Bachelor in Data Science and Artificial Intelligence

1- Analyze a complex computing problem and to apply principles of computing and data science and artificial intelligence and other relevant disciplines to identify solutions.

2- Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.

3- Communicate effectively in a variety of professional contexts.

4- Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.

5- Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.

6- Understand and apply theories, and tools thorough the data science lifecycle and employ the resulting knowledge to satisfy stockholder’s need.

Jordanian General Secondary Certificate with min 60% average in the following branches: Scientific, Scientific – Medical Field, Scientific – Engineering Field, Scientific – Pure Sciences Field, Comprehensive Health Education, Informatics Administration, Industrial, Household Economy, Agricultural.

University Requirement – 24 Credit Hours

Compulsory Courses – 15 Credit Hours

A0110151 – National Education – 3 Credit Hours
A0110144 – Arabic Communication Skills – 3 Credit Hours
A0110155 – Military Sciences – 3 Credit Hours
A0110143 – English Communication Skills – 3 Credit Hours
A0110154 – Life Skills – 1 Credit Hour
A0110153 – Leadership and Societal Responsibility – 1 Credit Hour
A0110152 – Entrepreneurship and Innovation – 1 Credit Hour

Elective Courses – 6 Credit Hours

A0110161 – Islamic Culture – 3 Credit Hours
A0110163 – Archeology and Tourism in Jordan – 3 Credit Hours
A0110164 – Development and Environment – 3 Credit Hours
A0110165 – Contemporary Issues – 3 Credit Hours
A0411601 – Legal Education and Human Rights – 3 Credit Hours
A0110162 – History of Jordan and Palestine – 3 Credit Hours
A0110166 – Media and Public Relations – 3 Credit Hours

Elective Courses – 3 Credit Hours

A0871103 – Principles of Renewable Energy – 3 Credit Hours
A0110168 – Digital Literacy and Artificial Intelligence – 3 Credit Hours
A1321100 – Sport and Health – 3 Credit Hours
A0110167 – Critical Thinking Skills – 3 Credit Hours
A0110281 – Society Health – 3 Credit Hours

Faculty Requirement – 19 Credit Hours

Compulsory Courses – 19 Credit Hours

A0341311 – Networks and Cybersecurity Essentials – 3 Credit Hours
A0331202 – Introduction to Programming – 3 Credit Hours
A0334600 – Ethical and Professional Issues in Computing – 1 Credit Hour
A0312201 – Object Oriented Programming – 3 Credit Hours
A0311101 – Discrete Mathematics – 3 Credit Hours
A0371201 – Introduction to Information Technology – 3 Credit Hours
A0110101 – Mathematics (1) – 3 Credit Hours

Major Requirement – 60 Credit Hours

Compulsory Courses – 51 Credit Hours

A0374504 – Computer Vision – 3 Credit Hours
A0374605 – Practical Training – 9 Credit Hours
A0373505 – Deep Learning – 3 Credit Hours
A0374501 – Natural Language Processing – 3 Credit Hours
A0372401 – Introduction To Data Science – 3 Credit Hours
A0374607 – Graduation Project (2) – 3 Credit Hours
A0372201 – Programming for Data Science – 3 Credit Hours
A0373501 – Artificial Intelligence – 3 Credit Hours
A0373405 – Data Mining and Machine Learning – 3 Credit Hours
A0374401 – Big Data – 3 Credit Hours
A0374503 – Business Intelligence – 3 Credit Hours
A0373504 – Robotics Programming – 3 Credit Hours
A0373401 – Data Engineering – 3 Credit Hours
A0374606 – Graduation Project (1) – 3 Credit Hours
A0373101 – Computing Systems for Data Science and Artificial Intelligences – 3 Credit Hours

Elective Courses – 9 Credit Hours

A0374402 – Data Visualization – 3 Credit Hours
A0372402 – Statistics and Probability for Data Science – 3 Credit Hours
A0373406 – Information Security – 3 Credit Hours
A0374406 – Selected Topics in Machine Learning – 3 Credit Hours
A0374505 – Selected Topics in Artificial Intelligence – 3 Credit Hours
A0343412 – Cloud Computing & Security – 3 Credit Hours
A0373503 – Information Retrieval – 3 Credit Hours
A0374502 – Pattern Recognition – 3 Credit Hours
A0374405 – Optimization Algorithms – 3 Credit Hours
A0342314 – Protection using Linux – 3 Credit Hours
A0373407 – Knowledge Representation and Inference – 3 Credit Hours
A0374404 – Selected Topics in Data Science – 3 Credit Hours

Free Elective – 29 Credit Hours

Compulsory Courses – 29 Credit Hours

A0313101 – Algorithms Analysis and Design – 3 Credit Hours
A0312101 – Data Structures – 3 Credit Hours
A0312401 – Fundamentals of Databases – 3 Credit Hours
A0110201 – Linear Algebra – 3 Credit Hours
A0334605 – Communication and Technical Writing Skills – 2 Credit Hours
A0311301 – Digital Logic Design – 3 Credit Hours
A0332501 – Introduction to Software Engineering – 3 Credit Hours
A0333203 – Internet Applications Development (2) – 3 Credit Hours
A0110103 – Statistics and Probability – 3 Credit Hours
A0332202 – Internet Applications Development (1) – 3 Credit Hours

Complementary Requirement – 9 Credit Hours

Compulsory Courses – 9 Credit Hours

A0110191 – Computer Skills (Remedial) – 3 Credit Hours
A0110141 – English Language (Remedial) – 3 Credit Hours
A0110142 – Arabic Language (Remedial) – 3 Credit Hours