Information Technology and Management
MSITM 51.525 (1.5-2-0) Programming Fundamentals
This course teaches fundamental concepts, ideas, theories, and terminology of computer programming. Students will develop skills in designing, writing computer programs, and applying this knowledge in a real-world project. This is a programming intensive course.
Requisites: None.
Offered: Fall, Spring.
MSITM 51.526 (1.5-2-0) Introduction to Quantum Computing
This course as a requisite will help students acquire skills on Quantum Computing concepts, technology, and use cases. The course will guide the students to demonstrate proficiency in the following: History of Quantum Computing, Industry and Business Impacts of Quantum Computing, Science and Technology of Quantum Computing, IBMQ, Machine Learning with Qiskit, and Qiskit Aqua Framework. The students will discover how Quantum Computing can bring together allies across departments and disciplines, industries and organizations, and countries and cultures.
Requisites: None.
Offered: Fall, Spring, Summer.
MSITM 5325 (3-3-0) System Architecture
The system architecture course is designed to equip students with the ability to build a comprehensive enterprise solution based on system architecture principles, concepts, and properties. System Architecture is abstract, conceptualization-oriented, global, and focused on achieving the system's mission and life cycle concepts. This course equips students to translate the business and system requirements, develop the solution design and system architecture, and articulate the solutions in various diagrams.
Requisites: None.
Offered: Fall, Summer.
MSITM 5342 (3-3-0) Database Management for Business Analysis
This course is for students who wish to acquire both a business and technical understanding of database systems; their design, development, management, and application. Topics include techniques involved in determining database requirements, designing databases, components and architecture of database, relational data model and database queries, SQL and NoSQL databases. Focus is on experiential learning through use cases of Database Management in business analysis.
Requisites: None.
Offered: Fall, Spring.
MSITM 5350 (3-3-0) Cloud Computing
Students learn concepts on cloud infrastructure through AWS/Microsoft Azure. Topics covered include cloud infrastructure, virtualization, software-defined networks, cloud storage, IaaS, PaaS, SaaS, security and privacy issues, ethics, capacity planning, disaster recovery, etc. Students are exposed to current practices in cloud computing. Students are introduced to the motivating factors behind Cloud, its benefits, use cases as well as cloud computing models, techniques, and architectures.
Requisites: None.
Offered: Fall, Spring, Summer, Online.
MSITM 5351 (3-3-0) Quantum Information Processing
(COSC 4351, PHYS 4351)
This course lays the foundations for understanding and utilizing quantum computing, as well as writing quantum computing programs. Topics covered include the history of quantum computing; current state of the field; potential future applications; quantum phenomena; the symbolic and mathematical representation of quantum circuits; the mathematics needed to understand quantum computing; circuit identities; writing and running programs on quantum computers; and basic quantum algorithms. This course will assume a knowledge of algebra and trigonometry is possessed by the student, as well as basic programming skills. A knowledge of linear algebra and complex numbers will deepen understanding. Graduate students will study in greater depth hardware and use-cases of quantum algorithms. This 5000-level course is cross-listed with a 4000-level course and includes specific graduate course requirements which reflect appropriate deeper learning experiences and rigor in the higher-level course.
Requisites: None.
Offered: Fall, Spring, Summer.
MSITM 5352 (3-3-0) Quantum Computing Algorithms
(COSC 4352, PHYS 4352)
This course focuses on understanding and implementing the major algorithms of quantum computing, including analysis of their use cases, as well as error correction. In this course, students will get hands-on experience coding quantum algorithms. Topics covered include: a review of phase kickback and basic algorithms, quantum teleportation, superdense coding, quantum Fourier transform, quantum phase estimation, Shor’s algorithm, Grover’s algorithm, error correction, and other advanced topics. Graduate students will study in greater depth complexity of algorithms and their use cases. This 5000-level course is cross-listed with a 4000-level course and includes specific graduate course requirements which reflect appropriate deeper learning experiences and rigor in the higher-level course.
Requisites: MSITM 5351 or COSC/PHYS 4351
Offered: Fall, Spring.
