About the course

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 High Performance Computing, 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

　　Design effective solutions for advanced multiprocessor computing systems, using knowledge of hardware, programming languages, application programming interfaces, parallel algorithms, and relevant mathematical underpinnings

　　Analyze and apply statistical techniques to large data sets (data track), or deploy various mathematical tools to model real-world phenomena (applied math track). Scholarships - View all scholarships Internships

　　

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

　　Duration: 8 Semester(s)Fees: Not available

Intake	Location
Spring (February), 2024	Newark
Fall (September), 2024	Newark
Spring (February), 2025	Newark
Fall (September), 2025	Newark
Spring (February), 2026	Newark

　　

How to apply

Entry requirements for University of Delaware

Send official transcripts/examination results* for all secondary and post-secondary work to the Office of Undergraduate Admissions.

　　Provide a letter of recommendation from a teacher or academic advisor.

　　Send your test scores:

　　TOEFL score 79 IBT, 550 PBT, 233, IELTS score 6.5 or better.

　　

English language requirements

　　6.5

　　Overall IELTS band score

　　Book IELTS

　　About IELTS

　　Practice and prepare

　　TOEFL Internet based overall score: 79.0

　　

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

　　

Further information

Career outcomesIf you aren’t eligible for the above entry requirements, you might want to explore pathway options at University of Delaware. If you want to find out more, please speak to our counsellors.

　　Pathway options to study at this institution

　　

Reviews and rankings

World ranking

　　401st / 1250

　　THE World ranking

　　

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