School: Maroun Semaan Faculty of Engineering and Architecture

Computer Science

Academic year

2023-2024
Taught Language: English

Course Summary

The Department of Computer Science at AUB Mediterraneo prepares students for advanced studies and professional careers in the dynamically changing world of computing and information technology. Our program combines the theoretical foundations of computing with the practical knowledge of software development vital to industry, to provide a broad and integrated curriculum. The department offers a Bachelor of Science (BS) degree in computer science, designed to be completed typically in four years. The department has vigorous research programs in graphics and multimedia, networking and security, machine learning and data science, high-performance computing, data mining and information retrieval, and software engineering. Our faculty members are committed to contributing to the advancement of the field of computing through​ scholarly activities, in which our students play a vital role.​​​

Career Prospects

Modules

A typical study plan could have the following distribution of CS courses:

First Year 

  • Fall term: CMPS 201, CMPS 211, MATH 101, ENG, GE
  • Spring term: CMPS 202, MATH 102, MATH 218, ENG, GE 

Second Year
  • Fall term: CMPS 214, CMPS 221, CMPS 270, MATH 201, GE
  • Spring term: CMPS 231, CMPS 244, CMPS 271, STAT 230, GE

Third Year

  • Fall term: CMPS 215, CMPS 240, CMPS 261, GE, GE
  • Spring term: CMPS 242, CS elective, CS elective, GE, GE
 
Fourth Year
  • Fall term: CMPS 290, CS elective, CS elective, GE, GE
  • Spring term: CS elective, CS elective, TECH elective, GE, GE​

 

CMPS 201 Introduction to Programming   (6 ECTS)
This course introduces students to programming and computational thinking. A high- level programming language is used. Students will learn the principles of imperative and object- oriented programming in addition to basic data types, flow control (repetition and selection constructs), procedures and functions, parameter passing, scoping, recursion, arrays, and classes. Students are briefly introduced to simple algorithms and data structures​

CMPS 202  Intermediate Programming with Data Structures   (6 ECTS) 
This course consolidates algorithm design and programming techniques, with an emphasis on abstract data types. The course introduces students to the design, analysis, and implementation of data structures as well as some of the key algorithms operating them. Topics include lists, stacks, queues, deques, sets/maps, search trees (binary search trees and AVL trees), heaps/priority queues (heap sort), hash tables, and graphs (breadth-first search and depth-first search). Prerequisite: a grade of at least C+ in CMPS 201. Every term 
 
CMPS 203 Programming for Everyone   (6 ECTS)
This course is designed for students with no prior exposure to computer science or programming. It aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. To this end, it provides students with a brief introduction to many topics in computer science so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goals later in their career. The course will use the Python programming language. Not open to computer science students. 
 
CMPS 208 Computing for Business   (6 ECTS)

This course introduces Excel as a computer tool to plan, create, and use spreadsheets to formulate and solve business problems. It exposes students to a wide coverage of spreadsheet topics from introductory concepts such as problem formulation, writing formulas and functions, charting, grouping, and error prevention to more powerful and advanced features such as pivot tables, and analysis needed in decision-making. In addition, it boosts students’ ability to collect, analyze, and forecast business and financial data to generate valuable insights. The course offers students an opportunity to apply skills in a laboratory environment in which they can experiment using Excel business problems designed for some selected topics. It provides the tools to perform modeling, calculations, analysis of various phenomena encountered in other courses such as finance, operations management, human resources, etc. 

CMPS 211 Discrete Structures   (6 ECTS) 
This course introduces students to discrete structures, focusing on those relevant to computing sciences. Topics covered include Logic and Proofs, Sets, Sequences, Functions, Growth of Functions, Algorithms and their complexities, Induction and Recursion, Counting, and Recurrence Relations. Every term. 

