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MBA in Business Analytics at Greater Noida Institute of Technology
Gautam Buddha Nagar, Uttar Pradesh
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About the Specialization
What is Business Analytics at Greater Noida Institute of Technology Gautam Buddha Nagar?
This Business Analytics program at Greater Noida Institute of Technology focuses on equipping students with advanced skills in data analysis, statistical modeling, and machine learning to drive informed business decisions. In the rapidly digitizing Indian economy, this specialization is critical for translating complex data into actionable insights, a key differentiator for modern management professionals. It addresses the growing industry demand for data-savvy managers across sectors.
Who Should Apply?
This program is ideal for fresh graduates from diverse backgrounds seeking entry into the high-growth field of data-driven management. It also caters to working professionals aiming to upskill in analytics, enhancing their current roles or transitioning into strategic data-focused positions. Individuals with a strong aptitude for quantitative analysis and problem-solving, irrespective of prior technical degrees, will find this program rewarding.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative career paths in India as Business Analysts, Data Scientists, Management Consultants, and Market Research Analysts. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program aligns with industry needs, preparing students for roles in e-commerce, finance, manufacturing, and IT services, contributing to India''''s digital transformation journey.
Student Success Practices
Foundation Stage
Solidify Quantitative Foundations- (Semester 1-2)
Actively engage with core subjects like Business Statistics and Operations Research. Solve problems diligently from textbooks and online resources. Form study groups to discuss concepts and tackle challenging assignments, ensuring a strong grasp of quantitative methods crucial for analytics.
Tools & Resources
Khan Academy, NPTEL courses on Statistics, Previous year''''s question papers
Career Connection
A strong base in statistics and operations research is fundamental for understanding advanced analytical models, which is a key skill for a Business Analyst role.
Develop Foundational Data Skills- (Semester 1-2)
Begin exploring basic data analysis tools early. Learn Excel extensively for data manipulation and visualization. Consider an introductory course in Python or R for data handling. Participate in workshops on data presentation and basic dashboarding.
Tools & Resources
Microsoft Excel, Free online courses on Python/R basics (e.g., Coursera, Udemy), Tableau Public for data visualization
Career Connection
Proficiency in basic data tools makes students immediately productive in internship roles and sets the stage for advanced analytics techniques required by Indian firms.
Cultivate Critical Thinking and Problem-Solving- (Semester 1-2)
Participate actively in case study discussions and group projects, focusing on identifying problems and proposing data-driven solutions. Read business newspapers and analytical articles to understand how data impacts real-world decisions in the Indian context.
Tools & Resources
Harvard Business Review cases, The Economic Times, Business news podcasts
Career Connection
Employers in India seek managers who can not only analyze data but also interpret it to solve business problems, a skill honed through critical thinking.
Intermediate Stage
Master Specialized Analytics Tools- (Semester 3-4)
Deep dive into tools specific to Business Analytics, such as SQL for database management, advanced Excel for financial modeling, and specialized statistical software like SPSS or R/Python for data mining. Obtain certifications in these tools if available.
Tools & Resources
SQLZoo, DataCamp, Kaggle for datasets and practice, Official documentation for R/Python libraries (pandas, numpy, scikit-learn)
Career Connection
Expertise in these tools is directly sought after by companies for roles in data analytics, enabling students to handle complex datasets and build predictive models.
Engage in Live Projects & Internships- (Semester 3-4)
Actively seek out and participate in internships, live projects, or consulting assignments with companies in the analytics domain. Focus on applying learned concepts to real business problems, building a portfolio of practical experience.
Tools & Resources
College placement cell, LinkedIn, Company career pages, Industry meetups
Career Connection
Practical experience is invaluable for placements, demonstrating direct applicability of skills to Indian industry challenges and often leading to pre-placement offers.
Network with Industry Professionals- (Semester 3-4)
Attend industry seminars, webinars, and workshops on Business Analytics, both organized by GNIOT and external bodies. Connect with alumni and professionals on platforms like LinkedIn to gain insights into industry trends and potential career opportunities in India.
Tools & Resources
LinkedIn, Industry associations (e.g., NASSCOM), GNIOT alumni network events
Career Connection
Networking can open doors to mentorship, job referrals, and a better understanding of the evolving analytics landscape, crucial for navigating the competitive Indian job market.
Advanced Stage
Develop a Capstone Project Portfolio- (Semester 3-4)
Undertake a significant capstone project (or use the mandatory Summer Internship/Project) that solves a real-world business problem using advanced analytics techniques. Document the project thoroughly, highlighting methodologies, results, and business impact.
Tools & Resources
Project management software (Jira, Trello), GitHub for code repository, Presentation tools (PowerPoint, Google Slides)
Career Connection
A well-executed project demonstrates problem-solving abilities and practical application of analytics, serving as a powerful resume builder and interview talking point for leading Indian and global firms.
Prepare for Analytics-Specific Interviews- (Semester 3-4)
Practice quantitative aptitude, logical reasoning, and case study analysis relevant to analytics roles. Focus on explaining analytical concepts clearly and articulating project experiences. Prepare for technical questions related to statistical models, programming, and database queries.
Tools & Resources
Online mock interview platforms, Specific interview preparation guides for analytics roles, GNIOT career services
Career Connection
Targeted interview preparation is crucial for successfully clearing interviews for Business Analyst, Data Scientist, and Consultant roles in India''''s competitive job market.
