This course provides a foundation in business analytics, equipping students with the knowledge and skills to extract, transform, visualize, and analyze data and report insights to support informed business decisions. Students will explore fundamental concepts, techniques, and software tools with emphasis on descriptive and predictive (e.g., regression and classification) analytics, and an introduction to prescriptive analytics (e.g., linear programming). The course combines theoretical learning with practical applications and written reporting. It prepares students to tackle real-world business challenges using data-driven approaches, such as the SOAR model or the CRISP-DM Process. They will be ready for advanced analytics courses in their chosen field.
This course explores how Generative AI, particularly Large Language Models (LLMs), can transform governmental reports and accounting practices. You will learn how AI can optimize financial data extraction, improve decision-making, and enhance the efficiency of accounting processes. By the end of the course, you’ll understand how AI-powered tools can automate data extraction, integrate workflows, and improve financial decision-making.
This course introduces the principles and practices of managerial accounting, focusing on how organizations use accounting information to plan operations, make decisions, and evaluate performance. Students will learn key topics such as cost classification, cost-volume-profit analysis, budgeting processes, variance analysis, and internal reporting. Through a combination of lectures, real-world examples, and hands-on exercises, the course emphasizes the role of accounting in supporting effective management and operational control. By the end of the course, students will have a strong foundation for advanced study in accounting, finance, and management, and will understand how managerial accounting drives strategic and day-to-day business decisions.
In this course students learn about Artificial Intelligence (AI) and some of its potential applications in accounting and auditing. By studying the technology from a business perspective, students get a more holistic view of its uses. In addition to the basics of AI, students study techniques such as classifiers, cluster analysis, exception and anomaly detection, automation, and learn more advanced applications of AI in accounting and auditing.
This course introduces students to blockchain technology and smart contracts and to how they are applied in an accounting and auditing context. Students learn about various issues related to crypto currencies and their valuation and markets, such as their unique properties and the technologies used to build them. Furthermore, students learn about information risk management and cybersecurity as well as their impact on business and good practice standards of cybersecurity.
This course covers a wide range of emerging technologies in the accounting and auditing areas. Students are introduced to data visualization and interactive dashboards, artificial intelligence, process mining, blockchain and smart contracts, crypto currencies, cybersecurity, and text mining. Moreover, students learn about practical applications and use cases of such technologies in a business environment.
This course discusses the increasingly popular Robotic Process Automation (RPA) technology. Students learn about progressively advanced and complex scenarios of automation. In addition, they learn about the relationship between automation and the concept of continuous auditing and continuous monitoring, as well as hands-on use cases in accounting.
This course describes a paradigm shift from the traditional auditing and monitoring approach. Rather than resorting to analyzing a sample of the population, this course presents methodologies and techniques that can be applied to the entire population of records in an audit-by-exception manner. The students learn about various related topics, such as process mining, artificial intelligence, exception identification and prioritization, automation, among others.