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This taught Masters programme is aimed at graduates from STEM (science, technology, engineering and mathematics) and non-STEM subjects, who want to develop their digital skills. Experience in programming is not required. It is also suitable for people... Read more returning to study after a period of employment who are looking to upskill and improve their career prospects. You’ll cover topics such as, programming, statistics, machine learning, big data, data visualisation, computer vision and the ethical and legal responsibilities of using data. Learning is delivered online and on campus through a series of bespoke taught modules. In the third semester, you will do an academic dissertation or an industrial placement, where you will apply your knowledge to real-world problems, using data science and AI solutions. The University has teamed up with a range of employers to offer internship opportunities to students.Read less
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This taught Masters programme is aimed at graduates from STEM (science, technology, engineering and mathematics) and non-STEM subjects, who want to develop their digital skills. Experience in programming is not required. It is also suitable for people... Read more returning to study after a period of employment who are looking to upskill and improve their career prospects. You’ll cover topics such as, programming, statistics, machine learning, big data, data visualisation, computer vision and the ethical and legal responsibilities of using data. Learning is delivered online and on campus through a series of bespoke taught modules. In the third semester, you will do an academic dissertation or an industrial placement, where you will apply your knowledge to real-world problems, using data science and AI solutions. The University has teamed up with a range of employers to offer internship opportunities to students.Read less
Admission Requirements
3.3+
79+
6.5+
As a conversion MSc, this programme has been specifically designed to be accessible to students with a wide range of backgrounds in
STEM and non-STEM subjects. Applicants with a 2.1 Undergraduate degree in any subject that includes strong numerical content, are invited to apply. You will also need to
have previously studied a course or module in mathematics (pure or applied),
statistics, computing, or data analysis .
1 Year
Sep
Tuition fees
Domestic
13,000 GBP
International
14,000 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Artificial Intelligence and Data Science
University of Hull, Hull, United Kingdom
12 monthsProgram duration
14,000 GBPTuition Fee/year
Computer Science and Information SystemsMain Subject Area
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Read more returning to study after a period of employment who are looking to upskill and improve their career prospects. You’ll cover topics such as, programming, statistics, machine learning, big data, data visualisation, computer vision and the ethical and legal responsibilities of using data. Learning is delivered online and on campus through a series of bespoke taught modules. In the third semester, you will do an academic dissertation or an industrial placement, where you will apply your knowledge to real-world problems, using data science and AI solutions. The University has teamed up with a range of employers to offer internship opportunities to students. Read less
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Read more returning to study after a period of employment who are looking to upskill and improve their career prospects. You’ll cover topics such as, programming, statistics, machine learning, big data, data visualisation, computer vision and the ethical and legal responsibilities of using data. Learning is delivered online and on campus through a series of bespoke taught modules. In the third semester, you will do an academic dissertation or an industrial placement, where you will apply your knowledge to real-world problems, using data science and AI solutions. The University has teamed up with a range of employers to offer internship opportunities to students. Read less
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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