To earn an MBA x Data Science, students must complete the 16 credits of MBA core curriculum, corporate residency, and 12 credit hours from the Khoury College of Computer Sciences listed below. You will also complete 12 credits from a second business concentration of your choosing, and 15 elective credits of which 3 must be experiential in nature.
Required MBA x Data Science Courses
Introduces relational database management systems as a class of software systems. Prepares students to be sophisticated users of database management systems. Covers design theory, query language, and performance/tuning issues. Topics include relational algebra, SQL, stored procedures, user-defined functions, cursors, embedded SQL programs, client-server interfaces, entity-relationship diagrams, normalization, B-trees, concurrency, transactions, database security, constraints, object-relational DBMSs, and specialized engines such as spatial, text, XML conversion, and time series. Includes exercises using a commercial relational or object-relational database management system.
CS 5200 | 4 credits
Provides a broad look at a variety of techniques used in machine learning and data mining; and also examines issues associated with their use. Topics include algorithms for supervised learning including decision tree induction, artificial neural networks, instance-based learning, probabilistic methods, and support vector machines; unsupervised learning; and reinforcement learning. Also covers computational learning theory and other methods for analyzing and measuring the performance of learning algorithms. Coursework includes a programming term project.
CS 6140 | 4 credits
Covers various aspects of data mining, including classification, prediction, ensemble methods, association rules, sequence mining, and cluster analysis. The class project involves hands-on practice of mining useful knowledge from a large data set.
CS 6220 | 4 credits
The curriculum is subject to change by D’Amore-McKim faculty. Please monitor for updates.