MSITM 6124 (1-0-0) Business Technology Professional Development
The Business Tech Professional Development course is a transformative journey designed to equip students with the critical skills, self-awareness, and strategic mindset necessary to thrive at the intersection of business and technology. Students will emerge with an enhanced ability to strategically align technology with business goals, a refined personal brand, improved communication skills, and a network of industry connections. The course also encourages collaboration among peers, fostering a supportive learning community that extends beyond the classroom.
Requisites: None.
Offered: Spring, Summer, Fall.
MSITM 6125 (1-0-0) Business Technology Professional Internship I (S-L)
This course is designed to provide experiential learning through internships wherein students solve real-world business problems using technology. Students will explore how the interaction between management, technology, and leadership provides strong solutions in a corporate setting. Students will be able to apply their knowledge from the classroom settings into the organizations they work for. This course contains a field-based service-learning component.
Requisites: None.
Offered: Fall, Spring, Summer.
MSITM 6126 (1-0-0) Business Technology Professional Internship II (S-L)
This internship course is a continuation of MSITM 6125. This course contains a field-based service-learning component. Note: This course is the second in a series of three courses (MSITM 6125, MSITM 6126, and MSITM 6127) which must be taken in three different semesters. This course contains a field-based service-learning component.
Requisites: MSITM 6125.
Offered: Fall, Spring, Summer.
MSITM 6127 (1-0-0) Business Technology Professional Internship III (S-L)
This internship course is a continuation of MSITM 6125 and 6126 and is the final course in the internship series. This course contains a field-based service-learning component. Note: This course is the third in a series of three courses (MSITM 6125, MSITM 6126, and MSITM 6127) which must be taken in three different semesters.
Requisites: MSITM 6125, MSITM 6126.
Offered: Fall, Spring, Summer.
MSITM 6302 (3-3-0) Business Intelligence and Data Mining
This course focuses on basic principles and concepts of business intelligence and data mining and their applications for making informed business decisions. Topics include data mining theory and methodology, model prediction and assessment, data exploration and pattern discovery, predictive modeling, and current trends in BI. This course equips students with the know-how to extract and apply business intelligence to improve business decision-making using R/Python.
Requisites: MANA 5302 and MSITM 6341 or MSITM 5342.
Offered: Fall, Spring.
MSITM 6303 (3-3-0) Data Visualization
This course focuses on best practices in data visualization and explores topics related to data wrangling, insight modeling, and designing dashboards. This course helps students sharpen their analytical skills as well as develop practical skills using data visualization tools like Tableau, Excel Power view and D3 for effective communication to stakeholders.
Requisites: MSITM 5342.
Offered: Spring, Summer, Fall.
MSITM 6305 (3-3-0) IoT and Big Data
This course will give an overview of IoT – its ecosystem, history, 5G as a driver of IoT devices. Business use cases on IoT and Big Data would be covered. Students will learn how IoT would be a big driver of Big Data and will be exposed to some Big Data technologies – Python, Hadoop, Spark, and Hive. Students will not learn a specific programming language; however, some Big Data Technologies will be used for demonstrations. This course will focus on learning by working through realistic examples.
Requisites: MSITM 6302 and MSITM 6303.
Offered: Fall, Spring, Online.
MSITM 6306 (3-3-0) Artificial Intelligence
This course helps students have a strong foundation on the methodologies, technologies, and best practices used in Artificial Intelligence. Topics covered include machine learning, robotics, planning, computer vision, natural language processing, ANI, AGI, among others. Special focus is placed on the sue cases of AI in business and society. Students will also learn how convergence of AI, Cybersecurity, IoT, blockchain and other technologies helps cities/organizations become more efficient as well as enrich people’s lives.
Requisites: MSITM 6302.
Offered: Fall, Spring.
