Chi tiết khóa học Data Science and AI in Creative Industries MSc, Norwich University of the Arts, Norwich University of the Arts

Data Science and AI in Creative Industries MSc

Anh Quốc

3

Nội dung bạn sẽ được học

The MSc in Data Science and AI in Creative Industries builds on your experience in creative and non-technical subjects to prepare you for professional roles in the rapidly evolving fields of creative technology, data science and AI.This course takes an experimental and exploratory approach, enabling you to investigate fundamental conceptual and technological frameworks. You will engage with a range of computational approaches to data science questions, using your specialist knowledge to interrogate and redefine the boundaries of data science and AI, presenting innovative solutions based on experimental research data and methods.This course is for those looking to break into data science and AI from non-technical backgrounds. The course focuses on tackling complex data science problems within creative technology and functional AI. Through project-based learning, you will enhance your skills in modern programming languages, machine learning methods, experimental tools, and data analysis.The course supports a critical and ethical approach, reflecting on the social implications of data science and AI on society. There is an emphasis on interdisciplinary collaboration and creative problem-solving to strengthen your technical and teamwork skills, critical thinking, and your proficiency in analysing, validating, and interpreting data.

Khoa bạn sẽ vào học

Norwich University of the Arts

Các hình thức học tập

Toàn thời gian (1 năm)

Học phí
£24,000.00 (783,381,859 đ) một năm
Chi phí dự kiến
Ngày bắt đầu

Tháng Chín 2027

Địa điểm

Norwich University of the Arts

Francis House,

3-7 Redwell Street,

Norwich,

Norfolk,

NR2 4SN, Central England, United Kingdom

Yêu cầu đầu vào

Dành cho sinh viên quốc tế

We typically require an honours degree of 2:1 or above. Applicants should have a good working knowledge of programming gained from work, university study, or personal interest. Details on your programming experience should be included as part of your application. Those with industry experience or relevant skills from non-traditional backgrounds are encouraged to apply, including individuals currently employed.

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