Masters in Computer Networking in USA

See Masters Programs in Computer Networking in USA 2017

Computer Networking

A masters is earned after students complete an undergraduate degree program. To obtain a masters, you usually need to complete 12 to 18 college courses that often involve completing comprehensive tests and/or a thesis.

A computer networking program often includes topics such as the theoretical concepts behind computer networks, software, hardware and configurations. Students may develop an understanding of program designs and the differences between the most common networks. These programs may also include some hands-on opportunities.

The USA remains the world’s most popular destination for international students. Universities in the US dominate the world rankings and the country also offers a wide variety of exciting study locations. State university systems are partially subsidized by state governments, and may have many campuses spread around the state, with hundreds of thousands of students.

Top Master Programs in Computer Networking in USA 2017

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M.S. in Computer Science

University of San Francisco - College of Arts & Sciences
Campus Full time 2 years August 2017 USA San Francisco

The ever-changing world of software and computer science has always demanded more advanced training and education. [+]

Master in Computer ScienceThe ever-changing world of software and computer science has always demanded more advanced training and education.With the University of San Francisco's prime location in the heart of the San Francisco Bay Area and its proximity to Silicon Valley, USF graduate students enjoy an environment rich with the many innovations and opportunities of this world-renown region of technology. For these reasons and others, the number of students in the graduate program in Computer Science at the University of San Francisco has grown by 65% since 1999. USF also offers a three-year MSCS Bridge Program that provides a unique opportunity for students who are from non-Computer Science backgrounds to pursue an MS in Computer Science. In the first year, students take preparatory classes. The Master of Science in Computer Science (MSCS) provides students with a broad background in software development and other core disciplines of computer science. This core background serves as a sound foundation for CS graduate students as they develop a substantial software project - either as a research-driven or commercially sponsored project.Small classes and close interaction with full-time faculty are a hallmark of graduate education at USF. Along with the full-time teaching and research faculty, outside experts bring real-word computing experience to the classroom. In the Harney Science Center on the USF campus, a state-of-the-art computer and multimedia studio was constructed and endowed with a $2.5 million gift from a Computer Science alumnus. Students and faculty also maintain the W.M. Keck Computer Cluster (a Myrinet-connected network of 128 processors which provides students with on-site access to one of the most powerful computers at a liberal arts university).... [-]

Master in Computer Science

Cornell Tech
Campus Full time 1 year September 2017 USA Chelsea

The technology field is increasingly fast-paced and entrepreneurial, and the most successful developers and programers are the ones who understand how technology turns into product. Our CS masters degree will give you that understanding. [+]

