1,578 컴퓨터 과학 및 AI MSc(이학 석사) Degree Programs

IU International University of Applied Sciences 의 인공지능(AI) 컴퓨터 과학 석사 과정은 독일 쾰른 캠퍼스에서 24개월 동안 영어로 진행되는 프로그램입니다. 커리큘럼은 머신러닝, 자연어 처리(NLP), 컴퓨터 비전, 확장 가능한 AI 시스템 등을 다룹니다. 독일어 사전 지식은 필요하지 않습니다. 졸업생은 독일 최대 규모 대학에서 수여하는 독일 국가 공인 학위를 취득하며, 18개월 취업 비자를 신청할 수 있습니다. IU 졸업생의 평균 취업률은 2.6개월입니다.

책임 있는 AI 시스템 엔지니어링 석사 과정은 다양한 사회 분야에 혁신을 일으키고 있으며, 이러한 시스템을 책임감 있게 설계해야 하는 시급한 과제를 안겨줍니다. 따라서 컴퓨터 과학, 지속가능성, 그리고 윤리의 교차점에서 활동할 수 있는 고도로 자격을 갖춘 전문가에 대한 수요가 꾸준히 증가하고 있습니다.

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'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.

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.

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.

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.

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.

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.

You will learn how to advance the study of brain and cognition by adopting typical AI tools, such as computer simulation, brain-computer interfacing and robotic design.

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

The master’s programme in Applied and Computational Mathematics fosters skilled applied mathematicians, well-prepared for advanced industrial positions or PhD studies. The programme offers four tracks: Computational Mathematics, Financial Mathematics, Optimisation and Systems Theory, and Mathematics of Data Science. Graduates acquire skills in advanced mathematics and computer simulation that are in demand in several important fields.

MSc AI 및 지속 가능한 개발 프로그램은 전 세계적으로 서비스가 부족한 지역의 우선 순위를 바탕으로 엄격한 학제 간 교육을 제공합니다. 우리는 소외된 커뮤니티를 세심하게 향상시키는 상황별 AI 혁신을 포함하는 체계적인 접근 방식을 개척할 책임 있는 리더를 양성합니다. 졸업생은 윤리적 기술 배포와 포용적이고 지속 가능한 개발의 결합을 주도합니다.