CMPS 214 Algorithms and Data Structures   (6 ECTS) 
This course introduces systematic methods for the design and (asymptotic) analysis of advanced algorithms and data structures. Topics include searching, sorting, order statistics, divide-and-conquer, greedy algorithms, dynamic programming, multi- threaded algorithms, matrix algorithms, as well as (advanced) graph algorithms. Several data structures are also studied such as red-black trees, binomial heaps, Fibonacci heaps, and suffix trees. Prerequisites: CMPS 211 and a grade of at least C+ in CMPS 202. Annually. 
 
CMPS 215 Theory of Computation   (6 ECTS)  
A course that covers basics of automata and language theory, computation theory, and complexity theory. Topics include regular expressions, finite automata, context-free grammars and parsing, push down automata, closure properties, Turing machines, Church’s thesis, reductions and decidability, time complexity and NP-completeness, space complexity, polynomial-space and log-space computations, circuit complexity, probabilistic computations and complexity classes, approximation algorithms, and selected topics as time permits. Prerequisites: CMPS 214. Annually. 

CMPS 216 Algorithmic Graph Theory  6 ECTS  This course explores algorithmic graph theory by visiting some of its core theorems, key problems, and efficient algorithms and tools.
The main goal is to systematically present essential results for the design of graph algorithms. Mathematical properties of graphs will be used in developing new algorithms and showing that these algorithms work correctly and efficiently. The course assumes no prior knowledge of graphs but requires that students have “mathematical maturity” (e.g., are comfortable with proofs and abstract reasoning). Some of the topics that will be covered include fundamentals of graphs, connectivity, matching, covering, planarity, sparsity, coloring, and network flows. Prerequisites: CMPS 214. Annually. 

CMPS 217 Advanced Design and Analysis of Algorithms   6 ECTS 
This course studies advanced data structures and algorithms, with an emphasis on the design of efficient algorithms. It surveys many of the techniques that apply broadly in the design of efficient algorithms, and studies their application in a wide range of domains and computational models. The goal is for the class to be broad rather than deep and to touch upon the following areas: data structures, bit tricks, string algorithms, maximum flows, linear programming, online algorithms, approximation algorithms, fixed-parameter algorithms, parallel algorithms, external-memory algorithms, computational geometry, and streaming algorithms. This is a tentative list of topics that might be covered; some material will be selected adaptively based on the background, interests, and rate of progress of the students. Prerequisites: CMPS 215. Annually. 
 

CMPS 221 Computer Organization and Design   6 ECTS 
This course covers the fundamentals of computer architecture with a focus on single- core processor design. Topics include: digital logic design, combinational and sequential logic, hardware for computer arithmetic, floating point arithmetic, assembly programming, instruction set architecture, datapath design, pipelining and pipeline hazards, memory organization, cache design, and virtual memory. Prerequisites: CMPS 211 and a grade of at least C+ in CMPS 202. Annually.

CMPS 224 GPU Computing   6 ECTS 
This course covers parallel computing in the context of processors with many computational cores, with particular emphasis on data parallelism and general purpose GPU programming. The course introduces the CUDA programming model as well as the GPU architecture and memory organization. The course then covers mapping algorithms to parallel hardware and common optimizations for parallel code using numerous parallel patterns and applications case studies, such as: vector addition, matrix multiplication, convolution, stencil computation, histogram, reduction, prefix-sum, ordered merge, sorting, sparse matrix computation, graph traversal, and others. The course also covers a selection of advanced parallel programming practices. Prerequisites: CMPS 221. Annually. 

CMPS 231 Programming Languages   6 ECTS 
This course covers the fundamentals of programming language design and implementation. The course introduces functional programming and examines the language design principles underlying functional, imperative, and object-oriented languages. Type systems are also introduced. The course also covers the initial stages of programming language implementation, including lexing, parsing, and semantic analysis. Prerequisite: a grade of at least C+ in CMPS 202. Annually.

CMPS 232 Compiler Construction    6 ECTS 
This course covers the design and implementation of optimizing compilers starting from source code representation down to machine code. Topics include intermediate representations, linkage and storage conventions, intermediate code generation for imperative and object-oriented languages with polymorphism, global dataflow analysis and the iterative dataflow algorithm, local and global optimizations, backend code generation, and register allocation. Prerequisites: CMPS 221 and CMPS 231. Annually.  

