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PhD Computer Science in Columbia University - New York City - United States

Columbia University - United States in PhD Computer Science

About Columbia University

   Columbia University is a private research institution established in 1754 and situated in New York City. Columbia University is the fifth oldest institution of higher learning in the United States. Initially, the university was well-known as King-s College, and after that retitled Columbia University in 1784 and has high academic diversity.
   Columbia University is highly ranked as the second top university among twenty universities both universally and internationally, as it is an Ivy League University. Intellectually, Columbia University is a hub for 21 schools, 120 academic departments, and 20 colleges that offer more than 500 courses at all levels of study. Some well-known study areas at Columbia University include Business, Engineering, Computer Science, Humanities, Medicine, and many more.
   Columbia University is one of the world-s most essential centers of research and simultaneously an extraordinary and differentiated learning environment for all graduate students in many academic and skillful fields. Columbia University creates a better academic association with various countries and regions with the diverse and international faculty conducive to assisting research and teaching on worldwide complications.
   The University offers a remarkable and extensive range of academic programs from four affiliated colleges, more than one hundred research centers, institutes, and many more, and also extends classes online. The most commonly described benefits of pursuing a degree program from Columbia University in the City of New York are better teachers, a positive environment, good career preparation, and hands-on training, noted in the review of Columbia University and rated as 4.64 out of 5.

Address & Website of Columbia University

Address:  New York, NY 10027, United States

Phone:  +1 212-854-1754

Email:  ugrad-confirm@columbia.edu.

Website:  https://www.columbia.edu/

University Type:  private Ivy League research university

Computer Science Courses Offered by Columbia University

  
Undergraduate:

  • Computer Science
  • Programming Language and Compilers
  • Introduction to Computer Systems
  • Computer Systems and Networks
  • Algorithms and Data Structures
  • Operating Systems
  • Software Engineering
  • Machine Learning
  • Artificial Intelligence
  • Database Systems
  • Computer Graphics
  • Computer Vision
  • Introduction to Computer Network Security
  • Programming Paradigms
  • Graduate:
  • Advanced Computer Systems and Networks
  • Advanced Algorithms and Data Structures
  • Advanced Operating Systems
  • Advanced Software Engineering
  • Advanced Machine Learning
  • Advanced Artificial Intelligence
  • Advanced Database Systems
  • Advanced Computer Graphics
  • Advanced Computer Vision
  • Advanced Programming Paradigms
  • Advanced Computer Network Security
  • Ph.D.:
  • Algorithmic Foundations 
  • Computer Architecture 
  • Distributed Computing 
  • Formal Models 
  • Graphics and Vision 
  • Languages and Compilers 
  • Logic and Complexity 
  • Machine Learning 
  • Security 
  • Software Engineering 
  • Theoretical Computer Science 
  • Visual Computing 

  • Computer Science Research Areas - Columbia University

      

      Columbia University possesses high computer science research opportunities for PhD candidates which benefits their research career more superior. Some notable research areas are listed below;
      •  Artificial Intelligence.
      •  Machine Learning.
      •  Vision & Robotics.
      •  Networking.
      •  Software Systems.
      •  Computational Biology.
      •  Security & Privacy.

    Research Topics in Computer Science Research - Columbia University

    Artificial Intelligence - Artificial Intelligence is perturbed with the development of systems that reveal behavior typically linked with human cognition, such as perceiving, learning, communicating, reasoning, making decisions, and acting in a physical and social environment. Currently, AI research at Columbia University under computer science concentrates on machine learning, natural language and speech processing, computer vision, robotics, and security. AI researchers of Columbia University cooperate broadly within the university and ahead, proffering its applicability towards medicine, public safety, law, journalism, and other areas.

    Machine Learning – The research focus on machine learning covers causal inference, probabilistic modeling, sequential decision-making, and applicability to computational biology, computer vision, natural language and spoken language processing, and robotics. Columbia University organizes multiple departments and several student-led reading groups to work on statistical and machine learning concepts by conducting seminars and symposiums.

