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This course introduces concepts and theories related to the international business environment and constructs strategies to compete with others and to work with people from different backgrounds. The course reviews renowned analysis tools developed to help managerial decisions for multinational firms.
To improve understanding of the theories, concepts, and analysis tools, the course features real world case studies (mostly Harvard Business cases) and team discussions.
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This course offers an introduction to management accounting. Topics include: income statement types; pricing decisions; budgets; job and process costing; activity-based costing and department costing.
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The course provides future marketers with a fundamental understanding of digital marketing tools and techniques and helps them to become proficient in digital marketing practice. Practical assignment include the development of a digital marketing plan for a hypothetical company by formulating a digital marketing strategy, including the planning of campaigns.
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Data analytics addresses methods for collecting, managing, interpreting, and visualizing large datasets. An understanding of basic statistical reasoning is an essential requirement across professional spaces such as an economist, as is the ability to manipulate data using specialized computer software. This course introduces rigorous statistical data analysis and provides training in the use of MATLAB, which is an excellent tool for understanding basic statistical calculations. The course lays out the perceptual and cognitive foundation of how practitioners understand and perceive stories, data graphics, and, ultimately, visual storytelling. In this London-based module, the students take advantage of studying in one of the world’s great financial capitals as well as top destinations for overseas students. The course introduces broad classes of techniques and tools for analyzing and visualizing data at scale while teaching the scientific process of transforming data into insights for making better business decisions. It emphasizes how to combine computation and visualization to perform effective analysis and storytelling. The course covers methods from each side and hybrid ones that combine the best of both worlds.
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This course provides a foundation knowledge and understanding of the principles and practices of financial reporting and of the role of accounting information within its broader economic, social, and organizational context. It offers broad coverage of the core financial statements presented and considers the capacity for accounting information to develop in response to changing economic and social needs.
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The course deals with basic issues in finance, such as risk diversification and asset pricing, capital structure, investment valuation, market efficiency, dividend policy, and the use of derivatives. Prerequisites include BENC2004 or an understanding of the following finance concepts: Types of securities (stocks, bonds) and their returns; the concept of risk diversification and efficient frontiers, and principles of the time value of money. Exchange students need to have taken at least one introductory finance course.
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This course discusses the evolution of industry, the production of goods through the transformation of raw materials or materials that have already undergone one or more transformations and the exploitation of energy sources. It focuses specifically on “Industry 4.0,” which refers to digital technological innovations. Additionally, the course covers lean management and its associated tools and methods.
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This course draws from sociological, anthropological, and psychological theory to provide a contemporary view of consumer behavior that moves beyond predominant behaviorist approaches to the subject area. Students are introduced to research methods for studying consumer behavior, while also putting these methods into action to examine their own consuming behavior and others'. They consider the multi-sensory nature of consumption, asking themselves why sight, sound, taste, touch, and smell are so important in understanding how and why people consume.
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This course is part of the Laurea Magistrale degree program and is intended for advanced level students. Enrolment is by permission of the instructor. This course explores the prominent concepts and theories of competitive and corporate strategy. The study of the core elements of strategic management is combined with the development of the skillset to apply strategy models and tools to case studies from different industries, such as finance and banking arena, including the emergent fintech and digital companies. Students develop their collaborative skills in a role game as consultants to advise the management of a corporation. At the end of the module, students develop an understanding of the most relevant models of company competitive analysis and strategy and are able to identify key factors for organizational performance. Students learn how to set up necessary actions to attain organizational goals in international markets.
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This course offers a study of advanced Big Data analytics. Topics include: e-business and market trends; supply chain management; enterprise resource planning and customer relationship management; applications of advanced Big Data analytics.
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