University of Massachusetts, Amherst is a public land-grant research institution established in 1863. The University of Massachusetts ranked 68th position in the best colleges from national universities. In accordance with the National Science Foundation, the University of Massachusetts, Amherst, expends $211 million on research and development.
The University of Massachusetts proffers highly ranked academic degrees in 109 undergraduate, 77 master-s, and 48 doctoral level professional certificate programs under the core areas, including business, health care, computer science, and education.
The University of Massachusetts Amherst is categorized among R1: Doctoral Universities denotes its research as a very high research activity. The university comprises five campuses: the University of Amherst, University of Massachusetts Boston, University of Massachusetts Dartmouth, University of Massachusetts Lowell, and the Massachusetts Medical School.
Address: Amherst, MA 01003, United States
Phone: +1 413-545-0111
Email: mail@admissions.umass.edu
Website: https://www.umass.edu/
Computer science courses offered by the University of Massachusetts Amherst in the United States
Undergraduate Programs:
• Computer Science
• Computer Systems Engineering
• Game Design and Development
• Information Technology
• Network and Security Administration
• Software Engineering
Graduate Programs:
• Computer Science (MS; Ph.D.)
• Computer Systems Engineering (MS; Ph.D.)
• Data Science (MS)
• Games and Simulation Arts and Sciences (MS; Ph.D.)
• Information Science (MS)
• Network and Security Administration (MS)
• Software Engineering (MS; Ph.D.)
Notable active research areas within computer science at the University of Massachusetts are listed below;
• Artificial Intelligence
• Computational Biology and Bioinformatics
• Data Management
• Electronic Teaching
• Health Informatics
• Human Language Technologies
• Human-Computer Interactions
• Information Visualization
• Machine Learning
• Mobile and Sensor Systems
• Networking and Distributed Systems
• Robotics; Computer Vision; and Graphics
• Security and Privacy
• Software Systems and Architecture
• Theoretical Computer Science
The Department of Computer Science at the University of Massachusetts is the hub of a vast range of ongoing research projects, and such research topics for its research area are listed below;
Artificial Intelligence - Automated planning, autonomous systems, computational neuroscience and bio-computation, computer vision, heuristic search, intelligent tutoring systems, knowledge discovery and data mining, machine learning, multi-agent systems, natural language processing, probabilistic modeling and inference, reinforcement learning, robotics, and human-robot interaction, search engines and search tools, sequential decision making and optimization.
Computational Biology and Bioinformatics - Molecular biology, genetics, biologically-inspired computation, and neuroscience.
Machine Learning - Learning conceptual structures through developmental processes; improving control of stochastic and nonlinear dynamic systems via observation, experimentation, and reinforcement feedback; discovering patterns in complex bodies of data with temporal, spatial, and relational variability drawn from sources such as images, text, online social networks, and biological, social, and technological systems; and utilizing learning methods for enhancing discrete optimization algorithms.
Mobile and Sensor Systems - Ultra-low power radios for wearables, new wearable technologies: low-power eye trackers to monitor health signals, and robust detection of important health targets: drug use, smoking, and over-eating.
Networking and Distributed Systems - Protocol design, wireless and mobile networks, disruption tolerant networks, sensor networks, content distribution networks, embedded systems, real-time and multimedia systems, network algorithmics, performance modeling and analysis, network measurement, virtualization, storage and file systems, and autonomic computing.
Robotics, Computer Vision, and Graphics - Scene modeling, face identification, object recognition, reading the text of signs in complicated outdoor environments, high-speed realistic rendering methods, intelligent 3D content creation techniques, processing 3D geometric data, and visualizing complex lighting effects, sophisticated grasping approaches, new motion planning methods to complex tool use and experimenting with new types of dynamically stable robots.
Security and Privacy - Network security and privacy, network intrusion detection, privacy-protecting data transformations, digital forensics, web security, anonymous communication, censorship resistance, covert communication channels, programming language security, disruption-tolerant networks, and cryptographic currencies.
Software Systems and Architecture - Language support for human-computer interaction, automated analysis of software including model checking and static analysis, formal and practical foundations for integration and interoperability, techniques for developing robust, high-performance software systems that understand load or attack, and synergistic co-development of architectural performance improvements together with compiler and run-time system optimizations.
Computer science research labs; centers; and groups at the University of Massachusetts were founded for the improvement of computer science research; such labs; centers; and groups are listed below;
• Computational Social Science Institute
• Cybersecurity Institute
• Center for Data Science
• Center for Intelligent Information Retrieval (CIIR)
• Center for Knowledge Communication
• Center for Smart and Connected Society (CS2)
• Advanced Computer Networking Research Group
• Advanced Human & Health Analytics (AHHA) Laboratory
• Advanced Learning Technologies Laboratory
• Advanced Networked Systems Research Group
• Architecture and Language Implementation Group
• Autonomous Learning Laboratory
• Autonomous Mobile Robotics Laboratory (AMRL)
• Biologically Inspired Neural & Dynamical Systems Laboratory
• Biomedical Informatics Natural Language Processing (BioNLP) Laboratory
• Computer Graphics Laboratory
• Computer Vision Research Laboratory
• Convergent Computing Systems Lab
• Digital Forensics Laboratory
• DREAM Lab (Data systems Research for Exploration, Analytics, and Modeling)
• Dynamic and Autonomous Robotic Systems (DARoS) Laboratory
• Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere
• HCI-VIS Lab
• Information Extraction and Synthesis Laboratory
• Information Fusion Lab
• Knowledge Discovery Laboratory
• Laboratory for Advanced Software Engineering Research
• Laboratory for Advanced System Software
• Laboratory for Internet-Scale Distributed Systems
• Laboratory for Perceptual Robotics
• Natural Language Processing Group (UMass NLP)
• Programming Languages And Systems at Massachusetts (PLASMA)
• Research in Presentation Production for Learning Electronically (RIPPLES)
• Resource-Bounded Reasoning Lab
• Secure, Private Internet (SPIN) Research Group
• Wireless Sensor Networks Group
• Statistical Social Language Analysis Lab
• Theoretical Computer Science Group
The University of Massachusetts offers various scholarship programs to support students and researchers and some of them are listed below;
• CyberCorps: Scholarship for Service (SFS) Program
• NCWIT Award for Aspirations in Computing
• John and Abigail Adams Scholarship Program
• Agnes M. Lindsay Scholarship Program
• Christian A. Herter Scholarship Program
• MASSGrant Program
• STEM Scholar Internship Match Program
• Academic Honors Scholarship
• National Security Agency Mathematics and Computer Science Student Scholarship
• The Google Anita Borg Scholarship
• Microsoft Scholarships
• Barry M. Goldwater Scholarship
To apply for PhD at the University of Massachusetts by creating an online application account on its website and supplements to Submit for PhD program
• Online Application
• Personal Statement
• Unofficial Transcripts
• Two Letters of Recommendation
• English Proficiency Exam scores only for international students
• No GRE is needed for PhD applicants
• Application Fee
