2024-2025 Academic Catalog
Information Technology, MSIT
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Overview
Students starting the program in the FALL 2024 semester should use the program requirements found in the 2023-2024 Academic Catalog.
Students starting the program in the SPRING 2025 semester will follow the program requirements below.
Master of Science in Information Technology
The Master of Science in Information Technology (MSIT) program prepares students to be forward-thinking individuals with technical prowess and strategic acumen to address real-world challenges with integrity and ingenuity. With a strong emphasis on market-ready skills, the MSIT program balances technical proficiency with essential soft skills necessary for professional success.
The program emphasizes the development of ethical leadership and collaboration skills within the realm of IT. Students will learn to navigate ethical dilemmas inherent in technology through critical analysis and decision-making as well as cultivate their ability to lead teams effectively while fostering an environment of respect, empathy, and ethical decision-making. Collaboration across diverse teams and stakeholders is encouraged, recognizing the importance of collective efforts in addressing complex challenges and driving innovation.
Graduates will emerge with an advanced understanding of technology product creation, the capacity to leverage technology for positive societal impact, and the skills to drive innovation in an ever-evolving global 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.
Internship
Completion of an approved non-credit internship is required. Exceptions are available for those who qualify. Please refer to our academic policies and visit a member of our Experiential Learning team for more information.
Course of Study
This is a 10 course curriculum consisting of four (4) required core courses, four (4) courses from a required concentration of your choice, and two (2) electives.
Required Core Courses:
MSIT Concentrations
To declare a concentration, consult with your academic advisor. A concentration declaration is required.
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.
- MSIT 3100 Popular Gen AI Models
- MSIT 3101 Industry & Creative Application of Generative AI
- MSIT 3102 Ethics, Governance, & Social Implications of Generative AI
- MSIT 3103 Generative AI Model Development
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. With a blend of theoretical concepts and practical application, students emerge from this concentration equipped to drive innovation, optimize product performance, and succeed in today’s dynamic tech landscape.
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MSIT 3200 Principles of Digital Product Development
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MSIT 3201 Rapid Prototyping for Digital Products
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MSIT 3202 Digital Product Marketing and Data Driven Decision Making
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MSIT 3203 Digital Product Prototype Development
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.
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MSIT 3300 Healthcare Technology Foundations
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MSIT 3301 Digital Health Applications and Architecture
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MSIT 3302 Health Information Exchange and Interoperability
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MSIT 3303 The Future of Healthcare Technology
Electives
Students may select any graduate level course offered by the School of Professional Studies as an elective. Two (2) electives are require to fulfill your program requirements of ten (10) courses.
Program Learning Outcomes
Upon successful completion of the MSIT, students will be able to:
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Demonstrate proficiency in critical thinking and apply a comprehensive understanding of the application of software development lifecycle by evaluating complex technological challenges and proposing innovative solutions.
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Apply emotional intelligence and collaborative skills to effectively lead teams in the development and implementation of technology projects.
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Utilize rapid prototyping techniques throughout the Software Development Life Cycle (SDLC) to iteratively design, build, and refine technology products, culminating in the creation of working prototypes.
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Incorporate ethical considerations and social responsibility into all aspects of technology development and implementation, ensuring that solutions prioritize the well-being of individuals and communities while minimizing negative impacts on society and the environment.
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Develop strategies for monetizing technology and creating value for businesses/organizations, including identifying market opportunities, assessing the financial viability of technology solutions, and effectively communicating the value proposition to stakeholders to drive adoption and profitability.
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