Computing
The Master Program in Computing aims to deliver an up to date knowledge in the area of computing and to graduate qualified graduates to enhance the Palestinian sector in the IT fields. In addition, it aims to enhance the research in the field of Computing and to make it possible for the graduates to pursue their PhD studies in top universities around the world.
- To graduate students with master's degrees in computing
- To contribute the local market with skilled and professional graduates in the IT fields
- To contribute to the scientific research in the IT fields.
- Knowledge of basics in mathematics, science and engineering principles.
- Ability to understand the impact of computing solutions in a global and societal context.
- Knowledge of contemporary issues in computing.
- Ability to identify, formulate and solve computing problems.
- Ability to analyze, compare and distinguish between different algorithms/techniques/methods; and select the one suitable for each problem.
- Ability to evaluate computing system implementations and recommend changes and improvements.
- Applying the techniques, skills and modern computing tools necessary for engineering/computing practice.
- Design a system, component, or process to meet desired needs.
- Design and conduct research methods (e.g. surveys, case studies, experiments); and analyze and interpret data.
- Ability to communicate effectively.
- Recognition of the need for and an ability to engage in life-long learning.
- Ability to function on multidisciplinary teams.
- Understanding of professional and ethical responsibility.
- Palestinian Public sector that needs qualified employees in any of the IT fields.
- Palestinian private sector that needs qualified employees in any of the IT fields.
- International opportunities in the IT fields.
- PhD opportunities.
Program Requirements
The program has two concentrations: “Computer and Engineering” concentration and “Mathematics and Natural Sciences” concentration. In both concentrations, students are required to complete no less than 36 credit hours distributed as follows:
- 12 credit hours of Compulsory courses
- 18 credit hours of elective courses
- 6 credit hours of either thesis track or seminar track in concentration area
1. Compulsory Courses: (12 Credit Hours)
Computer and Engineering Concentration Compulsory Courses: Students in this concentration who did not study “Data structures” and “Advanced Programming” courses are required to register for these courses in their first semester (these courses will not be counted for those who studied them).
Students are required to finish 12 credit hours of Compulsory courses as follows:
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Course No. |
Course Title |
Prerequisite(s) |
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Computing 1: Design and Analysis of Algorithms |
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Computing 2: Principles of Computer Systems Engineering |
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Research Methodology and Tools |
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Probability, Queuing Theory and Statistics |
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Advanced Computer Networks |
MCOM6301 or equivalent |
*MCOM6301(Computing 2) will not be counted for computer systems engineering students and those who have sufficient knowledge in that course. In this case, MCOM6308 is considered the Compulsory course replacement.
“Mathematics and Natural Sciences” Concentration Compulsory Courses: Students with a bachelor’s degree in computer science, biology or chemistry, who have not studied linear algebra and differential equations, are required to complete MCOM6305 within their first semester in the program, provided that it will not be counted for students who have taken the course previously.
Students are required to finish 12 credit hours of Compulsory courses as follows:
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Course No. |
Course Title |
Prerequisite(s) |
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Computing I: Design and Analysis of Algorithms |
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Mathematical Modeling and Simulation |
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Research Methodology and Tools |
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Probability, Queuing Theory and Statistics |
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Note: All students are required to complete MCOM6304 within the first 15 hours of their registration in the program.
2. Elective Courses (18 Credit Hours): Students are required to take 18 credit hours from the following elective courses
“Computer and Engineering” Concentration Elective Courses:
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Course No. |
Course Title |
Prerequisite(s) |
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Advanced Computer Networks |
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Computational Fluid Mechanics |
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Real Time Systems |
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Information Theory and Coding |
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Digital Signal Processing (DSP) |
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Cryptography and Network Security |
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Software Engineering |
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Advanced Artificial Intelligence |
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Topic in Knowledge Management |
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Advanced Graphics and Visualization |
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Special Topics in Advanced Computer Science |
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“Mathematics and Natural Sciences” Concentration Elective Courses:
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Course No. |
Course Title |
Prerequisite(s) |
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Numerical Optimization |
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Introduction to Discrete Dynamical Systems and Chaos Theory |
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Statistical Design and Analysis Methods |
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Quantum Mechanics and Spectroscopy |
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Statistical Mechanics |
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Atomistic and Molecular Simulations |
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Computer Aided Molecular Design (CAMD) |
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Advanced Electronic Structure Theory |
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Special Topics in Computational Physical Sciences |
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3. Track A or Track B: 6 Credit Hours: Thesis or Two Seminars in Concentration Area
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Track |
Track Title |
Courses |
Prerequisite(s) |
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Track A |
Thesis |
The completion of all Compulsory courses |
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Track B |
Seminar |
- Applicants must hold a bachelor’s degree in one of the science or engineering fields from a university recognized by Birzeit University, with a minimum overall assessment of “Good”.
- Applicants are required to have good knowledge and skills in computer programs and advanced programming languages, in addition to a background in applied mathematics.
- Applicants are interviewed to determine their readiness and the strength of their academic backgrounds.
