BSc (Hons) in Computer Science with Artificial Intelligence

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This Computer Science with Artificial Intelligence programme builds on a common first two years with Computer Science and follows with a third year dedicated to Artificial Intelligence (AI).

The programme has several key themes centered on computational thinking, which instills the ability to develop and understand algorithmic solutions to problems. This is backed up by practical skills in programming that are developed in a variety of relevant languages chosen to complement each other and to demonstrate the spectrum of techniques and tools available. Students will learn how to apply these skills in Artificial Intelligence and learn cutting edge techniques such as neural networks and deep learning. Students will also learn about the underlying architecture that supports computation, both the traditional computer and the new cloud-based computation infrastructure which has become increasingly prevalent. The programme includes a key theme of data science where students work with (potentially very large) datasets, learning appropriate data storage techniques and suitable software and statistical methods for data processing and analysis. This will include modern algorithms for machine learning which are revolutionizing this field and driving recent advances in Artificial Intelligence.

Why enrol on this programme?

Students will learn how to use skills acquired in the programme in developing an entire software product using Artificial Intelligence, including modern tools used in industry such as version control and automated unit testing. Methodologies and design techniques which support the development of such products and related ethical, social and legal issues will also be taught. This programme will equip students with important degree level transferable skills which encompass both group and individual work, time management, written and verbal presentations and critical reflection on their work.

The programme is designed to produce graduates with the technical and transferable skills needed in a wide range of careers and industries; whether these are established computer science domains such as software development and database maintenance, or emerging ones influenced by the growing use of Artificial Intelligence.

Year	Title
First Year	Programming and Algorithms
	Software Design
	Mathematics for Computer Science
	Object Oriented Programming
	Computer Architecture and Networks
	Database Systems
	CS ALL Project 1
	CS ALL Project 2
	Add+Vantage
Second Year	Introduction to Artificial Intelligence
	Software Engineering
	Theory Of Computation
	Advanced Algorithms
	Operating Systems and Security
	Data Science
	Big Data Programming Project
	Add+Vantage
Third Year	Individual Project Preparation
	Individual Project
	Security
	Machine Learning and Related Applications
	Neural Networks
	Intelligent Agents
	Add+Vantage

On successful completion of the BSc programme, a student will develop the following skills:

B1. COMPUTATIONAL THINKING:

develop and understand algorithms to solve problems; measure and optimise algorithm complexity; appreciate the limits of what may be done algorithmically in a reasonable time

B2.PROGRAMMING:

create working solutions to a variety of computational and real-world problems using an appropriate programming language (or languages) for the task.

B3.ARCHITECTURE & SECURITY:

understand the underlying architecture that supports the modern computer, including both traditional operating systems and modern internet-based infrastructure, with a focus on maintaining their security.

B4.DATA SCIENCE:

work with (potentially large) datasets; using appropriate storage technology; applying statistical analysis to draw meaningful conclusions; and using modern machine learning tools to discover hidden patterns.

B5.SOFTWARE DEVELOPMENT:

develop a product from the initial stage of requirement/analysis all the way through development to its final stages of testing/evaluation.

B6.PROFESSIONAL PRACTICE:

understand professional practices of the modern IT industry which include those technical (e.g. version control / automated testing) but also social, ethical & legal responsibilities.

B7.TRANSFERABLE SKILLS:

apply a wide variety of degree level transferable skills including time management, team working, written and verbal presentation to both experts and non-experts, and critical reflection on own and others work.

B8.ARTIFICIAL INTELLIGENCE:

understand and apply a range of advanced artificial intelligence techniques to real world problems.

School Curriculum System	Minimum Admission Requirements	Proficiency Requirements
UAE Curriculum (Thanaweyya 'Ammah)	Advance & Elite Tracks: Minimum overall average of 75% and 75% average in Physics & Math. General Track: Minimum overall average of 90% and 90% average in Mathematics and Physics.	All applicants must submit one of the following English Language Proficiency test results: A minimum EmSAT-Achieve English result of 1100, Or TOEFL iBT score of 61, or TOEFL ITP score of 500, or IELTS Academic score of 5.0, or Any equivalent English Language Proficiency test.
British System - GCSE/IGCSE + AS/A Levels	Students are required to successfully complete Year 13. Five subjects* at GCSE/IGCSE with a minimum score “C” and two subjects (Math and Physics) at AS level with a minimum score “C”. Or, Five subjects* at GCSE/IGCSE with a minimum score “C “ and one AS level in Math or Physics “C” and above and one A level in Math or Physics “D” and above. * Arabic and Islamic Studies are not included.
International Baccalaureate	IB Diploma: Must pass total six subjects (excluding Islamic Education), three subjects in the higher level (HL) with a minimum score of 24 points including min 4 points in HL Math and Physics. IB certificate: will be assessed based on the high school credentials.
American High School Diploma inside the UAE	Minimum of 75% average in the final grade (Grade 12). Applicants are also required to obtain: Minimum EmSAT Achieve-Math result of 900 and Physics 800, or Minimum SAT-Math score of 450 and AP Physics 1 score of 3.0, or Minimum 75% in EAU Math and Physics entrance exams.
Indian Boards (Std XII)	Minimum average of 55% in the Senior Secondary School Certificate (12th Standard) including Math and Physics.
Pakistani Board HSSC Part I+II (Gr 12)	Minimum average of 55% in the Senior Secondary School Certificate (12th Standard) including Math and Physics.
Iranian Curriculum	Minimum score of 15 points in the pre-university certificate, or minimum total average of 75% including Math and Physics
Russian Curriculum	Minimum score of 4.0 in the final year (grade 11), including Math and Physics.
French Baccalaureate	Minimum score of 11 in the Scientific track, including Math and Physics.
American High School Diploma outside the UAE	Minimum 75% average in the final grade (Grade 12). Applicants are also required to obtain: Minimum SAT-Math score of 450 and AP Physics1 score of 3.0, or Minimum 75% in EAU Math and Physics entrance exams
Other School Systems outside the UAE	Will be assessed based on the high school credentials.

Notes and remarks:

Applicants who do not meet the minimum requirements of the programme’s relevant subject(s), one of the following options will be considered:

EmSAT score(s), or
SAT score(s), or
EAU Entrance Exam in the relevant subject(s), or
Completing non-credit remedial course(s) in these subjects.

For professional advice on entry requirements, please contact EAU Admissions on +971 46050100 or e-mail:eau.admissions@emirates.com

Application Fee*	Registration Fee*	Tuition Fees (AED)
N/A	2,625	AED 80,703 per year

Data Science & Artificial Intelligence Programmes in BSc (Hons) in Computer Science with Artificial Intelligence

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