CMPS 240 Operating Systems   6 ECTS 
This course provides an introduction to the fundamentals of operating system function, design, and implementation. It contains a theory component illustrating the concepts and principles that underlie modern operating systems and a practice component to relate theoretical principles with operating system implementation. The course is divided     into three major parts. The first part of the course discusses concurrency (processes, threads, scheduling, synchronization, and deadlocks). The second part of the course discusses memory management (memory management strategies and virtual memory management). The third part of the course concerns file systems, including topics such as secondary storage systems and I/O systems. If time permits, the following topics will be briefly examined: Virtualization, security, distributed synchronization, and perhaps other topics. A case study of a contemporary operating system like UNIX accompanies the course. Prerequisite: CMPS 221. Annually. 

CMPS 241 Systems and Network Programming   6 ECTS 
This course focuses on the programming aspects of networking protocols. Topics include: Designing and building programming applications that use computer networks, fundamental concepts required to build iterative and concurrent client/server networking applications using sockets. Then it moves to explain low level networking programing and other advanced socket topics. The course also presents the emerging peer-to-peer computing along with some tools needed to develop P2P applications. Prerequisite: CMPS 240. Annually. 

CMPS 242 Computer Networks       6 ECTS 
An introduction to network architectures and protocols, placing emphasis on Internet design principles and methodology. Specific topics include application layer protocols, network programming, transport protocols, circuit switching and packet switching, routing algorithms, multicast, local and wide area networks, error detection and correction, and performance evaluation. Prerequisite: CMPS 221. Annually.

CMPS 243 Computer and Information Security        6 ECTS
This course introduces students to the world of information and computer security. Students will be exposed to various security vulnerabilities of computing and networking systems and learn their fundamental aspects such as cryptography, user authentication, access control principles, trusted computing & multilevel Security, database security, SQL injection attacks, malicious software, worms, malwares, viruses, denial-of-service attacks, intrusion detection and prevention systems, firewalls etc. Also, other topics related to operating system security, web security, wireless security, and Internet security are covered as time permits. The course will examine causes of security breaches and give methods to help prevent them. Prerequisite: a grade of at least C+ in CMPS 202 and senior standing. 

CMPS 244 Database System       6 ECTS 
This course covers the fundamental concepts of database systems. Topics include data modeling using the Entity-Relationship model and the Relation model; query languages including relational algebra and SQL; File Organization and Indexing; Normalization; database programming; and noSQL databases. The course is offered in blended-format and includes a term project. Prerequisite: a grade of at least C+ in CMPS 201 and junior standing. Annually. 

CMPS 245 Information Retrieval and Web Search      6 ECTS 
This course introduces graduate-level students to the basics of information retrieval, and the models and algorithms underlying modern search engines. Topics covered include: crawling; indexing; Boolean and vector space retrieval models; probabilistic information retrieval models; language models; top-k query processing; evaluation of information retrieval systems; relevance feedback; link analysis; latent semantic analysis; and information extraction. Prerequisite: Senior standing. Annually. 

CMPS 246 Distributed Systems    ​6 ECTS 
A distributed system consists of a set of nodes located at networked computers and communicate only by passing messages. This course provides techniques to abstract, design and implement efficient, scalable, and fault-tolerant distributed systems. Topics include, but not limited to, inter-process communication, distributed synchronization and consensus (e.g., paxos, blockchain), fault-tolerance, distributed file systems (e.g., HDFS), and Hadoop ecosystem. Prerequisite: CMPS 240. Annually. 

CMPS 247 Advanced Networking Topics    6 ECTS 
This course focuses on the current, advanced, and emerging topics in networking. It aims to make the students familiar with the state of the art in networking topics and enhance their skills in network programming and simulations.   Lectures will cover topics that include but not limited to socket programming, multicasting, quality of service, IPv6 based networks, Voice Over IP and Internet telephony, software defined networks, network function virtualization, data centers, wireless and mobile networking architectures and technologies (MANET, LTE, 5G). Due to time limitations, some topics might be covered through student presentations. Prerequisite: CMPS 242. Annually. 

