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PhD Computer Science in University of Notre Dame - United States

University of Notre Dame - United States

About University of Notre Dame

   The University of Notre Dame is the nation-s private Catholic research institution, situated in Notre Dame, Indiana, outside the city of South Bend and established in 1842. The University of Notre Dame is perceived as one of the top universities in the United States and furnishes more than 50 master-s, doctoral, and professional degrees programs.
   The University of Notre Dame is rated at 20th position among the top institution of higher education in the U.S. In the past decades, the University of Notre Dame has raised its research funds from $8.7 million to $141.5 million. Research at the University of Notre Dame facilitates discoveries, unlocked knowledge, and improved technologies for real-time implementation.
   The University of Notre Dame leverages and boosts innovation in many core facilities and resources in many essential research areas, including cancer, environmental change, global health, turbo machinery, propulsion, and more.

Address & Website of University of Notre Dame

Address:  Notre Dame, IN 46556, United States

Phone:  +1 574-631-5000

Email:  international@nd.edu.

Website:  https://www.nd.edu/

University Type:  Private research university

Computer Science Courses Offered by University of Notre Dame

  
 •  Bachelor of Science in Computer Science and Engineering 
 •  Master of Science in Computer Science 
 •   Master of Science in Data Science 
 •  Master of Science in Net-Centric Computing 
 •   Doctor of Philosophy in Computer Science and Engineering 
 •   Doctor of Philosophy in Networks and Security 
 •  Graduate Certificate in Cybersecurity 
 •  Graduate Certificate in High Performance Computing 
 •  Graduate Certificate in Machine Learning 
 •  Graduate Certificate in Software Engineering

Computer Science Research Areas - University of Notre Dame

  

  Research at the University of Notre Dame in Computer Science solves real-world challenges by creating impact in its research areas including
  •  Data Science and Artificial Intelligence
  •  Computer Architecture and Systems
  •  Software Engineering; Human-Computer Interaction; and Visualization
  •  Theory and Algorithms

Research Topics in Computer Science Research - University of Notre Dame

Data Science and Artificial Intelligence - Research in this area at the University of Notre Dame focus on contending the implementation of software and software/hardware systems to address problems in acquiring, modeling, processing, and reasoning about data acquired in a range of formats such as text, sounds, images, videos, and other sensor outputs.

Computer Architecture and Systems - Recent research at the University of Notre Dame under computer architecture and systems involves fundamental materials for next-generation computing systems with performance, power, and size constraints, nontraditional/exotic computing systems, including quantum computing and nanomagnetic computing, advanced techniques to embedded systems design, specialized architectures for deep learning and other specific computationally demanding tasks, mobile systems and technologies for data science, design of tools and technologies for huge scale distributed computing software systems for distributed ledgers.

Software Engineering, Human-Computer Interaction, and Visualization - Research focus in this area work on safety assurance for cyber-physical systems, software documentation synthesis using software engineering and natural language processing, domain-driven designs for user interfaces in complex data analysis applications, advanced and effective visualization approaches for complex scientific data

Theory and Algorithms - Current research interests in theory and algorithms are the development of algorithms for problems in computational geometry, computational biomedicine, and algorithms for encryption, provenance tracking, and privacy-preserving computation to problems in data science and machine learning

Computer Science Research Labs with Specialization - University of Notre Dame

 Computer science research labs and groups at the University of Notre Dame are listed below;
  •  Advanced Wireless Network
  •  Computational Biomedicine and Health
  •  Computer Vision Research Lab
  •  Computing with Emerging Technologies
  •  Cooperative Computing Lab
  •  Data Security and Privacy Group
  •  Data, Inference, Analysis, and Learning Lab
  •  Data Mining toward Decision Making (DM2) Lab
  •  Human-Computer Interaction Lab
  •  Mobile Computing Lab
  •  Natural Language Processing Lab
  •  Network Science and Computational Biology Lab
  •  Social Sensing Lab
  •  Sustainable Computing Lab
  •  Visualization Lab

Scholarship Programs and Funded Projects for Computer Science - University of Notre Dame

 The University of Notre Dame provides various educational funding to all graduate students via tuition scholarships, assistantships, and fellowships. Some of the selective fellowship programs are listed below;
  •  Richard and Peggy Notebaert Premier Fellowship
  •  Arthur J. Schmitt Presidential Leadership Fellowship
  •  University Presidential Fellowship in Humanities and Social Sciences
  •  Bernard J. and Helen Holland Voll Presidential Fellowship
  •  Martin and Carmel Naughton Graduate Fellowship
  •  Kinesis-Fernández Richards Family Fellowship
  •  Joseph Gaia Distinguished Fellowships in Latino Studies
  •  Deans Fellowship
  •  Remick Graduate Fellowship in Engineering

PhD Admission Procedure for Computer Science -University of Notre Dame

 Applicants aspiring to pursue the Ph.D. program in computer science at the University of Notre Dame should hold a B.S. or M.S. degree in computer science and then apply through the respective website.
 Admission required supplement documents are

  • Curriculum Vitae (CV)
  • Statement of intent
  • Writing sample
  • Unofficial transcripts from anterior institutions or in-progress degrees program
  • Graduate Record Exam (GRE) score - optional
  • TOEFL or IELTS score report only for international applicants
  • Three letters of recommendation from faculty associations about applicants academic and research performance