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MBA in Business Analytics at Vellore Institute of Technology
Vellore, Tamil Nadu
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About the Specialization
What is Business Analytics at Vellore Institute of Technology Vellore?
This Business Analytics program at Vellore Institute of Technology focuses on equipping future managers with cutting-edge analytical skills to drive data-informed decision-making. In the rapidly evolving Indian industry, where data is paramount, this specialization is designed to bridge the gap between business acumen and technological proficiency, preparing students for impactful roles in various sectors. The program emphasizes practical application and industry relevance.
Who Should Apply?
This program is ideal for fresh graduates from diverse backgrounds seeking entry into the high-demand field of data science and business intelligence. It also caters to working professionals aiming to upskill their analytical capabilities or transition into roles requiring strong data interpretation skills. Individuals with a keen interest in leveraging data for strategic business advantage and a foundational understanding of quantitative methods will thrive in this curriculum.
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. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals commanding significantly higher packages. The program aligns with professional certifications like those from Microsoft or Google in data analytics, accelerating growth trajectories in Indian and global companies operating in India, including IT, banking, and e-commerce.
Student Success Practices
Foundation Stage
Master Core Business Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand foundational MBA subjects like Managerial Economics, Accounting, and Marketing. These provide the essential business context crucial for effective application of analytics. Utilize VIT''''s library resources and peer study groups to solidify comprehension.
Tools & Resources
VIT Library resources, Academic peer groups, Online business courses (e.g., Coursera)
Career Connection
A strong grasp of business fundamentals ensures that analytical insights are actionable and strategically relevant, making you a more valuable asset in any management role, especially during initial internships and job interviews.
Develop Foundational Statistical & Programming Skills- (Semester 1-2)
Beyond classroom learning, practice statistical concepts using tools like R and Excel. Work on mini-projects from datasets available online to apply statistical programming. Engage with VIT''''s analytics lab facilities and seek guidance from faculty on statistical software.
Tools & Resources
RStudio, Microsoft Excel, Kaggle datasets, GeeksforGeeks for R tutorials
Career Connection
Proficiency in statistical programming and tools is non-negotiable for business analytics roles. Early hands-on experience builds a strong portfolio for internships and demonstrates practical competence to recruiters.
Engage in Communication and Presentation Workshops- (Semester 1-2)
Actively participate in workshops and clubs focused on business communication and presentation skills offered by VITBS. Practice articulating complex analytical findings clearly and concisely, a vital skill for any analytics professional. Seek feedback on mock presentations.
Tools & Resources
Toastmasters International (if local chapter), VIT Communication Lab, Presentation software like PowerPoint/Canva
Career Connection
Effective communication helps translate data insights into business strategies for stakeholders. Strong presentation skills are crucial for project pitches, client interactions, and career advancement in Indian corporate settings.
Intermediate Stage
Build a Portfolio of Analytical Projects- (Semester 3-4)
Start building a robust portfolio of projects using real-world datasets, focusing on specific business problems. Collaborate with peers or faculty on projects related to data warehousing, data mining, and RDBMS. Showcase these on platforms like GitHub or LinkedIn.
Tools & Resources
GitHub, LinkedIn, Kaggle competitions, Industry case studies
Career Connection
A strong project portfolio is crucial for demonstrating practical skills to potential employers in India, especially for roles requiring specific analytical techniques or tool expertise. It acts as a live resume.
Seek Industry Internships and Live Projects- (Semester 3-4)
Proactively search for internships or live projects in companies specializing in business analytics or having strong data departments. Apply the theoretical knowledge from courses like Machine Learning and Big Data Analytics to solve actual business challenges. Utilize VIT''''s placement cell for opportunities.
Tools & Resources
VIT Placement Cell, Internshala, LinkedIn Jobs, Company career pages
Career Connection
Internships provide invaluable industry exposure, networking opportunities, and a chance to apply specialized skills. They often convert into pre-placement offers, a common route for securing jobs in India.