Master in Computer Science Technology exists to meet human needs and solve human problems. And today's technology-driven start-ups need engineers and computer scientists who also understand the business side of bringing innovative solutions to market. Cornell Tech's Master in Computer Science will give students the technical skills needed to develop cutting edge solutions while exposing them to entrepreneurship and product management. Learn Through Cross-Disciplinary Collaboration No matter where you apply your computer science and engineering skills, you'll most likely be working in collaboration with product and project managers, sales and marketing executives, even lawyers. Your success will depend on your ability to speak their language, to see how your technological expertise fits into the greater whole of the company, and to draw inspiration from every part of the business. In Cornell Tech's Master in Computer Science program, you'll not only get a rock solid technical education, you'll learn side-by-side with business and law students as well as other technology students. You'll work together in teams to develop your own business in the Startup Studio and develop innovative solutions for real business clients as part of your Company Challenge in Product Studio. In the process, you'll develop the kind of business savvy and communication skills—as well as peerless technical know-how—that have made previous graduates prime recruiting targets of companies like Google, Facebook, and numerous startups. Who Should Apply? You should apply to Cornell Tech's Master in Computer Science if you have an academic background in computer science or a related technical field, a strong entrepreneurial streak, and a passion to lead in the tech industry. If you do not have a technical academic background, you should have taken courses in software engineering and linear algebra and have working knowledge of data structures and algorithms. A Master of Engineering in Computer Science is also offered on Cornell's Ithaca campus with more opportunities for elective courses than Cornell Tech’s entrepreneurship and product development focused studio curriculum. Learn more. Topics Covered Machine Learning Data Science Computer Security & Privacy Computer Vision NLP HCI Systems (Computer) FEATURED COURSE Applied Machine Learning Credits 3.00 This course will help students learn and apply key concepts of modeling, analysis and validation from Machine Learning, Data Mining and Signal Processing to analyze and extract meaning from data. Students will implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. They will also gain a working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, association rule mining and dimensionality reduction. Careers in the Field Software Developer Product Manager Data Scientist Startup Founder or CTO Curriculum The Master in Computer Science curriculum includes a variety of rigorous courses that will give you the the skills you need to develop digitally enabled solutions to emerging business challenges and human needs. In an educational innovation unique to Cornell Tech, you'll also participate in an immersive Studio experience, in which you'll hone your team-building and leadership skills while developing a new product idea in response to the strategic needs of a real organization and create your own startup. What Your Schedule Might Look Like In the fall you’ll take Startup Systems Engineering and technical electives like Applied Machine Learning, Security & Privacy in the Wild, and Physical computing. In the afternoons you’ll work on team-based projects in Product Studio and Startup Ideas and learn firsthand from industry leaders in Conversations in the Studio. In the spring you’ll take technical electives like Data Science in the Wild, Natural Language Processing, HCI & Design or business electives like Design Thinking and Disruptive Tech. In the afternoons, you’ll pursue team-based projects in Startup Studio and Product Management. MEng Application Timeline Cornell Tech offers three application rounds. Applicants are encouraged to submit their application when ready. We will consider applicants that apply in each application round. We review applications as we receive them. The 2016-2017 application deadlines for Computer Science are as follows: Round 1 - October 3, 2016 Round 2 - January 20, 2017* Round 3 - March 3, 2017 *Scholarship: To be considered for a merit-based scholarship, applicants are strongly encouraged to apply by the January 20th Round 2 application deadline. ** Complete applications received by April 10, 2017 will still be given full consideration for admission, capacity permitting; but applicants are encouraged to submit their applications as early as possible.Submitting applications early ensures early response. Application Requirements To be considered, all applicants must provide the following in their online application: Résumé You must submit a current résumé along with your application. With the use of LinkedIn, you will have the option to auto-populate the employment and education information listed within your online professional profile. Please note, any information that is auto-populated from LinkedIn can be edited. Personal Statement Here at Cornell Tech, you will be part of an environment where creativity, technical depth and leadership share seats at the table. We value expressions of who you are and what you add to this formula. Please submit a one- to two-page statement that describes your interest in this program at Cornell Tech. Your submission should highlight personal experiences that demonstrate your creativity, leadership and technical abilities. In particular, feel free to elaborate on technical projects you have completed, their creative and technical aspects; any entrepreneurial or leadership experiences; your professional career goals; the benefit you envision being part of the tech ecosystem in New York City; and, why this program is the one for you. Two Recommendations Recommenders should be faculty members or other individuals who know the applicants professionally and have seen them play a major role on substantial projects. Recommendations must be submitted online. GRE The GRE is required for admission to Cornell Tech. All official test scores should be reported directly to Cornell University. Students who have received (or will have received) a Bachelor degree from Cornell University are exempt from the GRE requirement for the Master of Engineering program. The GRE institution code for Cornell is 2098. Please be consistent in the spelling of your name on both your application and test score report. Transcripts Transcripts from each previously-attended college or university are required and must be uploaded online with the application. Admitted students will be required to submit an official transcript directly to Cornell University Graduate School prior to matriculation. Application Fee A nonrefundable application fee of $95 must be submitted with the online application. International Applicants Transcripts In addition to the aforementioned program requirements, international applicants must provide a certified English translation of transcripts if the original language is not English. Successful international applicants will have received a baccalaureate degree from a college or university of recognized standing. TOEFL Applicants must also demonstrate proficiency in the English language by taking the Test of English as a Foreign Language (TOEFL). Official TOEFL scores must be sent to the Cornell University Graduate School. The institution code is #2098. Cornell’s official minimum sub-scores for each element of the TOEFL are as follows: Writing: 20 Reading 20 Listening 15 Speaking 22 The TOEFL requirement may be waived if the applicant meets at least one of these criteria: Is a native citizen of the United States, Australia, Canada (except Quebec), Ireland, New Zealand or the United Kingdom. Has studied in full-time status for at least two academic years within the last five years in the United States, Australia, Ireland, New Zealand, the United Kingdom, or with English language instruction in Canada or South Africa. You must submit a transcript that shows you have attended college in one of these approved locations. [-]

