Chengalpattu, Tamil Nadu
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About the Specialization
What is Business Analytics at SRM Institute of Science and Technology (Deemed to be University) Chengalpattu?
This Business Analytics program at Sri Ramaswamy Memorial Institute of Science and Technology focuses on equipping students with advanced analytical techniques and tools to interpret complex data for strategic business decisions. It addresses the growing demand in the Indian market for professionals who can leverage data to drive growth, optimize operations, and gain competitive advantage across various industries like e-commerce, finance, and healthcare. The program differentiates itself by blending theoretical knowledge with practical application in data science.
Who Should Apply?
This program is ideal for fresh graduates from quantitative backgrounds (e.g., engineering, commerce, science) seeking entry into data-driven roles, as well as working professionals looking to upskill in analytics. It also suits career changers aspiring to transition into the fast-evolving field of business intelligence and data science. A strong aptitude for mathematics, statistics, and problem-solving is a valuable prerequisite.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Business Analyst, Data Scientist, Marketing Analyst, or Financial Modeler in top Indian and multinational companies. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals potentially earning INR 15-25 LPA+. The program aligns with industry certifications in tools like Python, R, and Tableau, fostering significant growth trajectories.
Student Success Practices
Foundation Stage
Strengthen Quantitative & Analytical Fundamentals- (Semester 1)
Prioritize subjects like Business Statistics and Managerial Economics. Utilize resources like NPTEL courses on probability and statistics, and practice problem-solving regularly. A solid grasp here is non-negotiable for future business analytics subjects.
Tools & Resources
NPTEL courses, Khan Academy, Practice problem sets
Career Connection
Develops foundational skills crucial for advanced analytics, critical for technical assessment rounds in placements.
Engage with Management Basics Actively- (Semester 1)
Actively participate in discussions for Management Principles, OB, and Accounting for Management. Seek real-world examples to connect concepts. Forming study groups can enhance understanding and critical thinking, which are essential for framing business problems.
Tools & Resources
Case studies, Business journals, Study groups
Career Connection
Builds a holistic business perspective, enabling better contextualization of analytical problems in future roles.
Initiate Professional Networking- (Semester 1)
Attend any introductory departmental or college events, and connect with seniors or alumni in business analytics. Understand their career paths and seek advice on early skill development. This lays the groundwork for future mentorship and career opportunities.
Tools & Resources
LinkedIn, Alumni network events, College career fairs
Career Connection
Opens doors to internships, mentorship, and early career guidance, improving chances for relevant placements.
Intermediate Stage
Develop Early Data Manipulation Skills- (Semester 2)
As you learn Research Methods, start exploring basic data cleaning and visualization using tools like Excel or even introductory Python/R. Look for free online courses on platforms like Kaggle or DataCamp to get hands-on. This proactive learning will ease your transition into advanced analytics subjects.
Tools & Resources
MS Excel, Python (Jupyter Notebooks), RStudio, Kaggle, DataCamp
Career Connection
Provides a head start in practical analytical skills, making you more competitive for internships and entry-level analytical roles.
Seek Industry Exposure (Mini-Projects/Webinars)- (Semester 2)
Look for opportunities to undertake mini-projects or internships related to data collection and basic analysis. Attend industry webinars or workshops on emerging technologies in analytics. This helps bridge theoretical knowledge with practical industry applications.
Tools & Resources
Industry webinars, Company case studies, Departmental mini-projects
Career Connection
Enhances resume with practical experience, demonstrates initiative, and helps in understanding industry expectations for analytics professionals.
Enhance Communication for Business- (Semester 2)
Focus on Business Communication & Negotiation Skills. Practice presenting complex data simply and effectively. Strong communication is key for a Business Analyst to convey insights to non-technical stakeholders, making it a critical skill for placements.
Tools & Resources
Presentation software, Group discussions, Mock interviews
Career Connection
Develops a critical soft skill for analytics roles, where translating technical findings into business insights is highly valued by employers.
Advanced Stage
Master Specialization Tools & Techniques- (Semesters 3-4)
Deep dive into subjects like Data Mining, R Programming, Predictive Modeling, Business Intelligence, Big Data, and Machine Learning. Work on capstone projects, participate in hackathons (e.g., hosted on Analytics Vidhya), and complete relevant certifications (e.g., Google Data Analytics, IBM Data Science). This will build a robust portfolio.
Tools & Resources
Python/R libraries, SQL, Tableau/Power BI, Kaggle Competitions, Coursera/Udemy certifications
Career Connection
Builds an industry-ready skill set and portfolio, making you a strong candidate for specialized business analytics and data science roles.
Leverage Internship & Dissertation for Portfolio Building- (Semesters 3-4)
Maximize your Summer Internship Project (SIP) and Dissertation work. Choose challenging, data-intensive projects. Apply learned analytical techniques to real business problems, ensuring your final reports and presentations are of high quality. These projects are crucial for showcasing your capabilities to potential employers.
Tools & Resources
Real-world datasets, Mentorship from faculty/industry experts, Academic writing guides
Career Connection
Provides tangible proof of your analytical skills and problem-solving abilities, significantly enhancing your value to potential employers and during interviews.
Strategic Career Planning & Interview Preparation- (Semesters 3-4)
Actively engage with the placement cell. Practice mock interviews focusing on analytical case studies, SQL, Python/R, and statistical concepts. Network with professionals in your target companies via LinkedIn. Tailor your resume and cover letters to highlight your specialized skills and projects, aligning them with specific job roles.
