Courses - Spring 2025
BUDT702
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.
BUDT704
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.
BUDT723
Business Process Analysis for IS
Credits:
2
Grad Meth:
Reg
Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith.
Helps students gain a solid foundation in the concepts, processes, tools, and techniques needed in analyzing business processes and conducting information systems projects.
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.
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.
BUDT737
Enterprise Cloud Computing and Big Data
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.
Uses a learning-by-doing approach to understand key concepts behind Cloud Computing and Big Data , the strategic drivers of these technologies and the value propositions that they provide to industry. The course cover technologies within this ecosystem including Hadoop, AWS, Pig, Hive, Amazon Web Services and Spark. The focus is on creating awareness of the technologies, providing some level of familiarity with them through hands-on exercises and projects, and enabling strategic thinking around the use of these technologies in business.
BUDT738
Industry Seminar
Credits:
0
Grad Meth:
S-F
BUDT751
Harnessing AI for 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.
Artificial Intelligence (AI) is penetrating our daily routines deeply and is revolutionizing almost every aspect of business. Firms are increasingly using technologies such as natural language processing, neural networks, and deep learning to generate deep insights. At the same time, AI algorithms are challenged by issues of bias, ethics, and transparency. This course aims to equip students with the essential knowledge of the current wave of AI. It uses a hands-on, learning-by-doing approach to understanding the concepts behind AI, the strategic drivers of these technologies and the value propositions that they provide to industries. The focus is on creating awareness of the technologies, allowing some level of familiarity with them through assignments, and enabling some strategic thinking around the use of these in business.
BUDT753
Blockchain Technologies and Business Applications
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.
Creates a strong business and technical foundation for Blockchain, starting with an in-depth discussion of the business inefficiencies that the Blockchain technology has the potential to address. This is followed by reviewing the computer science fundamentals related to cryptology, distributed computing, and peer-to-peer architectures that Blockchain systems rely on. The course then provides a comprehensive understanding of Bitcoin including its limitations, and the work that has been done to date to address these limitations. Alternate Blockchain implementations such as Ethereum and Hyperledger are discussed with a focus on smart contracts. The course will also cover potential business applications in Finance, Healthcare, Supply Chain, and Arts/Media/Entertainment. Students will be exposed to current research problems and research efforts in progress.
BUDT754
IoT Applications for 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.
The IoT is enabling the digitization and internet connectivity of most physical things. The focus of this course is to provide students an in-depth understanding of the technology components of the IoT architecture, infrastructure, data and analytics so that they are equipped to develop business applications using IoT that deliver business outcomes.
BUDT758D
Special Topics in Decision, Operations and Information Technologies; Data Visualization & Web Analytics
Credits:
3
Grad Meth:
Reg
BUDT758I
Special Topics in Decision, Operations and Information Technologies; Applied Finance Information Systems
Credits:
2
Grad Meth:
Reg
BUDT758J
Special Topics in Decision, Operations and Information Technologies; Enterprise Cloud Computing & Big Data
Credits:
3
Grad Meth:
Reg
BUDT758O
Special Topics in Decision, Operations and Information Technologies; Designing AI Systems
Credits:
2
Grad Meth:
Reg
BUDT758T
Special Topics in Decision, Operations and Information Technologies; Data Mining and Predictive Analytics
Credits:
3
Grad Meth:
Reg
BUDT758V
Special Topics in Decision, Operations and Information Technologies; Operations Analytics
Credits:
2
Grad Meth:
Reg
For MS in Business Analytics students only.
BUDT758X
Special Topics in Decision, Operations and Information Technologies; Sustainability Analytics
Credits:
2
Grad Meth:
Reg
Application Required. This course is intended for students who are interested in building an understanding of topics that are at the intersection of sustainability and analytics. This will be taught in a seminar format where the student's ability to work independently is assumed and classroom engagement is critical. We will build on foundational learnings from prior courses in the program.
BUDT758Z
Special Topics in Decision, Operations and Information Technologies; Computer Simulation for Business Applications
Credits:
2
Grad Meth:
Reg
BUDT759
Independent Study in Decision and Information Technologies
Credits:
1 - 6
Grad Meth:
Reg, S-F
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University of Maryland, College Park, MD 20742, USA
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