Develop your skills as an IT leader and get ready to accelerate your career with MS in IT Management
The MS in IT Management is designed for working professionals in information technology (IT) who are looking to accelerate their careers. We created this new online degree program to meet the growing demand for IT leaders, developing a curriculum that will prepare students from both business and IT backgrounds to meet current market needs for CIOs and other tech visionaries.
Please note: We are no longer accepting applications for this program.
The final program offering for the MS in IT Management will be Spring 2024, starting on February 12.
Complete this 30 credit hour degree and graduate prepared to:
Be knowledgeable about business processes and the integration between business functions and technology
Analyze, design, and develop IT systems
Lead IT management and strategy—both of people and systems
Use data and visualizations to support managerial decisions
If you have an undergraduate degree in business, computer science, informatics, information technology, or engineering, an MS in Information Technology Management can refine your focus as a specialist. If you have an MBA, this degree will help you develop more in-depth analytical expertise.
You’ll start with three MicroMasters® courses on the edX online learning platform. If accepted into the MS in IT Management program, your three courses will count towards the master’s degree. Once these first three courses are complete, admitted applicants will then start the master’s degree program and be considered an IU student.
Plan of study
Digital Infrastructure and Platforms
AI for Cybersecurity
Enterprise Data Management II—Big Data
AI in Business
Digital Technologies in Operations Management
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.
Upon graduation, you’ll receive a Master of Science from the Indiana University Kelley School of Business—the same degree students studying on the IU campus receive.
In our continuing effort to provide the most beneficial course sequencing and useful content to learners, we have switched two courses in our 10-course MSITM program:
Digital Infrastructure and Platforms is now part of our full Master program and thus included in the last seven courses of the program after matriculation.
Platform-based Analytics (PBA) is now part of our three-course MicroMasters® program (beginning the Winter 2022 term).
As a result of the switch, students whohave successfully completed the DEIcourse as part of the MicroMasters® programand plan on matriculatingmust be ready for matriculation by Fall 2023.
Only three of the MicroMasters® courses will count toward the 10-course MSITM degree. Therefore, do not enroll in this Platform-Based Analytics course if you have already successfully completed the Digital Ecosystem Infrastructure (DEI) MicroMasters® course. If you have already completed or are currently completing your third MicroMasters® course, and have applied and been admitted to the full MSITM program, an alternative course to replace the Platform-Based Analytics will be offered once you matriculate into IU. Please reach out to edXksb@indiana.edu with any questions and confirm what courses you should take as part of the program
“The live sessions are helpful and I’m really enjoying the program. The program is relevant and useful in my daily work.”