Master of Science in


This Program is accredited by the MFHEA

Degree Overview

The reason for offering M.Sc. in Computer Science is to provide a foundation for a career in technology research and development. Jobs in the computer science industry can typically be found in a company’s information technology department, a government agency, or a non-profit entity. For individuals already working in the information technology sector, a master’s degree program may provide a career boost by enabling professionals to expand their expertise in the field. For example, a master’s degree program gives students specialized skills in one or more areas of computer science or technology, including software development, augmented and virtual reality, network security, or artificial intelligence. Students can also gain the research and analytical skills during the project- or research-based modules that they need to prepare for successful admission into a Ph.D. program for further study.


Entry Requirements for this Program

Students are expected to have undergraduate training in mathematics, physics, computing, and mathematical modeling. Specifically, all incoming students are expected to meet the following fundamental requirements: 1) four semesters of mathematics, beginning with a two-semester sequence in calculus, 2) three semesters of calculus-based physics and general engineering science, 3) one semester of computing (e.g., an introductory course using a high-level language such as Java, C++, C#, Visual Basic, C, or Python).
Most undergraduate programs in science and engineering provide the required background. Students deficient in one or a small number of these areas may be admitted into the MS program on Provisional Status. During the first semester, students who are on Provisional Status will need to take courses to address the deficiencies. As soon as deficiencies are removed, students are advanced to the regular graduate status. In addition to the fundamental requirements, all students who enter the MS program must also demonstrate satisfactory understanding of Introduction to Probability and Statistics.
Admission is based on evaluation of the applicant's letter of intent, undergraduate transcript, IELTS or TOEFL score, letters of recommendation, and professional experience. Applicants are expected to have an undergraduate GPA of 3.00 on the last 60 units of course work, 79 TOEFL or 6.5 IELTS.

Program length:

24 Months./Full-Time

36 Months./Part-Time

GPA needed to earn the degree:

3.0 or higher

Credits needed to earn the degree:

45US credits / 90ECTS 

Degree level:

MQF Level 7

Pass Rate:



Students may join M.Sc. in Computer Science (research-based) program, in which 30 ECTS credits are devoted to courses and 60 ECTS credits to an individual research-based thesis. Otherwise, the course-based route (M.Sc. in Computer Science (taught), 80 ECTS credits are devoted to the courses, and 10 ECTS credits to an MSc project can be an individual/group work. The study program relates closely to the research carried out at AUM through research-based courses and advanced research projects.

The program’s overall goal is to prepare students for prominent careers in industry or further academic study based on their acquired knowledge, skills, and competencies.

M.Sc. in Computer Science degree holders possess knowledge of: 

a) Knowledge in different modern computer science fields, including artificial intelligence, data mining, network security, advanced computer graphics, computer vision, augmented, virtual, and mixed reality.

b) Research methodology, including the fundamentals of scientific writing, how to give a scientific talk, how to evaluate a scientific paper, and research ethics.

c) Apply the most suitable technique(s) for solving specific computer science problems, and justify their choice through argumentation or the implementation of the (partial) solution using software development tools/programs.

d) Advanced principles and techniques from the elective areas in which the student decided to develop particular expertise. Such expertise is developed by following elective courses in the research areas of staff members, utilizing advanced independent studies, and mainly during the MSc thesis work.

e) Established and potential applications of techniques developed within the chosen area of specialization.

M.Sc. in Computer Science degree holders can apply the methods and procedures as follows:

a) Assess methods and tools to design, implement, test, document, and maintain a computer-based system.

b) Design and develop research methods, techniques, and problem-solving approaches from the field of research in which they are specializing.

c) Analyze complex real-world problems and devise efficient computer-based solutions.

d) Communicate effectively and professionally both in writing and using presentations to the specialists.

e) Originate the works by following ethics and their impact on computer science.

M.Sc. in Computer Science degree holders can apply their knowledge and skills as follows:

a) Work collaboratively with others on a team, contributing to the management, planning, and implementation of a computer system;

b) Independently propose a small scale research project, plan its execution, undertake its development, evaluate its outcome, and report on its results in a professional manner;

c) Advance knowledge through the project- and research-based innovation in the relevant field.

d) Interpret and present theoretical, practical issues and empirical findings.

 Learning Outcomes for Computer Science skills for the whole course,

 A graduate with M.Sc. in Computer Science taught- or research-based both will have the ability to:

a) Interpret computer science concepts, designs, and solutions effectively and professionally;

b) apply knowledge of computing to produce effective designs and solutions for specific problems;

c) evaluate, criticize, and synthesize scholarly literature relating to the field of computer science; and

d) Responsible for creating software development tools and systems in modern computing platforms.

e) assess and critique the state of the art developments within their chosen field of interest. Besides, a graduate with M.Sc. in Computer Science (research-based) can undertake outcomes-based research for solving a particular computer-based solution with minimal supervision.

    General Pedagogical Guidelines and Procedures for this Course

    The teaching method follows the standard classroom model in which the primary mode of instruction is lectures, lab exercise (practical for programming), and engagement with students through discussion. The instructor provides material, including where appropriate videos, for the students to study outside of class. In class and lectures to clarify the material, the instructor leads in-class exercises (problems, design projects, instructing on software, programming languages, discussions, etc.).
    Besides, computer lab-based sessions will enable students to comprehend the fundamentals discussed in the class and acquire hands-on in using and applying learned concepts through computer programming problem solving and relevant works. Out of class reading and homework assignments are regularly assigned, submitted, and graded. Students also can engage in one-to-one instruction through office hours given by the course (module) instructor.


    Computer Science disciplines require strong mathematical and analytical skills. Assessments (in-class examinations, homework and individual and team projects) will focus on those skills. In general, grades will be assigned based on performance on those assessments. Students with learning disabilities will be addressed. Additional time or quiet settings will be provided for examinations for those students as determined appropriate.

    Cheating and Plagiarism

    Exams will be administered in classroom settings by the instructor.

    Appropriate identification will be required. Class notes or limited sets of materials may be available to students during exams. Only simple calculators without memory cards will be permitted to avoid students bringing additional materials to assessments. The plagiarism tool, Turn-it-in, will be applied to document reports and papers are not copied from other sources without proper citation. If the similarity report exceeds more than 15%, instructor will take further investigation on the reports/documents and act as AUM policy.


    The M.Sc. in computer science degree program is intended to produce graduates who can develop and implement practical solutions for software development, computer vision, Artificial Intelligence (AI), computing systems, data science, and related applications. This program responds to student and employer demand for a skilled workforce in computer science that knows the advancement of computer programming, software development tools, and how to utilize these emerging technologies and tools. This degree program does not lead to a warranted profession or regulated occupation.

























    Please Note:

    1. The student of the Master of Science in Computer Science (research-based) must take module M.Sc. Thesis.
    2. All courses will offer every year (two semesters), including compulsory modules. Students can select/register based on their choice from the offered modules each semester. 
    3. A full-time student cannot register for more than 30 ECTS/semester, while a part-time student can register a maximum of 18 ECTS/semester.
























    Please Note:

    1. The student of the Master of Science in Computer Science (taught) must take module M.Sc. Project.
    2. All courses will offer every year (two semesters), including compulsory modules. Students can select/register based on their choice from the offered modules each semester. 
    3. A full-time student cannot register for more than 30 ECTS/semester, while a part-time student can register a maximum of 18 ECTS/semester.