MSITM 6307 (3-3-0) Humanics: Design Thinking
This course teaches a problem-solving technique called design thinking which focuses on empathizing and meeting the user’s needs with innovative solutions. Topics include defining a problem, ideating and collaboration, crafting user narratives using storytelling, prototyping solutions, testing iteratively, and reflecting on final products. Students will be equipped with a methodology to approach solutions including empathy maps, hopes and fears, needs statements, stakeholder maps, and storyboards. Students will apply IBM principles and earn badges from IBM in this course.
Requisites: None.
Offered: Fall, Spring.
MSITM 6308 (3-3-0) DevOps
This course teaches a set of software development processes, technology, tools, and culture to integrate operational and development teams to deliver applications and services at a high velocity. Students will learn how to combine technical and managerial skills to improve and achieve a continuous delivery pipeline. Topics include automation, continuous development, continuous delivery, information security, and continuous testing practices. Students will be equipped to improve collaboration between development, security, and operational teams.
Requisites: None.
Offered: Fall, Spring.
MSITM 6309 (3-3-0) FinTech: Latest Trends and Digital Strategies
FinTech is an emerging field seeking to improve and automate the financial industry. Students will study the latest trends and digital transformation strategies for building faster and fairer FinTech. Topics include crypto-currencies and blockchain, the impact of artificial intelligence and machine learning, the disruption of enterprise banking, lending, and crowdfunding, regulations, and robo-advisors. Students will also learn how startup companies are disrupting enterprise banking and how banks are innovating to keep up with the direction in financial services.
Requisites: None.
Offered: Fall, Spring.
MSITM 6311 (3-3-0) Introduction to Information Security Management
The primary emphasis of this course is to study the scope, impact, and magnitude of information technology security on business organizational structure; the use of information systems for developing corporate security strategies, both domestic and international; and the growing impact of information systems security on global economic, legal, political, regulatory, and social structures. It will also serve as an introduction to IT Security for Managers concentration, paving the way for information security – risk management, strategy, and incidence response.
Requisites: None.
Offered: Spring.
MSITM 6312 (3-3-0) Information Security Privacy, Policy and Governance
This course focuses on important aspects of information security and governance – managing information security policies, roles and responsibilities related to information security, governance of third-party relationships, and information security strategy development.
Requisites: None.
Offered: Spring.
MSITM 6313 (3-3-0) Information Security Privacy, Program Management and Development
This course helps students learn how to establish and maintain information security program in alignment with the information security strategy. Students will be able to identify, acquire and manage requirements to execute the information security program and also maintain standards, guidelines and procedures to enforce compliance with information security policies.
Requisites: MSITM 6312.
Offered: Fall.
MSITM 6314 (3-3-0) Information Security Privacy, Risk Management
This course enables students to identify risks, ensure compliance, facilitate integration of risk management into business and IT policies, learn various risk assessment frameworks, monitor the threat landscape and report noncompliance to facilitate the risk management decision process.
Requisites: MSITM 6312.
Offered: Fall.
MSITM 6320 (3-3-0) Agile Project Management
Students have inculcated the agile mindset stemming from Agile/PMBOK values and principles. Popular practices like Scrum, Kanban, Extreme Programming, Scaled Agile, Disciplined Agile are introduced to students. Digital Transformation and Citizen Development through Lean-Agile transformations are discussed from a Disruptive Leadership point of view. Students will learn the latest trends of Agile and will apply them to create a new product, service, or result.
Requisites: None.
Offered: Fall, Spring, Summer.
MSITM 6321 (3-3-0) IT Strategy
This course gives a blueprint as to how technology supports and shapes the organization’s overall business strategy. All aspects of technology management, including risk, capital, human resource, vendor, hardware and software management are covered. Students will learn strategies that prepare organizations to be responsive to technology disruption. They will be able to set business priorities and objectives, handle budgetary constraints, develop on core competencies of the organization and leverage technological advances for growth of the organization.
Requisites: None.
Offered: Spring.
MSITM 6322 (3-3-0) Technology Consulting
This course helps students provide leadership in creation and delivery of technology solutions designed to meet customers’ business needs. It helps students shape technical direction and strategies within the organization and for external customers. Students will be able to consult and advise organizations on proposal efforts, solution design, system, and project management.
