Database


M.S. IN COMPUTING


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Businesses continues to run on information stored in databases. Technology continues to evolve and data analysis and architecture are more important than ever as the size of databases continues to grow.

Courses offered in the database concentration:

Course Number

Title

Description

MSCS 5610 or MSCS 6330

Data Mining

Techniques for extracting patterns from large databases. Classification, prediction, clustering, summarization and discrimination.

MSCS 5800 or

MSCS 6380

Principles of Data Base Systems/
Advanced Database Systems

Database concepts and architecture. Data modeling, transaction, security Web access and distributed query.

MSCS 6060 or

MSCS 6350

Parallel and Distributed Systems/
Distributed Computing

Software for parallel and distributed systems, tools, approaches, architecture, heterogeneity, and solving business problems.

MSCS 6370

Information Representation

Grammars and languages for communicating business information in diverse systems.

MSCS 6391

Topics MSCS: Text Mining

Deriving information from text, statistical pattern learning, interfaces to databases, categorization, clustering, concept extraction and summarization.

MSCS 6391

Topics MSCS: Data Warehouse

Use of databases, online analytical processing, ETL, data dictionaries and metadata to support business reporting.

INTE 6150

Information Technology Strategy

Information flow, governance, exploiting information to support the business.


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Summer 2013 Research Experience

The Department of Mathematics, Statistics and Computer Science hosted the NSF-funded Summer 2013 Research Experience (REU) for Undergraduates. This program provides U.S. undergraduates with an intensive, faculty-mentored, summer research experience in the areas of applied mathematics, high-performance computing, statistics, ubiquitous systems and mathematics education. Learn more