2,574 컴퓨터 과학 및 IT 경영 Degree Programs

사이버 보안과 애자일 개발에 대해 알아보고 소프트웨어, 웹 개발 및 혁신에 대한 열정을 키워보세요. NHL 스텐덴 응용과학대학의 정보 기술을 통해 프로그래밍 언어, 데이터베이스, 운영 체제, IT 아키텍처 및 웹 기술에서 자신의 강점을 발견할 수 있습니다. 또한 필수적인 커뮤니케이션 기술을 개발할 수 있습니다.

IU 의 IT 관리(MBA) 석사 프로그램은 귀하의 IT 전문성과 리더십 자질을 바탕으로 다음 단계로 나아가는 데 도움이 될 것입니다. 이 프로그램은 현대 IT 서비스, 개념적 소프트웨어 설계, IT 개념 및 프로젝트 관리를 다룹니다. 또한 리더십 자질과 소프트 스킬에 중점을 두어 개인으로서 성장하고 경력 기회를 향상시키는 데 도움을 줍니다.

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.

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

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.

Intelligent products of the future will change the ways in which people work and play. To envision these developments requires empathy and responsibility on the part of designers. It requires skills of critical judgment and an open-minded attitude as well as competencies beyond traditional engineering and computer science. It additionally requires engagement in multidisciplinary teams for the development of successful products and services that benefit the world.

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.

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 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.

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.

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.

IT 준비 프로그램에 참여하여 유럽 수준의 국가 공인 온라인 대학 과정을 준비하세요. 2월에 시작합니다. 주요 내용은 IT 기초(시스템, 프로그래밍, 데이터), 인공지능(AI 및 응용 머신러닝 개론), 사이버 보안(위협, 방어, 모범 사례)입니다. 수강료는 2,500유로이며, 모든 강의 및 보충 자료, 온라인 접속 권한이 포함됩니다. 지금 신청하여 IT 경력을 시작하세요.

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.