Requisites: MANA 6314.
Offered: Fall, Spring.
MSITM 6323 (3-3-0) Blockchain
This course helps students gain an understanding of blockchain as a disruptor and the various use cases across industries. Topics include distributed ledger technology, distributed applications, social value proposition, Ethereum, asset transactions, smart contracts, trust protocol, technical characteristics and architecture of a blockchain. Students will learn how blockchain affects business and governance, challenges, and its relationship with other emerging technologies including IoT and AI. (IBM Skills Academy fee required).
Requisites: None.
Offered: Fall, Spring, Summer.
MSITM 6324 (3-3-0) CeDeFi/DeFi
This course is for students wishing to explore CeDeFi, DeFi potential use to change the world of money and finance. Decentralized Finance specializes in advancing FinTech services on smart contract enabled ledgers. The course covers a review of DeFi, use cases, and an understanding of the commercial, technical, and public policy fundamentals. DeFi supports a plethora of financial applications, such as asset exchange, lending markets, leverage trading, decentralized governance voting, and stable coins. Students will present a business idea based on a DeFi use case.
Requisites: None.
Offered: Fall, Spring.
MSITM 6326 (3-3-0) Enterprise Web Development with JavaScript and Angular
The JavaScript and Angular based web development course is about designing and building websites and applications that are focused on the needs of the enterprise. Using modern coding styles and techniques, students will learn to structure applications and develop scalable responsive web applications. Through an introduction to JavaScript, Node, Git, TypeScript and Angular, students will be able to develop complex interactive applications. We will also emphasize technologies, practices and pitfalls that students need to be aware of in the management of software projects.
Requisites: None.
Offered: Fall, Spring.
MSITM 6327 (3-3-0) Product Innovation
Product Innovation course is designed to equip students with the skills necessary to execute innovation as a repeatable process, specifically business model innovation and product innovation, while also touching on other types of innovation. Students will gain the ability to successfully manage innovation and apply pragmatic frameworks which can be used within organizations quickly and effectively. The course will focus on classroom discussions based on product innovation theory and examples from several influential books and case studies. Students should come prepared to read and dig into the material in the style of an intellectual salon.
Requisites: None.
Offered: Fall, Spring.
MSITM 6328 (3-3-0) The Metaverse
The Metaverse is a concept and idea with roots stretching back decades, though the term was first used 30 years ago and the technology is just becoming mainstream. This course is designed to equip students with knowledge about the burgeoning concept known as The Metaverse and the skills necessary to participate in building for and shaping the future of this field. Students will gain the ability to successfully identify the components of The Metaverse, the opportunities they present, and the reasons to remain skeptical as well as potential obstacles to overcome.
Requisites: None.
Offered: Fall, Spring.
MSITM 6330 (3-3-0) Digital Ethics
This course gives an introduction to ethics and explores the social, legal, and cultural issues arising from current and emerging technologies. Technologies considered include AI, self-driving cars, cryptocurrencies, blockchains, cybersecurity, IoT, digital and mainstream media. Issues like fake news, net neutrality, broadband and telecommunication regulation, intellectual property rights, privacy, and government are addressed, and Christian viewpoint presented.
Requisites: None.
Offered: Fall, Online.
MSITM 6331 (3-3-0) AI Revolution: Transforming the Digital Landscape
The AI Revolution course is designed to equip students to future-proof organizations and transform the world. Students will gain a profound understanding and the capability to shepherd their organizations through this AI-led revolution. This course builds upon a rock-solid foundation of visionary thinking, strategic planning, transformative design, and the adept selection of technology platforms. Every module is interwoven with Biblical insights, ensuring that as we navigate the new digital frontier, we do so with integrity, wisdom, and a heart aligned with word of God.
Requisites: None.
Offered: Fall, Spring, Summer, Online.
