Program Overview

This course delves into the dynamics of managing organizations in complex and rapidly changing environments. Students examine how managers function when faced with complex environments characterized by volatility, uncertainty, complexity, ambiguity, and unsustainability. Through self-development exercises and case studies, students develop skills in communicating and listening, motivation, emotional intelligence, team building, creative problem-solving and decision-making, and negotiation and conflict resolution. Students will learn to anticipate challenges, adapt strategies, and foster an environment of resilience and innovation, ensuring that organizations can thrive in the face of adversity and rapidly changing circumstances.

This course offers an exploration of financial management focusing on sustainable financial management strategies and practices. It delves into critical financial decisions related to working capital management, financing, capital budgeting, and distribution policy, highlighting their role in creating sustainable firm value. Through practical sessions, simulations, and illustrative case studies, the course examines the ESG (Environmental, Social, and Governance) issues associated with these financial decisions, equipping students for roles in financial analysis and strategic financial decision-making with a sustainability perspective.

This course uses data analytics to address business challenges. It focuses on essential methods in data analysis, predictive modeling, and strategic decision-making. The course covers the latest advancements and developments in data analytics, equipping students with various methods, tools, and approaches to tackle complex business challenges and meet organizational objectives. Students will develop skills in identifying and capitalizing on business opportunities through data-driven insights. Practical case studies across various industries and business functions provide managerial insights and recommendations, preparing students to make well-informed decisions and suggestions in diverse business scenarios.

This course focuses on studying cloud-based systems integral to performing and facilitating various business functions across organizations. The course explores the integration of different business domains and contexts, highlighting the effective use of capabilities, features, modules, applications, and functionalities in enterprise systems. Through in-depth case studies, students will learn how these systems manage critical aspects like data, products, services, personnel, projects, and finances. The aim is to understand how enterprise platforms are leveraged to effectively meet business needs and achieve strategic and sustainable goals.

This course offers an in-depth exploration of advanced sustainable business practices, with a primary focus on strategic integration of People (Social), Planet (Environmental), Prosperity (Economic), and Participation (Governance) principles in organizations across sectors. The learning centers on understanding integrative SDGs, ESG, and DEI management strategies for shared sustainable value creation and sustainability reporting following the Global Reporting Initiative and other standards. Students engage with complex case studies, learning to devise and implement responsible and resilient strategies that promote long-term organizational and environmental well-being. The course also emphasizes stakeholder engagement, transparent reporting, and practical application of sustainability tools to achieve measurable impact.

This course is tailored for aspiring leaders dedicated to ethical and inclusive global change. It emphasizes ethical decision-making and cross-cultural understanding, equipping students with skills to navigate and unite diverse and multi-sector perspectives. The course focuses on developing leadership mindsets aligned with the United Nations Global Compact (UNGC) principles and the global agenda for the Sustainable Development Goals (SDGs). Through theoretical and practical learning, it prepares students to address complex global challenges through innovative, inclusive, sustainable, and resilient solutions that contribute significantly to the betterment of the world.

This course provides a deep dive into Business Process Management (BPM) within the context of Information Systems (IS), focusing on the strategic alignment of business processes with enterprise goals. Students will learn how to analyze, design, and optimize business processes at both macro (enterprise-wide) and micro (functional-level) levels, with an emphasis on how these processes inform the configuration and implementation of enterprise platforms.

This course provides Masters in Management students with an introduction to Generative AI (GenAI). Students will explore the historical development of GenAI, delve into the basic components of AI models, and examine the crucial role of data in shaping AI capabilities. The course covers high level model architectures, training processes, and techniques for adapting models to diverse applications. Throughout the program, students will engage with the broader implications of GenAI, including ethical considerations, societal impacts, and emerging challenges in security, privacy, and sustainability.

This course provides a comprehensive understanding of dynamic project management practices tailored for digital environments. The curriculum focuses on both traditional methodologies, such as Waterfall, and modern approaches, particularly Agile, to address the challenges of managing projects in fast-paced, technology-driven settings. Students will explore how these frameworks can be effectively applied to Information Systems (IS) programs and projects within the context of rapidly evolving business technology landscapes.

