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MBA in Business Analytics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Thiruvallur, Tamil Nadu
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About the Specialization
What is Business Analytics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Thiruvallur?
This Business Analytics program at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology focuses on equipping future managers with data-driven decision-making skills. India''''s rapidly expanding digital economy and technology adoption create immense demand for professionals who can interpret complex data to derive actionable insights, making this specialization highly relevant for diverse industry roles.
Who Should Apply?
This program is ideal for fresh graduates from any discipline seeking entry into the data-driven business landscape, as well as working professionals looking to upskill in analytics for career advancement. Individuals with a keen interest in statistics, problem-solving, and technology, aiming to transition into analytics or enhance their current managerial roles, will find this program beneficial.
Why Choose This Course?
Graduates of this program can expect to secure roles such as Data Analyst, Business Intelligence Consultant, Predictive Modeler, or Analytics Manager in Indian and global companies. Entry-level salaries typically range from INR 4-7 lakhs per annum, with significant growth potential up to INR 15+ lakhs for experienced professionals. The curriculum prepares students for industry certifications like those from SAS, R, or Python.
Student Success Practices
Foundation Stage
Master Core Business & Statistics- (Semester 1-2)
Diligently focus on foundational subjects like Business Statistics, Accounting for Management, and the introductory Business Analytics course. These form the bedrock for advanced analytics, enabling a comprehensive understanding of business problems before applying data techniques.
Tools & Resources
Vel Tech''''s library resources, Online courses (Coursera, NPTEL) for statistics, Practice problems in R or Excel
Career Connection
Strong fundamentals are crucial for understanding business problems and data context, essential for any analytics role and effective decision-making.
Develop Problem-Solving Aptitude- (Semester 1-2)
Actively participate in case studies, group discussions, and assignments across all subjects. Practice breaking down complex business problems into manageable analytical tasks and identifying key data points for resolution.
Tools & Resources
Harvard Business Review cases, Vel Tech''''s case study competitions, Online critical thinking exercises
Career Connection
Recruiters highly value analytical thinking and systematic problem-solving abilities in data-driven roles, demonstrating readiness for real-world challenges.
Initiate Software Proficiency (Excel & R/Python)- (Semester 1-2)
Start familiarising with basic data analysis tools, especially advanced Excel functions and introductory programming in R or Python. This early exposure helps in visualizing data and performing basic statistical analysis.
Tools & Resources
Microsoft Excel, RStudio, Anaconda (for Python), Free online tutorials (DataCamp, edX)
Career Connection
Early software exposure builds a strong technical base, making future specialization subjects easier and enhancing prospects for internships and entry-level positions.
Intermediate Stage
Deep Dive into Specialization Electives- (Semester 3)
Dedicate significant effort to Advanced Business Statistics, Data Mining for Business Decisions, and Predictive Modelling. Understand the underlying algorithms, their applications, and limitations through hands-on practice sessions.
Tools & Resources
SAS, SPSS, Python libraries (Scikit-learn, Pandas), R packages (dplyr, ggplot2), Vel Tech labs
Career Connection
Mastery of these tools and techniques directly qualifies students for specialized analytics roles such as data scientist or business intelligence developer.
Engage in Industry Projects & Internships- (Semester 3)
Actively seek out the Industry Project (23MBA303) and external internships in analytics roles. Apply theoretical knowledge to real-world business challenges, gaining practical experience and industry insights.
Tools & Resources
Vel Tech''''s placement cell, LinkedIn for internship searches, Industry contacts and project mentors
Career Connection
Practical experience is invaluable for placements, demonstrating direct applicability of skills to potential employers and building a professional network.
Network and Participate in Competitions- (Semester 3-4)
Attend industry webinars, workshops, and analytics conferences to connect with professionals. Participate in hackathons and data science competitions like those on Kaggle to hone skills and build a portfolio.
Tools & Resources
Vel Tech alumni network, Professional platforms (LinkedIn), Kaggle, Analytics Vidhya
Career Connection
Networking opens doors to opportunities, and competitions enhance resumes and showcase problem-solving prowess to potential recruiters.
Advanced Stage
Excel in Master''''s Thesis & Advanced Analytics- (Semester 4)
Focus intensely on the Master''''s Thesis (23MBA401), applying advanced analytics skills to a significant research problem. Demonstrate independent research and analytical capabilities using advanced data and Big Data tools.
Tools & Resources
Hadoop, Spark, NoSQL databases, Cloud platforms (AWS, Azure), Vel Tech research supervisors
Career Connection
A strong thesis is a powerful portfolio piece for showcasing expertise, research potential, and independent problem-solving abilities to prospective employers.
Intensive Placement Preparation- (Semester 4)
Engage in mock interviews, resume building, and aptitude test preparation specific to analytics roles. Practice coding challenges, data interpretation, and case interview scenarios to refine interview skills.
Tools & Resources
Vel Tech career services, Online aptitude platforms (TalentSprint, PrepInsta), Glassdoor for company-specific interview insights
Career Connection
Targeted and thorough placement preparation significantly increases the chances of securing desired analytics positions in leading Indian and global companies.