CMPS 251 Numerical Computing    6 ECTS
Techniques of numerical analysis: number representations and round-off errors, root finding, approximation of functions, integration, solving initial value problems, Monte-Carlo methods. Implementations and analysis of the algorithms are stressed. Projects using MATLAB or a similar tool are assigned. Prerequisites: a grade of at least C+ in CMPS 201, and MATH 201. Annually. 

CMPS 261 Machine Learning    6 ECTS 
This course covers Machine Learning theory, algorithms, and applications. Machine Learning is currently at the heart of Artificial Intelligence. It enables computational systems to adaptively improve their performance with experience accumulated from the observed data. This course balances theory and practice and covers the mathematical as well as the heuristic aspects. It also covers the latest trends in Machine Learning such as deep learning. Prerequisites: a grade of at least C+ in CMPS 201, STAT 230, and MATH 218. 

CMPS 262 Data Science    6 ECTS
This course introduces foundational elements comprising the data science pipeline. It covers techniques in data acquisition, cleaning, and preparation for machine learning, basic applied machine learning techniques spanning distance based algorithms, rule based algorithms, and black box algorithms, basic statistics for machine learning (descriptive, inferential, and estimation statistics), basic time series analysis and forecasting techniques, data production techniques using knitr and rmarkdown, and machine learning interpretability using SHAP. The course is delivered using both the R and Python programming languages. Prerequisites: a grade of at least C+ in CMPS 201, STAT 230. 

CMPS 263 Advanced Machine Learning    6 ECTS 
This course focuses on Deep Learning and its applications. Deep Learning has revolutionized the field of Machine Learning and has turned Artificial Intelligence from a research endeavor into an actual reality. In this course, you will learn about the fundamentals of Deep learning, and how to build Deep Learning models for various real-world applications, particularly in Computer Vision and Natural Language Processing. Prerequisites: CMPS 261. 
 
CMPS 270 Software Construction    6 ECTS 
Software Construction provides methods, tools and techniques to develop, modify and maintain complex and efficient software systems. Topics include object oriented design; specifications and invariants; abstract data types, testing, design patterns, concurrency; version control and event driven programming. Prerequisite: a grade of at least C+ in CMPS 202. 

 

CMPS 271 Software Engineering    6 ECTS
This course introduces practical industry-standard software engineering best practices to students that have already written moderate sized software. Students are exposed to full development lifecycle methodologies, choosing the right SDLC, requirements management, software design, design patterns, testing. A group term project provides a holistic hands-on experience building an end-to-end software application using agile principles and emulating a real-world environment often for real clients with real needs. Other topics covered include working in a team, professionalism, project management, and ethics. Prerequisite: CMPS 270. Annually. 

CMPS 272 Advanced Software Engineering    6 ECTS 
A course on state of the art software engineering for large distributed and concurrent systems. Fundamental principles and concepts for specifying, designing, analyzing, implementing, and testing such systems. Concurrent object oriented paradigms. Design patterns. Use of tools. Documentation using both formal and informal descriptions. Students will develop at least one large software system as part of the course. Prerequisite: CMPS 271. Annually.

CMPS 275 Mobile Application Development    6 ECTS 
This course introduces to students the world of mobile applications development from a software engineering perspective.  Students will learn the importance of a good design for a mobile application, in addition to being able to write a basic to intermediate mobile application. The course includes many software design patterns and user interface design patterns. Students will learn how to collect, store, and present data in a mobile application, in addition to using the different exciting features of a mobile such as locations, graphics, cameras, and other features. Prerequisite: a grade of at least C+ in CMPS 202. Annually. 

