Technology is the backbone of modern business, and an online IT management master's degree prepares professionals to successfully manage technology in complex organizations that require strategic vision, advanced technical understanding, and strong leadership.
With a focus on bridging business and technology, this flexible, 30 credit hour program provides you with the skills you need to lead and implement technology strategies that drive growth and efficiency.
Our admissions team is ready to support your specialized expertise and career growth. Schedule a 1-on-1 session to learn more about Kelley Graduate Programs. Together we'll get you one step closer to accelerating your career.
In this course, we enhance students' basic statistical and mathematical modeling skills, covering probabilistic decision-making, regression analysis, forecasting, simulation models, and optimization modeling using Excel Solver.
This course covers IT management roles and responsibilities, including business applications, systems project management, end-user support, infrastructure management, new organizational structures, and learning processes.
This course explores an end-to-end framework for managing data as assets to enhance managerial decision-making. You will learn to create databases, manage data through its lifecycle, and generate reports and dashboards using data visualization tools. Additionally, you'll gain hands-on experience with SQL, Tableau, Talend, Alteryx, and more.
This course covers several topics: an overview of IT architecture and its relationship with business strategy and governance; hardware, software, and network architectures; IT architectures designed for scalability, reliability, and security; cloud computing architecture and strategy, including cloud deployment and service models; and technology risks, including the management of risks posed by cloud computing.
This course helps students effectively analyze data using machine learning approaches, enhance predictive performance and robustness, and extract valuable insights from large datasets to support managerial decision-making. The course organizes machine learning knowledge into four layers—applications, tasks, models, and algorithms—applied across various business contexts.
Students will deep-dive into the core digital platforms and capabilities—enterprise systems—using a combination of conceptual and hands-on learning with a game-based approach. Furthermore, this course will give students an overview of analytics using Enterprise Resource Planning (ERP) systems and operational data.
This course is designed to give students an overview of information systems security. We will cover seven of the ten domains of knowledge prescribed by ISC2 for information systems security professionals. The course will focus on how IT systems can be secured rather than how they can be compromised.
Developing business capabilities for the digital future involves rethinking current business practices in the context of identifying where new frontiers of digital value may lie. To uncover these capabilities, we will focus on artificial intelligence and its applications in the digital enterprise.
This course focuses on three main areas fundamental to students seeking their next IT leadership role. The first is technology itself. The second is IT operations. Finally, the third covers the organizational context for IT leadership.
This course covers four modules, providing an overview of: (1) prevailing application environments, modern data-generating processes, data exploration approaches, and fundamental data encoding structures; (2) fundamental machine learning (ML) concepts; (3) deep learning (DL) and generative AI (GenAI) design, learning strategies, implementation, and sample applications; and (4) DL and GenAI model evaluation, deployment, and presentation.