The coursework required for the Master of Professional Studies in Strategic Digital Transformation includes two required core courses—The Ethics of Digital Innovation and Capstone—as well as five required foundation courses and a selection of elective courses. Below represents a sample of course offerings. Format and content may change.
The Ethics of Digital Innovation (3 credits; required)
Digital innovation is directly related to ethics in the sense that it impacts the wellbeing of individuals and communities through the creation of disruptive technology. The development of new industry values and wealth from the deployment of disruptive technologies can create or exacerbate ethical concerns across different industries. Additionally, the digital divide and persistent disparities both in the diversity of the digital tech workforce and with regard to access to new technologies in lower-income communities are areas where there are significant ethical considerations to be considered in the context of digital transformation. The course emphasizes ethical responsibilities and core values associated with technological innovations and digital transformation. Students will learn how to articulate ethical frameworks in relation to industry key concepts: inclusiveness, fairness, privacy and security, transparency, reliability, and accountability.
Capstone (3 credits; required)
The Capstone course is the culmination of the student's academic and professional experience in the Strategic Digital Transformation program. Over the course of the semester, students will be asked to apply the knowledge gained during the program to a project. With a focus on digital technology integration, students will incorporate the skills necessary for analyzing key issues, thinking creatively, and making sound decisions in order to develop a digital technology strategy, digital solution design, and implementation plan. Projects will address global and local challenges related to digital transformation.
Digital Transformation Strategy (3 credits; required)
This course prepares students to develop a digital strategy that is aligned with organization mission and business objectives. An important area that will be undertaken in this course is examining how to build a strategy across different sectors including K-12 education, higher education, private/corporate, and government. Students will learn how to develop a digital action plan that includes financial considerations, operations, digital marketing, digital supply chain, and human resources, with key elements such as creating a diverse workforce and incorporating diverse voices within organizational change, customer experience, and the innovation cycle.
Developing Digital Solutions (3 credits; required)
This course introduces students to agile digital solution development through the lens of the Agile, Lean, and design thinking frameworks. The course places an emphasis on user experience and user interface. Students will learn how to integrate key components of digital solution projects such as user/market research, user experience design, wireframing and prototyping, user interface design, user interactions and animations, and testing. Consideration for how to create inclusive solutions to meet the needs of a diverse range of users will also be woven into the course curriculum.
Digital Asset Monetization & Legal Frameworks (3 credits; required)
The first part of this course places an emphasis on the various strategies that can be deployed to monetized digital assets in both public and private sectors. More specifically, students will learn how to create value by using robotic process automation and process engineering, monetizing API, generating data-driven insight, or developing new revenue streams through data marketplaces. The second part of the course focuses on data privacy and intellectual property laws in the United States, European Union, and other selected countries.
Leading Organizational Change (3 credits; required)
Digital transformation is not solely about technology and must address challenges posed by organizational culture and human factors. This course prepares students with essential skills in digital transformation and change management. Grounded in the tradition of organizational development and change theory, this course places an emphasis on practical skills and application. Students will learn how to support new business ventures, manage growth and scalability, lead teams and manage talents, identify and build positive relationships with stakeholders. The course also addresses technology insertion and change management as well as transition management and sustainability.
Communication for Corporate Entrepreneurs (3 credits; required)
This course addresses several leadership considerations, including how to navigate culture and style practices within organizations. Students learn how to deploy continual reinforcement in their communications strategy, especially when addressing the issues of digital innovation and organizational change. The course examines multiple communication approaches as well as tools and techniques that are appropriate for different audiences.
Artificial Intelligence for Business Solutions (3 credits; elective)
This course offers an introduction to key concepts and theoretical frameworks related to artificial and machine learning. Students will learn how to build artificial intelligence solutions using open platforms and will explore different approaches to integrating artificial intelligence solutions as tools to support digital transformation and/or to improve existing services and products. Ethical dilemmas and artificial intelligence biases are examined.
Blockchain & Smart Contracts (3 credits; elective)
This course provides a comprehensive overview of development strategies related to blockchain technologies. Through a combination of lectures, exercises, case studies, expert guest speakers, and group work students learn various applications of blockchain technologies. This includes creating smart contracts and developing a blockchain solution on an open-source platform. Finally, the course addresses key processes involved in the planning, integration, and maintenance of this data management technology.
Cloud Computing (3 credits; elective)
The course provides a complete introduction to cloud computing, virtualization, legacy hardware and software considerations, and approaches to transitioning Information Technology from legacy systems to a shared managed service model. Various cloud computing models will be covered including private, public, hybrid and community clouds. Students will learn how to effectively plan, implement, and manage cloud computing and complete introductory coursework in VMware Virtualization software. Security and privacy considerations will be discussed.
IoTs & Wireless Technologies (3 credits; elective)
The interconnectivity of Internet of Things, remote sensors, and other wireless technologies offers a wide range of opportunities in digital transformation. Energy, farming, manufacturing, transportation, and other infrastructure sectors are getting “smarter” through the deployment of wireless technology networks. This course prepares students to develop innovative wireless solutions through network infrastructure design, sensor data analytics, and IoT applications. Students will also learn how 5G and Industry 4.0 are contributing to the rapid expansion of wireless technologies.
Technology Convergence & Digital Innovations (3 credits; elective)
Technology convergence or tech fusion refers to the combination of two or more core technologies to produce new business opportunities. This course introduces students to various business case studies involving technology convergence, disruption of industry verticals, and organizational changes. Students will also engage in creative thinking by identifying and developing new commercial opportunities and business ventures as a result of technology convergence. Impact of technology convergence will be addressed in terms of ethical issues, inclusiveness, and legal consideration.
Supercomputing & Big Data Analytics (3 credits; elective)
Today data is everywhere and, more than ever, requires High Performance Computing applications. This course aims to explore and utilize systems and infrastructures specifically designed to support the secure, efficient, and sustainable management and analysis of big data. The course also examines how government agencies, commercial companies, and nonprofits are using supercomputing and Big Data Analytics to achieve their strategic goals and objectives. During the course students are introduced to the concepts through real-world demonstrations of Supercomputing and Big Data Analytics solutions.