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Master of Science in AI and Technology Management (MSAI)

Program Description

The Master of Science in AI & Technology Management (MSAI) provides learners with the skills necessary to lead the strategic integration of artificial intelligence and cutting-edge technologies across organizations. Learners will be equipped with the essential skills to drive purposeful transformation, enhance operational efficiency, and deliver exceptional customer value. The program moves beyond simple automation and digital transformation, covering skills to reimagine business processes through design thinking and strategic technology implementation. The curriculum covers AI fundamentals, strategic technology management, ethical considerations, and real-world AI applications across diverse sectors like finance, marketing, and HR.

Graduates will be prepared for leadership roles such as AI Project Manager, Digital Transformation Strategist, and AI Product Manager, driving AI and technology initiatives within organizations of all sizes. This program enables learners to not only understand, but also lead, the changes that AI will bring to business, equipping them to navigate and thrive in the rapidly-evolving digital landscape. 

Nexford University selected the Master of Science in AI and Technology Management (MSAI) degree for two primary reasons:

  1. The MSAI addresses the growing demand for professionals capable of strategically applying artificial intelligence and emerging technologies to complex organizational challenges, enabling businesses to innovate, optimize operations, and adapt in rapidly evolving industries.

  2. The MSAI prepares learners for advanced career roles by equipping them with leadership, technical, and strategic skills including AI integration, technology management, ethical governance, and effective communication to drive transformation, guide organizational change, and deliver measurable business impact.

Program Outcomes

  1. Develop leadership communication strategies to align human teams and technology in achieving business goals.

  2. Implement technology-driven innovations that optimize business processes and create competitive advantage.

  3. Analyze global AI trends and emerging technologies to inform strategic decision-making in diverse industries.

  4. Create scalable strategies that apply technology management principles and leverage AI to drive organizational outcomes.

  5. Evaluate modern social, legal, and ethical issues arising from the use of emerging technologies.

  6. Lead continuous innovation and change management to maintain a competitive edge in a fast-changing tech landscape.

AIA 6800 AI & Technology Management Capstone Course Outcomes

  1. Conceptualize innovative, AI-driven solutions to complex organizational challenges.

  2. Formulate comprehensive technology strategies that integrate principles of AI, operations, and product management.

  3. Design governance frameworks that embed ethical, legal, and security principles into technology innovation.

  4. Devise strategies to lead technology-driven organizational change and communication.

  5. Create value-realization frameworks to validate strategic technology initiatives and measure their impact.

  6. Articulate complex technology management strategies persuasively to executive audiences.

Program Structure

Core Requirements

AIA 6550

Data Sciences for Decision Making

3 credits

AIA 6700

AI Strategy for Business Transformation

3 credits

BAN 6440

Applied Machine Learning for Business Analytics

3 credits

ENT 6001

Essential Power Skills for Leaders & Entrepreneurs *

1 credit

OPM 6090

Technology & Operations Management

3 credits

BUS 6410

The Law & Ethics of Information Technology

3 credits

MHY 6750

Cybersecurity Leadership

3 credits

MHY 6850

Tech-Enabled Product Management

3 credits

ECM 6700

Leading AI-Driven Transformation 

3 credits

AIA 6800

AI & Technology Management Capstone **

3 credits

Core Total: 28 credits

Elective Requirements

Learners choose three of the following courses:

AIA 6650

Robotics and Automation

3 credits

FNT 6200

Machine Learning Technology for Finance

3 credits

MKT 6080

Marketing Strategy

3 credits

PRD 6100

Executing a Vision: Product Design & Development for Entrepreneurs

3 credits

BAN 6450

Information Visualization & Communication

3 credits

HCM 6140

Digital Transformation and Health Informatics

3 credits

Elective Total: 9 credits

Degree Program Total: 37 credits

** Denotes courses that have prerequisite(s). Refer to the course descriptions for further details.

* A four-week, one-credit seminar course represents approximately 10 hours of work per week. The time is spent on several types of collaborative learning, including synchronous and asynchronous work. The synchronous sessions are a mix of large-group and small-group breakout sessions facilitated by the course instructor. Sessions include simulations, role plays, and inquiry-based conversations. The synchronous work includes scripted feedback, personal and shared reflections, and individual assignments.

The late work submission policy does not apply to seminar courses.

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