Degree Structure
College
Computing and Informatics
Department
Computer Science
Level
Graduate Masters
Study System
Courses and Theses
Total Credit Hours
34 Cr. Hrs.
Duration
2-4 Years
Intake
Fall and Spring
Language
English
Study Mode
Full Time and Part Time
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Degree Overview
The Program mission is to prepare students to be fully abreast of the latest developments in all areas of computing. Graduates of this program are expected to competently fill key positions in their fields of interest and to lead the ongoing process of modernization and development in the United Arab Emirates and abroad.
What You Will Learn
The Program's mission is to prepare students to be fully abreast of the latest developments in all areas of computing. Graduates of this program are expected to competently fill key positions in their fields of interest and to lead the ongoing process of modernization and development in the United Arab Emirates and abroad.
In this program, you will learn how to master much of the technology that is central to our lives, be it related to web, mobile, machine learning data analytics, and software engineering in general.
You will gain knowledge on creating tools, systems, and applications for today's digital environment. You will learn about scientific research and be able to hone your analytical abilities, which will enable you to tackle novel and difficult issues brought on by the quick advancement of technology. In addition, while working on your master's thesis, projects, and in-depth classes, you will learn about a specialty of your choice.
In a world where things are changing quickly, a master's degree in applied computer science will offer you a strong foundation for a career as a professional software developer.
University Requirements
College Requirements
Degree Requirements
The Department of Computer Science offers requires the following courses:
| Requirement | Credits |
| Core Courses | 10 |
| Elective Courses | 15 |
| Thesis | 9 |
| Total | 34 |
Students have to take ten credit hours in four core courses, 15 credit hours in five elective courses and 9 credit hours for the thesis. The work involved in the thesis is research-oriented and allows students to demonstrate an ability to do research and to do innovative work with minimal supervision.
Core Courses
| Course # | Course Title | Credits | Prerequisites |
| 1501560 | Object Oriented Design | 3 | 1501366 or equiv. |
| 1501591 | Research Methodology | 3 | Grad standing |
| 1501570 | Advanced design & Analysis of Algorithm | 3 | 1501371 or equiv. |
| 1501592 | Independent Studies in CS | 1 | Grad standing |
| Total | - | 10 | - |
Elective Courses
Elective computer science courses are to be chosen from a list of courses offered by the Department. Students are strongly encouraged to choose among alternative electives in different areas of computer science to fulfill breadth and depth requirements.
Prior to selecting any courses, students are required to consult their academic advisors for approval.
| Course # | Course Title | Credits | Prerequisites |
| 1501531 | Machine Learning | 3 | Grad standing |
| 1501535 | Computer Vision & Image Processing | 3 | Grad standing |
| 1501540 | Advanced Computer Graphics | 3 | Grad standing |
| 1501630 | Topics in Artificial Intelligence | 3 | Grad standing |
| 1501635 | Computational Robotics | 3 | 1501371 or equiv. |
| 1501572 | Computational Geometry | 3 | 1501371 or equiv. |
| 1501640 | Topics in Graphics & Visualization | 3 | Grad standing |
| 1501552 | Advanced Networks | 3 | Grad standing |
| 1501650 | Parallel & Distributed Computing | 3 | Grad Standing |
| 1501550 | Advanced Operating Systems | 3 | 1501352 or equiv. |
| 1501565 | Data Mining | 3 | 1501263 or equiv. |
| 1501660 | Topics in Software Engineering | 3 | Grad Standing |
| 1501662 | Topics in Database Systems | 3 | Grad Standing |
| 1501567 | Advanced Information Security | 3 | Grad Standing |
Course Description
| 1501531 | Machine Learning | 3 |
| Prerequisite: | Grad Standing. | - |
| Learning problems; concept learning; decision tree learning; artificial neural networks; genetic algorithms; inductive and analytical learning; case-based reasoning; explanation-based learning; and knowledge-based artificial neural networks. | ||
| 1501535 | Computer Vision & Image Processing | 3 |
| Prerequisite: | Grad Standing. | - |
| Image processing basics; image segmentation and region analysis; thresholding; connected component labelling; pattern recognition; morphology; image and video; motion detection and compensation; stereo vision and depth perception; knowledge-based vision; biometrics-based authentication and identification; and special-purpose computers for vision applications. | ||
| 1501540 | Advanced Computer Graphics | 3 |
| Prerequisite: | Grad Standing. | - |
| Principles and properties of lighting models such as Phong shading, ray tracing and radiosity; a selection of visualization and modeling techniques; 2D and 3D animation techniques; and color and human perception. | ||
| 1501550 | Advanced Operating Systems | 3 |
| Prerequisite: | 1501352 or equivalent. | - |
| Centralized and distributed operating systems; distributed system structures; synchronization in distributed systems; processes and processors in distributed systems; distributed shared memory; protection and security. Distributed file systems. | ||
| 1501552 | Advanced Networks | 3 |
| Prerequisite: | Grad Standing. | - |
| Resource sharing; computer traffic characterizations; layered network structure; network design and optimization; network protocols; routing, flow control and extended error control techniques; introduction to formal techniques for protocol specification, and verification and testing. | ||
| 1501560 | Object Oriented Design | 3 |
| Prerequisite: | 1501366 or equivalent. | - |
| Conventional methodologies such as Structured, JSD, SADT, etc.; OO paradigm; OO design methodologies (OMT, Booch's, Yourdon's methodologies): a comparative study; conversion from imperative to OO designs. Evaluation of OO designs and software metrics. Use of OO methodologies in various application domains such as multimedia, hypermedia, etc. Automation of the methodologies; OO design evaluation. Case Study. | ||
