Courses - Fall 2026
BUDT700
Business Communication
Credits:
1
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith School of Business.
Credit only granted for: BUDT758A or BUDT700.
Formerly: BUDT758A.
Consists of written and oral base-line assessments. Students will meet with Program administrators to receive feedback on these assessments and create an individualized development plan. Workshops and core course assignments, Smith-related activities and CMP assignments.
BUDT702
AI Augmented Database Management
Credits:
2
Grad Meth:
Reg
Restriction: Must be admitted to the appropriate graduate business program; or permission of the Masters Programs Office at the Robert H. Smith School of Business.
This course introduces the foundations of data management by integrating traditional database principles with contemporary artificial intelligence (AI), and analytics techniques. Students explore database management system (DBMS) architecture, the database environment, and data warehousing concepts within modern organizational contexts. The course emphasizes AI-enhanced data modeling using entity-relationship (ER) and relational models, principles of logical database design, normalization, and the application of intelligent analytics. Students examine business rules and their role in ensuring data integrity, consistency, and governance. Practical components include structured query language (SQL), AI-assisted query generation and optimization to support data-driven decision-making. Additional topics may include distributed databases, web-based database services, cloud-based data environments, graph databases, and introductory data mining concepts.
BUDT703
Database Management Systems
Credits:
3
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith School of Business.
Credit only granted for: BUDT758Y OR BUDT703.
Formerly: BUDT758Y.
Introduction to the conceptual, logical and physical design of relational database systems and their use in business environments. Topics include information modeling and optimization via normalization; Structured Query Language (SQL); Data Warehousing.
Cross listed with BDBA808L. Credit granted for only BUDT703 or BDBA808L.
BUDT704
AI Augmented Data Processing and Analysis
Credits:
3
Grad Meth:
Reg
Restriction: Must be admitted to the appropriate graduate business program; or permission of the Masters Programs Office at the Robert H. Smith School of Business.
This course provides a comprehensive introduction to the world of data programming with Python, augmented by the power of Artificial Intelligence (AI). Designed for beginners, this course will equip students with the essential skills to analyze data, automate tasks, and build intelligent applications. Students will learn fundamental Python programming concepts, explore AI algorithms and techniques, and gain practical experience working with real-world data. Through hands-on labs and projects, students will discover how to leverage AI to extract meaningful insights from data, build AI-powered tools, and develop a deeper understanding of the growing role of AI in data science. No prior programming experience is required.
BUDT705
Data Visualization for Business
Credits:
2
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith.
An introduction to data visualization techniques. Data-driven decisions are increasingly embedded in business organizations, so professionals must be able to explore and communicate data with understandable and powerful visualizations.
BUDT721
Digital Transformation in Business
Credits:
2
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith School of Business.
Credit only granted for: BUDT758E or BUDT721.
Formerly: BUDT758E.
Introduces students to the strategic role of digital transformation within businesses, and provides an overview for how major information technologies may be used to inform and transform the firm's strategic, operational, and tactical decisions. Topics discussed in the course include the strategic use of digital technologies to generate sustainable competitive value; the contributions of new forms of technology infrastructure; the evaluation of new technology investments and the resulting ROI; acquiring, managing and governing technological capabilities within the firm; understanding the role of enterprise systems and social technologies within the firm; and the management of disruptive technologies within and outside the firm.
BUDT722
Managing Digital Business Markets
Credits:
2
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith.
Credit only granted for: BUDT758G or BUDT722.
Formerly: BUDT758G.
The objective is to understand the strategic and tactical issues involved in managing digital businesses and markets. Also, some of the characteristics of digital businesses and markets that make them unique and understand how companies can best manage them will be examined.
BUDT724
Project Management in Dynamic Environments
Credits:
2
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith.
Addresses project management skills that are required by successful managers in increasingly competitive and faster-moving environments. Examines fundamental concepts of successful project management, and the technical and managerial issues, methods, and techniques.
Cross-listed with BDBA808R. Credit granted only for BUDT724 or BDBA808R.
BUDT730
Data Models and Decisions
Credits:
3
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith.
Credit only granted for: BUSI758B, BUDT758Q or BUDT730.
Formerly: BUDT758Q.
Analytical modeling of business decisions; uncertainty, risk and expected utility; regression modeling to infer relationships among variables.
BUDT731
Data, Models, and Decisions Using R
Credits:
2
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith School of Business.
Analytical modeling of business decisions; uncertainty, risk and expected utility; regression modeling to infer relationships among variables.
BUDT732
Decision Analytics
Credits:
3
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith.
Credit only granted for: BMGT732, BUDT758P or BUDT732.
Formerly: BMGT732 and BUDT758P.
Analytical modeling for managerial decisions using a spreadsheet environment. Includes linear and nonlinear optimization models, decision making under uncertainty and simulation models.
BUDT748
Industry Practicum
Credits:
3
Grad Meth:
Reg
BUDT755
Applied Finance Information Systems
Credits:
2
Grad Meth:
Reg
Restriction: Must be admitted to the appropriate graduate business program; or permission of the Masters Programs Office at the Robert H. Smith School of Business.
There has been an explosion in the volume, velocity, and variety of financial data in the last decade. Most financial institutions have automated their processes and digitized their solutions. This has generated a healthy demand for professionals from a variety of fields who not only use cutting edge technologies but also understand financial terminology and concepts. The focus of the course is to introduce students to financial concepts, provide relevant background in the financial industry and teach them the basics of putting together multi-asset portfolios using stocks, bonds, commodities and options instruments. The course requires no background in finance; it uses a practical approach to understanding financial concepts using various open-source technologies such as Python. The IT know-how required for this course is prior experience with Python.
BUDT756
Causal Inference & A/B Testing
Credits:
2
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith School of Business.
Organizations and policymakers in government constantly grapple with such causal questions. For example, firms want to know how does a price change affect the sales of a product, or how to design websites and platforms that increase consumer engagement and lead generation; political parties want to know what on social media sites can boost their political influence, and governments want to know whether allowing parents to pay for private schools using publicly funded vouchers make the education system more effective. In particular, platforms such as Netflix, Airbnb, eBay, Groupon, Booking.com, Uber, Amazon, etc. make extensive and continuous use of A/B tests and have a dedicated team of data scientists and IT-personnel to implement, monitor and analyze such tests. Banks and Insurance companies constitute another important sector where the use of A/B testing is ubiquitous.
BUDT757
Cybersecurity
Credits:
2
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith School of Business.
Distributed technologies and the ability of business to capture increasing amounts of sensitive data have increases the stakes and risks for information security. The focus of this course will be to help students understand cybersecurity frameworks, analytic techniques and enterprise risk management.
BUDT758L
Special Topics in Decision, Operations and Information Technologies; Price Optimization & Revenue Management
Credits:
3
Grad Meth:
Reg
For MS in Business Analytic students only.
BUDT759
Independent Study in Decision and Information Technologies
Credits:
1 - 6
Grad Meth:
Reg, S-F
BUDT770
Capstone Project in Business Analytics
Credits:
3
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith School of Business.
Credit only granted for: BUDT758W or BUDT770.
Formerly: BUDT758W.
The capstone course in the MSBA program provides students in the program with an opportunity to work with a company or an organization on a real-world business analytics challenge. The students will work in teams comprised of MSBA program colleagues to add value to the sponsoring organization. Students will enhance skills in analytics project management and related business issues and improve teamwork skills.
Flagship Institution of the University System of Maryland
University of Maryland, College Park, MD 20742, USA
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301.405.1000
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