6,828 컴퓨터 과학 및 AI Degree Programs

The online Master of Information and Data Science (MIDS) program is preparing the next generation of experts and leaders in the data science field and providing students with a UC Berkeley education without having to relocate. Students graduate with connections to UC Berkeley’s extensive alumni network in the Bay Area and across the world. All international applicants will be required to submit official Test of English as a Foreign Language (TOEFL) scores.

2021 년 아이비 리그 1 위 공과 대학 인 Columbia의 온라인 인공 지능 (AI) 프로그램은 AI에 대한 더 깊은 이해를 원하는 전문가와 리더를 위해 설계되었습니다. 일을 계속하면서 9-18 개월 안에 프로그램을 완료 할 수 있습니다. 학사 학위, Python 경험 및 Java, C 또는 C ++ 경험이 필요합니다. 이 비 학점 경영자 교육 프로그램에 대해 자세히 알아보십시오.

AI 실행에 필요한 기술적 전문성과 적용된 리더십 및 관리 전략을 결합한 프로그램으로 커리어를 발전시키세요. 조지타운 대학교의 100% 온라인 인공 지능 관리 전문 연구 석사 과정은 AI 전략 & 과 AI 개발 & 통합에 대한 주요 분야와 1년 만에 완료할 수 있는 선택적인 가속 트랙을 포함합니다. 기술 배경은 지원할 필요가 없습니다.

The M.S. in Computer Science and Engineering provides an interdisciplinary master’s degree in emerging technologies. Students take computer science, computer engineering, electrical engineering, and mechanical engineering courses. The program's primary objective is to give students a foundational understanding of the mechanical, electrical, and computing systems to design and build advanced mobile intelligent robotics applications.

This four-course, graduate-level Computer Science certificate program will update your skills and broaden your knowledge in computer science.

The master's programme in Computer Science provides a broad education in computer science. Students acquire a solid foundation in advanced algorithms, computer security, artificial intelligence and internet protocols, and gain expertise through specialisation tracks. Graduates pursue careers at the forefront of software-based technologies, for example, software engineers, game developers, and IT project managers, or go on to PhD studies in order to pursue careers in research labs or in academia.

The master's programme in Computer Simulations for Science and Engineering (COSSE) focuses on the multidisciplinary field of Computational Science and Engineering, an enabling technology for scientific discovery and engineering design. It involves mathematical modelling, numerical analysis, computer science, high-performance computing and visualisation. The programme is highly research-oriented, and two-thirds of graduates go on to PhD studies at leading universities worldwide.

Develop state-of-the-art computing expertise that will prepare you for a highly successful career when you enroll in the Master of Science (MS) in Computer Science at Hofstra University. Study dynamic areas such as data mining and machine learning; networks and network security; distributed, parallel, and mobile computing; computer graphics and computer vision; and artificial intelligence. Gain valuable hands-on experience through paid positions offered as part of our co-op program. Choose to take courses either online or on campus. Scholarships are available for qualified candidates.

We offer a versatile 2-year Master's degree program in Computer Science, with the possibility of specializing in Algorithms, Concurrency, and Logic or Data Science.

This application-oriented engineering master's degree program in Computer Science will equip you with in-depth skills and knowledge in the application of algorithms, programming, and machine learning in the context of real-world business problems. A key component of the program is the concept of "computational thinking." As a student at Gisma University of Applied Sciences, you will be taught how to use abstraction and decomposition to tackle large complex tasks, design large complex systems, and analyze large data sets.

The program aims at preparing engineers to develop and use information technology tools, in order to satisfy the widest variety of applications. Compared to the Bachelor of Science, the Master of Science offers students the possibility to acquire greater ability to model and solve complex problems, integrating different advanced skills and technologies.

The 36-unit program in MS in Computer Science requires two years (four semesters) of full-time study and follows a cohort model during the first year in which all students take the same set of core courses. During the second year, students may choose from a rotating selection of graduate electives based on their interests and goals.

EPITA's Master of Science in Computer Science - Data Science & Analytics program spans 18 months and is taught 100% in English in Paris. This program provides students with a solid foundation of machine learning and programming along with practical experience. Accredited by the CGE (Conférence des Grandes Ecoles). The average annual gross salary of the program's graduates is €40,000.

As a JMU computer science major, you’ll understand and analyze problems across a wide range of applications. You'll develop solutions that can be computationally implemented, strive for the best solutions, and use resources effectively. You'll be part of a collaborative and inclusive community in which you are set up for success in your studies, your career, and your life. The major puts students in the middle of the exploding information revolution where they study technological advances such as object-oriented software, communication networks, multimedia systems, information security and artificial intelligence. Students will learn about computing technologies used by today’s professionals and how to use these technologies to solve real-world problems. Students will learn to analyze problems, design solutions, implement solutions using multiple computing technologies, test and install those solutions, and communicate those solutions to others in written and verbal presentations.

MSc in Economics and Business with a Specialisation in Data Science and Marketing Analytics combines theory and practice from computer science, marketing, economics, and statistics in such a way that the potential of Big Data and AI can be used successfully to create greater value for consumers and firms. It offers our students a thorough understanding and knowledge of a wide range of techniques that can all handle the large and heterogeneous data sources that are prevalent in many modern business settings.

The Master Program aims at students to acquire advanced scientific and technological knowledge on this subject and master a set of theoretical principles, scientific methods and formal instruments that enable them to carry out research, development and innovation work in this area, all in a flexible way to facilitate its adaptation to a rapidly changing environment such as IT.

Harness the power of today’s technology. You’re already computer savvy—now upgrade your career by boosting your acumen to the next level.

AI 시대의 디자인 작업을 재구성하세요. 최신 AI 도구와 연구, 아이디어 생성, 프로젝트 실행 방법을 원활하게 통합하여 디자인 접근 방식을 강화하세요.