Semester 1

• Financial Accounting: Understanding financial statements and analysis.
• Managerial Accounting: Cost analysis, budgeting, and managerial decision-making.
• Corporate Finance: Fundamentals of finance, including financial strategy and risk management.
• Marketing Management: Marketing strategies, market research, and customer analysis.
• Operations Management: Optimization of supply chain processes, resource management, and efficiency.
• Organizational Behavior: LeaUnderstanding human behavior in organizations, leadership, and teamwork.

Semester 2

• Business Analytics:Introduction to data analytics, data visualization, and statistical methods.
• Data Management and Warehousing: Database design, data modeling, and data warehousing concepts.
• Marketing Analytics:Applying data analytics to marketing strategies and campaigns.
• Business Intelligence: Economic analysis, market structures, and decision-making.
• Managerial Economics: Economic analysis, market structures, and decision-making.
• Strategic Management: Developing and executing business strategies in a competitive environment.

Semester 3

• Predictive Analytics: Advanced statistical modeling and predictive modeling techniques.
• Data Mining: Techniques for discovering patterns and insights in large datasets.
• Advanced Business Intelligence:Advanced BI tools, data visualization, and dashboards.
• Machine Learning for Business: Introduction to machine learning algorithms for data analysis.
• Big Data Analytics: Processing and analyzing large-scale datasets using big data technologies.
• Data Ethics and Privacy: Ethical considerations in data collection, storage, and usage.

Semester 4

• Business Intelligence Capstone Project: A comprehensive project applying BI and analytics concepts to real-world business problems.
• Elective Courses: Students can choose from a range of electives based on their interests, such as text analytics, social media analytics, or industry-specific analytics.
• Advanced Supply Chain Strategy: Developing and implementing supply chain strategies aligned with organizational goals.
• Internship: Optional internship with organizations that use data analytics and business intelligence extensively.
• Data Analytics for Decision-makers: Preparing executives and managers to understand and leverage data analytics.

Capstone Project

Business Analytics Capstone Project: A significant project where students apply data analytics and business intelligence techniques to solve complex business challenges, often in collaboration with industry partners.

• Data Analysis: Proficiency in data analysis techniques, including data cleaning, data transformation, and statistical analysis to extract meaningful insights from complex datasets.
• Data Visualization: The ability to communicate data-driven insights effectively using data visualization tools like Tableau, Power BI, or Excel.
• Statistical Knowledge: A solid understanding of statistics, including hypothesis testing, regression analysis, and other statistical methods used in data analysis.
• Data Management: Skills in data collection, storage, and management, including knowledge of databases, data warehousing, and data governance.
• Business Acumen: Strong business and industry knowledge to connect data insights with strategic business decisions.
• Coding and Programming: Proficiency in programming languages such as Python or R for data manipulation, analysis, and model development.
• Machine Learning: Familiarity with machine learning algorithms and techniques for predictive analytics and pattern recognition.
• Business Intelligence Tools: Proficiency in BI tools like Tableau, Power BI, or QlikView for creating interactive dashboards and reports.
• SQL and Database Management: Understanding of ethical considerations and data privacy regulations related to handling sensitive data.
• Data Ethics and Privacy: Understanding of ethical considerations and data privacy regulations related to handling sensitive data.
• Communication Skills: Effective communication skills to convey data findings and insights to non-technical stakeholders in a clear and understandable manner.
• Project Management: Strong project management skills to plan, execute, and deliver data analytics projects on time and within budget.
• Teamwork and Collaboration: The ability to work collaboratively in cross-functional teams, as data analytics often involves collaboration with various departments.
• Adaptability: The capacity to adapt to evolving technologies and methodologies in the rapidly changing field of data analytics.
• Continuous Learning: A commitment to continuous learning and staying updated with the latest trends and developments in data analytics and business intelligence.
• Problem-Solving: Strong problem-solving skills to identify business challenges and design data-driven solutions.
• Attention to Detail: Meticulous attention to detail to ensure accuracy and reliability of data analysis results.
• Domain Knowledge: Specialized knowledge in a particular industry or domain can be advantageous, as it allows for more context-specific analysis.
• Ethical and Legal Awareness: UnKnowledge of data governance, data privacy regulations, and ethical considerations when handling data.

