Computer Science MS Program
Program Mission:
The Master’s Program in Computer Science at KAUST delivers a rigorous, research-driven academic experience that equips students with advanced theoretical knowledge and cutting-edge practical skills. Through immersion in KAUST’s world-class research environment, students develop the capacity to achieve meaningful scientific and societal impact—advancing the frontiers of computing, driving innovation, and contributing to the Kingdom’s transformation toward a knowledge-based, technology-powered future.
Program Goals:
• Provide students with a rigorous, research-informed education that builds strong foundations in advanced computer science theory, systems, and practice.
• Develop students’ capacity for high-quality research and innovation by engaging them in creative problem-solving and hands-on inquiry within KAUST’s world-class research ecosystem.
• Prepare graduates for high-impact careers by equipping them with the technical expertise, analytical skills, and interdisciplinary mindset needed to excel in academia, industry, and sectors driving Saudi Arabia’s digital transformation.
• Cultivate graduates who can apply computational thinking to address complex scientific, societal, and regional challenges, contributing to the advancement of knowledge and the growth of a knowledge-based economy.
Program Learning Outcomes (PLOs)
Knowledge and Understanding
● K1 Accurate understanding of professional processes and practices such as software development methodologies, programming languages, computing system design, computational models, security frameworks, and industry-standard tools and techniques relevant to Computer Science.
● K2 Advanced knowledge of recent developments in areas of Computer Science, including artificial intelligence and machine learning, resilient computing and cybersecurity, computational bioscience and bioinformatics, visual computing and computational imaging, high-performance computing and big data, computing systems and databases, and theoretical computer science.
● K3 Critically assess and reflect on key Computer Science concepts and theories, providing innovative and creative solutions to emerging issues in areas such as reliability, ethical AI, and secure computing.
Skills
● S1 Apply specialized theories, principles, and computational models to advanced contexts such as artificial intelligence, big data analytics, cybersecurity, and distributed systems.
● S2 Implement and evaluate sophisticated software systems, machine learning pipelines, and distributed systems to solve real-world technical problems.
● S3 Process, analyze, and interpret quantitative and qualitative data in advanced contexts, using computational models, statistical methods, and visualization tools to support evidence-based decision making.
● S4 Select, adapt, and apply advanced ICT tools—including collaborative platforms, specialized programming frameworks, and data analysis environments—to advance research projects, support innovation, and address emerging challenges in computer science and related fields.
Values, Autonomy, and Responsibility
● V1 Uphold academic honesty and adhere to professional codes of conduct, particularly in areas involving privacy, intellectual property, cybersecurity, and the societal impacts of emerging technologies.
● V2 Demonstrate high levels of autonomy in managing specialized computing tasks, advanced projects, and innovative applications in Computer Science.
● V3 Contribute to societal well-being by applying computer science knowledge and skills to address global challenges, promote sustainability, and improve the quality of life through innovative and ethical technological solutions.
MS Course Requirements
MS students must complete the following requirements:
- Core Courses (12 credits)
- Elective Courses (12 credits)
- Research/Capstone (12 credits)
- Graduate Seminar (non-credit)
- Winter Enrichment Program (non-credit)
Core and Elective Courses must be technical courses and cannot be substituted with Research or Internship to fulfill degree requirements.
CS students cannot take the following courses for academic credit toward their degree: CS 201 Introduction to Programming with Python, CS 204 Data Structures and Algorithms, CS 207 Programming Methodology and Abstractions. CS 209 Applied ML for Scientists and Engineers, selected offerings of CS 294 Contemporary Topics (as mentioned in their course description).
*For CS students, CS 201, CS 204, CS 207, and CS 209 are graded on an S/U (Satisfactory/Unsatisfactory) basis and are not counted towards the degree requirements.
Core Courses (12 credits)
Core Courses provide students with the background needed to establish a solid foundation in the program area. Students must complete 12 credits (4 Core Courses) and be aware that Core Courses may be offered only once per academic year. Student must choose from the following list:
| CS 213 | Knowledge Representation and Reasoning | 3 |
| CS 220 | Data Analytics | 3 |
| CS 224 | Introduction to Reinforcement Learning | 3 |
| CS 225 | Neural Network Design and Training | 3 |
| CS 229 | Machine Learning | 3 |
| CS 230 | Computer Systems Security | 3 |
| CS 231 | Applied Network Security | 3 |
| CS 232 | Applied Cryptography | 3 |
| CS 240 | Computing Systems and Concurrency | 3 |
| CS 244 | Computer Networks | 3 |
| CS 245 | Databases | 3 |
| CS 247 | Scientific Visualization | 3 |
| CS 248 | Computer Graphics | 3 |
| CS 249 | Algorithms in Bioinformatics | 3 |
| CS 256 | Digital Design and Computer Architecture | 3 |
| CS 258 | System Architecture and Performance | 3 |
| CS 260 | Design and Analysis of Algorithms | 3 |
| CS 272 | Geometric Modeling | 3 |
| CS 283 | Deep Generative Modeling | 3 |
Elective Courses (12 credits)
Elective Courses allow students to tailor their educational experience to meet individual research and educational objectives with the permission of the Academic Advisor. All Elective Courses must be at the 200-300 level. Students must fulfill the following requirements:
- One CS course (3 credits)
- One Courses from any CEMSE Program (3 credits)
- Two course from any KAUST Program* (6 credits)
*For CS students, CS 201, CS 204, CS 205, and CS 207 are graded on an S/U (Satisfactory/Unsatisfactory) basis and are not counted towards the degree requirements.
