Artificial Intelligence (AI) can bring major social and economic benefits by automating tasks currently done by humans in sectors such as health, finance, and manufacturing. Employers need skilled AI professionals to work in this exciting and fast-developing field.
Develop the skills to design and build the next generation of Artificial Intelligence (AI) systems and services with City University Qatar. This programme provides cutting-edge AI knowledge, preparing students to drive innovation across industries such as healthcare, financial technology, advanced manufacturing, and social media. As AI continues to revolutionise industries, graduates will be at the forefront of technological advancement.
The Bachelor of Engineering in Artificial Intelligence at City University Qatar mirrors the curriculum, learning outcomes, and academic standards of the Ulster University. Graduates may be eligible to apply for accreditation, membership, or further professional qualifications with relevant regulatory bodies, subject to the specific requirements of their chosen jurisdiction and career pathway.
This programme develops essential employability skills by offering a systematic study of AI principles, theoretical computer science, mathematics, programming, and software engineering. Students gain hands-on experience in AI and machine learning programming, problem-solving, and team-based projects, ensuring they are prepared to apply AI techniques in real-world industrial contexts and drive innovation in the field.
I Will Learn
– The theory and principles of AI, which include computer science, mathematics, programming, and software engineering.
– Programming languages to produce AI and machine learning algorithms.
– How to analyse problems, reason a solution, and represent knowledge using suitable AI methods and techniques.
Hands-on Experience
– You will benefit from Ulster’s 25+ years of expertise in AI research, gaining hands-on experience and practical skills shaped by cutting-edge innovation.
– Practical projects and lab work are key elements in the delivery of the programme, with a focus on real-world case studies.
Why Ulster Programme?
Ulster has been a leader in the field of AI research for over 25 years. This expertise is brought through to our teaching.
Entry Requirements for direct entry into Year One are subject to completion of 13 years of education and are assessed on a case-by-case basis, varying depending on the programme applied for. General entry requirements include:
– International Baccalaureate (IB): An overall profile of a minimum of 24 points (with at least 12 points at higher level), and grade 4 or above in HL or SL Mathematics
– British System: 3 A-levels; the required grades and subjects depend on the programme applied for. A minimum of 5 GCSEs at grade C or above is required, including GCSE Mathematics
– To qualify for our bachelor’s programme, applicants must meet all the following criteria. Some may have specific math and physics grade prerequisites
– Other international qualifications: These will be considered on merit for equivalency with the above requirements
AND
– English Language Requirements – an IELTS overall score of at least 6.0, with no band lower than 5.5, or an equivalent qualification
OR
– Successful completion of Ulster’s International Foundation Programme
This programme can be studied over 4 years (with an International Foundation Diploma), with an optional additional work placement year. In the event of this, students will be required to take a Professional Practice unit.
Students may be able to join Year 2 with a relevant Foundation or Diploma.
International Foundation Programme
SEMESTER 1
•Digital Media Tools
•Foundation in Mathematics
•English with Study Skills OR Extended Critical Thinking for Undergraduate Study
SEMESTER 2
•Exploring Cultural Identity
•Introduction to Computing Engineering, and Built Environment
•English for Academic Transition OR Project-Based Learning
Year 1
SEMESTER 1
•Mathematics for Engineering
•Artificial Intelligence
•Software Development
SEMESTER 2
•Computer Hardware and Operating Systems
•Software Development
•Database Systems
Year 2
SEMESTER 1
•Mathematics for Engineering II
•UX
•Object-Oriented Programming and Modelling
•Professional Development
SEMESTER 2
•Algorithms and Data Structures
•Artificial Intelligence II
•Computer Networks and Security
Year 3
SEMESTER 1
•Final Year Project II
•Cyber Security
•Computer Vision
SEMESTER 2
•Final Year Project II
•Intelligent Robotics
•Computational Intelligence Technology
