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The aim of the programme is to offer a deep and up-to-date education in data science, machine learning and artificial intelligence that prepares graduates with key knowledge, skills and competencies necessary for employment in data engineering, data analysis, data architect (as well as managerial positions on those topics), or as preparation for further research and innovation careers.
In particular the programme aims to provide students with:
Comprehensive knowledge and understanding of the fundamental principles of artificial intelligence, data science and machine learning, which will remain applicable through changes in technology.
Advanced knowledge and practical skills in the theory and practice of data analytics.
The necessary skills, tools and techniques needed to embark on careers as data scientist, or professional developers skilled in data science.
Skills in a range of practices, processes, tools and methods applicable to data science in commercial and research contexts.
Timely exposure to, and practical experience in, a range of current technologies and emerging trends at the forefront of data science, such as Deep Learning, Natural Language Processing and Trustworthy AI.
Opportunities for the development of practical skills in a commercial context.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The aim of the programme is to offer a deep and up-to-date education in data science, machine learning and artificial intelligence that prepares graduates with key knowledge, skills and competencies necessary for employment in data engineering, data analysis, data architect (as well as managerial positions on those topics), or as preparation for further research and innovation careers.
In particular the programme aims to provide students with:
Comprehensive knowledge and understanding of the fundamental principles of artificial intelligence, data science and machine learning, which will remain applicable through changes in technology.
Advanced knowledge and practical skills in the theory and practice of data analytics.
The necessary skills, tools and techniques needed to embark on careers as data scientist, or professional developers skilled in data science.
Skills in a range of practices, processes, tools and methods applicable to data science in commercial and research contexts.
Timely exposure to, and practical experience in, a range of current technologies and emerging trends at the forefront of data science, such as Deep Learning, Natural Language Processing and Trustworthy AI.
Opportunities for the development of practical skills in a commercial context.
Admission Requirements
34+
4 Years
Sep
Domestic
4,750 GBP
International
25,300 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:
BSc Data Science with Year of Professional Experience
Queen’s University Belfast, Belfast, United Kingdom
48 monthsProgramme duration
25,300 GBPTuition Fee/year
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The aim of the programme is to offer a deep and up-to-date education in data science, machine learning and artificial intelligence that prepares graduates with key knowledge, skills and competencies necessary for employment in data engineering, data analysis, data architect (as well as managerial positions on those topics), or as preparation for further research and innovation careers.
In particular the programme aims to provide students with:
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The aim of the programme is to offer a deep and up-to-date education in data science, machine learning and artificial intelligence that prepares graduates with key knowledge, skills and competencies necessary for employment in data engineering, data analysis, data architect (as well as managerial positions on those topics), or as preparation for further research and innovation careers.
In particular the programme aims to provide students with:
Admission Requirements
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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