• Data Analyst: A Data analysts are responsible for collecting, processing, and analyzing data to provide insights and support decision-making. They often use statistical software and data visualization tools.
• Business Intelligence Analyst: Business intelligence analysts focus on gathering and analyzing data to help organizations make informed strategic decisions. They create reports, dashboards, and data visualizations.
• Data Scientist: Data scientists use advanced statistical and machine learning techniques to extract valuable insights from data. They develop predictive models, conduct deep data analysis, and provide actionable recommendations.
• Business Analytics Manager: Business analytics managers oversee the data analytics team and are responsible for setting the analytics strategy, managing projects, and ensuring data-driven decision-making.
• Market Research Analyst: Market research analysts gather and analyze data about consumer preferences, market trends, and competitive landscapes to provide insights for marketing and product development.
• Marketing Analyst: Marketing analysts use data to evaluate marketing campaigns, customer behavior, and market segmentation. They help optimize marketing strategies for better ROI.
• Financial Analyst: Financial analysts use data to assess an organization's financial health, analyze investments, and provide recommendations for investment decisions.
• Healthcare Data Analyst: In the healthcare industry, data analysts work with patient data, medical records, and healthcare systems to improve patient care, optimize operations, and manage costs.
• Supply Chain Analyst: Supply chain analysts optimize the flow of goods and materials by analyzing data related to logistics, inventory management, and supply chain processes.
• Operations Analyst: Operations analysts focus on improving the efficiency and effectiveness of an organization's operations by using data to identify areas for improvement.
• Risk Analyst: Risk analysts assess and manage risks in various areas, including finance, insurance, and project management, by analyzing historical and real-time data.
• Human Resources Analyst: HR analysts use data to make decisions related to talent acquisition, employee engagement, performance management, and workforce planning.
• Consultant: Product managers use data to inform product development decisions, prioritize features, and improve user experiences.
• IT Manager: IT managers in data-centric roles oversee data infrastructure, databases, and analytics tools within an organization.
• E-commerce Analyst: E-commerce analysts focus on optimizing online sales and customer experiences by analyzing website traffic, user behavior, and transaction data.
• Quality Assurance Analyst: Quality assurance analysts use data to ensure product and service quality, often in industries like manufacturing or software development.
• Retail Analyst: Retail analysts analyze sales data, customer behavior, and inventory levels to improve retail operations and profitability.
• Energy Analyst: Energy analysts use data to optimize energy consumption, assess renewable energy projects, and improve sustainability efforts in the energy sector.
• Cybersecurity Analyst: In the field of cybersecurity, analysts use data to detect and respond to security threats and vulnerabilities.

• IIndian School of Business (ISB), Hyderabad: ISB offers a Post Graduate Program in Business Analytics (PGPBA) that focuses on analytics, data management, and business intelligence.
• Indian Institute of Management Calcutta (IIMC): IIM Calcutta offers courses in operations and supply chain management as part of its MBA program.
• Indian Institute of Management Bangalore (IIMB): IIM Bangalore offers an Analytics Executive Program as part of its executive education portfolio, focusing on data analytics and business intelligence.
• Indian Institute of Management Calcutta (IIMC): IIM Calcutta offers an Advanced Program in Data Sciences and Business Analytics (APDSBA) as part of its executive education programs.
• Indian Institute of Management Lucknow (IIM Lucknow): IIM Lucknow offers a one-year Executive Program in Business Analytics.
• Great Lakes Institute of Management, Chennai: Great Lakes offers a full-time MBA in Business Analytics program.
• International School of Engineering (INSOFE), Hyderabad: INSOFE offers a full-time PG Program in Data Science and Business Analytics, which includes an MBA in Big Data Analytics and Optimization.
• Xavier Institute of Management and Entrepreneurship (XIME), Bangalore: XIME offers an MBA in Business Analytics, focusing on data analytics and business intelligence.
• Symbiosis Institute of Computer Studies and Research (SICSR), Pune: SICSR offers an MBA in Information Technology, which includes coursework in data analytics.
• Narsee Monjee Institute of Management Studies (NMIMS), Mumbai: NMIMS offers a full-time MBA in Business Analytics.
• Amity Business School, Noida: Amity University offers an MBA in Business Analytics.
• Welingkar Institute of Management Development and Research, Mumbai: Welingkar offers a PGDM in Business Analytics
• Praxis Business School, Kolkata: Praxis offers a full-time PG Program in Data Science and Business Analytics.
• SP Jain Institute of Management and Research (SPJIMR), Mumbai: SPJIMR offers an Advanced Program in Business Analytics (APBA) as part of its executive education portfolio.