Program Description
The Bachelor of Applied Science in Management and AI in Business (BASMAIB) prepares early-career professionals to move into management roles while learning how to use artificial intelligence and modern digital tools to operate more productively across business functions. The program emphasizes practical skill development in areas such as operations, project management, finance, marketing, and people management, while integrating the use of artificial intelligence to improve decision-making, streamline processes, and enhance organizational performance.
Through applied, real-world scenarios and business projects, learners develop capabilities in problem-solving, operational leadership, and team coordination. The program equips graduates to transition from operational roles into supervisory and management positions across a range of industries, combining practical business expertise with the effective use of AI and digital technologies.
Program Outcomes
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Demonstrate practical knowledge of core business management concepts including operations, finance, marketing, project management, and organizational performance.
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Apply management, problem-solving, and decision-making techniques to improve team performance, operational efficiency, and business outcomes in organizational settings.
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Use artificial intelligence and modern digital technologies across business functions to automate routine work, analyze data, improve productivity, and support business decision-making.
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Analyze business processes, workflows, and operational data to identify opportunities for improvement and implement technology-enabled solutions.
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Manage projects, initiatives, and cross-functional work using structured project management, process improvement, and agile collaboration practices.
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Communicate business insights, recommendations, and solutions effectively through professional written, visual, and verbal communication with diverse stakeholders.
AIB 4250 AI in Business Capstone Course Outcomes
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Synthesize strategic analysis and organizational factors to define a complex business problem and justify the need for technology-driven change.
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Design a comprehensive high-level technical solution blueprint, including data architecture and platform components, to address the defined problem.
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Analyze project data and model outputs to derive actionable insights and validate solution impact and ROI.
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Evaluate ethical, legal, and security risks and formulate governance strategies to manage organizational and employee impact.
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Apply strategic implementation planning, resource allocation, and change management principles to execute a project roadmap.
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Communicate a complete strategic plan, technical justification, and financial rationale through executive-level deliverables.
Program Structure
General Education Requirements
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Written and Oral Communications
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COM 1200 |
Professional Communication |
3 credits |
Quantitative Principles
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QRS 1250 |
Programming Fundamentals for Business |
3 credits |
Natural and Physical Science
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SCI 2150 |
Environmental Science |
3 credits |
Social and Behavioral Sciences
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PSY 1200 |
Decoding the Digital Consumer |
3 credits |
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General Education Total: 12 credits |
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Core Requirements
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AIA 1100 |
AI Innovator's Roadmap |
3 credits |
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BUS 2200 |
Principles of Management |
3 credits |
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AIA 2100 |
Introduction to AI |
3 credits |
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BAN 2100 |
Data Analytics |
3 credits |
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ACC 2250 |
Accounting for Managers |
3 credits |
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BUS 2250 |
Business Career Branding for Success |
3 credits |
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HRM 2100 |
Managing People Resources |
3 credits |
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DTF 2100 |
Fundamentals of Digital Transformation |
3 credits |
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FIN 2100 |
Fundamentals of Financial Management |
3 credits |
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OPM 2100 |
Process & Quality Management |
3 credits |
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AIA 2150 |
Cloud Computing for AI & Business |
3 credits |
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MKT 2100 |
Marketing Fundamentals |
3 credits |
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AIA 3210 |
Intelligent Process Automation |
3 credits |
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BAN 3100 |
Data Storytelling & Visualization |
3 credits |
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PRO 3200 |
Project Management |
3 credits |
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PRD 4200 |
AI-Powered Customer Experience |
3 credits |
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BUS 3150 |
Governance and Law for Intelligent Systems |
3 credits |
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AIB 4250 * |
AI in Business Capstone |
3 credits |
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Core Total: 54 credits |
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Elective Requirements
Learners choose 8 of the following: |
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MKT 2250 * |
Professional Selling & Relationship Management |
3 credits |
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ENT 2100 |
Introduction to Entrepreneurship |
3 credits |
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BAN 3200 |
Machine Learning and Predictive Analytics |
3 credits |
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AIA 3120 |
Low-Code Development |
3 credits |
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FIN 3150 * |
Corporate Finance and Investment Analysis |
3 credits |
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FIN 4100 |
FinTech and AI in Financial Services |
3 credits |
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BUS 2300 |
Organizational Relationships |
3 credits |
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HRM 2200 |
Staffing and Development |
3 credits |
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PRD 4100 |
Product Design |
3 credits |
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PRD 4250 |
Agile Leadership |
3 credits |
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SCM 2100 |
Introduction to Supply Chain Management |
3 credits |
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SCM 4200 |
Digital Supply Chain & Automation Strategy |
3 credits |
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Electives Total: 24 credits |
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Degree Program Total: 90 credits | Standard Program Length: 36 months |
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* Denotes courses that have prerequisite(s). Refer to the course descriptions for further details.
Dual Credit - Learners who are in good academic standing with a minimum CGPA of 3.2 may select up to four of the following graduate-level elective courses.
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MSAI Dual Credit Courses
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AIA 6700 AI Strategy for Business Transformation
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BAN 6440 Applied Machine Learning for Business Analytics
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ECM 6700 Leading AI-Driven Transformation
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MHY 6850 Tech-Enabled Product Management
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OPM 6090 Technology & Operations Management
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MBA Dual Credit Courses
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ACC 6050 Accounting and Financial Reporting
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AIA 6550 Data Sciences for Decision Making
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AIA 6650 Robotics and Automation
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AIA 6600 Artificial Intelligence
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BUS 6130 Corporate Sustainability
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GBL 6850 Art of Communication
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MKT 6080 Marketing Strategy
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