Business Analytics and Applied AI Graduate Major (MS)
This program is available at the following locations:
- Corvallis
- Ecampus
The Master of Science in Business Analytics and Applied AI prepares students to harness the power of data and AI technologies to solve current and emerging complex business challenges. This interdisciplinary program blends business strategy with cutting-edge analytical techniques and AI-driven solutions, equipping graduates with the skills needed to extract and communicate meaningful insights from data. Students will learn to implement AI tools, predictive modeling, and machine learning algorithms to drive business innovation, optimize operations, and improve decision-making processes. The program offers concentrations in the key areas Supply Chain Analytics, Environmental Management, Marketing, Finance, Information Systems, as well as a wide range of elective offerings, allowing students to specialize in their chosen area of interest.
Throughout the program, students will engage in hands-on projects and real-world case studies to apply their knowledge in practical settings. By integrating data science, AI, and business acumen, graduates will be prepared to lead data-driven initiatives and navigate the complexities of today’s fast-evolving business landscape. Additionally, the program emphasizes ethical considerations in AI applications, ensuring that graduates are equipped to handle both the technical and societal implications of these powerful technologies. The comprehensive curriculum addresses the growing demand for professionals who can seamlessly integrate AI into strategic business operations across industries.
Major Code: 2020
Upon successful completion of the program, students will meet the following learning outcomes:
- Conduct research or produce some other form of creative work.
- Demonstrate mastery of subject material.
- Conduct scholarly or professional activities in an ethical manner.
- Develop advanced predictive models using machine learning algorithms to forecast business trends and outcomes, demonstrating proficiency in applying regression, classification, and clustering techniques.
- Evaluate data-driven solutions by assessing the reliability, validity, and ethical implications of applying artificial intelligence techniques in business contexts.
- Analyze complex datasets using advanced exploratory methods and data visualization techniques, extracting actionable insights to support strategic decision-making in various industries.
- Design and implement optimized algorithms for specific business problems, leveraging techniques such as deep learning, natural language processing, and large language modeling to improve operational efficiency and performance.
| Code | Title | Credits |
|---|---|---|
| Required Core | ||
| BA 514 | OPERATIONS MANAGEMENT | 3 |
| BANA 560 | BUSINESS ANALYTICS AND AI FOR COMPETITIVE ADVANTAGE | 3 |
| BANA 570 | DATA MANAGEMENT | 3 |
| BANA 571 | DATA EXPLORATION AND VISUALIZATION | 3 |
| BANA 572 | MACHINE LEARNING AND TEXT MINING FOR BUSINESS | 3 |
| BANA 573 | DESIGNING AI PRODUCTS AND SERVICES FOR BUSINESS | 3 |
| BANA 574 | NEURAL NETWORKS AND DEEP LEARNING FOR BUSINESS | 3 |
| BANA 577 | INTEGRATED BUSINESS ANALYTICS PROJECT | 3 |
| Areas of Concentration & Electives | ||
| Select a minimum of 21 credits from the following: 1 | 21 | |
| Business Fundamentals | ||
| BUSINESS LEGAL ENVIRONMENT | ||
| MANAGERIAL DECISION TOOLS | ||
| CREATING VALUE IN EXCHANGE | ||
| MARKETS AND VALUATION | ||
| Supply Chain Analytics | ||
| PRACTICAL BUSINESS ANALYSIS | ||
| SUPPLY CHAIN MANAGEMENT | ||
| SUPPLY AND SOURCING MANAGEMENT | ||
| SERVICE OPERATIONS MANAGEMENT | ||
| SUPPLY CHAIN ANALYTICS | ||
| GLOBAL LOGISTICS MANAGEMENT: FUNDAMENTALS AND STRATEGY | ||
| SUPPLY CHAIN AND LOGISTICS MANAGEMENT CAPSTONE | ||
| Environmental Management | ||
| GREEN BUILDING MATERIALS | ||
| PROJECTS | ||
| ENVIRONMENTAL PERSPECTIVES AND METHODS | ||
| USING BEST PRACTICES IN ENVIRONMENTAL PROJECT MANAGEMENT | ||
| ENVIRONMENTAL MANAGEMENT AND SUSTAINABILITY ASSESSMENT | ||
| GREEN INFRASTRUCTURE | ||
| ENVIRONMENTAL ASSESSMENT | ||
| MULTIDISCIPLINARY CASE STUDIES IN HUMANITARIAN ENGINEERING, SCIENCE AND TECHNOLOGY | ||
| Finance | ||
| FINANCIAL AND COST ANALYSIS | ||
| CORPORATE FINANCE | ||
| FIXED INCOME SECURITIES | ||
| FINANCIAL INSTITUTIONS | ||
| INVESTMENTS | ||
| PORTFOLIO MANAGEMENT | ||
| FINANCIAL RISK MANAGEMENT | ||
| INTERNATIONAL FINANCIAL MANAGEMENT | ||
| ADVANCED CORPORATE FINANCE | ||
| COMMERCIAL BANKING | ||
| INTERNATIONAL FINANCIAL MARKETS | ||
| MERGERS AND ACQUISITIONS | ||
| PRINCIPLES OF FINANCIAL PLANNING | ||
| Marketing | ||
| MARKETING MANAGEMENT | ||
| DIGITAL MARKETING PLATFORMS | ||
| SEARCH MARKETING | ||
| CUSTOMER RELATIONSHIP MANAGEMENT | ||
| PROFESSIONAL SALES | ||
| PERSONAL SELLING SKILLS AND TECHNIQUES | ||
| CONSUMER BEHAVIOR | ||
| INTEGRATED MARKETING COMMUNICATIONS | ||
| RETAIL MANAGEMENT | ||
| GLOBAL MARKETING | ||
| Information Systems | ||
| IT AUDITING | ||
| ADVANCED INFORMATION SYSTEMS | ||
| BUSINESS TELECOMMUNICATIONS AND NETWORKING | ||
| INFORMATION SYSTEMS SECURITY | ||
| Total Credits | 45 | |
- 1
Other concentrations and electives may be accepted with advisor approval
Major Code: 2020