>> MS-AIB future students
MS-AIB custom track
Add a third-semester custom track — including four courses of your choosing — to maximize the value of your Master of Science in Artificial Intelligence in Business (MS-AIB) program. The MS-AIB custom track builds upon the core curriculum with complementary experiences and courses that prepare you for a variety of dynamic careers. You’ll gain a unique perspective to leverage AI in your context and across business ecosystems, while adding just one more semester to your degree.
Choosing to add this optional third-semester track will extend the length of your program. Adding the custom track will also impact your overall program cost. Prerequisites may be required for some courses. Ask a recruiter to learn more.
Customize your curriculum
MS-AIB students who add the custom track can select four courses. from any of the following areas, including topics in computer information systems, financial technology, marketing, accounting, and supply chain management. More courses will be added as the space evolves and new options become available.
Tech management and consulting
Learn how AI-driven tech consulting helps businesses make data-informed decisions about strategy development and how AI cloud computing enhances data management and decision-making. The following courses can help you gain additional technical business skills needed to optimize business operations with AI.
Provides a broad survey of information security and controls, utilizing industry-based frameworks to illustrate how information security programs are developed, delivered and operationalized in organizations today. Develops an understanding of the issues associated with information security with particular emphasis on how management contributes to the effectiveness of an organization's information security program.
For students who seek an overall understanding of the architecture and platforms of cloud computing from a business perspective. Provides a detailed overview of cloud concepts, core services, security, architecture and support to improve the outcomes of the enterprise.
Understanding how organizations make use of Business Intelligence (BI) to gain a sustainable competitive advantage. Builds the foundations for evidence-based managerial decision making. Covers technologies for data warehousing and data mining from a managerial perspective. Covers contemporary topics such as real-time BI, business analytics, and business performance management with the help of case studies, audio-video content, guest speakers, online forums to generate creative thinking and discussion.
The design of insightful business data visualizations and dashboards to improve business decision making. Key focus on data visualization design principles incorporating graphical integrity. Applies advanced data visualization techniques to make sense of large data sets such as temporal, geospatial, topical and business data while also making it easier to digest, present and utilize for business needs and users.
Explores the strategic value of information technology (IT). Identifies competitive advantages derived from IT solutions along with IT's impacts on strategy formulation and business operations. Discusses economic issues, benefits and risks associated with IT. Instills in students a balanced and disciplined view of IT and business with their interplay. Explicates the importance of aligning IT and business strategies to enable strategic positioning and achieve operational effectiveness. Assigns cases and assignments involving the symbiotic relationship of IT and business to provide real-world exposure for critical thinking and engaging discussion.
Financial technology
Explore the intersection of AI and FinTech, learning how AI makes financial services and products more secure and accessible by improving fraud protection and efficiency. With the expertise developed in these FinTech courses, you can help drive financial innovation and create more inclusive economies.
Empirically investigates properties of financial data such as basic probability theory, matrix algebra, ordinary least squares, and maximum likelihood estimation. Explores these methods both through algebraic derivation and programmed implementation in PYTHON. Provides the basis for portfolio optimization by focusing on the estimation and testing of financial factor models.
Investigates financial data by using techniques such autoregressive and vector-autoregressive models, dimension-reduction techniques motivated by latent factor models and machine learning dimension-reducing techniques. Explores these methods using algebraic derivation and implementation in PYTHON. Builds on the statistical and programming skills developed in FIN 509 and emphasizes forecasting for the optimization of portfolios.
Blockchain is a revolutionary technology incorporating aspects of data science, economics, computer science, and law. The course allows students to obtain basic understanding of the blockchain technology as it relates to financial technology (FinTech) with applications to cryptocurrencies, smart contracts, and decentralized finance.
Presents the fundamental principles of risk and return, portfolio diversification, asset allocation, efficient markets, active portfolio management, portfolio evaluation. Reviews selected alternative investment strategies such as hedge fund investments.
Intermediate- to advanced-level course in derivative assets such as options, forward and futures contracts, swaps and financial engineering.
Develops analytical techniques and financial theories used to make optimal decisions in a corporate setting.
Explores modern artificial intelligence (AI) and machine learning (ML) technology, applications, techniques and their implications for finance.
