Bachelor of Science in Artificial Intelligence
Program Overview
Bachelor of Science in Artificial Intelligence
Program Overview
The Bachelor of Science in Artificial Intelligence (BSAI) program aims to provide quality education in the field of artificial intelligence based on internationally recognized standards for undergraduate programs. The program seeks to produce AI professionals who can efficiently deploy AI technologies, implement solutions according to market and society needs, particularly in the UAE and Gulf region, and prepare individuals for lifelong learning and research.
Program Education Objectives (Goals)
The program educational objectives (Goals) of BSAI are as follows:
- PEO#1: Apply relevant knowledge, skills, and tools to develop and deliver AI solutions in professional and multidisciplinary environments; pursue further education or research or engage in entrepreneurial activities.
- PEO#2: Function effectively as a team member or leader, actively addressing AI-related ethical and legal issues, and demonstrating awareness of the societal impact of AI.
- PEO#3: Adapt and innovate AI technologies and engaging in lifelong learning and professional development.
Program Coordinator
Prof. Salam Fraihat (Profile)
Admission Requirements
- High School Requirements (UAE Curriculum)
- 60% Elite Track
- 70% Advanced Track
- 75% General Track
- Subject Proficiency Requirement:
- Full Admission: A minimum score of 75% in Mathematics.
- Conditional Admission: Applicants scoring less than 75% in Mathematics must pass a remedial course in the subject.
- English Requirements
- Full Admission: A minimum score of 80% in the English subject, or its equivalent in other curriculums*.
- Conditional Admission: Applicants scoring between 75% and 79% in the English subject will be conditionally admitted, provided they meet one of the following requirements:
- Pass a remedial English course during the first semester, or
- Submit an English proficiency test score before the start of the first semester:
- TOEFL: 500 (61 iBT or 173 CBT); or
- IELTS Academic: 5; or
- IESOL: B1; or
- Equivalent scores in other MOE-approved English proficiency tests (subject to evaluation).
Graduation Requirements
Students will be eligible for the degree of BSAI after completing the following:
- 123 credit hours, which generally take eight semesters (not counting summer semesters).
- 16 weeks of Internship (at least 30 contact hours per week) equivalent to 3 credit hours.
- The minimum cumulative grade point average for graduation is 2.0.
Career Opportunities
Graduates of the BSAI program will gain deep knowledge of AI technologies and methodologies, positioning them as significant contributors to the advancement of global industries. They will be equipped with the essential knowledge and skills to take on a variety of roles at both managerial and technical levels, such as AI engineer, machine learning specialist, data scientist, robotics developer, or intelligent systems architect. Graduates of the BSAI program may also choose to pursue postgraduate study and research.
Curriculum Structure and Credit Hours
The BSAI requires the completion of 120 credit hours of coursework. In addition, after completing 90 credit hours, the student must complete a 16-week internship program (at least 30 contact hours per week). This internship experience is equivalent to three credit hours, making the total completion requirement 123 credit hours.
Program Learning Outcomes
On successful completion of this Program, the graduate will be able to:
- PLO#1: Analyze a complex computing problem and apply principles of computing, artificial intelligence, and other relevant disciplines to identify the appropriate solution.
- PLO#2: Design, implement, and evaluate a computing-based solution to fulfill specified computing requirements within the Artificial Intelligence discipline.
- PLO#3: Communicate effectively in diverse professional settings, including technical reporting, client interactions, and interdisciplinary collaborations.
- PLO#4: Recognize professional responsibilities and make informed judgments based on legal and ethical principles in the fields of computing and Artificial Intelligence.
- PLO#5: Perform effectively as a member or leader within AI and multidisciplinary teams.
- PLO#6: Integrate knowledge from other relevant disciplines with Artificial Intelligence theories, techniques, and tools to develop computing-based solutions that meet stakeholders' requirements.
- PLO#7: Apply principles of innovation and entrepreneurship, integrate sustainability practices, and demonstrate continual learning and adaptability in the field of computing and Artificial Intelligence.
Program Structure and Credit Hours
Proposed Curriculum Structure and Credit Hours
Study Plan
Artificial Intelligence Four-Year Interactive Study Plan
Courses Descriptions
Mathematics and Statistics Courses
- INT101 - Calculus for Information Technology
- INT202 - Discrete Mathematics
- DAT201 - Linear Algebra
Program Core Courses & Internship
- INT100 - Introductory Programming
- INT201 - Object-Oriented Programming
- DAT205 - Programming for Data Analytics I
- DAT204 - Data Engineering
- INT209 - Data Structures
- DAT302 - Programming for Data Analytics II
- DAT405 - Machine Learning
- BAI211 - Artificial Intelligence Fundamentals
- INT302 - Database Management Systems
- INT301 - Operating Systems
- BAI301 - Deep and Reinforcement Learning
- BAI302 - Evolutionary Computation
- BAI490 - Artificial Intelligence Summer Internship
- DAT323 - Big Data Technologies
- INT205 - Fundamentals of Data Communications and Networking
- BAI311 - Natural Language Processing
- INT303 - Fundamentals of Information Security
- BAI312 - Machine Learning Operations
- BAI313 - Computer Vision and Pattern Recognition
- INT309 - Cloud Computing
- BAI411 - Internet of Things
- INT306 - Computer Ethics and Professional Practices
- BAI402 - AI for Robotics
- BAI498 - Capstone Project I
- BAI499 - Capstone Project II
Program Elective Courses
- BAI430 - Semantic Web
- BAI431 - Social Networks Analysis
- INS402 - Business Intelligence and Data Warehousing
- BAI432 - Recommender Systems
- BAI435 - AI Applications in Finance, Law, and Industry
- BAI436 - Advanced Drone Technology and Autonomous Systems
- BAI437 - Special Topics in Artificial Intelligence
- BAI438 - Human-Computer Interaction
- BAI339 - Extended Reality
Ajman University (AU), established in 1988, is a pioneering private institution in the Gulf Cooperation Council (GCC) region. Notably, it was the first university in the United Arab Emirates (UAE) to admit expatriate students of both genders. AU is recognized for its commitment to innovation, inclusion, and social impact.
Academic Excellence
- Programs Offered: AU provides 39 accredited programs, comprising 24 undergraduate, 13 graduate, and 2 doctoral degrees, all recognized by the UAE Ministry of Education. Colleges: The university encompasses nine colleges, including:
- College of Medicine
- College of Dentistry
- College of Pharmacy and Health Sciences
- College of Engineering and Information Technology
- College of Business Administration
- College of Law
- College of Mass Communication
- College of Humanities and Sciences
- College of Architecture, Art and Design
Accreditations & Quality Assurance
- WSCUC Accreditation: In 2024, AU became the first private and non-profit university in the UAE and the Arab region to receive accreditation from the WASC Senior College and University Commission (WSCUC), a prestigious U.S.-based accrediting body.
- QAA Accreditation: AU is among the first six higher education institutions globally to receive institutional accreditation from the UK's Quality Assurance Agency (QAA).
Student Life & Community Engagement
AU offers a vibrant campus life with a range of co-curricular activities, programs, and services designed to complement the academic experience. The university emphasizes social responsibility, encouraging students to engage in community service and outreach initiatives.