| 1501565 | Data Mining | 3 |
| Prerequisite: | 1501263 or equivalent. | - |
| Fundamental concepts in database management systems; Web as a medium for sharing and interoperating databases across the Internet; mathematical models and measurements of the Web; URL sampling and search engines; data integration and interchange; XML solutions; querying XML data; storing XML data; data mining, and selected topics. | ||
| 1501570 | Advanced Design & Analysis of Algorithms | 3 |
| Prerequisite: | 1501371 or equivalents or written consent of instructor. | - |
| The course concentrates on developing and analyzing algorithms for problems, which arise in various applications such as shortest path problems, depth first search and applications, general matching, planarity testing, graph colorability, etc. Depending on the year and instructor, a treatment of topics such as, randomized algorithms, average case analysis of algorithms, the class of #P and algorithms for enumeration problems may be covered. | ||
| 1501572 | Computational Geometry | 3 |
| Prerequisite: | 1501371 or equivalents. | - |
| The design and analysis of algorithms for geometric problems including convexity, intersection, triangulation, search, proximity and optimization. Lower bound arguments, NP-completeness results, probabilistic algorithms, approximation algorithms, dynamization techniques, and other issues applicable to geometric problems. Applications of geometric algorithms are emphasized. | ||
| 1501591 | Research Methodology | 3 |
| Prerequisite: | Grad Standing. | - |
| This course explores the research process in general and the resources for research in computer science. Traditional research approaches and use of emerging technology will be discussed. Attendance at Department seminars and classes is required. | ||
| 1501630 | Topics in Artificial Intelligence | 3 |
| Prerequisite: | Grad Standing. | - |
| Various topics can be covered subject to the interest of the students and the availability of faculty. Such topics include: natural language processing; machine translation; speech processing; foundations and applications of logic programming; intelligent computer-aided design; etc. | ||
| 1501635 | Computational Robotics | 3 |
| Prerequisite: | 1501371 or equivalents. | - |
| Algorithmic fundamentals of robotics: representing rigid bodies, polyhedral models, representing rotations, configuration space; elementary notions from algorithms and geometry: computational complexity, O notation, graph search techniques, convex hull, intersection detection, algorithms for distance calculations; gross motion planning: global motion planning, local collision avoidance, planning with non-holonomic constraints, and path planning in dynamic environments. | ||
| 1501640 | Topics in Graphics & Visualization | 3 |
| Prerequisite: | Grad Standing. | - |
| Topics of current research interest in advanced graphics and human interfaces, chosen from such areas as intelligent user interfaces, user modeling, user interface design, visualization, computer animation, advanced multimedia, and computer-based training using visual display, touch, gesture, and marking; speech, language, and audition; subject to the interests and availability of faculty. | ||
| 1501650 | Parallel & Distributed Computing | 3 |
| Prerequisite: | Grad Standing. | - |
| Principles and practice of parallel computing; design, implementation, and evaluation of parallel programs for shared-memory architectures, local-memory architectures, and vector processors. | ||
| 1501660 | Topics in Software Engineering | 3 |
| Prerequisite: | Grad Standing. | - |
| Study of formal methods in software engineering: formal specification; algebraic specification; model-based specification; inductive specification; automated program transformation; automated test generation; towards automated program maintenance. | ||
| 1501662 | Topics in Database Systems | 3 |
| Prerequisite: | Grad Standing. | - |
| OO data modeling; OO DBs; version management; schema evolution; query processing and optimization; transaction management; authorization and security in OO databases; client/server environment and distributed databases; and deductive databases. | ||
| 1501592 | Independent Studies in CS | 1 |
| Prerequisite: | Grad Standing. | - |
| This course helps the student explore specific areas of interest or enables him/her to develop in-depth research in a field of interest. The topic should be related to the area of interest in which the student is planning to prepare his/her thesis. The course helps the student to develop his/her critical thinking and analysis. The registration in this course and its topic should be approved in advance by the student's potential thesis supervisor and the program coordinator. | ||
| 1501567 | Advanced Information Security | 3 |
| Prerequisite: | Grad Standing. | - |
| In this course, students will study various malicious software attacking computer systems and networks. Most of these attacks are caused by the vulnerabilities in the design and implementation of computer systems. Students will learn different techniques to evaluate the security of computer systems and detect common vulnerabilities. They will also appreciate security principles and standards to write secure code. Students are required to conduct research on the course topics and write a review paper. A project is also required. | ||
| 1501695 | Thesis | 9 |
| Prerequisite: | Completion of 12 credits. | - |
| The student has to undertake and complete a research topic in Computer Science under the supervision of a faculty member. The thesis work should provide the student with in-depth perspective of a particular research problem in his chosen field of specialization of Computer Science. It is anticipated that the student be able to carry out this theoretical research and required practical work fairly independently under the direction of the supervisor. The student is required to submit a final thesis documenting the research, experiments, findings and defend the work in front of a committee. | ||
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