MEng in Computer Science

Northern Arizona University
Campus Full time August 2017 USA Flagstaff

This program assists students who wish to upgrade their current engineering expertise by delving into the contemporary and future-forward area of computer science. The plan features real-world relevancy and flexibility in course format and distance delivery. [+]

Best Masters in Computer Networking in USA 2017. The MEng CS degree is a non-thesis program that focuses on building advanced computer science expertise through a project-based experience. Graduates with this degree possess advanced expertise and are well-qualified to be a leader in a variety of software development organizations. Students who are planning on further graduate study in a Ph.D. program may be interested in the thesis-based MSE CS program. This program assists students who wish to upgrade their current engineering expertise by delving into the contemporary and future-forward area of computer science. The plan features real-world relevancy and flexibility in course format and distance delivery. What Can I Do with a Master of Engineering in Computer Science? Computer scientists use algorithms and data structures to harness the incredible processing power of modern computers towards constructive ends. They write programs, the basic building blocks that form the computer world. They also create the databases, the "office" software, and the networking protocols at the core of today computing demands in business, science, and engineering. If this sounds like the career for you, we can help. Our program is intended to meet your educational needs as a practicing engineer. You will have the opportunity to enhance and/or develop the skills, knowledge, and understanding that are critical to today practicing engineers. Courses are offered through a variety of forms, including distance-delivery methods and flexible formats. Note: If you are interested in this advanced degree, you must apply and be accepted to the Master of Engineering program in addition to being admitted to the university. With further education, one of these paths is possible: Researcher Database analyst Engineering consultant Computer programmer University Requirements To receive a master’s degree at Northern Arizona University, you must complete a planned group of courses from one or more subject areas, consisting of at least 30 units of graduate-level courses. (Many master’s degree programs require more than 30 units.) You must additionally complete: All requirements for your specific academic plan(s). This may include a thesis. All graduate work with a cumulative grade point average of at least 3.0. All work toward the master’s degree must be completed within six consecutive years. The six years begins with the semester and year of admission to the program. In addition to University Requirements: Complete individual plan requirements. ADDITIONAL ADMISSION REQUIREMENTS Admission requirements over and above admission to NAU are required. NAU Graduate Online application is required for all programs. Details on admission requirements are included in the online application. Undergraduate degree from a regionally accredited institution Grade Point Average (GPA) of 3.00 (scale is 4.00 = "A"), or the equivalent. Admission to many graduate programs is on a competitive basis, and programs may have higher standards than those established by the Graduate College. Transcripts For details on graduate admission policies, please visit the Graduate Admissions Policy International applicants have additional admission requirements. Please see the International Graduate Admissions Policy Individual program admission requirements include: B.S. degree in Engineering or completion of prerequisite courses (see department website for details) GRE® revised General Test 3 letters of recommendation Personal statement or essay MASTER'S REQUIREMENTS Take the following 30 units: Applied Mathematics, in a topic relevant to your specific interests, such as Fourier transforms or statistical analysis (3 units) Engineering or Computer Science Management course offered through such colleges as Engineering or Business (3 units) Computer Science Electives, selected with your advisory committee’s approval to match your interests (18 units) This can include up to 3 units in a cross-disciplinary or otherwise related course. Practice-Oriented Project, facilitated and developed under your advisory committee’s guidance and focused on a real-world problem or theoretical issue with immediate relevance to current computer science practice (6 units) Accelerated Bachelor's/Master's Plan Option This program is available as an Accelerated Undergraduate/Graduate Plan. Accelerated Programs provide the opportunity for outstanding undergraduates working on their bachelor’s degree to simultaneously begin work on a master’s degree, which may allow them to complete both degrees in an accelerated manner by applying 6 units toward both degrees. Students must apply to the accelerated program and the master’s program by the application deadline, and meet all requirements as listed on the Accelerated Bachelor's/Master's Programs to be considered for admission. Admission to programs is competitive and qualified applicants may be denied because of limits on the number of students admitted each year. Be sure to speak with your advisor regarding your interest in Accelerated Programs. Be aware that some courses may have prerequisites that you must also take. For prerequisite information click on the course or see your advisor. Student Learning Outcomes The Master of Engineering is a non-thesis professional degree, based primarily on course work and/or on an engineering project designed with the guidance of a faculty advisor to address a need or problem specific to their engineering field of study (Civil, Environmental, Electrical, or Mechanical Engineering). This degree program is designed to provide a broad, practice-based education. Demonstrate the ability to apply graduate level critical thinking skills to formulate and solve advanced civil (electrical/environmental/mechanical) engineering problems. Acquires knowledge on advanced contemporary engineering topics and computational tools specific to civil (electrical/environmental/mechanical) engineering. Develops the ability to identify, formulate, and solve relevant advanced civil (electrical/environmental/mechanical) engineering problems. Develops the ability to synthesize, explain, verify, and justify solutions to complex civil (electrical/environmental/mechanical) engineering problems. Demonstrate the ability to, independently and creatively, design, plan, and conduct complex civil (electrical/environmental/mechanical) engineering projects; Assesses the state of the art in the field of study. Applies, independently and creatively, appropriate engineering theories and tools towards developing a viable solution for the project. Designs and conducts activities specific to the project. Demonstrate the ability to communicate effectively the results of a comprehensive research project through oral presentations and publications. Creates a report reflecting the integration of knowledge acquired through the project. Delivers an oral presentation to peers summarizing the work performed on the project and its outcomes. Synthesizes and presents the relevance of the engineering project in both technical and non-technical terms. [-]

