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Courses - Fall 2024
BUDT
Decision and Information Technologies Department Site
Open Seats as of
07/18/2024 at 07:30 AM
BUDT700
(Perm Req)
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
(Perm Req)
Database Management Systems
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.
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.
BUDT703
(Perm Req)
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.
BUDT704
(Perm Req)
Data Processing and Analysis in Python
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: BUDT758X OR BUDT704.
Formerly: BUDT758X.
An introduction to the Python programming language for the purpose of processing, analyzing, and visualizing data. In addition, students will be introduced to developing basic regression, optimization, and simulation models in Python, using highly popular packages. Course emphasis is on mastering basic Python functionality and developing intermediate to advanced skills in working with data, through instruction and active learning.
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
(Perm Req)
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
(Perm Req)
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
(Perm Req)
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.
BUDT730
(Perm Req)
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
(Perm Req)
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
(Perm Req)
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.
BUDT733
Data Mining and Predictive Analytics
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.
With vast quantities of data being generated, including new types of data such as web traffic, social network data, and reviews and comments on websites, "big data" and "analytics" are important topics. Data, when used correctly, can create a competitive edge for firms. Advances in computing hardware and algorithms have improved the quality of predictions and effectiveness of predictive business applications. Expertise in working with data, and deep knowledge of data mining/machine learning methods, is a sought-after skill. This course introduces key tools and techniques of data mining: classification, prediction, cluster analysis, and text mining. The methods covered are linear and logistic regression, k-nearest neighbors, naive Bayes, classification and regression trees, ensemble methods, neural networks, k-Means and hierarchical clustering, and association rules. The course will focus on business applications, with examples from Marketing, Finance, Healthcare, and Operations.
BUDT738
(Perm Req)
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
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.
BUDT758I
Special Topics in Decision, Operations and Information Technologies; Applied Finance Information Systems
Credits: 2
Grad Meth: Reg
BUDT758L
(Perm Req)
Special Topics in Decision, Operations and Information Technologies; Price Optimization & Revenue Management
Credits: 3
Grad Meth: Reg
For MS in Business Analytic students only.
BUDT758M
Special Topics in Decision, Operations and Information Technologies; Healthcare Information Systems
Credits: 2
Grad Meth: Reg
For MS in Information Systems students only.
BUDT758W
(Perm Req)
Special Topics in Decision, Operations and Information Technologies; Capstone Project in Business Analytics
Credits: 3
Grad Meth: Reg
BUDT759
(Perm Req)
Independent Study in Decision and Information Technologies
Credits: 1 - 6
Grad Meth: Reg, S-F
Contact department for information to register for this course.