MSITM 6332 (3-3-0) User Experience Principles
Students will explore how design facilitates the interaction between management, technology, and leadership for creating new products, experiences, and solutions. Students will learn the basics of User Experience (UX) and how they can solve real-world business problems using technology with a user-centric approach. Students will explore various UX Principles, evaluating, and analyze organizations from a Lean UX perspective by applying Design Thinking techniques. Students will learn how to improve products and transform organizations with an efficient and effective User Experience by applying UX principles.
Requisites: MSITM 6307, MSITM 6320.
Offering: Fall, Spring, Summer.
MSITM 6333 (3-3-0) User Experience Analytics
This course is designed to provide the required tools to measure the User Experience. These metrics allow students to solve real-world business problems using technology with a user-centric approach with quantitative evidence. Students will learn about the analytics involved in User Experience, including analysis, finding problems, providing solutions, measurement, and reporting. Students will be able to identify advantages and strong arguments of using analytics in the UX process. By measuring the User Experience from a quantitative approach, students will learn how to get a full picture of users engaging with websites, applications, products, and services.
Requisites: MSITM 6307, MSITM 6320, MSITM 6332.
Offering: Fall, Spring, Summer.
MSITM 6334 (3-3-0) Customer Experience Intimacy
Students will explore how design facilitates the interaction between management, technology, and leadership for creating an awesome customer experience (CX). Students will learn the basic concepts of CX, CX intimacy, design and improvement, customer journey management (CJM), including customer journey mapping, creating a customer-centric culture and mindset across all levels of the organization.
Requisites: MSITM 6307, MSITM 6320.
Offered: Fall, Spring, Summer.
MSITM 6335 (3-3-0) UX Design and Strategy
Students will learn how Design facilitates the interaction between management, technology, and leadership for creating new products, experiences, and solutions through experience design (XD). They will learn the latest trends in experience design and strategy, consumer preferences, personalization, applying design principles, and leading digital transformation through focus on the customer, innovative exemplary customer experiences, and employee engagement.
Requisites: MSITM 6307, MSITM 6320.
Offered: Fall, Spring, Summer.
MSITM 6339 (3-3-0) Product Management
The Product Management course is designed to equip students to create an enduring product vision and develop market strategy for products.The focus will be on product management process from product strategy to specification, execution, launch, and growth. Students will form teams and apply their learning to a practical product.
Requisites: None.
Offered: Fall, Spring.
MSITM 6341 (3-3-0) Python
This course is an introduction to the Python programming language for students planning to take the Business Intelligence and Analytics concentration. Topics include data types, control flow, object-oriented programming, graphical user interface-driven applications, as well as text processing, web crawling and parsing, statistics, and data visualization. No prior programming experience is required. Students will explore the large standard library of Python, which supports many common programming tasks.
Requisites: MSITM 51.525.
Offered: Fall, Spring.
MSITM 6353 (3-3-0) Quantum Computing Application
This course focuses on applications and current challenges in quantum computing. Current software development tools will be used for hands-on experience. Topics will be covered among the following: variational quantum eigensolver, quantum approximate optimization algorithm, quantum simulations, investigating quantum hardware, quantum cryptography, error correction, and other advanced topics.
Requisites: MSITM 5351.
Offered: Fall, Spring, Summer.
MSITM 6354 (3-3-0) Quantum Information Science Capstone
The capstone project gives students the ability to take knowledge and theory learned in the Quantum Information concentration and apply it in a real-world setting. Students have the opportunity of experiential learning and putting into practice how Quantum Computing techniques can help incorporate technology in the industry. This is an external project with an Information Technology organization or organizations that want to pursue Quantum research/programming.
Requisites: MSITM 51.526, MSITM 6341, MATH 2309, MSITM 6351, MSITM 6352, MSITM 6353.
Offered: Fall, Spring, Summer.
MSITM 6355 (3-3-0) Cloud Security and Compliance
Cloud Security and Compliance delves into the intricacies of securing cloud infrastructures against evolving cyber threats while meticulously adhering to multifaceted regulatory frameworks. In an era where data integrity and legal compliance are paramount, this course empowers participants with the technical prowess to safeguard cloud ecosystems and ensure compliance with complex data protection mandates. The Cloud Security and Compliance course offers an in-depth exploration of the interplay between cloud technology, data protection, and regulatory compliance.