Master of Software Engineering

University of Wisconsin La Crosse
Campus Full time September 2017 USA La Crosse

The focus of the MSE program at the University of Wisconsin-La Crosse is to teach the advanced state-of-the-art technologies in software development with hands-on experience, and to apply the knowledge to some challenging real-world problems. [+]

The focus of the MSE program at the University of Wisconsin-La Crosse is to teach the advanced state-of-the-art technologies in software development with hands-on experience, and to apply the knowledge to some challenging real-world problems. The program will guide the students to acquire both technical skills and software project management skills that are required to lead and to carry out software development projects. The MSE program is slightly different from the traditional Masters program in Computer Science. It specializes in software engineering theory and practice. It includes a limited subset of applications such as Databases and Computer Networks. Graduates with a MSE degree are prepared to: design and analyze software systems efficiently conduct quality assurance be project leaders prepare cost estimations and feasibility analysis for software projects conduct testing and verification Graduates are employed as: software engineers software designers software developers testing engineers quality assurance personnel Program Prerequisites Students desiring to be admitted into the MSE program must have taken courses on the following topics or must have knowledge in these areas (evidence or supporting materials required): A modern programming language such as C, C++, C#, Java (UW-L equivalents: C-S 220 or C-S 224) Data Structures and Algorithms that includes abstract data types such as List, Stack, Queue, Tree and Graph (UW-L equivalent: C-S 340) Discrete Mathematics that includes topics on Set Theory, Predicate Logic, Functions and Relations (UW-L equivalent: MTH 225) Students who lack any of these prerequisites must take additional courses (not counted for credit towards the MSE program) to meet the program prerequisites requirement. A cumulative Grade Point Average (GPA) of 2.85 / 4.0 is required in these courses. Admission Requirements The student must have a bachelor’s degree in any other discipline with an overall GPA of at least 2.85 / 4.0 or a GPA of at least 3.0 / 4.0 in the last half of all undergraduate work, and must at least have 2 years of working experience in software development. In this case, the student must provide at least 2 references from the work place; the referees should be able to comment on the knowledge and skills of the student in software development. References can be submitted to the Computer Science Department directly or to the Admission Office with your graduate application materials. The student must have a bachelor’s degree in Software Engineering, Computer Science, Computer Engineering or an equivalent major, with an overall undergraduate Grade Point Average (GPA) of at least 2.85 / 4.0 or a GPA of at least 3.0 / 4.0 in the last half of all undergraduate work or a GPA of at least 3.0 / 4.0 for no fewer than 12 semester credits of graduate study at another accredited graduate institution. How to Apply U.S. Residents | International Students: Complete the online graduate application form which is available at All questions regarding the university application should be directed to Admissions, or (608) 785-8939. International Students: Additional information regarding International admissions can be found on the Admissions website now: An application packet should consist of the following: a completed UWL Application for Graduate Admission official transcripts of all undergraduate/graduate coursework completed two recommendation letters from the work place if undergraduate degree is in another discipline letter of intent for those individuals seeking financial assistantships non-refundable fee listed on UWL application Questions pertaining specifically to the MSE program should be directed to Kasi Periyasamy, MSE Program Director, (608) 785-6823 or the CS Department at (608) 785-6805. GRE scores are not required. However, it is strongly recommended that the student submit GRE scores, if they have them, along with the application. Do not send your application or transcripts to the academic department or program director. The Admissions