A Master of Computer science (CS) is a master’s degree level that offers current informatics and engineers opportunities to increase their knowledge base and develop, troubleshoot, and develop better. Master’s programs in computer science cover topics such as computer language theory, software development, advanced algorithms, and much more.
The Master of Science degree in computer science is designed to be a terminal graduate degree. Fortunately, some students may intend to achieve a master’s program before considering whether to pursue a doctorate. To give such students a higher opportunity to become acquainted with research, the university has a master’s degree program with differences in research. The program at different universities is described in more detail below.
Online Masters of Science in Computer Science(MSCS) at Georgia Tech University
Georgia Institute of Technology also called Georgia Tech is a Public University, located in Georgia, Atlanta, which is ranked as #35 in Best National University and ranked #24 in Kiplinger.
The Master’s degree program in computer science (MSCS) is a terminal degree program designed to prepare students for much more highly active positions in the industry.
The program is designed for students who have a bachelor’s degree in computer science from an accredited institution. Students with a Bachelor’s degree in non-informatics are invited to pursue as well, with the understanding that they may be expected to implement remedial work in addition to the requirements of the MSCS degree.
Admission requirements for the Online Masters of Science in Computer Science at Georgia Institute of Technology:
- Applicants must submit three letters of recommendation.
- GRE scores are not required.
- GPA score must be 3.0 on a scale of 4.0.
- International students must submit TOEFL scores.
- IELTS scores are also accepted.
Curriculum details for Online Masters of Science in Computer Science at Georgia Institute of Technology:
MSCS is a 30 hours course work program, 10 courses are offered. Students can complete their Online Masters in Computer Science within 24-36 months.
By choosing one of its four departments, the OMS CS students further personalize their preparation. In specializations such as computer specialization, the scope, and depth of the subject offered helps the students to perfect the degree. Specializations offered are:
Specialization in Computational Perception and Robotics
Students must choose from the following for a Master’s degree
in Computer Science, Specialization in Computational Perception and Robotics:
Core Courses:
- Algorithms:
Computability, Algorithms, and Complexity; Introduction to Graduate Algorithms; Computational Complexity Theory; Design and Analysis of Algorithms; Approximation Algorithms; Randomized Algorithms; Computational Science and Engineering Algorithms; Artificial Intelligence; Machine Learning.
Electives:
- Perception:
Computational Photography; Computer Vision; Reconstruction; Computational Perception; Machine Learning for Robotics; Natural Language; Special Topics: Multiview Geometry in Computer Vision.
Robotics: Autonomous Robotics; Autonomous Multi-Robot Systems; Human-Robot Interaction; Artificial Intelligence Techniques for Robotics; Cyber-Physical Design and Analysis; Interactive Robot Learning; Robot Intelligence: Planning.
Specialization in Computing Systems
Students must choose from the following for a Master’s degree
in Computer Science, Specialization in Computing Systems:
Core Courses:
Computability, Algorithms, and Complexity or Introduction to Graduate Algorithms: Advanced Operating Systems; Compiler Design; Computer Networks; High-Performance Computer Architecture; Software Development Process or Advanced Topics in Software Engineering; Programming Languages; Database Systems Concepts and Design.
Electives:
Introduction to Information Security; Graduate Introduction to Operating Systems; Big Data Systems and Analytics; Real-Time Systems; Secure Computer Systems; Applied Cryptography; Network Security; Intro to Cyber-Physical Systems Security; Embedded Systems Optimization; Software Architecture and Design; Software Analysis and Testing; Introduction to Enterprise Computing; Database System Implementation; Design and Analysis of Algorithms; Advanced Internet Computing Systems and Applications; Distributed Computing; Internetworking Architectures and Protocols; Networked Applications and Services; Network Science; Advanced Topics in Microarchitecture; Rliability and Security in Computer Architecture; Theory of Cryptography; Special Topics: Foundations of Programming Languages; High-Performance Computing.
Specialization in Interactive Intelligence
Students must choose from the following for a Master’s degree in Computer Science, specialization in Interactive Intelligence:
Core Courses:
- Algorithms and Design:
Software Development Process; Advanced Topics in Software Engineering; Computability, Complexity, and Algorithms; Introduction to Graduate Algorithms; Artificial Intelligence; Case-Based Reasoning; Knowledge-Based AI; Machine Learning.
Electives:
- Interaction:
Introduction to Health Informatics; Educational Technology: Conceptual Foundations; Computational Journalism; Computational Social Science; Human-Computer Interaction; Game AI; Storytelling in Virtual Worlds; Natural Language; Special Topics: Advanced Game AI.
- Cognition:
Introduction to Cognitive Science; Modeling and Design; Special Topics: Computational Creativity.
