Comprehensive Course Structure and Academic Framework
The Bachelor of Business Administration program at Sai Nath University Ranchi is meticulously structured to provide students with a robust foundation in business principles while allowing for specialization through elective courses. The curriculum spans three years, divided into six semesters, with each semester comprising 15-16 credit hours of coursework.
Students begin their academic journey in the first semester with foundational courses that establish essential business knowledge. These include Principles of Management, Business Communication, Introduction to Economics, Quantitative Techniques, and Business Ethics. The second semester builds upon this foundation with core subjects such as Financial Accounting, Organizational Behavior, Marketing Management, Operations Research, and Human Resource Management.
Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
---|---|---|---|---|
Semester 1 | BA-101 | Principles of Management | 3-1-0-4 | None |
BA-102 | Business Communication | 3-1-0-4 | None | |
BA-103 | Introduction to Economics | 3-1-0-4 | None | |
BA-104 | Quantitative Techniques | 3-1-0-4 | Mathematics | |
BA-105 | Business Ethics | 3-1-0-4 | None | |
BA-106 | Introduction to Business Information Systems | 3-1-0-4 | None | |
BA-107 | Business Environment | 3-1-0-4 | None | |
BA-108 | Entrepreneurship and Innovation | 3-1-0-4 | None | |
Semester 2 | BA-201 | Financial Accounting | 3-1-0-4 | Introduction to Economics |
BA-202 | Organizational Behavior | 3-1-0-4 | Principles of Management | |
BA-203 | Marketing Management | 3-1-0-4 | Introduction to Economics | |
BA-204 | Operations Research | 3-1-0-4 | Quantitative Techniques | |
BA-205 | Human Resource Management | 3-1-0-4 | Principles of Management | |
BA-206 | Business Statistics | 3-1-0-4 | Quantitative Techniques | |
BA-207 | Corporate Governance and Ethics | 3-1-0-4 | Business Ethics |
The third semester introduces students to more specialized areas of business through departmental electives. These courses allow students to explore their interests and begin developing expertise in specific domains. Students must select two departmental electives from a list that includes Financial Markets and Institutions, Consumer Behavior, International Business, Supply Chain Management, and Innovation Management.
Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
---|---|---|---|---|
Semester 3 | BA-301 | Corporate Finance | 3-1-0-4 | Financial Accounting |
BA-302 | Marketing Research | 3-1-0-4 | Marketing Management | |
BA-303 | Operations Management | 3-1-0-4 | Operations Research | |
BA-304 | Business Strategy | 3-1-0-4 | Organizational Behavior | |
BA-305 | Human Resource Development | 3-1-0-4 | Human Resource Management | |
BA-306 | Business Analytics | 3-1-0-4 | Business Statistics | |
BA-307 | International Marketing | 3-1-0-4 | Marketing Management | |
BA-308 | Supply Chain Analytics | 3-1-0-4 | Operations Management | |
Semester 4 | BA-401 | Investment Analysis | 3-1-0-4 | Corporate Finance |
BA-402 | Brand Management | 3-1-0-4 | Marketing Research | |
BA-403 | Quality Management | 3-1-0-4 | Operations Management | |
BA-404 | Strategic Management | 3-1-0-4 | Business Strategy | |
BA-405 | Talent Acquisition and Retention | 3-1-0-4 | Human Resource Development | |
BA-406 | Data Mining for Business | 3-1-0-4 | Business Analytics | |
BA-407 | Global Supply Chain Strategy | 3-1-0-4 | Supply Chain Analytics |
The fifth and sixth semesters focus on advanced topics and practical applications. Students engage in comprehensive projects, internships, and capstone experiences that integrate their learning and prepare them for professional roles.
Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
---|---|---|---|---|
Semester 5 | BA-501 | Advanced Corporate Finance | 3-1-0-4 | Investment Analysis |
BA-502 | Consumer Psychology | 3-1-0-4 | Marketing Research | |
BA-503 | Project Management | 3-1-0-4 | Operations Management | |
BA-504 | Business Negotiation | 3-1-0-4 | Business Strategy | |
BA-505 | Leadership and Team Development | 3-1-0-4 | Organizational Behavior | |
BA-506 | Business Intelligence | 3-1-0-4 | Data Mining for Business | |
Semester 6 | BA-601 | Capstone Project | 3-0-0-6 | All core courses |
BA-602 | Entrepreneurship and Innovation | 3-1-0-4 | None | |
BA-603 | Business Consulting Project | 3-0-0-6 | Capstone Project | |
BA-604 | Advanced Strategic Management | 3-1-0-4 | Strategic Management | |
BA-605 | Global Business Challenges | 3-1-0-4 | International Marketing |
Advanced departmental elective courses form a significant component of the curriculum, offering students specialized knowledge in their chosen fields. These courses are designed to provide depth and practical insights into contemporary business challenges.
Departmental Elective Courses - Advanced Level
Corporate Valuation and Mergers & Acquisitions: This course delves into the complex processes of valuing companies, understanding merger and acquisition strategies, and evaluating investment opportunities. Students learn valuation techniques such as DCF analysis, comparable company analysis, and precedent transaction analysis. The course emphasizes real-world case studies from successful corporate transactions, helping students understand how valuation models are applied in practice.