    Networking - The Networking group at Columbia University concentrates on both the design and performance evaluation of communication systems and data networks of all types, including data center networks, wireless, optical, ultra-low power, Internet of Things, and the Internet; as well as policy and economics research connected to the Internet.

    Computer Engineering - The several research groups related to computer engineering at Columbia University conjoin with diverse areas, including computer architecture, hardware security, networks, and distributed embedded systems.

    Software Systems - The research group at Columbia University covers various software systems ranging from handheld devices to cloud computing data centers. Currently, such research groups work on constructing actual systems to explore novel research ideas and create tools to empower developers to rapidly and properly design complex systems.

    Security & Privacy - The key aim of the research group at Columbia University is to design, develop, and implement principled solutions for enhancing computer system security and privacy features. Such research groups are highly collaborative and co-directed by many faculty members.

    NLP & Speech - The Speech and Natural Language Processing groups at Columbia University work on language understanding and generation with its applicability to a broad variety of topics, including summarization, detecting deceptive, argumentation, persuasion, sentiment, emotional and charismatic speech, and text-to-speech synthesis, analysis of social media to detect mental illness, abusive language, and radicalization.

    Graphics & User Interfaces - This research group at Columbia University focuses on implementing innovative graphics for the entertainment area, life-saving augmented and virtual reality applications in the healthcare field, camera phone technology, 3D printing technologies, and AI tools that support the computational design process.

    Computer Science Research Labs with Specialization - Columbia University

      Several research centers and laboratories have been established in Columbia University to pursue PhD computer science effectively.
      •  Software Systems Laboratory
      •  Computer-Enabled Abilities Laboratory
      •  Columbia Artificial Intelligence and Robotics Lab
      •  Causal Artificial Intelligence Lab
      •  Wireless and Mobile Networking (WiMNet) Laboratory
      •  Center for Computational Learning Systems
      •  Computer Vision and Graphics Center
      •  Robotics Laboratory
      •  Theory of Computing Group
      •  Programming Systems Laboratory
      •  Network Computing Laboratory
      •  Database Research Group
      •  Systems Security Center
      •  Network Security Lab
      •  Intrusion Detection Systems
      •  Computer Architecture and Security Technologies
      •  Distributed Computing & Communications Laboratory
      •  Distributed Network Analysis Research Group
      •  Columbia Computer Graphics Group
      •  Computer Graphics and User Interfaces Laboratory

    Scholarship Programs and Funded Projects for Computer Science - Columbia University

      Doctoral candidates at Columbia University received many scholarships and fellowships for their academic and research projects.

  • Fellowships are provided based on the merit-based system that covers tuition and other stipend expenses.
  • Assistantships are supplied for the faculties and research scholars to carry out their research careers strongly.
  • PhD students also gain tuition exemption for all PhD course works.
  • Research Center assistantships or grants are provided for both faculty and doctoral student research to support doctoral research
  • Most PhD research grants are given based on the financial circumstances of the candidates.
  • Narotam Sekhsaria-s Scholarships and K.C. Mahindra Scholarships for Post-Graduate Studies Abroad are other scholarship schemes for PhD research students.
  • PhD Admission Procedure for Computer Science -Columbia University

    Admission necessities for the Ph.D. program at Columbia University New York City in the United States are;
     •  An undergraduate degree in a relevant field of study with a minimum GPA of 3.0
     •  GRE scores
     •  Three letters of recommendation
     •  A statement of purpose
     •  A CV/resume
     •  Official transcripts from all universities pursued
     •  An application fee
     •  Applicants are required to apply to Columbia University along with all above listed supporting documents
     •  After the approval of the application, applicants are invited for an interview, and admission will be offered.

    List of PhD Supervisors:
      Ph.D Supervisors in Columbia University