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Nội dung bạn sẽ được học

Introduction

Broaden your expertise through the use of Artificial Intelligence (AI) techniques. In a world reliant on data to improve processes and monitor success, this course will help you gain transferable skills in AI to benefit your work place. It's been designed in response to the high demand for experts in big data analysis and modelling. Choose to take an optional 12-week work placement as part of your course and boost your employability. The combined effect of the big volume of data availability on a global scale and a significant increase in processing power offered by technologies like cloud computing has made it possible to unlock the true potential of machine learning algorithms, extract features from data, and to expand the application domain of artificial intelligence.

The need to adapt and incorporate the ever-growing field of AI and it’s technologies into current business practices is putting increasing pressure on industries to invest in their legacy systems. Supported by Intel’s AI Academy through their online and data processing resources, the skills you will learn can be applied to AI-enabled business strategies and marketing, management of database records, e-business technologies, IT system development and design, and IT project management. This course is designed to build on the skills of computer scientists, software engineers, IT professionals or established professionals in the areas of computing, mathematics and/or data analysis, to improve and create better systems in their industries, expanding knowledge of machine learning and enabling technologies. Businesses also have the opportunity to present students on this course with their real life problems through attending as a guest lecturer. We also encourage you to attend local meetings and lectures organised by the IET and BCS, some of which are hosted by our University. This exposes you to engineers from local industries and introduces you to 'what's hot' in technology, an advantage to being based in the centre of Cambridge with its Science and Business Park.

How you'll be assessed

Throughout the course, we’ll use a range of assessment methods to measure your progress. You’ll complete exams, essays, research reports, oral presentations, and a dissertation on a subject of your choice.

Careers

Cambridgeshire is home to companies that are looking for graduates with skills in machine learning and artificial intelligence techniques that our course will provide. We have chosen the modules for this course to ensure the curriculum reflects the modern trends in Artificial Intelligence. Each module gives you a glimpse into the workings of the IT industry and presents you with topics that prepare you for entering the job market. If you'd like to continue your studies in research or further education, Anglia Ruskin offers a wide range of full-time and part-time postgraduate research degrees including MPhil or/and PhD in Computer Science, or even a DProf in Science and Technology.

Khoa bạn sẽ vào học

Computing and Technology

Các hình thức học tập

Toàn thời gian (20 tháng)

Học phí
£15,000.00 (375,000,000 đ) một năm
Standard degree fee £15,000; Placement fee (UK, EU and international students) £625.

Chi phí cố định

*Thông tin chi phí có thể chưa cập nhật tại thời điểm bạn xem. Vui lòng liên hệ nhà trường để kiểm tra lại.

Ngày bắt đầu

12 Tháng Một 2023

Địa điểm

Cambridge Campus

East Road,

Cambridge,

Cambridgeshire,

CB1 1PT, England

Toàn thời gian (12 tháng)

Học phí
£15,000.00 (375,000,000 đ) một năm
Chi phí cố định

*Thông tin chi phí có thể chưa cập nhật tại thời điểm bạn xem. Vui lòng liên hệ nhà trường để kiểm tra lại.

Ngày bắt đầu

9 Tháng Một 2023

Địa điểm

Cambridge Campus

East Road,

Cambridge,

Cambridgeshire,

CB1 1PT, England

Yêu cầu đầu vào

Dành cho sinh viên đến từ Mỹ

Students need to have Bachelor degree with final GPA of 2.7. Those who hold a recognised pre-Masters course is also considered. Our standard entry criteria for postgraduate courses is IELTS 6.5 or equivalent, with nothing lower than 5.5 in any of the four elements (listening, speaking, reading and writing).

Dành cho sinh viên quốc tế

Students need a first degree, with honours, at a minimum final classification of Lower Second (2.2), or equivalent, in a Computing, Electronics, Mathematics or Statistics subject. Alternatives If they have an unrelated honours degree (2.2 or above) or a foundation degree in Computing, plus work experience at a suitable level, they may be considered on an individual basis. Applicants may be invited for interview to determine their suitability for the course. Students will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 (Academic level- with no individual score being lower than 5.5) or equivalent English Language qualification, as recognised by Anglia Ruskin University. TOEFL iBT with 88 overall and a minimum of 17 in Writing and Listening, 18 in Reading and 20 in Speaking.

*Có thể có những yêu cầu khác nhau về IELTS tùy thuộc vào khóa học bạn chọn

THÊM VÀO DANH SÁCH YÊU THÍCH

Giới thiệu trường Anglia Ruskin University

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