2025-2026 Academic Catalog
Information Technology, MSIT
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Overview
Master of Science in Information Technology The Master of Science in Information Technology (MSIT) program prepares students to be forward-thinking technology leaders with technical skills and strategic acumen to address real-world challenges with integrity. The program has a strong emphasis on market-ready skills such as AI, Cloud, Product Management, and Healthcare Technology. The MSIT program balances technical proficiency with essential soft skills necessary for success in Technology. The program provides curriculum that enables students to innovate with technology at a fast pace across various fields. The advancement of AI has fundamentally changed the IT landscape and will continue to create IT breakthroughs. Students will learn how be successful in IT in this new dynamic while learning to navigate ethical dilemmas inherent in technology. Students will learn best practices to lead teams effectively while fostering an environment of respect, empathy, and ethical decision-making. Graduates will emerge with an advanced understanding of technology creation and management, skills to leverage technology for positive societal impact, and to drive innovation in an ever-evolving technology landscape. Assessment of Prior Learning The School of Professional Studies offers Assessment of Prior Learning (APL) credit for up to two (2) graduate courses. APL credit is awarded for demonstrated learning and experience that satisfy specific Clark course outcomes. Admitted SPS graduate students interested in APL should review the APL policy and process and consult with their academic advisor before the end of their first term in the program. An APL application requires a student portfolio with documentation/artifacts as evidence to demonstrate their proficiency in the subject matter. There is an administrative fee associated with the APL application process. Program Learning Outcomes
Upon successful completion of the MSIT, students will be able to: -
Demonstrate a comprehensive understanding of the software development lifecycle by integrating AI to analyze patterns, predict outcomes, and develop innovative solutions. -
Apply emotional intelligence and collaborative leadership by fostering team dynamics that utilize AI-driven tools to enhance communication, streamline workflows, and ensure the successful delivery of technology projects. -
Design and utilize iterative practices throughout the Software Development Life Cycle (SDLC) across verticals, incorporating AI to improve testing efficiency, optimize system performance, and accelerate the development of impactful technology products. -
Integrate ethical considerations and social responsibility into technology development and implementation, critically assessing the implications of AI to ensure equitable, sustainable, and socially conscious solutions. -
Develop strategies for monetizing technology across verticals and creating organizational value by leveraging AI insights to identify market opportunities, evaluate financial viability, and craft persuasive value propositions that drive stakeholder adoption. Internship
Completing an internship is a requirement in this graduate program. Students are responsible for securing their own internship. While students will gain valuable experience, they will not earn academic credit for their internship. Internship requirements: - Must include a minimum of 120 hours
- Must be directly related to the student’s program of study
- Must be approved by the Director of Career and Professional Development
Exceptions: - Students who have seven (7) or more years of professional work experience directly related to their program of study may seek to waive the internship requirement.
- Students who currently work full-time in a field/industry directly related to their program of study.
Students seeking to waive the internship requirement must receive permission from the Director of Career and Professional Development by the end of their second semester in the master’s program. Review the Internship Handbook for more information. Please connect with your academic advisor to plan your studies accordingly. MSIT Concentrations
The program’s four concentrations-Generative Artificial Intelligence; Product Development; Technology in Healthcare; and Cloud Computing-are designed to address high market demand. - The Generative Artificial Intelligence concentration provides graduates with expertise in AI applications, enabling them to lead projects in this transformative domain.
- The Product Development concentration focuses on fostering innovation and entrepreneurial skills to create impactful technologies.
- The Technology in Healthcare concentration equips students to develop innovative digital solutions that enhance patient outcomes and improve healthcare delivery.
- The Cloud Computing concentration prepares students to design and manage scalable and secure cloud systems to support organizational agility.
To declare a concentration, consult with your academic advisor. A concentration declaration is required by the end of the first semester in the program. Generative Artificial Intelligence
The Generative AI concentration offers a comprehensive exploration of Generative AI models and their applications. From understanding the architecture and development of popular models to exploring creative and industry applications, students gain insight into the ethical considerations and societal impacts of Generative AI. Students learn practical skills for deploying Generative AI models to solve real-world business challenges, positioning them as adept practitioners ready to drive innovation and success in various industries. The four courses in the concentration are: Product Development
The Product Development concentration offers a comprehensive curriculum focused on equipping students with the essential skills and knowledge to create and manage successful digital products. From understanding user needs and preferences to rapid prototyping, marketing strategies, and data-driven decision-making, students are immersed in every aspect of the product development lifecycle. Through hands-on projects and real-world case studies, students learn to conceptualize, design, prototype, and market digital products effectively, ensuring they meet market demands and exceed user expectations. This concentration focuses on providing students hands-on experience, equipping students to innovate, enhance product performance, and thrive in today’s fast-paced technology landscape. The four courses for the concentration are: Technology in Healthcare
The Technology in Healthcare concentration offers a thorough exploration of the intersection between healthcare and technology, preparing students to navigate the evolving landscape of digital healthcare. From foundational principles to cutting-edge applications, students gain insight into essential components such as electronic health records systems, telemedicine platforms, and health information exchanges. Through courses focusing on digital health applications, architecture, interoperability, and the future of healthcare technology, students develop a deep understanding of how technology can enhance healthcare delivery, improve patient outcomes, and address critical challenges in the healthcare industry. By examining ethical, legal, and social implications, students are equipped to champion patient privacy and data security while leveraging innovative technologies to shape the future of healthcare. Cloud Computing
The Cloud Computing concentration equips students with comprehensive skills and practical knowledge essential for mastering cloud technologies. This concentration focuses on key areas such as cloud infrastructure management, cloud administration, security and compliance, and DevOps practices in cloud environments. They explore advanced cloud security techniques such as encryption, AI-driven security solutions, and access management, along with compliance with legal and regulatory standards. Additionally, the concentration emphasizes automation, continuous integration, continuous deployment (CI/CD), and monitoring within cloud environments. Through hands-on experience, students learn how to manage cloud systems, build secure digital workplaces, implement automation, and ensure regulatory compliance. Graduates of this concentration are well-prepared to lead cloud initiatives, optimize cloud operations, and enhance organizational efficiency in the ever-evolving technology landscape. The four courses for the concentration are: |
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