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The Bachelor in Mathematics, Specialization in Data Science for Artificial Intelligence, is a three-year intensive, high-level programme taught in English. The programme aims to address the needs of the fourth industrial revolution brought about by Artificial Intelligence (AI).
Artificial intelligence is completely remodelling today’s societies to the point that many argue that it is fostering a fourth industrial revolution.
Advances in Machine Learning are profoundly transforming technology. In fact, and basing on recent discoveries in Mathematics and Data Science, complex algorithms imbedded in modern systems allow to accomplish more complex tasks (decision-support systems, human-machine interaction, intelligent agents, etc). Today, AI-based applications requiring a deep knowledge of Mathematics and Data Science can be found in many fields, ranging from Insurance and Finance, to Health and Medicine, to Environmental studies, to Exploration of Space, to Digital Humanities, etc…
The programme provides students with state-of-the-art knowledge and competencies in Mathematics, Data Science and Machine Learning. It offers a carefully devised blend of traditional lecture/tutorial/lab tuition and more innovative, project-based learning. This produces graduates who are able to successfully apply their skills in the various fields of AI.
Examples of career-paths that could be undertaken by graduates of the programme are: Data Analyst/Scientist/Engineer, Machine Learning Engineer, Statistician, Quantitative Analyst (in Insurance and Finance), Developer in Machine Learning/AI, Computational Linguist/NLP Engineer, Business Intelligence Analyst, Business Analyst, Systems Analyst, Marketing/Operations Analyst, etc…
Moreover, graduates of this programme are especially well-equipped to start an Academic/Research career by pursuing a Master’s and a PhD in fields related to Mathematics, Data Science and Machine Learning in renowned research institution.
Program overview
Main Subject
Mathematics
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
The Bachelor in Mathematics, Specialization in Data Science for Artificial Intelligence, is a three-year intensive, high-level programme taught in English. The programme aims to address the needs of the fourth industrial revolution brought about by Artificial Intelligence (AI).
Artificial intelligence is completely remodelling today’s societies to the point that many argue that it is fostering a fourth industrial revolution.
Advances in Machine Learning are profoundly transforming technology. In fact, and basing on recent discoveries in Mathematics and Data Science, complex algorithms imbedded in modern systems allow to accomplish more complex tasks (decision-support systems, human-machine interaction, intelligent agents, etc). Today, AI-based applications requiring a deep knowledge of Mathematics and Data Science can be found in many fields, ranging from Insurance and Finance, to Health and Medicine, to Environmental studies, to Exploration of Space, to Digital Humanities, etc…
The programme provides students with state-of-the-art knowledge and competencies in Mathematics, Data Science and Machine Learning. It offers a carefully devised blend of traditional lecture/tutorial/lab tuition and more innovative, project-based learning. This produces graduates who are able to successfully apply their skills in the various fields of AI.
Examples of career-paths that could be undertaken by graduates of the programme are: Data Analyst/Scientist/Engineer, Machine Learning Engineer, Statistician, Quantitative Analyst (in Insurance and Finance), Developer in Machine Learning/AI, Computational Linguist/NLP Engineer, Business Intelligence Analyst, Business Analyst, Systems Analyst, Marketing/Operations Analyst, etc…
Moreover, graduates of this programme are especially well-equipped to start an Academic/Research career by pursuing a Master’s and a PhD in fields related to Mathematics, Data Science and Machine Learning in renowned research institution.
Admission Requirements
5.5+
71+
Admission requirements
Admission to the programme is very selective; the following are minimal criteria to apply for admission into the Foundation Year:
High-School with a minimum average of 80%; (General Stream); 75% (Advanced stream/ Elite Stream/ Science stream or equivalent)
Recent EmSAT-Math with a minimum score of 800 (Following MOE regulations, the EmSAT exam is required for specific applicants; please refer to the MOE’s website for more details)
Recent EmSAT-English with a Minimum score of 1250, or valid Academic-IELTS 5.5, or valid TOEFL-IBT 71
All candidates will be required to sit for a placement exam administered by the University before being considered for a conditional admission in the Science programmes.
All admissions in the Science programmes are conditional on the successful completion of the Foundation Year in Sciences.
Only applicants holding a French Baccalaureate are eligible, provided they meet specific requirements, to be considered for direct entry in the programmes. Such applicants might be required to sit a specifically designed placement test.
Admission is subject to capacity constraints. Applicant might, therefore, be placed on waiting list.