Stay Updated with Emerging Technologies- (Semester 3-4)
Continuously learn about new trends and technologies in the analytics and AI space, such as ethical AI, cloud analytics platforms (AWS, Azure, GCP), and advanced machine learning models. Attend workshops and complete micro-certifications to stay competitive.
Tools & Resources
Industry blogs (e.g., Towards Data Science), Gartner reports, Coursera/edX courses on emerging tech, Tech news platforms
Career Connection
Demonstrating knowledge of current and future trends makes candidates highly desirable, as Indian companies rapidly adopt new technologies to gain a competitive edge.
Program Structure and Curriculum
Eligibility:
- Passed Bachelor’s Degree of minimum 3 years duration. Obtained at least 50% marks (45% in case of candidate belonging to reserved category) in the qualifying Examination.
Duration: 2 years (4 semesters)
Credits: 96 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| KMB101 | Management Concepts and Organizational Behavior | Core | 4 | Introduction to Management, Planning & Organizing, Directing & Controlling, Organizational Behavior, Individual Behavior, Group Dynamics, Leadership |
| KMB102 | Managerial Economics | Core | 4 | Nature of Managerial Economics, Demand Analysis, Production and Cost Analysis, Market Structure, Pricing Decisions, Capital Budgeting |
| KMB103 | Business Environment | Core | 4 | Economic Environment, Political & Legal Environment, Socio-Cultural Environment, Technological Environment, Global Environment, Ethics & Corporate Social Responsibility |
| KMB104 | Business Statistics | Core | 4 | Data Collection & Presentation, Measures of Central Tendency & Dispersion, Probability, Probability Distributions, Sampling & Estimation, Hypothesis Testing |
| KMB105 | Accounting for Management | Core | 4 | Financial Accounting Concepts, Journal, Ledger, Trial Balance, Financial Statements, Cost Accounting, Budgeting, Working Capital Management |
| KMB106 | Business Communication | Core | 4 | Communication Process, Types of Communication, Oral Communication, Written Communication, Non-Verbal Communication, Presentation Skills, Report Writing |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| KMB201 | Organizational Structure & Design | Core | 4 | Foundations of Structure, Organizational Design Approaches, Power and Politics, Conflict Management, Change Management, Organizational Development Interventions |
| KMB202 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting, Capital Structure, Working Capital Management, Dividend Policy |
| KMB203 | Marketing Management | Core | 4 | Marketing Concepts, Marketing Environment, Consumer Behavior, Market Segmentation, Product Decisions, Pricing Decisions, Promotion Decisions, Place Decisions |
| KMB204 | Human Resource Management | Core | 4 | Human Resource Management Functions, HR Planning, Recruitment & Selection, Training & Development, Performance Management, Compensation Management, Industrial Relations |
| KMB205 | Operations Management | Core | 4 | Production System, Facility Location & Layout, Production Planning & Control, Inventory Management, Quality Management, Project Management |
| KMB206 | Business Research Methods | Core | 4 | Research Process, Research Design, Sampling Design, Data Collection Methods, Data Analysis, Report Writing, Ethical Issues in Research |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| KMB301 | Legal Aspects of Business | Core | 4 | Indian Contract Act, Sale of Goods Act, Negotiable Instruments Act, Companies Act, Consumer Protection Act, Intellectual Property Rights |
| KMB302 | Strategic Management | Core | 4 | Strategic Management Process, Environmental Scanning, Strategy Formulation, Strategy Implementation, Strategy Evaluation & Control |
| KMB303 | Operations Research | Core | 4 | Introduction to Operations Research, Linear Programming, Transportation Problem, Assignment Problem, Queuing Theory, Simulation, Decision Theory |
| KMB304 | Management Information System | Core | 4 | Information Systems, E-commerce, Database Management, ERP, CRM, SCM, Decision Support Systems, Artificial Intelligence & Expert Systems, Information Systems Security |
| KMBBA01 | Fundamentals of Business Analytics | Elective (Business Analytics) | 4 | Introduction to Business Analytics, Data Mining, Predictive Analytics, Prescriptive Analytics, Big Data Concepts, Data Visualization, Business Intelligence |
| KMBBA02 | Data Mining for Business Decisions | Elective (Business Analytics) | 4 | Data Mining Process, Data Preprocessing, Classification Techniques, Clustering Techniques, Association Rule Mining, Text Mining, Web Mining |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| KMB401 | Entrepreneurship Development | Core | 4 | Entrepreneurial Process, Business Idea Generation, Business Plan, Funding for Startups, Legal Aspects of Entrepreneurship, Marketing for Start-ups, Managing Growth |
| KMB402 | International Business Management | Core | 4 | International Business Environment, International Trade Theories, Foreign Direct Investment, International Financial Management, Global Marketing Strategies, Cross-Cultural Management |
| KMBBA03 | Predictive Modeling for Business | Elective (Business Analytics) | 4 | Regression Analysis, Time Series Forecasting, Logistic Regression, Decision Trees, Neural Networks, Model Evaluation Metrics, Machine Learning Applications |
| KMBBA04 | Big Data Analytics | Elective (Business Analytics) | 4 | Big Data Ecosystem, Hadoop Framework, Apache Spark, NoSQL Databases, Data Warehousing Concepts, Data Lake Architecture, Stream Processing, Real-time Analytics, Data Security |
| KMB451 | Summer Internship / Project Report | Project | 8 | Problem Identification, Literature Review, Research Methodology, Data Collection & Analysis, Findings and Recommendations, Report Writing, Project Presentation, Viva-Voce Examination |