Tools & Resources
Placement cell resources, Mock interview platforms, LinkedIn, Company-specific job descriptions
Career Connection
Optimizes your chances of securing desired placements by aligning your skills with industry demand and effectively showcasing your strengths.
Program Structure and Curriculum
Eligibility:
- Bachelor’s degree in any discipline with a minimum of 60% marks.
Duration: 4 semesters / 2 years
Credits: 101 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| P21MG101T | Management Principles and Practices | Core | 4 | Introduction to Management, Planning, Organizing, Staffing, Directing, Controlling |
| P21MG102T | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structures, Pricing Decisions |
| P21MG103T | Accounting for Management | Core | 4 | Introduction to Financial Accounting, Cost Accounting, Management Accounting, Financial Statement Analysis, Budgeting |
| P21MG104T | Organizational Behavior | Core | 4 | Introduction to Organizational Behavior, Individual Behavior, Group Behavior, Leadership Theories, Motivation, Organizational Culture |
| P21MG105T | Business Statistics | Core | 4 | Introduction to Statistics, Probability Distributions, Sampling Techniques, Hypothesis Testing, Correlation and Regression Analysis |
| P21MG106T | Legal Aspects of Business | Core | 3 | Indian Contract Act, Sale of Goods Act, Consumer Protection Act, Company Law, Intellectual Property Rights |
| P21MG107P | Management Simulation Lab | Practical | 2 | Business Simulation Games, Decision Making Exercises, Team Collaboration, Strategic Planning, Problem Solving Scenarios |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| P21MG201T | Operations Management | Core | 4 | Introduction to Operations Management, Process Design and Layout, Production Planning and Control, Quality Management, Inventory Management, Supply Chain Management |
| P21MG202T | Marketing Management | Core | 4 | Introduction to Marketing, Market Segmentation, Targeting, Positioning, Product Life Cycle and Strategy, Pricing Strategies, Promotion and Distribution Channels |
| P21MG203T | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting, Working Capital Management, Cost of Capital, Dividend Policy |
| P21MG204T | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning and Job Analysis, Recruitment and Selection, Training and Development, Performance Management, Compensation and Benefits |
| P21MG205T | Research Methods for Management | Core | 4 | Introduction to Research, Research Design, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing |
| P21MG206T | Entrepreneurship Development | Core | 3 | Concept of Entrepreneurship, Business Plan Formulation, Funding for Startups, Legal Aspects of Business, Marketing for New Ventures, Innovation and Creativity |
| P21MG207P | Business Communication & Negotiation Skills | Practical | 2 | Verbal and Non-verbal Communication, Presentation Skills, Report Writing, Interpersonal Communication, Negotiation Strategies, Business Etiquette |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| P21MG301T | Strategic Management | Core | 4 | Introduction to Strategic Management, Strategic Analysis, Strategy Formulation, Strategy Implementation, Strategic Control, Corporate Governance |
| P21MG302T | Information Systems for Management | Core | 4 | Introduction to Information Systems, Database Management Systems, Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), E-business and E-commerce, IT Security and Ethics |
| P21MG303T | Project Management | Core | 4 | Introduction to Project Management, Project Planning and Scheduling, Project Organization and Teams, Risk Management, Project Execution and Control, Project Closure |
| P21BA301T | Data Mining for Business Decisions | Elective | 4 | Introduction to Data Mining, Data Preprocessing and Exploration, Classification Algorithms, Clustering Techniques, Association Rule Mining, Text Mining and Web Mining |
| P21BA302T | R Programming for Business Analytics | Elective | 4 | R Environment and Basics, Data Structures in R, Data Manipulation with dplyr, Statistical Graphics with ggplot2, Writing Functions in R, Connecting to Databases |
| P21BA303T | Predictive Modeling for Business Analytics | Elective | 4 | Introduction to Predictive Modeling, Linear and Logistic Regression, Time Series Analysis, Decision Trees and Random Forests, Model Evaluation Metrics, Ensemble Methods |
| P21MG304P | Summer Internship Project | Project | 3 | Industry Exposure, Problem Identification, Data Collection and Analysis, Report Writing, Presentation Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| P21MG401T | International Business Management | Core | 4 | Introduction to International Business, Theories of International Trade, Foreign Exchange Markets, International Marketing Strategies, Global Human Resource Management, Cross-cultural Management |
| P21BA401T | Business Intelligence & Data Warehousing | Elective | 4 | Introduction to Business Intelligence, Data Warehousing Concepts, ETL Process (Extract, Transform, Load), Online Analytical Processing (OLAP), BI Reporting Tools, Designing Dashboards |
| P21BA402T | Big Data Analytics | Elective | 4 | Introduction to Big Data, Hadoop Ecosystem, MapReduce Framework, Spark for Data Processing, NoSQL Databases, Stream Processing |
| P21BA403T | Machine Learning for Business Decisions | Elective | 4 | Introduction to Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Reinforcement Learning Basics, Model Deployment and MLOps, Ethical Considerations in AI |
| P21MG402P | Dissertation / Project Work | Project | 8 | Research Problem Definition, Literature Review, Methodology Design, Data Collection and Analysis, Findings and Discussion, Report Writing and Presentation |
