Bachelor of Science in Computer Science - Data Science

The BS in Computer Science draws its foundation from a number of disciplines, requiring students to utilize concepts from different fields. At the core of the curriculum, students learn to integrate computer science theory with practice. In a field that evolves as rapidly as computer science, the program focuses on preparing students for long-term learning that enables them to not only understand today’s technologies, but also understand how to tackle challenges of the future. Students in the program choose a concentration or focus area, which allows a deep exploration of a particular sub-discipline or application domain.

Graduates of the Bachelor of Science Degree in Computer Science, with concentration in Data Science, will be able to:

Design computational solutions to real-world problems, and encode these using a variety of programming languages and paradigms
Apply theoretical foundations of computing, including automata theory and complexity theory and call upon such knowledge to design efficient solutions
Design effective assembly language and systems-level programs, applying knowledge of the basic organization of computing hardware as appropriate
Recognize and employ a range of standard algorithms, data structures, and design patterns, and weigh their advantages and disadvantages to design efficient solutions
Employ modern software development processes, which include eliciting, analyzing, and specifying requirements, design specification, testing, and verification
Work effectively on multidisciplinary teams to solve complex problems
Use knowledge of the social, legal, ethical, and cultural issues inherent in the discipline of computing to guide decisions in real-world situations
Effectively communicate technical information to a broad audience
Represent, analyze, manage, and use large and diverse datasets in real-world applications
Analyze data using relevant methods from advanced mathematics, statistics, artificial intelligence, machine learning, and data mining.

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