Learning Objectives: Upon completion of this course, students will be able to perform detailed financial analysis of companies, evaluate merger and acquisition opportunities, understand valuation methodologies, and present comprehensive investment recommendations to stakeholders.
Behavioral Finance: This course explores how psychological factors influence financial decision-making processes. Students examine cognitive biases, market anomalies, and behavioral patterns that affect investor behavior and market outcomes. The course integrates theoretical frameworks with practical applications through case studies and simulations.
Learning Objectives: Students will understand the impact of behavioral psychology on financial markets, identify common cognitive biases in investment decisions, develop skills in behavioral analysis, and apply behavioral finance principles to real-world scenarios.
Marketing Analytics: This course focuses on using data-driven approaches to understand consumer behavior, optimize marketing strategies, and measure campaign effectiveness. Students learn advanced analytics tools and techniques for analyzing large datasets and deriving actionable insights for marketing decisions.
Learning Objectives: Students will gain proficiency in statistical analysis of marketing data, apply predictive modeling techniques to forecast consumer behavior, design effective marketing campaigns using data insights, and evaluate marketing performance through advanced analytics.
International Business Strategy: This course examines strategic approaches for operating businesses in global markets. Students explore international expansion strategies, cross-cultural management challenges, and geopolitical factors affecting business operations. The course emphasizes practical applications through case studies of multinational corporations.
Learning Objectives: Students will understand international market entry strategies, analyze cross-cultural management issues, evaluate global business risks, and develop strategic plans for international expansion.
Sustainable Business Models: This course addresses the integration of environmental and social considerations into business practices. Students learn about sustainable development principles, corporate sustainability reporting, and green business strategies. The course emphasizes practical applications through real-world examples from leading organizations.
Learning Objectives: Students will understand sustainable development frameworks, evaluate corporate sustainability initiatives, design environmentally responsible business models, and communicate sustainability concepts to diverse stakeholders.
Business Intelligence and Data Warehousing: This course covers the technical and strategic aspects of business intelligence systems. Students learn about data warehousing concepts, ETL processes, data mining techniques, and business intelligence tools. The course emphasizes practical implementation through hands-on projects.
Learning Objectives: Students will design and implement data warehousing solutions, apply data mining techniques to extract business insights, develop business intelligence dashboards, and evaluate data governance strategies.
Supply Chain Risk Management: This course addresses the identification, assessment, and mitigation of risks in global supply chains. Students learn about risk modeling, contingency planning, and resilience building in supply chain operations. The course emphasizes practical applications through case studies and simulations.
Learning Objectives: Students will identify supply chain risks, develop risk mitigation strategies, design resilient supply chain networks, and evaluate risk management frameworks.
Innovation Management: This course explores the processes and practices of managing innovation within organizations. Students examine innovation strategy development, idea generation techniques, and implementation frameworks for new products and services. The course emphasizes practical applications through real-world examples and projects.
Learning Objectives: Students will develop innovation strategies, implement creative problem-solving approaches, manage innovation portfolios, and evaluate innovation performance metrics.
Cross-Cultural Management: This course examines management practices in diverse cultural contexts. Students explore cultural dimensions, communication styles, and leadership approaches across different societies. The course emphasizes practical applications through case studies and simulations.
Learning Objectives: Students will understand cultural differences in management practices, develop cross-cultural communication skills, adapt leadership approaches to diverse contexts, and manage multicultural teams effectively.
Financial Risk Management: This course covers risk assessment and management techniques for financial institutions and corporations. Students learn about market risk, credit risk, operational risk, and regulatory compliance frameworks. The course emphasizes practical applications through case studies and simulations.
Learning Objectives: Students will assess financial risks using quantitative models, develop risk mitigation strategies, understand regulatory requirements, and evaluate risk management performance.
Project-Based Learning Approach
The department's philosophy on project-based learning is centered around experiential education that bridges the gap between theoretical knowledge and practical application. This approach emphasizes hands-on experience through real-world projects that mirror professional business challenges.
The program includes mandatory mini-projects in each semester from the second year onwards, allowing students to apply their learning in practical scenarios. These projects are designed to develop critical thinking, problem-solving skills, and collaborative work capabilities.
Mini-project structure:
- Each project spans 4-6 weeks with a team of 3-5 students
- Students select projects from a curated list provided by faculty mentors
- Projects are evaluated based on research quality, presentation skills, and practical applicability
- Faculty mentors provide guidance throughout the project lifecycle
- Final presentations are conducted before industry experts and faculty members
The final-year capstone project represents the culmination of students' academic journey. This comprehensive project requires students to address a significant business challenge using integrated knowledge from all previous semesters.
Capstone project components:
- Problem identification and scope definition
- Literature review and theoretical framework development
- Data collection and analysis methodologies
- Solution design and implementation strategies
- Final report writing and presentation preparation
Evaluation criteria for capstone projects:
- Research depth and quality (20%)
- Problem-solving approach (25%)
- Practical applicability of solutions (25%)
- Presentation and communication skills (15%)
- Team collaboration and project management (15%)
The selection process for projects and faculty mentors involves a detailed application procedure where students present their interests and capabilities. Faculty mentors are assigned based on expertise alignment and student preferences, ensuring optimal guidance throughout the project journey.