Specialization in Machine Learning
Students must choose from the following for a Master’s degree
in Computer Science, Specialization in Machine Learning:
Core Courses:
Computability, Algorithms, and Complexity; Introduction to Graduate Algorithms; Computational Complexity Theory; Design and Analysis of Algorithms; Graph Algorithms; Approximation Algorithms; Randomized Algorithms; Computational Science and Engineering Algorithms; Machine Learning; Computational Data Analysis: Learning, Mining, and Computation.
Electives:
Big Data Systems & Analysis; Computer Vision; Markov Chain Monte Carlo; Spectral Algorithms; Machine Learning Theory; Pattern Recognition; Behavioral Imaging; Reinforcement Learning and Decision Making; Deep Learning; Machine Learning for Robotics; Machine Learning for Trading; Natural Language; Special Topics: Probabilistic Graph Models; Web Search and Text Mining; Data and Visual Analytics; Big Data for Health; Computational Statistics; Bayesian Methods; Stochastic Optimization.
Tuition Details for the Online Masters of Science in Computer Science at Georgia Institute of Technology:
- Tuition per credit offered for Online MSCS at Georgia Tech is $180 per credit.
- The estimated total cost to complete Online MSCS at Georgia Tech is $5400.
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Online Master of Science in Computer Science at the University of Minnesota-Twin Cities
The University of Minnesota-Twin Cities is a Public University, located in Minnesota, Saint Paul, which is ranked as #71 in Best National University and ranked #7 in Kiplinger.
The Master’s degree program in computer science (MSCS) offers coursework across a wide range of theoretical and applied computer sciences, combined with research opportunities in almost all areas of the field.
Admission requirements for the Online Masters of Science in Computer Science at University of Minnesota-Twin Cities:
- No GRE required.
- Applicants must have a Baccalaureate degree.
- Applicants must have a GPA of 3.25 or above.
- TOEFL scores must be submitted only if applicants are applying for teaching assistantship positions.
- Statement of purpose is required.
- Transcripts must be submitted.
- Three letters of recommendation are required.
- Resume.
Application Deadline to apply for the fall semester for Online MSCS at the University of Minnesota is March 1.
Curriculum details for Online Masters of Science in Computer Science at the University of Minnesota:
Master of Science in Computer Science program is a 31 hours credits program. Students can complete their Online Masters in Computer Science within 24 months.
Courses offered for Online Masters in Computer Science at the University of Minnesota are listed below:
- Application courses:
User Interface Design, Implementation, and Evaluation; Recommender Systems; Collaborative and Social Computing; Embodied Computing: Design & Prototyping [WI]; Introduction to Computer Security; Functional Genomics, Systems Biology, and Bioinformatics; Modern Cryptography; Artificial Intelligence I; Artificial Intelligence II; Machine Learning Fundamentals; Introduction to Data Mining; Introduction to Intelligent Robotic Systems; Fundamentals of Computer Graphics 1; Computer Vision; Fundamentals of Computer Graphics II; Visualization; Animation & Planning in Games; Virtual Reality and 3D Interaction; Principles of Database Systems.
- Architecture, Systems, and Software:
Operating Systems; Introduction to Distributed Systems; Programming Languages; Introduction to Compilers; Advanced Computer Architecture; Data Communications and Computer Networks; Foundations of Advanced Networking; Wireless and Sensor Networks; Introduction to Parallel Computing: Architectures, Algorithms, and Programming; Sensing and Estimation in Robotics; Architecture and Implementation of Database Management Systems; Big Data Engineering and Architecture; Software Engineering I; Software Engineering II.
- Theory and Algorithms:
Analysis of Numerical Algorithms; Computational Aspects of Matrix Theory; Advanced Algorithms and Data Structures; Computational Techniques for Genomics; Machine Learning: Analysis and Methods.
- Colloquium:
Computer Science Colloquium.
- Computer Science 8000-level Courses :
Advanced Operating Systems; Foundations of Distributed Computing; Human-Computer Interaction and User Interface Technology; Understanding the Social Web; Advanced Compiler Techniques; CSCI 8205 – Parallel Computer Organization; Advanced Computer Networks and Their Applications; Security and Privacy in Computing; Sparse Matrix Computations; Numerical Linear Algebra in Data Exploration; Computational Geometry and Applications; Intelligent Agents; Big Data in Astrophysics; Overview of Database Research; Spatial Data Science Research; Databases for Bioinformatics; Advanced Database Systems; Advanced Software Engineering; Special Advanced Topics in Computer Science; Independent Study; Directed Research in Computer Science.