This course provides a foundational understanding of data lifecycle steps and introduces students to the latest data management tools and platforms, roles and capabilities, practices, standards, frameworks, advancements, and developments. The course includes cases and discussions from the most relevant data management areas such as data quality, data governance, data storage and retrieval, data collection and sharing via application and system interfaces, data modeling techniques and tools, databases, data privacy and security, and AI-enabled data management services and applications. The overarching premise of the course is to learn about the business values and managerial efficiencies that can be gained from innovative and emerging data management practices.

MIM 680 - Salesforce Foundations: Business Analyst

In this course, you will establish your credentials in the Salesforce ecosystem and develop a foundational understanding of how to harness the declarative side of Salesforce. This course covers Sales & Service Cloud and how to apply your Salesforce knowledge to a Business Analyst role.

MIM 681 - Salesforce Foundations: Administrator

In this course, you will establish your credentials in the Salesforce ecosystem and develop a foundational understanding of the platform, its features, and functionality. From learning about object-oriented architecture to creating process automation and business-centric apps, you will acquire a comprehensive knowledge of the building blocks essential to a fast-growing platform for businesses worldwide.

This course introduces students to the essential concepts and practices of data visualization using a state-of-the-art tool, with an emphasis on integrating AI-driven insights. The course is structured to focus on how data visualization can effectively communicate complex data in various business contexts. Students will learn to create compelling visual narratives that support data-driven decision-making and explore the role of AI in enhancing visualization capabilities.

This course equips students with essential knowledge and skills for data wrangling, a key step in data analytics projects. Students will learn to collect data from various sources, such as databases and web scraping, and apply techniques for cleaning and scrubbing data to ensure accuracy and consistency. The course also covers basic data exploration methods to identify patterns and trends, along with an introduction to simple data visualization concepts to aid in understanding datasets.

Studies contemporary issues and the importance of information security to gain insight into how proprietary business information is managed and protected. Examines approaches used to identify, manage, and balance conflicting information security and organizational goals within a management framework. Topics include basic security hygiene, security policies and frameworks, risks of information system vulnerabilities/techniques for exploitation, countermeasures, and incident response.

Today’s leaders, managers, and professionals are called on to continuously perform and adapt in competitive environments where high-impact technological shifts present new challenges, possibilities, and opportunities at an unprecedented pace. This course is designed to help students prepare for managing rapid change using insight and techniques resonant with key characteristics of modern firms whose operations and management depend on technology-enabled processes, including cross-functional teams, external partnerships, collaborative decision-making processes, and customer-centric analysis. Using a blend of evidence-based readings, relevant case studies, experiential activities, and external assignments, students in this course will learn about common and emergent issues in modern change management and how to address them successfully.

This course equips students with fundamental knowledge, skills, and practical experience in using industry-standard programming languages to work on data analytics projects. Students will learn to write efficient code and manipulate and analyze large datasets. They will also gain experience in optimizing data processing workflows and implementing best practices for data analysis.

This course explores the complex interplay between technological advancement and society, emphasizing how technology shapes and is shaped by cultural, economic, and ethical considerations. Students will examine key topics such as the role of technology in modern organizations, its societal impact, and the ethical challenges surrounding data privacy, AI, and automation. By leveraging case studies, theoretical frameworks, and strategic analysis, students will develop the skills to navigate the dynamic technological landscape in business and its broader societal implications. The course equips students with critical thinking and leadership skills, preparing them to evaluate and manage the societal challenges posed by emerging technologies.

This course explores supply chain management with a focus on integrating strategy, analytics, and technology to optimize processes and achieve business goals. Students will examine key components, including procurement, production planning, logistics, and risk management, while also investigating the role of analytics, enterprise platforms, and emerging technologies like AI, IoT, and blockchain, in driving supply chain efficiency and responsiveness. Through case studies and hands-on analysis, students will develop the skills needed to design and manage innovative, resilient, and sustainable supply chains in dynamic business environments.

Internships with a detailed deliverable component may qualify for credit. Meeting and approval of the Program Director is required prior to receiving sponsorship.

Special topics courses are contingent on student interest and faculty availability. A wide range of formats and subjects permits the pursuit of specialized interests.