Contemporary organizations need to understand structured and unstructured data to generate insights to improve decision-making processes. Some of the topics will include data strategy and data governance; relational database systems; fundamentals of SQL; database design and management; data integration; master data management; and big data technologies.

As technology becomes fundamental to implement strategic initiatives in modern organizations seeking digital transformation, understanding different aspects of managing technology initiatives and solutions also becomes fundamental. Some of the topics covered will include blockchain and distributed trust; artificial intelligence and robotic process automation; business analytics and machine learning; managing IT investments and business applications; Software development through Agile approaches, Organizational agility and business process redesign for digital transformation; and digital resiliency, information security, and risk management.

This course covers system and infrastructure virtualization and building a cloud infrastructure. Learners will understand the changing role of the IT organization as companies migrate to the cloud architecture. We will explore security issues related to deploying cloud-based systems and services, and study best practices of cloud deployment including consideration of risks, governance, and compliance related to cloud computing. This course also explores future trends including software defined datacenters and warehouse scale datacenters.

This course helps learners understand the conceptual underpinnings of Big Data and issues related to its applications. There is a focus on the Five Vs of Big Data and multiple use cases, plus implementation of Big Data in the Data Architecture of an organization. Learners will become proficient with Hadoop and its main abstractions with focus on Pig, Hive, and Spark; become proficient with NoSQL; and focus on the database design and CRUD (Create, Read, Update, and Delete) operations in MongoDB.

This course develops business capabilities for the digital future which involves rethinking the current way of doing business in the context of understanding where the new frontiers of digital value may lie. Faculty focus on Artificial Intelligence (AI) and automation (especially Robotics Process Automation and Intelligent Process Automation), and their applications on both digital processes and digital products. Learners will examine the rise of AI and the forces propelling that rise: Big Data, algorithm advances, and increase in processing power; Dive into the role of AI in modern organizations and the impacts that AI might bring to customers; and review how Big Data and algorithm advances affect the development of Artificial Intelligence, followed by a showcase of Ai in the cybersecurity realm. Under the guidance of Kelley’s expert faculty, learners will discuss the impact of Robotics Process Automation (RPA) and Intelligent Process Automation (IPA) in business; and examine smart cities, societal implications of AI, and the use of AI for good and automation.

In a competitive world where data is the new oil and information is distributed in platforms, it becomes fundamental for IT professionals to understand how data can be mined and organized to generate insights. Some of the topics covered in this course will include Excel’s Power Query add-in to get and transform data from external sources; data types and the implications of data types on analytical techniques; statistical measures to describe distributions; charts and graphs to visualize patterns within data; pivot tables, Excel tables, and advanced functions within Excel; Excel data model, KPIs, and Power BI tools.

Organized into four modules, this course will provide students with an end-to-end introductory AI for cybersecurity education that includes: (1) a primer to fundamental cybersecurity concepts, terminology, and knowledge, (2) summary of prevailing cybersecurity data sources, characteristics, and data generating processes, (3) overview of fundamental AI-enabled analytics algorithms, and (4) communicating AI for cybersecurity knowledge and insights to selected communities and audiences.

In developing and managing a modern digital ecosystem, technology leaders (e.g., CIOs) add value by strategically infusing business with innovative digital technologies. This requires an understanding of the range of technologies that are transforming the way business is done. Additionally, a successful technology leader must be able to manage the adoption, implementation, and diffusion of digital technologies and associated innovations within an organization. This course helps prepare professionals to assume a leadership role in modern digital enterprises by understanding the role of technologies in two complementary ways: technologies as innovations and technologies as enablers of innovations. Expert faculty members will help the learners gain insights on leadership challenges related to a breadth of topics such as digital technologies and innovations, strategies for digital innovation, digital technology landscape, digital core, infrastructure, cybersecurity, analytics, and digital platforms.

In this course learners will understand the role of operations and supply chain management in supporting a firm’s strategic objectives. We will study the importance of innovation around operations and supply chain management practices, with a focus on the introduction of emerging technologies (“Industry 4.0”) to support and help drive innovative operations and supply chain management capabilities; and analyze the IT leadership challenge as it pertains to new technology introduction and review challenges around enterprise architecture and transformation related to technology enabled innovation. Finally, learners will complete a use case application related to introducing innovative technologies to an existing business.

The Capstone course cover a variety of macro technology trends from a strategic and managerial perspective. Among the topics covers we have Digital Transformation, IT leadership, IT frameworks and organizational structures, risk and control for the IT function, organizational agility and platforms, and emerging technologies. The course targets the preparation of students for the next steps in their careers, aiming not only to increase the knowledge about the topics listed but also to prepare students to better communicate their ideas and to develop their internal frameworks for knowledge acquisition beyond the MSITM.