Participate in Analytics Competitions and Hackathons- (Semester 3-4)
Join national-level analytics competitions, hackathons, and case study challenges. This not only hones problem-solving skills under pressure but also offers exposure to diverse business scenarios and networking with industry professionals. VIT often hosts or promotes such events.
Tools & Resources
Analytics Vidhya, Kaggle Competitions, Datathon platforms, VIT Tech Clubs
Career Connection
Winning or even participating in such events adds significant weight to your resume, showcasing your passion, problem-solving abilities, and teamwork, which are highly valued in the Indian analytics job market.
Advanced Stage
Deepen Specialization in Advanced Analytics- (Semester 3-4)
Focus on mastering advanced subjects like Machine Learning, Predictive Analytics, and Business Intelligence. Work on a capstone project that integrates multiple analytical techniques to solve a complex business problem. Consider pursuing relevant certifications in Python, Tableau, or advanced ML.
Tools & Resources
Python libraries (scikit-learn, TensorFlow), Tableau/Power BI, NPTEL courses, Online certifications
Career Connection
Advanced specialization makes you a subject matter expert, opening doors to higher-paying and more strategic roles in data science and analytics firms, particularly in the competitive Indian tech and consulting sectors.
Network Strategically and Personal Branding- (Semester 3-4)
Actively network with alumni, industry leaders, and recruiters through LinkedIn, industry conferences, and VIT alumni events. Develop a strong personal brand by regularly sharing insights, articles, or project updates on professional platforms. Seek mentorship from senior analytics professionals.
Tools & Resources
LinkedIn, Industry conferences (e.g., NASSCOM events), Alumni meetups
Career Connection
Strategic networking is vital for discovering hidden job opportunities and gaining insights into industry trends. A strong personal brand positions you as a thought leader and attracts recruiters, improving placement prospects significantly.
Prepare Rigorously for Placements and Interviews- (Semester 3-4)
Engage in mock interviews, aptitude tests, and group discussions organized by the VIT placement cell. Practice coding challenges for data science roles and refine your resume and cover letter to highlight analytical achievements and industry-specific skills relevant to Indian companies.
Tools & Resources
VIT Placement Training Programs, Mock interview platforms, Aptitude test preparation sites, Resume builders
Career Connection
Thorough preparation is critical for securing top placements. Mastering interview skills, technical questions, and behavioral responses ensures you can effectively showcase your capabilities to leading Indian and global companies recruiting from VIT.
Program Structure and Curriculum
Eligibility:
- Any undergraduate degree with a minimum of 60% marks. Valid scores in CAT/XAT/MAT/NMAT/GMAT/CMAT/ATMA. Relevant work experience is an added advantage. Final year students can also apply.
Duration: 4 semesters / 2 years
Credits: 85 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MGT5001 | Management Perspectives | Core | 3 | Fundamentals of Management, Evolution of Management Thought, Managerial Roles and Functions, Organizational Structure and Design, Ethics and Corporate Governance |
| MGT5002 | Managerial Economics | Core | 3 | Demand and Supply Analysis, Production and Cost Theory, Market Structures and Pricing Strategies, Macroeconomic Indicators, Business Cycles and Policy |
| MGT5003 | Accounting for Managers | Core | 3 | Financial Accounting Principles, Preparation of Financial Statements, Cost Accounting Concepts, Budgeting and Variance Analysis, Financial Statement Analysis |
| MGT5004 | Organizational Behaviour | Core | 3 | Individual Behaviour in Organizations, Group Dynamics and Teamwork, Leadership Theories and Styles, Motivation and Job Satisfaction, Organizational Culture and Change |
| MGT5005 | Business Statistics | Core | 3 | Descriptive Statistics, Probability Distributions, Sampling and Estimation, Hypothesis Testing, Regression Analysis |
| MGT5006 | Research Methods for Management | Core | 3 | Research Design and Process, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing and Presentation |
