Duke Computer Science Department (Duke CS)
Business Profile
Core Value Proposition
Duke Computer Science Department (Duke CS) provides education and research in computer science, including undergraduate and graduate degree programs, research opportunities, and industry engagement.
Target Customer
Prospective and current Duke students (undergraduate and graduate), faculty and researchers, industry partners seeking collaboration, alumni, and donors interested in CS education and research outcomes.
Key Differentiator
Broad, high-profile research footprint across six focus areas (Artificial Intelligence; Computation + X; Computer Science Education; Data Science; Systems; Theoretical Computer Science), strong emphasis on AI for social good, interdisciplinary opportunities, and a growing suite of degree options and concentrations (e.g., new Software Engineering and Design concentration in 2025; 4+1 MS option). Faculty recognized with national awards and leading research initiatives (e.g., PATH model for drug discovery; privacy-focused AI research; BEYOND platform for drug design).
Implementation Timeline
Academic programs are ongoing with defined milestones: undergraduate degrees typically completed over 4 years; 4+1 MS program adds an additional year; new concentration launched in 2025; numerous events and news features throughout 2024–2025 indicating active, ongoing activity and adoption of new offerings. Entry points include Apply Now for graduate programs and the Oct 1 deadline for the 4+1 pathway.
Pain Points
- 1Need for rigorous CS education with flexible degree options and concentrations to match student interests (BA/BS options, multiple concentrations, new programs like Software Engineering and Design).
- 2Need for access to cutting-edge CS research and interdisciplinary collaboration (AI, data science, security & privacy, computational biology, etc.).
- 3Need for pathways to advanced degrees and industry-ready skills with formal connections to industry via events, collaborations, and applied research (4+1 program; industry lectures; research-to-market initiatives).
Key Features
- 1Undergraduate and graduate degree options (BS/BA, MS, PhD) with multiple concentrations including AI/ML, Data Science, Software Systems, and more.
- 24+1 Program for Duke Undergraduates (MS in Computer Science with undergrad) — Apply by Oct 1; adds an additional year of study.
- 3New Software Engineering and Design concentration introduced in 2025 (first BA/BS CS concentration in Software Engineering and Design).
- 4Six research focus areas: Artificial Intelligence; Computation + X; Computer Science Education; Data Science; Systems; Theoretical Computer Science.
- 5Strong news and research output showcasing AI for Social Good, drug discovery, privacy and security, and educational innovation (e.g., PATH model, BEYOND platform, privacy in AI, etc.).
Target Customer Industries
Decision Makers
- 1Assistant Professor of Computer Science
- 2Director of the Duke InSPIre Lab
- 3Chair and Arthur S. Pearse Distinguished Professor of Computer Science
- 4Professor
- 5Postdoctoral Fellow
- 6Graduate Student
- 7Emeriti
Client Results
- 1Advances in drug discovery with AI models (PATH) to predict molecular binding and improve discovery workflows.
- 2AI-enabled protein imaging improvements and faster generation of 3D models from cryo-EM data.
- 3Privacy-focused AI research informing responsible use of AI in health and mental health contexts (Dangerous Helpers case).
- 4Successful integration of university research into startup/industry contexts (BEYOND platform for drug design).
Competitive Advantages
- 1Strong, recognized research and teaching faculty with national awards and high-profile publications.
- 2Structured and flexible degree options with new concentrations to meet evolving industry needs.
- 3A broad portfolio of research areas enabling interdisciplinary collaboration (AI, Data Science, Security & Privacy, Computational Biology, etc.).
- 4Active engagement with industry and real-world problems (AI for Social Good, Applied AI in finance, etc.).
- 5Historical depth and institutional resources (50th Anniversary, dedicated labs, podcasts, and news coverage).
Key Benefits
Case Studies & Success Stories
New AI Model Makes Drug Discovery Faster, Smarter and More Transparent
Duke researchers introduced a novel AI model (PATH) to improve prediction of how molecules bind to proteins, aiding faster and more transparent drug discovery research.
Dangerous Helpers: Understanding the Privacy Trade-Offs of AI Mental Health Support
Duke InSPIre Lab research examines user privacy risks in AI mental health tools and explores responsible design and deployment considerations.
A Tool That Helps Predict a Brain-Damaging Seizure
Development of a scoring/monitoring approach to predict brain-damaging seizures in hospital ICU settings to improve patient care and resource use.
How A Duke Computer Scientist Turned an Academic Project Into an AI Platform for Drugging Undruggable Cancers
Overview of BEYOND platform enabling rapid analysis and design of drug candidates, illustrating the path from academic project to industry-relevant AI platform.
Additional Product Information
Product Description
A university department delivering computer science education from undergraduate to PhD levels, along with a broad portfolio of research in AI, data science, systems, theory, and CS education, plus industry engagement and interdisciplinary collaboration.
Target Market
Prospective students (undergraduates and graduates), current Duke students, researchers and faculty, industry partners, funding agencies, and alumni seeking collaboration or impact from CS education and research.
Unique Value Proposition
Combination of rigorous degree programs, interdisciplinary research opportunities, and a strong track record of cutting-edge AI and data science research, enhanced by new concentrations (e.g., Software Engineering and Design) and pathways (4+1) to accelerate education-to-industry impacts.
Technical Requirements
NetID login for online resources; standard university enrollment requirements for degree programs; campus location at LSRC Building D101, 308 Research Drive, Duke (on-campus access required for facilities and labs).
Pricing Model
Not publicly listed; standard university tuition and fees apply for degree programs; no separate product pricing is provided.
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