Continuous Skill Upgradation & Portfolio Building- (Semester 4 and beyond)
Stay updated with emerging analytics trends (e.g., AI/ML, Generative AI in business). Continuously build and refine a portfolio of projects (from courses, internships, thesis) demonstrating diverse skills and real-world impact.
Tools & Resources
Online certifications (IBM, Google Analytics), GitHub for project hosting, Personal website/blog, Industry journals
Career Connection
A dynamic skill set and a robust, well-presented portfolio are critical for long-term career growth, adaptability, and standing out in the fast-evolving analytics field.
Program Structure and Curriculum
Eligibility:
- A pass in any Bachelor''''s Degree of minimum 3 years duration with 50% (45% for SC/ST/PWD) marks from a recognized university.
Duration: 2 years (4 semesters)
Credits: Minimum 90 credits (up to 91 with optional Open Elective) Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MBA101 | Management Principles and Practices | Core | 3 | Introduction to Management, Planning, Organizing, Directing, Controlling, Management Functions |
| 23MBA102 | Organisational Behaviour | Core | 3 | Individual Behaviour, Group Dynamics, Motivation, Leadership, Organizational Culture, Conflict Management |
| 23MBA103 | Managerial Economics | Core | 3 | Demand and Supply Analysis, Production and Cost Analysis, Market Structures, Pricing Strategies, Macroeconomics |
| 23MBA104 | Accounting for Management | Core | 3 | Financial Accounting Basics, Cost Accounting, Budgeting, Financial Statement Analysis, Ratio Analysis |
| 23MBA105 | Business Statistics | Core | 3 | Data Analysis, Probability, Sampling, Hypothesis Testing, Correlation, Regression |
| 23MBA106 | Legal Aspects of Business | Core | 3 | Indian Contract Act, Company Law, Sale of Goods Act, Consumer Protection, Intellectual Property |
| 23MBA107 | IT for Managers | Core | 3 | Hardware & Software, Database Management, Networking, E-commerce, Cloud Computing, Cybersecurity |
| 23MBA108 | Professional Skills and Development | Soft Skills | 1 | Communication Skills, Presentation Skills, Group Discussion, Interview Techniques, Personal Grooming |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MBA201 | Marketing Management | Core | 3 | Marketing Environment, Consumer Behavior, Segmentation, Product Life Cycle, Pricing, Promotion |
| 23MBA202 | Financial Management | Core | 3 | Time Value of Money, Capital Budgeting, Working Capital Management, Cost of Capital, Capital Structure |
| 23MBA203 | Human Resource Management | Core | 3 | HR Planning, Recruitment & Selection, Training, Performance Appraisal, Compensation, Industrial Relations |
| 23MBA204 | Operations Management | Core | 3 | Production Systems, Inventory Control, Quality Management, Supply Chain Management, Project Management |
| 23MBA205 | Research Methods for Management | Core | 3 | Research Design, Data Collection Methods, Sampling, Data Analysis, Report Writing |
| 23MBA206 | Business Analytics | Core | 3 | Introduction to Analytics, Data Mining, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Big Data Concepts |
| 23MBA207 | Entrepreneurship and Innovation | Core | 3 | Entrepreneurial Process, Business Plan, Funding, Innovation Ecosystem, Legal Aspects for Startups |
| 23MBA208 | Summer Project | Core | 2 | Problem Definition, Literature Review, Data Collection & Analysis, Findings, Report Writing, Presentation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MBA301 | Business Ethics and Corporate Governance | Core | 3 | Ethical Theories, Corporate Social Responsibility, Corporate Governance Principles, Whistleblowing |
| 23MBA302 | Strategic Management | Core | 3 | Strategic Analysis, Strategy Formulation, Strategy Implementation, Strategic Control, Global Strategy |
| 23MBA303 | Industry Project | Core | 2 | Project Planning, Industry Analysis, Data Gathering, Problem Solving, Report Preparation, Presentation |
| 23MBABA01 | Advanced Business Statistics | Elective (Business Analytics) | 3 | Probability Distributions, Hypothesis Testing, ANOVA, Non-parametric Tests, Multivariate Analysis |
| 23MBABA02 | Data Mining for Business Decisions | Elective (Business Analytics) | 3 | Data Preprocessing, Classification Algorithms, Clustering Algorithms, Association Rules, Decision Trees |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MBABA03 | Predictive Modelling | Elective (Business Analytics) | 3 | Regression Models, Time Series Forecasting, Neural Networks, Ensemble Methods, Model Evaluation |
| 23MBABA04 | Big Data Analytics | Elective (Business Analytics) | 3 | Hadoop Ecosystem, Spark Framework, NoSQL Databases, Data Warehousing, Data Streaming, Cloud-based Analytics |
| 23MBA401 | Master''''s Thesis | Core | 10 | Research Proposal, Extensive Literature Review, Data Collection & Analysis, Advanced Statistical Methods, Thesis Writing, Viva Voce |
