Data Science & Artificial Intelligence Department

The importance of information technology cannot be stressed enough as it continually influences our lives on daily basis and our department is dedicated to providing the best educators in the field and the necessary knowledge our students need to meet the job market.

To achieve this, we have a group of qualified and distinguished Professors who are committed to the field. We also provide fully equipped modern computer laboratories and halls. Furthermore, we enrich the university library with the latest books and publications.

The faculty also makes all efforts to develop curricula and study plans that keep pace with scientific developments in order to achieve the goal of Amman Arab University in producing the  leaders of tomorrow.

Based on these overall objectives, our faculty surveyed the market needs and offered specializations that meet these needs. The Majors we offer include mobile computing and software engineering as well as information technology.

Dr. MOHAMMAD ALOUN

Acting Head of the Department 

The Bachelor's Program in Data Science and Artificial Intelligence aims to prepare qualified competencies in the field of data science and artificial intelligence that meet the needs of the local and regional labor market, capable of completing distinguished scientific and practical projects in a way that contributes to developing the technical infrastructure, strengthening the knowledge economy, and developing and improving performance in local community institutions.

It offers an intensive and flexible educational program in the field of data science, artificial intelligence and its applications to prepare qualified and influential professional cadres in this field. The program also seeks to contribute to providing theoretical and applied knowledge through teaching, training, and conducting scientific research, and to play an effective and influential role in promoting the use of data science and artificial intelligence in society.

The launch of this program comes in response to the requirements of the labor market and the need of academic institutions and local and regional companies for a qualified and trained workforce in the field of data science, artificial intelligence, computers and information technology, with the aim of preparing specialized leaders in this field who are able to contribute to business development in various institutions and facilities and to interact and adapt in the field.

Interconnected and intertwined fields between computer engineering, computer science, and information and communications technology. This qualification combines two main areas of computer science, artificial intelligence and data science, in a complementary way. Artificial intelligence and data science are two complementary fields of computing and multiple systems. Artificial intelligence focuses on applying artificial intelligence algorithms to data science and implementing statistical techniques using intelligent algorithms. Jobs in this field are among the most attractive jobs at the present time, and there is an urgent need to fill the gap necessary for the success of the work of institutions in all economic, health, educational, social, and other sectors.

This need became evident due to the urgent need to exploit big data of all kinds. At the local level, labor market indicators indicate that there is a need for graduates specialized in the field of data science and artificial intelligence who have the ability to analyze big data using artificial intelligence algorithms in various state institutions.

Vision

Excellence in teaching, learning, scientific research, and community service in computer science and information systems fields locally and regionally.

Mission

Preparing qualified students with competencies in computer science and information systems fields, having the applied and research knowledge and the skills to meet the requirements of the labor market and local community institutions according to quality criteria locally and internationally.

Data Science and Artificial Intelligence  Major Bachelor's Program

Program Mission:

Preparing qualified student in the field of Data Science and Artificial Intelligence that meet the needs of the labor market locally and regionally, capable of carrying out distinguished scientific and practical projects that contribute to the development of technical infrastructure and the promotion of the knowledge economy and the development and improvement of performance in local community institutions.

Educational Program Objectives:

1. Possess the necessary theoretical and applied skills and knowledge in the field of Data Science and Artificial Intelligence.
2. Provides professional competencies and practicing their profession with confidence and ability to compete locally and regionally.
3. Continue learning and professional development amid technical changes.
4. Work effectively within teams, bearing ethical and professional responsibilities, and know the needs of the community.

Educational Program Outcomes:
Graduates of the program will have the ability to:

1. Analyze a complex computing problem and to apply principles of computing 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. Apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.

Program Mission

Preparing qualified student in the field of Data Science and Artificial Intelligence that meet the needs of the labor market locally and regionally, capable of carrying out distinguished scientific and practical projects that contribute to the development of technical infrastructure and the promotion of the knowledge economy and the development and improvement of performance in local community institutions.

Educational Program Outcomes:
Graduates of the program will have the ability to:

1. Analyze a complex computing problem and to apply principles of computing 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. Apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.