Requisites: MSITM 5350
Offered: Spring
MSITM 6356 (3-3-0) Cloud Architecture and Design
The Cloud Architecture & Design course prepares students to thrive in the dynamic landscape of cloud technology, bridging the gap between IT and management while meeting the growing demand for skilled cloud architects. Students will gain a deep understanding of cloud architecture principles, design considerations, and practical strategies. Students will develop skills to strategically align cloud solutions with business objectives, make informed architectural decisions, and integrate security measures throughout the cloud lifecycle.
Requisites: MSITM 5350
Offered: Fall.
MSITM 6357 (3-3-0) Cloud Infrastructure and Networking
The Cloud Infrastructure & Networking course offers students an immersive exploration of the foundational pillars that underpin modern cloud operations. Through a blend of theoretical insights and hands-on practical experience, students will unravel the intricacies of cloud infrastructure and networking, equipping them to architect, deploy, and manage resilient and scalable cloud environment. Topics include foundational components of cloud infrastructure, including virtualization, compute resources, storage, and network architecture.
Requisites: MSITM 5330 and MSITM 6356
Offered: Spring
MSITM 6360 (3-3-0) AI Techniques for Data Scientists
The course is designed to provide students with a comprehensive understanding of advanced AI techniques and their applications in the context of data science for information technology and management. The course will cover theoretical foundations, hands-on implementation, and strategic implications, equipping students with the skills to leverage AI for data-driven decision-making in complex business and IT environments.
Requisites: MANA 5302, MSITM 6341, MSITM 6302.
Offered: Fall.
MSITM 6361 (3-3-0) Deep Learning
The Deep Learning course, infused with a Judeo-Christian worldview and ethical foundation, aims to equip students with a solid understanding of deep learning techniques and their practical applications in the realm of information technology and management. The course will delve into both the theoretical underpinnings and hands-on implementation, enabling students to harness the power of deep learning to address complex challenges in technology and management contexts.
Requisites: MANA 5302, MSITM 6341.
Offered: Spring
MSITM 6362 (3-3-0) AI Enterprise Strategy and Implementation - Building a Center of Excellence in AI (S-L)
The AI Enterprise Strategy & Implementation course is designed to offer participants a strategic blueprint for integrating AI into their organizations, going beyond mere adoption to achieving transformative results. This course dives deep into the conceptualization and establishment of a Center of Excellence (CoE) in AI—an organizational nexus that ensures AI's strategic alignment with business objectives, fosters innovation, and maintains a gold standard in AI endeavors. Students will gain insights into the nuances of building a CoE, from laying its foundational framework to ensuring its optimal operation in sync with broader business functions. This course contains a field-based service-learning component.
Requisites: None.
Offered: Fall.
MSITM 6363 (3-3-0) AI Governance, Risk and Compliance (Including Legal)
The "AI Governance, Risk & Compliance course provides an in-depth exploration of the intricate challenges and opportunities presented by the rapid adoption of artificial intelligence (AI) technologies in the contemporary business landscape. This course is tailored to equip professionals with the essential knowledge and tools required to navigate the evolving domain of AI governance, understand inherent risks, ensure strict compliance, and address the pressing legal concerns associated with AI's unique capabilities.
Requisites: None.
Offered: Spring.
MSITM 6364 (3-3-0) Generative AI Use Cases: Practical Approaches for Greater Success (S-L)
The Generative AI use case course is designed to cultivate future IT and business leaders who can navigate the evolving AI frontier with both expertise and moral clarity. The course provides a comprehensive exploration of Generative AI and its myriad of applications. Students will engage in critical discussions around AI's role in society, the responsibilities of its creators and users, and the broader ramifications of a world increasingly influenced by machine-generated content. While it provides technical and practical insights, it also integrates ethical reflections derived from the Judeo-Christian worldview. This course contains a field-based service-learning component.
Requisites: None.
Offered: Fall, Spring, Summer.