OurPrograms

  برامج الكلية

Our undergraduate program (BSc in Computer Science) includes various fields such as Algorithms, Computer Architecture, Operating Systems, Computer Networks, Theories of Programming Languages, Artificial Intelligence, and Database Management Systems and others. These fields provide the student with the essential principles of the computer system and how it operates through theoretic and scientific lectures. From an applied point of view, the students apply these principles through various courses’ projects; this is done with respect to the job market’s requirements through their years of study in a certain field in order to work immediately after their graduation.

The Business Information Technology (BIT) Program was accredited in 2003-2004 at King Abdullah II School for Information Technology (KASIT) in Jordan University. Since its establishment, the BIT department is aimed at the preparation of highly qualified students to be effective users and managers of information technology and systems in the current environment of the technology- enabled business firms. The program's outcomes are:

P1
Graduates have met the rigorous competitive admission procedure and international/local market requirements by showing high qualifications, advanced training, independent learners, and capability of teamwork in BIT disciplines.

P2
Graduates have obtained research skills to pursue their professional careers while fulfilling the need for professional instructors, lecturers, researchers and developers in BIT market.

P3
Graduates have established relationships with different local/international institutes by participating different professional activities, i.e. lectures, seminars, conferences, among other possible forms of collaborations.

P4
Graduates have become familiar with different work-related concepts, e.g. different job titles related to courses, core courses related to a specific job, major skills required to apply for a certain position, among others.

P5
Graduates have demonstrated the ability to understand and apply ethical and security considerations to problems in information technology environment.

Our graduate program (MSc in Computer information Systems) offers the MS degree in both thesis and comprehensive exam tracks. It provides the student with breadth and depth knowledge in the various IS fields and builds the required skills for MS graduate upon the IEEE/ACM standard for the degree. Our study plan builds the common and specific skills recommended including: the core knowledge in IS, data management and warehousing, decision-making, IT management, project management, system analysis, and other research skills including the scientific approach of conducting scientific research. We offer many advanced classes including : databases, software engineering, artificial intelligence, software design, software verification and validation, machine learning, natural language processing, multimedia, information security, image processing, geographical IS, and many other advanced courses that usually are accompanied with research methodology learning and research paper writing. To obtain the MSc degree, the student should complete 33 credit hours, nine of which are for the thesis credits (thesis track).

Good standing MSc degree holders are highly qualified to start the PhD in the various computer sciences fields. They are also highly qualified for many industry positions including, but not limited to, system administration, database  management, system analysis, project management, software development, software designing, applicable problem solving including machine intelligence approaches.

The pioneer MSc program in Web Intelligence intends to provide a technically oriented and scientific knowledge for those who are motivated to increase their expertise in dealing with overwhelming data available on the web in an efficient, secure, and intelligent way. It offers students a solid background in core areas and exposure to cutting-edge research in web Intelligence ranging from web semantic, web security, cloud computing , business and big data analytics to web economics. The students also have the option to extend their expertise in other related areas such as social network analysis, web data visualization, digital forensic , data warehousing and mining, and mobile applications. This high quality program assists in educating and preparing students for professional careers and for higher ( postgraduate) studies in web intelligence.

The data science program is one of the programs that focuses on benefiting from the huge and large amount of data by employing advanced tools and algorithms, and helping to make decisions based on the value and knowledge that is extracted from the data after processing it, as data is considered the “new oil in the 21st century” to denote the importance of data in the current era. Data Science combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.

As in the case of crude oil, we can only use and benefit from it if it is refined. Likewise, the data we cannot make use of unless we dig into it, analyze it and extract knowledge from it.

Data science is one of the most attractive job fields of the 21st century. Data science is concerned with simple datasets to complex data that associated with thousands of variables. This discipline employs and uses intelligent algorithms based on machine learning to discover useful patterns in data sets. Data science is inseparable from a range of other topics such as: database systems, data engineering, data visualization, business intelligence and big data analytics.

One of the most famous jobs for this specialization is a data scientist who is the person concerned with the computational and statistical data analysis and building machine learning models to solve different problems in different domains.

A graduate of the data science program is expected to have the ability to collect and process data in the required format, visualize data, build machine learning and deep learning algorithms, and extract patterns and hidden information in data, in addition to knowledge and skill in applying various programming languages such as Python, knowledge of statistics and statistical tests, and ability of communication and collaboration between IT and business experts.

Program Desciption is under review