- Electives:
Computer Science Courses:
Operating Systems; Introduction to Distributed Systems; Programming Languages; User Interface Design, Implementation and Evaluation; Collaborative and Social Computing; Real-Time and Embedded Systems; Introduction to Compilers; Advanced Computer Architecture; Data Communications and Computer Networks; Wireless and Sensor Network; Introduction to Computer Security; Analysis of Numerical Algorithms; Computational Aspects of Matrix Theory; Advanced Algorithms and Data Structures; Introduction to Parallel Computing: Architectures, Algorithms, and Programming; Functional Genomics, Systems Biology, and Bioinformatics; Computational Techniques for Genomics; Artificial Intelligence I; Artificial Intelligence II; Machine Learning Fundamental; Introduction to Data Mining; Machine Learning: Analysis and Methods; Introduction to Intelligent Robotic Systems; Sensing and Estimation in Robotics ; Computer Vision; Fundamentals of Computer Graphics 1; Fundamentals of Computer Graphics II; Animation & Planning in Games; Virtual Reality and 3D Interaction; Principles of Database Systems; Architecture and Implementation of Database Management Systems; From GPS, Google Maps, and Uber to Spatial Data Science; Software Engineering I; Software Engineering II; Special Topics in Computer Science; Human-Computer Interaction and User Interface Technology; Parallel Computer Organization; Advanced Computer Networks and Their Applications; Security and Privacy in Computing; Numerical Linear Algebra in Data Exploration; Intelligent Agents; Spatial Data Science Research; Advanced Database Systems; Computer Science Colloquium.
Tuition Details for the Online Masters of Science in Computer Science at University of Minnesota-Twin Cities:
- MSCS program is 31 credits program.
- Tuition per credit offered for Online MSCS at University of Minnesota is $1,465 per credit.
- The estimated total cost to complete Online MSCS at University of Minnesota is $45,415.
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Online Master of Science in Computer Science at the University of Southern California
The University of Southern California is a Private University, located in California, Sacramento, which is ranked as #25 in Best National University.
The Master’s degree in computer science offers extensive preparation for methods and theories related to the design, programming, and application of computer systems.
Students are provided with a deep understanding of both the fundamentals and the major current issues in computer science and computer engineering so that they can either obtain employment opportunities or pursue advanced degrees.
The M.S in Computer Science program requires students to take a wide range of courses while at the same time allowing them to focus on the desired areas of specialization.
Admission requirements for the Online Masters of Science in Computer Science at the University of Southern California:
- Transcripts must be submitted.
- GRE scores are not required.
- Resume.
- Personal statement.
- Letters of recommendations should be submitted.
- International students must submit TOEFL and IELTS scores.
Application Deadline to apply for the fall semester for Online MSCS at the University of Southern California is January 15.
Curriculum details for Online Masters of Science in Computer Science at the University of Southern California:
Master of Science in Computer Science program is a 28 hours credits program. Students can complete their Online Masters in Computer Science within 18-24 months.
Courses offered for Online Masters in Computer Science at the University of Southern California are listed below:
- Core Requirement:
Analysis of Algorithms (4 units)
- CSCI Courses Available on DEN@Viterbi :
Operating Systems; Introduction to Programming Systems Design; Software Management and Economics; Security Systems; Applied Cryptography; Computer Networking; Foundations of Artificial Intelligence; Requirements Engineering; Analysis of Algorithms; Information Retrieval and Web Search Engines; Multimedia Systems Design; Software Engineering; Software Engineering; Software Architectures; Database Systems.
Tuition Details for the Online Masters of Science in Computer Science at the University of Southern California:
- MSCS program is a 28 credits program.
- Tuition per credit offered for Online MSCS at the University of Southern California is $2,148 per credit.
- The estimated total cost to complete Online MSCS at the University of Southern California is $60,144.
Know more about the University of Southern California
Quick Facts of Online Masters of Science in Computer Science program
Georgia Institute of Technology | The University of Minnesota-Twin Cities | University of Southern California | |
Private/Public | Public University | Public University | Private University |
Ranking | Ranked as #35 in Best National University and ranked #24 in Kiplinger | Ranked as #71 in Best National University and ranked #7 in Kiplinger | Ranked as #25 in Best National University |
Degree Offered | Online Masters of Science in Computer Science | Online Masters of Science in Computer Science | Online Masters of Science in Computer Science |
Type | 100% Online Program | 100% Online and Hybrid Program | 100% Online Program |
STEM Program | Yes | Yes | Yes |
GRE Required | No | No | No |
Duration | 24-36 Months | 24 months | 18-24 months for full time30-42 months for part time |
Part/Full time | Full time | Full time | Full time and Part time |
Total Credits | 30 Credits | 31 Credits | 28 Credits |
Tuition per Credit | $180/Credit | $1,465/Credit | $2,148/Credit |
Program Cost | $5,400 | $45,415 | $60,144 |
Financial Aid | Yes | Yes | Yes |
International Students Accepted? | Yes | Yes | Yes |
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