3 Years
Sep
Tuition fees
Domestic Students
58,615 USD
-
International Students
58,615 USD
-
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:
Bachelor in Mathematics, Specialisation in Data Science for Artificial Intelligence
Abu Dhabi Campus, Abu Dhabi, United Arab Emirates
36 monthsProgram duration
58,615 USDTuition Fee/year
MathematicsMain Subject Area
Program overview
Main Subject
Mathematics
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
The Bachelor in Mathematics, Specialization in Data Science for Artificial Intelligence, is a three-year intensive, high-level programme taught in English. The programme aims to address the needs of the fourth industrial revolution brought about by Artificial Intelligence (AI).
Artificial intelligence is completely remodelling today’s societies to the point that many argue that it is fostering a fourth industrial revolution.
Advances in Machine Learning are profoundly transforming technology. In fact, and basing on recent discoveries in Mathematics and Data Science, complex algorithms imbedded in modern systems allow to accomplish more complex tasks (decision-support systems, human-machine interaction, intelligent agents, etc). Today, AI-based applications requiring a deep knowledge of Mathematics and Data Science can be found in many fields, ranging from Insurance and Finance, to Health and Medicine, to Environmental studies, to Exploration of Space, to Digital Humanities, etc…
The programme provides students with state-of-the-art knowledge and competencies in Mathematics, Data Science and Machine Learning. It offers a carefully devised blend of traditional lecture/tutorial/lab tuition and more innovative, project-based learning. This produces graduates who are able to successfully apply their skills in the various fields of AI.
Examples of career-paths that could be undertaken by graduates of the programme are: Data Analyst/Scientist/Engineer, Machine Learning Engineer, Statistician, Quantitative Analyst (in Insurance and Finance), Developer in Machine Learning/AI, Computational Linguist/NLP Engineer, Business Intelligence Analyst, Business Analyst, Systems Analyst, Marketing/Operations Analyst, etc…
Moreover, graduates of this programme are especially well-equipped to start an Academic/Research career by pursuing a Master’s and a PhD in fields related to Mathematics, Data Science and Machine Learning in renowned research institution.
Program overview
Main Subject
Mathematics
Degree
Other
Study Level
Undergraduate
Study Mode
On Campus
The Bachelor in Mathematics, Specialization in Data Science for Artificial Intelligence, is a three-year intensive, high-level programme taught in English. The programme aims to address the needs of the fourth industrial revolution brought about by Artificial Intelligence (AI).
Artificial intelligence is completely remodelling today’s societies to the point that many argue that it is fostering a fourth industrial revolution.
Advances in Machine Learning are profoundly transforming technology. In fact, and basing on recent discoveries in Mathematics and Data Science, complex algorithms imbedded in modern systems allow to accomplish more complex tasks (decision-support systems, human-machine interaction, intelligent agents, etc). Today, AI-based applications requiring a deep knowledge of Mathematics and Data Science can be found in many fields, ranging from Insurance and Finance, to Health and Medicine, to Environmental studies, to Exploration of Space, to Digital Humanities, etc…
The programme provides students with state-of-the-art knowledge and competencies in Mathematics, Data Science and Machine Learning. It offers a carefully devised blend of traditional lecture/tutorial/lab tuition and more innovative, project-based learning. This produces graduates who are able to successfully apply their skills in the various fields of AI.
Examples of career-paths that could be undertaken by graduates of the programme are: Data Analyst/Scientist/Engineer, Machine Learning Engineer, Statistician, Quantitative Analyst (in Insurance and Finance), Developer in Machine Learning/AI, Computational Linguist/NLP Engineer, Business Intelligence Analyst, Business Analyst, Systems Analyst, Marketing/Operations Analyst, etc…
Moreover, graduates of this programme are especially well-equipped to start an Academic/Research career by pursuing a Master’s and a PhD in fields related to Mathematics, Data Science and Machine Learning in renowned research institution.
Admission Requirements
Admission requirements
Admission to the programme is very selective; the following are minimal criteria to apply for admission into the Foundation Year:
All candidates will be required to sit for a placement exam administered by the University before being considered for a conditional admission in the Science programmes.
All admissions in the Science programmes are conditional on the successful completion of the Foundation Year in Sciences.
Only applicants holding a French Baccalaureate are eligible, provided they meet specific requirements, to be considered for direct entry in the programmes. Such applicants might be required to sit a specifically designed placement test.
Admission is subject to capacity constraints. Applicant might, therefore, be placed on waiting list.
Tuition fees
Domestic Students
International Students
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:
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Scholarship Applications: Frequently Asked Questions
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