CMPS 278 Web Programming and Design    6 ECTS 
This course introduces the fundamentals needed to program on the Internet as well as the state of the art technologies used in designing and developing rich multi-tiered web based applications. It presents the basics of client-side/server-side web programming and the skills and tools needed to create dynamic Web-based applications. It provides in-depth coverage of various markup languages and their associated cascading style sheets, several client side and server side scripting languages (such as PHP and JavaScript, Angular, and Nodes) in addition to AJAX-enabled rich Internet applications, client-side technologies, web services, Web Servers, and multi- tiered applications using relational database systems. Prerequisite: a grade of at least C+ in CMPS 202. Annually. 

CMPS 280 Digital Media Programming    6 ECTS 
The class is an introduction to digital media programming and processing. The course explains the essential technology behind images, animations, sound, and video and illustrates how to write interactive programs that manipulate these media in creative ways. The class assumes basic knowledge in Java or a first course in programming. Prerequisite: a grade of at least C+ in CMPS 201. 

CMPS 282 Game Programming    6 ECTS
This course introduces students to game programming using state of the art technologies. The course covers both theoretical backgrounds and implementation details of different components of games. Topics covered will be the physical control of a game character, interactions between objects, inventory, HUD, and AI. Prerequisite: a grade of at least C+ in CMPS 202. Annually

CMPS 285 Computer Graphics    6 ECTS
A course that covers the practice of, and underlying mathematical foundation for, interactive graphics programming. Topics include basic graphics systems, graphics primitives and attributes, windows and viewports, clipping, geometric transformations, color systems, 2D texture mapping, and introduction to 3D graphics. Programming in OpenGL will be used. Prerequisite: a grade of at least C+ in CMPS 202. Annually. 

CMPS 290 Internship       2–6 ECTS
 Computer Science students are expected to work eight full weeks at a recognized firm, in Cyprus or abroad. Internships promote the student's personal development and professional preparation and enable them to develop competencies expected of professionals working in business, government or the broader community. Prerequisite: Senior standing. 

CMPS 296 Computer Science Tutorial    2–6 ECTS 
Prerequisite: Senior standing. ​

CMPS 297 Special Topics in Computer Science     2–6 ECTS
A course on selected topics which change according to the interests of instructor and/or students. Topics are chosen from state-of-the-art innovations in software and computer information systems. Prerequisite: Consent of instructor. Annually. 

CMPS 299 Capstone Project  6 ECTS 
A course to enhance students’ skills with practical experience giving them the opportunity to integrate knowledge accumulated in different courses. In this course, students must deliver a software product which passes through the design, analysis, implementation, testing, and evaluation stages. Prerequisites: senior standing. ​

 

PROGRAM OF STUDY FOR A BACHELOR OF SCIENCE IN COMPUTER SCIENCE
​​MAJOR REQUIREMENTS
COURSE or Course Name ECT S
CMPS 201   Introduction to Programming 6
CMPS 202   Intermediate Programming with Data Structures 6
CMPS 211   Discrete Structures 6
CMPS 214   Algorithms and Data Structures 6
CMPS 215   Theory of Computation 6
CMPS 221   Computer Organization and Design 6
CMPS 231   Programming Languages 6
CMPS 240   Operating Systems 6
CMPS 242   Computer Networks 6
CMPS 244   Database Systems 6
CMPS 261   Machine learning 6
CMPS 270   Software Construction 6
CMPS 271   Software Engineering 6
CMPS 290   Internship 6
CS ELECT. 1     6
CS ELECT. 2     6
CS ELECT. 3     6
CS ELECT. 4     6
CS ELECT. 5     6
CS ELECT. 6     6
Total Credits in CS: 120
REQUIRED MATH/STAT COURSES
Math 102   Calculus II 6
Math 201   Calculus III 6
Math 218   Linear Algebra & Diff. Eq. 6
STAT 230   Prob. & Statistics 6
Total Credits: 24
REQUIRED TECHNICAL ELECTIVE COURSES:
TECH ELECT 1     6
Total Credits: 6
​​​GENERAL EDUCATION COURSES
Arabic Communication Skills 6
English Communication Skills 6
English Communication Skills 6
Citizen Science 6
Public Health 6
Understanding Our Cultures and Histories 6
Understanding Our Cultures and Histories 6
Understanding Our Cultures and Histories 6
Understanding Our Cultures and Histories 6
Understanding Our Thinking, Learning and Doing 6
Understanding Our Thinking, Learning and Doing 6
Understanding Our Values 6
Understanding Our Engagement 6
Quantitative Reasoning : Math 101 6
Total Credits: 90
TOTAL CREDITS NEEDED for GRADUATION 240