| MGT5007 | Business Communication and Report Writing | Core | 2 | Principles of Business Communication, Written Communication Skills, Oral Communication and Presentations, Report Writing Formats, Cross-cultural Communication |
| MGT5008 | Business Law | Core | 3 | Indian Contract Act, Company Law Fundamentals, Consumer Protection Act, Intellectual Property Rights, Cyber Laws and Business |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MGT5009 | Operations Research | Core | 3 | Linear Programming, Transportation and Assignment Problems, Queuing Theory, Simulation Techniques, Decision Theory |
| MGT5010 | Financial Management | Core | 3 | Time Value of Money, Capital Budgeting Decisions, Working Capital Management, Cost of Capital, Dividend Policy |
| MGT5011 | Marketing Management | Core | 3 | Marketing Environment Analysis, Consumer Behaviour, Product and Brand Management, Pricing Strategies, Promotion and Distribution Channels |
| MGT5012 | Human Resource Management | Core | 3 | HR Planning and Recruitment, Training and Development, Performance Management, Compensation and Benefits, Employee Relations |
| MGT5013 | Operations Management | Core | 3 | Production Planning and Control, Inventory Management, Quality Management, Supply Chain Management, Process Design and Layout |
| MGT5014 | Quantitative Techniques in Management | Core | 3 | Probability and Decision Making, Statistical Inference, Time Series Analysis, Non-parametric Tests, Multivariate Analysis |
| MGT5015 | Management Information Systems | Core | 3 | Role of IT in Business, Database Management Systems, Enterprise Resource Planning, E-business and E-commerce, Information Security and Control |
| MGT5016 | Entrepreneurship Development | Core | 2 | Entrepreneurial Process, Idea Generation and Feasibility Analysis, Business Plan Development, Funding for Startups, Legal Aspects of Entrepreneurship |
| MGT5017 | Business Ethics & Corporate Social Responsibility | Core | 2 | Ethical Theories in Business, Ethical Decision Making, Corporate Governance, CSR Initiatives and Reporting, Stakeholder Management |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MGT6001 | Project Work | Core | 6 | Problem Identification and Formulation, Literature Review and Research Design, Data Collection and Analysis, Interpretation of Results, Report Writing and Presentation |
| BA5001 | Foundations of Business Analytics | Elective | 3 | Introduction to Business Analytics, Data Types and Sources, Descriptive Analytics Techniques, Data Visualization Fundamentals, Analytical Problem-Solving Frameworks |
| BA5002 | Data Warehousing and Data Mining | Elective | 3 | Data Warehousing Concepts, ETL Processes, Data Mining Techniques, Association Rule Mining, Clustering and Classification |
| BA5003 | RDBMS and Data Modeling | Elective | 3 | Relational Database Concepts, SQL Querying and Data Manipulation, Database Design and Normalization, Entity-Relationship Modeling, Data Integrity and Security |
| BA5004 | Statistical Programming with R | Elective | 3 | Introduction to R Programming, Data Structures in R, Data Import and Export, Statistical Analysis with R, Data Visualization with ggplot2 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MGT6002 | Internship | Core | 10 | Industry Problem Solving, Application of Analytical Tools, Report Writing on Project, Presentation of Findings, Professional Networking |
| BA5005 | Machine Learning for Business Analytics | Elective | 3 | Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Evaluation and Validation, Decision Trees and Random Forests, Neural Networks Fundamentals |
| BA5006 | Big Data Analytics | Elective | 3 | Big Data Concepts and Challenges, Hadoop Ecosystem (HDFS, MapReduce), Spark for Big Data Processing, NoSQL Databases, Stream Processing |
| BA5007 | Predictive Analytics | Elective | 3 | Time Series Forecasting, Regression Models for Prediction, Classification Models, Survival Analysis, Model Deployment and Monitoring |
| BA5008 | Business Intelligence and Data Visualization | Elective | 3 | Business Intelligence Frameworks, Dashboards and Scorecards, Advanced Data Visualization Tools, Storytelling with Data, BI Strategy and Implementation |