Marketing
The marketing industry is evolving rapidly, with AI-driven tools changing how businesses understand and engage with consumers. Explore AI's role in transforming marketing analytics and personalized customer experiences, diving into digital marketing research and strategy development for unique audiences and businesses.
Covers three major components: (1) a consideration of what it means to be 'customer centric'; (2) development of qualitative and quantitative market research techniques; and (3) application of this material to project situations.
Managing the marketing function; market and environmental analysis; marketing planning, strategy, and control concepts. Development and management of marketing programs.
Some of a firm's most valuable assets are its brands. Building and effectively maintaining brand equity is one of a firm's top priorities. This course provides an understanding of strategic brand management and provides students with insights into how sustainable and customer-centric brand strategies can be created and leveraged over time.
Gives the applied understanding of the internet marketplace that allows students to adapt to its many changes, while also equipping them with the practical skills needed to perform vital daily functions. Covers Web experience, SEO, search ads, social media marketing, content marketing, email marketing, mobile marketing. Through this process, students learn how digital marketing has revolutionized the interactions between firms and consumers.
Provides the tools and specialized knowledge for developing and executing marketing strategy in the business-to-business market. Covers how to identify forces that drive buying behavior in organizations, measure market opportunity, identify profitable segments, and develop strategy, particularly for turbulent, high-technology markets.
Involves formulating critical marketing problems, developing relevant testable hypotheses, collecting and analyzing data and, most importantly, drawing inferences and suggesting actionable implications.
Accounting
AI technologies enhance accounting and auditing processes, offering organizations more accurate and secure financial data. Explore how AI-driven techniques can streamline back-end operations and standardize workflows. These courses equip you with the skills to strategically analyze and leverage real-time data visibility across verticals to drive business outcomes.
Addresses analytics in accounting, auditing and tax contexts. Focuses on the introduction of methods and techniques to analyze data sets while also making it easier to interpret, present and utilize the results for financial decision making. Presents frameworks and approaches to equip students to recognize and interpret patterns in data and models and recommend actions. Teaches multiple concepts to improve decision making related to accounting data. Also serves as a practical introduction to the extraction, cleaning and transformation of data for accounting applications.
Addresses analytics in accounting, auditing and tax contexts. Focuses on the methods and techniques to analyze data sets while also making it easier to interpret, present and utilize the results for financial decision making. Presents additional frameworks and approaches to equip students to recognize and interpret patterns in data and models and recommend actions. Students learn multiple concepts to improve decision making related to accounting data. Also serves as a continuation of the extraction, cleaning and transformation of data for accounting applications.
Focuses on understanding the role of technology-related innovations on audits and auditing performance. Looks at both capturing data from recent innovations in technologies for audit applications (e.g., IoT) as well as examining the roles of these recent technology innovations for audit performance (e.g., cognitive computing).
Supply chain management
AI is critical to various aspects of supply chain management operations, from demand forecasting and inventory management to supplier evaluation. Explore how global businesses use AI to streamline processes, reduce costs, and improve supply chain resilience. These courses will immerse you in strategic change and innovative development in supply chains.
Studies management of the conversion of raw materials to finished goods including scheduling, work-in-process inventory management, and postponement/customization. Students gain a deeper understanding of the integrated supply chain of plan, source, make, deliver and return.
Explores supply chain management topics including environmental, project and supply chain processes. Additionally, covers processes in the areas of new product introduction development; quality control; TQM (Total Quality Mgt).
Covers theories and practices of modern logistics management within a market-driven supply chain. Begins with an outline of reasons why some operations are not efficient, then introduces management tools to improve efficiency and responsiveness followed by application of analytical tools to evaluate the current logistic management practices. Topics include logistics strategy, demand management, distribution and warehouse management, distribution/warehouse design and location decisions, transportation and delivery frequency, reverse logistics, humanitarian logistics and responsive supply chains.
Applies principles, philosophies and processes of supply management to facilitate the continuous improvement and strategic design of an organization's supply management system on a global basis. Focuses on topics like performance management and analytics, project management and governance and finance. Provides a comprehensive understanding of supply management and its impact on the organization.
>> More options are available upon request. Contact the school to learn more about building your own custom track.