 

Assessment Method

Για να αποφοιτήσει με πτυχίο στην επιστήμη των υπολογιστών, ένας φοιτητής πρέπει να συμπληρώσει τις ακόλουθες απαιτήσεις: 

Απαιτήσεις Πανεπιστημιακής Γενικής Εκπαίδευσης 
Οι απαιτήσεις γενικής εκπαίδευσης είναι οι εξής: 

  • Επικοινωνιακές Δεξιότητες Αγγλικών (12 ECTS), Αραβικές Επικοινωνιακές Δεξιότητες (12 ECTS)
  • Ποσοτική συλλογιστική (6 ECTS)
  • Κατανοώντας τον κόσμο (12 ECTS)
  • Κατανοώντας τους πολιτισμούς και τις ιστορίες μας (24 ECTS)
  • Κατανόηση της σκέψης, της μάθησης και της πράξης μας (12 ECTS)
  • Κατανόηση του ρόλου μας στον κόσμο (12 ECTS)​


Βασικές Απαιτήσεις

  • Επιστήμη Υπολογιστών: CMPS 201, CMPS 202, CMPS 211, CMPS 214, CMPS 215, CMPS 261, CMPS 221, CMPS 231, CMPS 240, CMPS 242, CMPS 244, 211MP3, CMPS 246, 21 MPS, επιπλέον ECTS σε μαθήματα πληροφορικής με αριθμό 214 και άνω.
  • Τεχνικά μαθήματα επιλογής: 6 ECTS που επιλέγονται από τα ακόλουθα:
    • Επιλογή CS με αριθμό 214 ή παραπάνω,
    • PSYC 222, PSYC 229
    • Μαθηματικά: ΜΑΘ 101 (Λογισμός Ι), ΜΑΘ 102 (Λογισμός ΙΙ), ΜΑΘ 201 (Λογισμός ΙΙΙ), ΜΑΘ 218 (Γραμμική Άλγεβρα και Διαφορικές Εξισώσεις), STAT 230 (Πιθανότητες & Στατιστική)
  • ή οποιοδήποτε άλλο μάθημα μετά από έγκριση του Προέδρου.
 
Όλοι οι υποψήφιοι ειδικοί στην επιστήμη των υπολογιστών αναμένεται να ολοκληρώσουν τα CMPS 201, CMPS 202, CMPS 211 και MATH 101, Math 102, Math 218 τον πρώτο χρόνο. Οι πτυχιούχοι επιστήμης υπολογιστών αναμένεται να διατηρούν μέσο όρο βαθμολογίας τουλάχιστον 2,2 στα μαθήματα επιστήμης υπολογιστών. Οι μαθητές πρέπει να έχουν βαθμό τουλάχιστον C+ στο CMPS 201 και βαθμό τουλάχιστον C+ στο CMPS 202 πριν τους επιτραπεί να εγγραφούν στα περισσότερα μαθήματα CS. 

How to apply

For EU Students:

Prospective students must submit an undergraduate first-year application with the following documents: 

High school transcript for grades 10 and 11 or their equivalent 

An entrance exam is required which can be one option from the below types*:

Scholastic Aptitude Test (SAT)
The SAT can be taken several times. Students can benefit from “super scoring". (i.e., taking the maximum score for each section (Math or Evidence-Based Reading and Writing) from all sessions).​

The International AS-level exam:
3 AS-Levels with the following subjects:
Mathematics (Math or Math - Further), and two non-language subjects

Cypriot Lyceum B Class standardized exams
Two subjects, one in Math (Basic or Advanced), and another non-language subject

Note: The online application link will be posted soon. ​

For non-EU Students:

Visa for American University of Beirut – Mediterraneo

​Required documents for the issue of visa or entry permit that need to be submitted to the Civil Registry and Migration Department of Cyprus​

  • Duly certified copy of passport or other travel document, with a validity of at least the expected duration of studies and/or at least two years.
  • In the case of minors, duly certified parental approval of the suggested residence.
  • Original Certificate of Criminal Record from the country of origin (if the applicant resides in a country other than the country of origin, the certificate should be issued from the country of residence).
  • Duly certified original results of medical tests showing that the applicant does not bear/suffer from HIV/AIDS, Syphilis, Hepatitis B and C, or Tuberculosis – TB (through chest x-ray), from country of origin with validity of four months.
  • Acceptance letter from AUB Mediterraneo, including a description of the specific program of study and its duration.
  • Receipt of payment of registration fees to AUB Mediterraneo.
  • Duly certified copy of confirmation letter from a banking institution in country of residence, of financial ability to cover tuition fees, living and repatriation expenses or duly certified confirmation letter of scholarship, issued by the awarding institution, if this is in the country of residence.
  • Receipt of payment of application fees.
  • Application Form ​M58 thoroughly completed and signed.

After arrival to Cyprus, the below need to be submitted to the Civil Registry and Migration Department within ten days of entry:​

  • Duly certified copy of passport or other travel document, with a validity of at least the expected duration of studies and/or at least two years (shortest period of validity of any of the two) – during the meeting at the department, the applicant also needs to bring the original passport for verification purposes.
  • Proof of comprehensive health insurance in the Republic, unless the applicant is automatically insured with their registration to AUB Mediterraneo.
  • Duly certified original results of medical tests showing that the applicant does not bear/suffer from HIV/AIDS, Syphilis, Hepatitis B and C, or Tuberculosis – TB (through chest x-ray), from Cyprus stamped and signed by a doctor with validity of four months.
  • Confirmation from a banking institution in the Republic that the applicant has transferred sufficient funds to their personal account to cover tuition fees, accommodation, and living expenses for the period that the residence permit is applied for.
  • Personal Bank Guarantee or Bank Guarantee from AUB for repatriation expenses.
  • Receipt of payment of application fees.
  • Application Form M61 thoroughly completed and signed.

Documents not in Greek or English require a certified translation as well into one of the two languages to accompany them. Official documents issued by Russia and Serbia do not require legalisation or ratification, but official documents from any other country will require legalisation by apostille – if the country of issuance is not party to the Apostille Convention, the documents should bear diplomatic ratification. Please find herein more information on ratification of accompanying documents.​​

Application deadline

Application deadlines and the corresponding latest SAT sessions considered for each admission type are as follows:  

Fall 2023

Admissions Type Application Deadline Latest SAT 
session considered*
Decision Notification Date
Early Admissions to Fall 2023-24 May 31, 2023 May 2023 by end of June 2023
Regular Admissions to Fall 2023-24 June 30, 2023 June 2023 by end of July 2023

 

Fall 2024

Admissions Type Application Deadline Latest SAT 
session considered*
Decision Notification Date
Early Admissions to Fall 2024-25 October 31, 2023 October 2023 by end of December 2023
Regular Admissions to Fall 2024-25 December 20, 2023 December 2023 by end of March 2024


* Note:  SAT registration deadlines are approximately 1-2 month(s) before the SAT test session date.  To know more about the SAT exam and its registration, please refer to: www.collegeboard.org

Entry requirements

Qualification requirements

Admission is competitive and based on the results of entrance exam scores provided and the high school transcript as follows: 

  • 50% on an entrance exam (SAT, AS-Levels, or Cypriot Lyceum B Class standardized exams)
  • 50% on the standardized high school averages in grades 10 and 11 


In terms of standardized high school averages, students are compared to their class average and to the average of applicants from the same school.  

There are no specific cut-off scores. The higher the student's score, the better the chances of being admitted. 

Additional entry requirements

Students who are accepted for early admission automatically receive a merit scholarship award! Check the scholarships section for more details.

