Computer Science MSRochester Institute of Technology
Computer Science MS
All available course dates
Computer Science MS
In this dynamic computer science master's degree, you'll explore computer graphics and visualization, data management, and intelligent systems while developing the skills to excel in this ever-changing field.
The computer science masters is designed for students who have an undergraduate degree (or minor) in computer science, as well as those who have a strong background in a field in which computers are applied, such as engineering, science, or business. You’ll apply theoretical principles underlying computer science, ensuring you acquire the intellectual tools necessary to keep up-to-date in this rapidly evolving discipline. With focused course work in areas such as computer graphics and visualization, data management, distributed systems, intelligent systems, programming languages and tools, and security, you’ll be prepared for career advancement in a range of areas.
The program consists of a core curriculum, a diverse set of clusters, and many additional electives. The clusters provide students with the opportunity to obtain depth in a computer science discipline. The electives add the necessary breadth of knowledge required by industry. This combination prepares our graduates to engineer modern computing systems and contribute to all aspects of systems life cycles.
Clusters are offered in a variety of areas, including computer graphics and visualization, data management, distributed systems, intelligent systems, programming languages and tools, security, and theory. Certain pre-approved courses from other departments also may be counted toward the degree.
The computer science master's helps students prepare for academic and research careers in computer science or a related discipline. The program is designed for students who have an undergraduate major or minor in computer science as well as those who have a strong background in a field in which computers are applied.
Faculty members in the department are actively engaged in research in artificial intelligence, wireless networks, pattern recognition, computer vision, visualization, data management, combinatorics, and distributed computing systems. There are many opportunities for graduate students to participate in these activities toward thesis or project work and independent study.
Get to know RIT virtually! We hold a wide variety of virtual events such as information sessions, open houses and webinars throughout the year. For a complete schedule, click on our website and navigate to Visit & Events - Informational Events for a current schedule
To be considered for admission to the MS program in technology innovation management and entrepreneurship, candidates must fulfill the following requirements:
- Complete a graduate application.
- Hold a baccalaureate degree (or equivalent) from an accredited university or college.
- Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
- Submit scores from the GMAT or GRE. (GMAT preferred for international applicants and those applying for scholarships.)
- Submit a personal statement of educational objectives.
- Submit a current resume or curriculum vitae.
- International applicants whose native language is not English must submit scores from the TOEFL or IELTS exams. A minimum score of 88 on the TOEFL or 6.5 on the IELTS exams is required (requirements on sub-scores on each component of the TOEFL or IELTS may also apply). The English language test score requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions.
- Completed applications for admission should be on file in the Office of Graduate and Part-time Enrollment Services at least four weeks prior to registration for the next academic semester for students from the United States, and up to 10 weeks prior for international students applying for student visas.
For more information about admission requirements, please visit the institute website.
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Computer Science (thesis option)
- Foundations of Algorithms
- Computer Science MS Thesis
- Cluster Courses
Computer Science (project option)
- Foundations of Algorithms
- Computer Science MS Project
- Cluster Courses
Scholarships & funding
Several scholarship options are available. Please check the institute website for more information.
The program consists of one core course, three courses in a cluster, four electives, and a thesis or project. For those choosing to complete a project in place of a thesis, students complete one additional elective. The degree is offered on a full- or part-time basis.
Full-time students take three or four courses per semester and may be able to complete the course work in three semesters. Full-time students who are required to take additional bridge courses may be able to complete the course work in four semesters.
Part-time students take one or two courses per semester and may be able to complete the course work in four to five semesters. The time required to complete a master’s project is one semester. To complete a master’s thesis, two semesters is typical.
- Tuition fee for (12-18 Credit Hours): $50,136 per year
- Tuition fee for (9 Credit Hours): $37,602 per year
- Tuition fee for (1 to 8 credits): $2,089 per credit hour
- Software Developer
- Application Developer
- Database Administrator
- System Integration Engineer
- Software Engineer
- Security Engineer
About this institute
Rochester Institute of Technology
Rochester Institute of Technology (RIT) is a privately endowed, coeducational university made up of more than 19,000 students and from all 50 states and over 100 nations. RIT’s main campus is located in Rochester, NY, USA, which is approximately 350...
Why study at Rochester Institute of Technology
You should consider RIT for your graduate study because: it has cutting-edge academic programs, outstanding faculty, and first-rate classroom and laboratory facilities; offers unmatched experiential education programs including co-op; has an excellent reputation and rankings; offers generous financial aid to graduate students; delivers a high return on investment; has an environmentally friendly, sustainable campus; provides a diverse student population, and makes a well-connected network of 135,000 alumni available to graduates.
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