Office will forward graduate application materials to the Computer Science Department for acceptance or denial to the MSE program. Once a decision has been made, the materials will be returned to the originating office who will send a letter indicating the MSE admissions committee decision. Please allow 4-6 weeks for processing once all required application materials have been received in the admissions office. Curriculum Students in the program should complete 24 credits of course work and 12 credits of a capstone project. The course work consists of 5 core courses and 3 elective courses. It is recommended that as many required courses be completed as possible before the elective courses and capstone project. Any questions should be directed to the MSE program director. Required Courses CS 744 Management Issues in Software Engineering CS 743 Software Verification and Validation CS 742 Formal Methods in Software Development CS 741 Software Engineering Principles CS 546 Object-Oriented Software Development Elective Courses CS 752 Independent Study CS 751 Seminar in Software Engineering CS 750 Topics in Software Engineering CS 571 Data Communications CS 570 Parallel and Distributed Computing CS 564 Advanced Database Management Systems CS 556 Secure Software Development CS 555 Fundamentals of Information Security CS 554 Digital Image Processing CS 553 Introduction to the Theory of Computation CS 552 Artificial Intelligence and Pattern Recognition CS 551 User Interface Design CS 549 Advances in Software Engineering CS 543 Topics in Operating Systems CS 542 Structure of Compilers CS 541 Operating System Concepts CS 531 Introduction to Robotics CS 521 Programming Language Principles CS 519 Independent Study CS 510 Free and Open Source Software Development CS 502 Web Application Development Capstone Project Work CS 798 Software Development Project [-]

Master in Computer Science

Western Illinois University College of Business and Technology
Campus Full time August 2017 USA Macomb

At Western Illinois University, graduate study in computer science offers the exciting opportunity to work with faculty in their research in artificial intelligence; architecture, database, graphics, languages, networking [+]

Best Masters in Computer Networking in USA 2017. At Western Illinois University, graduate study in computer science offers the exciting opportunity to work with faculty in their research in artificial intelligence; architecture, database, graphics, languages, networking, and systems design. You will also be able to access a variety of computer hardware and the best of current software. Our goals for the master’s program in computer science are to offer the knowledge you need to pursue careers in research and commercial environments, and to give you the ability to stay current in our dynamic and rapidly changing discipline. Our graduates have been successful in Ph.D. programs, in industrial research laboratories, in software and hardware design, and in middle and upper-level management for a variety of companies. Requirements If a student requires no remedial computer science coursework, a total of 33 semester hours is required for the master's degree in computer science. There are 18 hours of required core courses in operating systems, databases, artificial intelligence, networks, computer architecture, and computer graphics. The remaining hours are completed by taking depth courses in the same areas, writing a thesis, and/or completing a commercial-oriented project. There are three flexible options for completing your Masters degree in Computer Science at WIU: An all coursework option, a commercial project-oriented option, and a traditional research-based thesis option. In each, you will take courses that stress projects, teamwork, and a fundamental knowledge of computing. Thesis plan The thesis plan requires 27 hours of coursework and six hours of research. The final thesis will be a formal document describing the research and will be prepared in accordance with the requirements of the School of Graduate Studies. Project plan The project plan requires 30 hours of coursework and three hours of directed study research. A final written report on the research project is required. All coursework plan The all coursework plan requires 33 hours of coursework. Tuition - In-State: $317.31 per credit hour - Out-of-State: $634.62 per credit hour [-]