Graduate Seminar (non-credit)
Students must register for CS 398 and receive a Satisfactory grade for two Semesters during their MS.
Winter Enrichment Program (non-credit)
All students must complete the Winter Enrichment Program (
WE 100) for credit at least once during their studies at KAUST. Students who have previously completed WEP will be exempt from this requirement in their future studies.
MS Thesis
Students planning to pursue the Thesis option must complete a minimum of 12 credits of Thesis Research (CS 297).
Thesis Application
Students must complete the application and have it approved by the Program Chair no later than the end of week one of their third Semester. The Thesis Advisor must be a full-time program-affiliated Assistant, Associate, or Full Professor at KAUST. The Thesis Advisor can only become project affiliated for the specific thesis project with the Program Chair’s approval. The application must include a Thesis Proposal endorsed by the Thesis Advisor and a timeline for completion.
MS Thesis students who meet the graduation requirements of the non-thesis track may drop the thesis up until the end of their third Semester. Students not able to complete their thesis after this deadline will face academic dismissal.
Thesis Committee Formation
The MS thesis defense committee must include a minimum of three members and may have up to four members. The composition of the committee is outlined as follows:
| Member |
Role |
Affiliation |
| 1 |
Faculty |
Primary affiliation within the student’s program |
| 2 |
Faculty |
Primary affiliation within the student’s program |
| 3 |
Faculty |
Primary affiliation outside the student’s program |
| 4 |
Faculty or Research Scientist |
Affiliation within or outside of KAUST |
Notes:
-
The committee must be approved by the Dean.
- Members 1-3 are mandatory, while member 4 is optional.
- The student’s advisor serves as the chair of the committee. If the advisor holds a primary affiliation within the student’s program, then they act as member 1. If the advisor has a secondary or one-time affiliation within the student’s program, then they act as member 3.
- The student’s co-advisor may serve as member 4.
- Professors of Practice and Research Professors may serve as members 1-4, depending on their affiliation and whether they are the student’s advisor or co-advisor.
- Adjunct Professors and Professors Emeriti may continue serving on committees in the roles they had at the time of their departure but are not permitted to serve on new committees.
- Visiting Professors may only serve as member 4.
- Once approved, any changes to the committee require the approval of both the student's advisor and the Dean.
Petition to Defend Thesis
Students must submit a petition to defend their Thesis by the deadline published in the Academic Calendar. Students are responsible for scheduling the Thesis Defense Date. All committee members must attend the Defense. Students must defend their Thesis and obtain the final approval of the Defense within their duration of study (4 Semesters).
Thesis Defense Results
The format of the Oral Defense is left to the discretion of the Thesis Committee. At the end of the Final Defense, students will be evaluated with one of the following outcomes:
- Pass: The Committee agrees with no more than one dissenting vote. The Thesis must be archived within two weeks of the defense, and the student must send the Thesis Result Form to the GPSA within two days of the defense.
- Pass with Conditions: All committee members must agree on the required conditions. If they cannot agree, the Dean will make the final decision. The student has up to three months to meet these conditions, unless the Committee unanimously agrees to change the deadline.
- Fail with Retake: If conditions cannot be met within three months, or more than one member casts a negative vote, one retake of the defense is allowed. The retake must occur within six months of the original defense unless the Committee unanimously agrees to a shorter timeline. If the student fails the retake, they will be dismissed from the University. The Committee Chair must immediately inform the GPSA to initiate the necessary actions.
- Fail Without Retake: The decision must be unanimous, resulting in the student’s dismissal from the University. The Committee Chair must inform the GPSA immediately to take the necessary actions.
Additional Guidelines:
- Students who have exceeded their duration of study must apply for an extension as per the Time Limit and Extension Policy. All conditions must be fulfilled by the end of the extension period, which takes precedence over the Committee’s set deadlines.
- The outcome of the Thesis Defense must be recorded by submitting the Thesis Defense Evaluation Form to the Office of the Registrar within two days of the defense.
- Additionally, students must submit the Defense Results Form by the deadline published in the Academic Calendar.
- The required forms are available on the webpage of the Office of the Registrar.
Thesis Document
Students must follow the Thesis and Dissertation Guidelines available from the KAUST Library when they write their Thesis. Once the Thesis is ready to be examined, students must determine the Defense date with the agreement of all members of the Thesis Committee.
Thesis Archiving
Students must archive the Thesis in the KAUST Library two weeks from the final result form. This must not exceed the duration of study or the deadline published in the Academic Calendar.
MS Non-Thesis
Students wishing to pursue the non-thesis option must complete a total of 12 capstone credits, with 6 credits of directed research (
CS 299). Students must complete the 6 remaining credits through one of the options listed below:
•
Internship: Summer internship (
CS 295) – students can only take one internship
•
One 300-level CS course and one 300-level course from any degree program at KAUST.