About University of Minnesota Twin Cities

   The University of Minnesota is a public land-grant research institution located in the Twin Cities of Minneapolis and Saint Paul, Minnesota, founded in 1851.
  The University of Minnesota is regarded as the flagship institution of the University of Minnesota System and part of the Association of American Universities. The University of Minnesota is recognized as a doctoral university that conducts very high research activity.
  Regarding the research activity, the University of Minnesota ranked in the 14th position and expended $1.04 billion for research and development. The University of Minnesota was admitted to the array of Public Ivy universities to impart quality education. The University of Minnesota organizes 19 colleges, schools, and major academic units that deliver more than 150 undergraduate and postgraduate degrees and 200 graduate and doctoral programs.
  The University of Minnesota comprises more than 300 researchers, education centers, institutes, and 13 libraries spanning from the life sciences to technology. The University of Minnesota System provides top-class education, revolutionary research, and community-engaged capacity-building to the students with innovative faculty and dedicated staff, which is beneficial to preparing the students to meet real-world challenges.

Address & Website of University of Minnesota Twin Cities

Address:  Minneapolis, MN 55455, United States

Phone:  +1 612-625-5000

Email:  gsquest@umn.edu

Website:  https://twin-cities.umn.edu/

University Type:  Public land-grant research university

Computer Science Courses Offered by University of Minnesota Twin Cities

Computer Science Research Areas - University of Minnesota Twin Cities

  University of Minnesota Twin Cities is popularly regarded as one of the best open research universities in the United States. Regarding research; the University of Minnesota Twin Cities ranked 14th. In the field of computer science; various research areas are evolved at the University of Minnesota Twin Cities

   •  Architectures; Compiler Optimization and Embedded Systems
   •  Bioinformatics and Computational Biology
   •  Data Mining; Databases and Geographical Information Systems
   •  Graphics and Immersive Computing
   •  High Performance Computing
   •  Human-Computer Interaction (HCI)
   •  Networks; Distributed Systems; and Security
   •  Robotics and Artificial Intelligence
   •  Software Engineering and Programming Languages
   •  Theoretical Foundations

Research Topics in Computer Science Research - University of Minnesota Twin Cities

Bioinformatics and Computational Biology - Bioinformatics and Computational Biology researchers at the University of Minnesota Twin Cities focus on

   •  Algorithms For Sequence &Structure Analysis
   •  Protein Structure Prediction
   •  Virtual Screening & Lead Discovery
   •  Data Modeling Of Scientific Applications
   •  Database Management System Extensions In Support Of Brain Image & Proteomics Analyses
   •  Building Predictive Models for Effective Disease Diagnoses.

Data Mining, Databases, and Geographical Information Systems - University of Minnesota Twin Cities researchers working on several research topics in Data Mining, Databases, and Geographical Information Systems are

   •  Indexing & Query Languages
   •  Data Compression
   •  Multimedia Storage & Retrieval
   •  Data Clustering
   •  Pattern Matching
   •  High-Dimensional Data Modeling
   •  Geographical Databases
   •  Mapping Models
   •  Anomaly & Pattern Detection
   •  Query Processing
   •  Spatial & Scientific Data Mining

Graphics and Immersive Computing - Researchers within Graphics and Immersive Computing are engaged in the following topics

   •  Human Perception
   •  Animation & Art
   •  Computer Vision & Image Processing
   •  Information Visualization
   •  Visualization of 2-D & 3-D Flow Data
   •  Multivariate Visualization
   •  Non-Photorealistic Rendering
   •  Volume Visualization
   •  Physically & Perceptually-Based Image Synthesis
   •  Color Appearance Design & Reproduction

High Performance Computing - Research interests at the University of Minnesota Twin Cities under High Performance Computing are

   •  Grid Computing
   •  Parallel Algorithm Design
   •  Performance Analysis
   •  Sparse Matrix Algorithms for Large-Scale Scientific
   •  Engineering Simulations

Networks, Distributed Systems, and Security - Some of the Networks, Distributed Systems, and Security research focused at the University of Minnesota Twin Cities:

   •  Peer-To-Peer Systems
   •  Grid Systems & Applications
   •  Large-Scale Storage Networks
   •  Networked Multimedia Systems

Robotics And Artificial Intelligence - Research Interests Within Robotics And Artificial Intelligence Are

   •  Multi-Agent Negotiation
   •  Natural Language Interfaces
   •  Machine Learning
   •  Active Computer Vision
   •  Probabilistic Language Models for Use in Spoken Language Interfaces
   •  The Modeling & Integration of Visual, Haptic, Auditory, Motor Information

Theoretical Foundations - Computational theory-based research topics at the University of Minnesota Twin Cities:

   •  Computational Learning Theory
   •  Complexity Theory
   •  Algorithm & Data Structure Design
   •  Parallel Algorithms
   •  Geometric Computing
   •  Cryptography
   •  Computational Logic
   •  Programming Languages Theory
   •  Matrix Computations

Computer Science Research Labs with Specialization - University of Minnesota Twin Cities

 University of Minnesota Twin Cities expends $1.04 billion on research and development for better inventions and discoveries through the following research centers and groups;

   •  Center for Transportation Studies
   •  Charles Babbage Institute
   •  Digital Technology Center
   •  Laboratory for Computational Science and Engineering
   •  Institute for Mathematics and its Applications
   •  Minnesota Supercomputing Institute
   •  U of M Informatics Institute
   •  Advanced GIS Lab
   •  Geographic Analysis and Mapping Lab (GAML)
   •  Association of Computing Machinery (ACM)
   •  Association of Computing Machinery for Women (ACM-W)
   •  Computer Science Graduate Student Association (CSGSA)
   •  App Developers Club
   •  CSE student groups
   •  Women in Computer Science (WCS)

Scholarship Programs and Funded Projects for Computer Science - University of Minnesota Twin Cities

  At the University of Minnesota Twin Cities, various scholarships and fellowships are awarded to students and scholars based on academic achievement, financial requirements, special talents, interests, and qualities. Such scholarships are listed below;

   •  Computer Science & Engineering Scholarship
   •  Hopper-Dean Scholarship honoring Dr. Vipin Kumar
   •  Industry Affiliates Council Access Scholarship
   •  James Parker Memorial Scholarship
   •  John Feigal Scholarship
   •  Matt Gray Memorial Scholarship
   •  Maximillian Lando Scholarship
   •  Optum Computer Science& Engineering Scholarship
   •  Phui Tran/Quang Tran Co-Scholarship
   •  Steven G. Anderson Scholarship for Computer Science & Engineering

PhD Admission Procedure for Computer Science -University of Minnesota Twin Cities

 Prerequisites for admission to the Ph.D. computer science program at the University of Minnesota Twin Cities are;
  •  Applicants must hold four year or equivalent undergraduate degree in computer science from an authorized university with a GPA of 3.45 or higher
  •  The personal statement of the applicant must be included and describes computer science educational, research, or industrial background with a limitation of 4000 character
  •  A diversity statement is required for domestic applicants only with a 4000 character limitation, and it must cover family background, non-traditional attributes for computer science/data science, achievement, multilingual skills, community involvement, and diverse identities
  •  Unofficial transcripts must be uploaded, and official transcripts of admitted applicants are required to submit directly
  •  GRE test scores results need to submit
  •  Language test scores of TOEFL, MELAB, or IELTS are required for international students
  •  Curriculum Vitae need to be attached, and it must include educational background and degrees, teaching or research experience, publications, and computer languages

PhD Regulations:

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