This module provides a foundation in microeconomic principles, examining the behavior of firms and consumers in various market structures. Students learn how prices are determined, how resources are allocated, and how market dynamics influence business decision-making. The course covers theoretical frameworks for analyzing market competition, consumer preferences, and firm strategies.

This module examines macroeconomic theories, policies, and global economic trends that affect business operations. Students analyze key economic indicators, monetary and fiscal policies, international trade dynamics, and economic growth patterns. The course provides tools to interpret economic data and forecasts, enabling managers to make informed strategic decisions in a global economic environment.

This module equips students with statistical methods essential for data-driven business decisions. The curriculum covers probability theory, sampling techniques, descriptive statistics, inferential analysis, and hypothesis testing. Students learn to apply these concepts to real business scenarios, interpret statistical outputs, and transform quantitative data into actionable business insights for improved managerial decision-making.

This module explores the dynamics of human behavior within organizational settings. Students examine theories of motivation, leadership styles, team dynamics, organizational culture, conflict management, and change processes. The course emphasizes practical approaches to enhance employee engagement, build effective teams, manage workplace conflicts, and successfully implement organizational change initiatives to create productive and positive work environments.

This module develops proficiency in interpreting and analyzing corporate financial statements. Students learn techniques to evaluate balance sheets, income statements, cash flow statements, and related financial disclosures. The course covers ratio analysis, trend assessment, comparative analysis, and forecasting methods to assess company performance, financial health, investment potential, and creditworthiness across different industries and business models.

This module focuses on designing, managing, and improving business operations to create value and competitive advantage. Students explore process analysis, capacity management, quality control systems, supply chain optimization, inventory management, and operational performance metrics. The course emphasizes both theoretical frameworks and practical tools for enhancing operational efficiency, quality, responsiveness, and overall business performance in manufacturing and service contexts.

This module covers strategic human resource management practices for effective talent acquisition and development. Students learn recruitment strategies, selection methodologies, performance management systems, compensation planning, and employee development frameworks. The course addresses both theoretical foundations and practical applications of HR processes to attract, retain, and optimize human capital while aligning personnel strategies with organizational goals and creating positive workplace cultures.

This module explores cutting-edge technologies transforming the business landscape. Students examine fintech innovations, blockchain applications, cryptocurrency developments, and artificial intelligence implementation across industries. The course analyzes how these technologies disrupt traditional business models, create new market opportunities, and require strategic adaptation. Students develop the ability to evaluate technological innovations for organizational implementation and competitive advantage in an increasingly digital business environment.

This module develops frameworks for formulating and implementing organizational strategy. Students conduct comprehensive external environment analyses (industry structure, competitive dynamics, market trends) and internal organizational assessments (resources, capabilities, competencies). The course integrates these analyses to formulate effective competitive strategies, evaluate strategic alternatives, and design implementation approaches. Students develop strategic thinking skills applicable across functional areas to create sustainable competitive advantage in diverse business contexts.

This module builds essential spreadsheet skills for business analysis and decision support. Students develop proficiency in spreadsheet applications for data organization, analysis, visualization, and modeling. The course covers formula creation, function application, data manipulation, pivot tables, scenario analysis, and dashboard development. Students learn to transform raw data into meaningful business insights, financial models, and management reporting tools to support evidence-based decision-making across business functions.

This module provides a comprehensive foundation in marketing principles and practices. Students explore market analysis, consumer behavior, segmentation strategies, targeting approaches, positioning concepts, and marketing mix decisions. The course covers both marketing research methodologies and strategic marketing planning processes. Students learn to develop integrated marketing strategies that deliver customer value, build brand equity, and generate sustainable competitive advantage in dynamic market environments across diverse industries and business models.

This module provides frameworks for financial decision-making and asset valuation. Students analyze various financial instruments (stocks, bonds, derivatives), capital budgeting techniques, financing options, and capital structure decisions. The course explores mergers and acquisitions processes, including valuation methods, deal structuring, due diligence procedures, integration strategies, and post-merger performance assessment. Students develop analytical skills to optimize financial resources and create shareholder value through strategic financial management and corporate restructuring activities.

This module examines financial markets, instruments, and investment theories. Students explore capital market structures, financial intermediaries, asset classes, and trading mechanisms. The course covers portfolio selection models, diversification principles, risk management approaches, and asset pricing theories (CAPM, APT, factor models). Students develop analytical frameworks for security selection, portfolio construction, performance evaluation, and risk-adjusted return optimization within the context of global financial markets and changing economic conditions.

This module explores ethical dimensions of business decisions and corporate social responsibility frameworks. Students examine diverse ethical perspectives, cultural variations, and moral reasoning approaches relevant to the Indian business context. The course addresses ethical challenges in various functional areas, stakeholder management considerations, and corporate governance practices. Students develop frameworks for ethical decision-making that balance profit objectives with social responsibility, environmental sustainability, and stakeholder interests to build organizations that create both economic and social value.

This module explores artificial intelligence applications and strategic implications for business. Students examine AI technologies, machine learning algorithms, natural language processing, computer vision, and predictive analytics across industries. The course covers both practical AI implementation approaches and strategic frameworks for developing AI initiatives. Students learn to identify AI opportunities, evaluate implementation challenges, manage ethical considerations, and develop comprehensive AI strategies that enhance operational efficiency, customer experience, and competitive positioning in a digital business environment.

This module develops Python programming skills for business data analysis. Students learn Python fundamentals, data structures, libraries (NumPy, Pandas, Matplotlib, Scikit-learn), and analytical techniques for business applications. The course covers data preparation, exploratory analysis, statistical modeling, machine learning basics, and data visualization. Students gain hands-on experience applying Python analytics to real business problems, developing the technical foundation needed to derive actionable insights from complex business data and support data-driven decision-making across organizational functions.

This integrated module provides hands-on learning experiences across the program duration. The business communication component develops written, verbal, and presentation skills essential for managerial effectiveness, including professional writing, negotiation techniques, and executive presentations. The capstone project represents the culmination of the MBA experience, requiring students to apply integrated knowledge from across disciplines to analyze complex business situations, develop comprehensive strategic recommendations, and present actionable implementation plans for real-world organizational challenges.

This module examines advanced operational frameworks by exploring quantitative methods for business decision-making, end-to-end supply chain strategy and implementation, data-driven project management techniques, and approaches to optimize service delivery operations and customer experience.