This program produces graduates with a broad understanding of both computing principles and computing practice. The program emphasizes the fundamental computing models through the design and analysis of algorithms and software. Included in the program is coursework in a computing application area outside of the School of Engineering such as business or bioinformatics. The program is supported by study in mathematics, science, and engineering. Students gain hands-on experience in the laboratory courses accompanying classroom work, and develop design skills in course work beginning in the first two years. Design experience continues in junior and senior years in the areas of software engineering and in applications areas of the student's choosing, culminating in the one semester Senior Design Project course.<br><br>We live in an era of big data. In every domain of science and engineering voluminous data gets generated. Processing these datasets is a big challenge. A great deal of useful information is hidden in this data. Effective techniques are needed to unravel this information. For instance, the analysis of genomic data could lead to the discovery of causes for various diseases and subsequently the development of relevant drugs. Accurate weather forecasting is possible with the analysis of appropriate atmospheric data.<br><br>In this concentration, the students will be trained in analyzing various kinds of data. Examples include visual data, text data, sequence data, etc. The students will also be exposed to the principles of databases. Recently, Artificial Intelligence (and machine learning in particular) techniques have been employed to solve many challenging problems efficiently. Students will also get exposure to discrete optimization which lies at the core of decision making, i.e., Business Analytics.