The following requirements for early admissions must be present all at once for early admission to be considered. If any is missing, the application will be changed to regular admission.

Early Admission Requirements:

  1. Submit an application form by the early admissions deadline
  2. Class rank in the top 25 percent in Grade 10 and Grade 11
  3. Entrance exam score(s) is required which can be one option from the types in the below table*
  4. An Interview, if you are not providing the SAT exam scores



Applying to


Majors
SAT
(super score)

Evidence-Based Reading and Writing + Math
International AS-level exam
(3 subjects)
 
​​Math or Math Further &
2 non-language subject​
Cypriot Lyceum B Class standardized exams
(2 subjects)
 
Math (Basic or Advanced) &
1 non-language subject
 
Arts
 


Philosophy, Politics, and Economics


1130
ABB score
with an A score in Mathematics
(Math or Math - Further)

17-18 grade on each subject

Business

Business Administration in Management​

1180
AAB score
with an A score in Mathematics
(Math or Math - Further)
 
18-20 grade on each subject

Sciences

Computer Science
Industrial Engineering
Psychology


1200
AAB score
with an A score in Mathematics
(Math or Math - Further)
 
18-20 grade on each subject

    Table1: Entrance exam minimum scores

* Important Notes on the entrance exam types: 

  • Only one exam type is considered, and in case multiple exam types are provided one exam per the following precedence order will be chosen:  SAT exam then AS-level exams, and then Cypriot Lyceum B Class standardized exams.
  • The AS-Level or Cypriot Lyceum B Class standardized exams results for the required subjects are to be provided before the admission application deadline to complete your application.  For the SAT results, refer to the deadline section below under “Latest SAT session considered".
  • The university reserves the right to stop considering the SAT alternative exams (AS or Cypriot Lyceum B Class standardized exams) from the above list in any term after fall 2023.  Thus students are encouraged to plan and take the SAT exam when applying to fall 2024 or later.

Once accepted, please note that admission is conditional on the following and students may not register unless all conditions are met.

  • Successfully met the  English language requirement
  • Successfully completed Grade 12
  • Successfully received the certificate or diploma on the basis of which admission was sought ​

As for grade 12 records, they do not affect admission (since usually students apply at the beginning of grade 12) nevertheless once the student is admitted, he/she will be required to present evidence of having met the following conditions (in general, no later than 1 month prior to the start of the term):

English language requirements

English Language Requirement 

Undergraduate applicants must demonstrate English Language Proficiency by submitting satisfactory and valid scores from one of several tests. A score is considered satisfactory if it meets or exceeds the minimum requirement (see below) set by the American University of Beirut - Mediterraneo.

Demonstrating English Language Proficiency

Test ​ Minimum Score  Validity 
SAT (Evidence-Based Reading and Writing)  530  2 years 
TOEFL iBT  69  2 years 
IELTS (Academic)  6.0  2 years 

All undergraduate applicants are requested to meet the English language requirement as soon as possible after receiving their admissions decision from AUB Mediterraneo. 

Fees and funding

Application Fees

Undergraduate Tuition (Per ECTS):


Faculty of Arts and Sciences ​ ​€ 345
Maroun Semaan Faculty of Engineering and Architecture  € 400
Suliman S. Olayan School of Business ​ € 385

General deposit (Refundable) paid only once ​€ 200

Additional Fee information

Undergraduate Financial Assistance

Financial Aid, Need-Based Grant,
UP TO 70% OF​ TUITION​
1. A grant based on the financial need of the family
2. Financial need is not a factor in the admission decision ​
3. If awarded, remains valid for the normal period of study as long as student remains in good academic standing
4. Requires a financial aid application in addition to the admission application


Scholarships​

President Merit Scholarship 100% of Tuition
The President Merit Scholarship Program enables the university to award full-tuition merit scholarships each year to five new undergraduate applicants with outstanding academic qualifications. AUB merit scholarship awardees are selected from among the newly admitted undergraduate students on the basis of academic achievement. Awards are renewable for each undergraduate year provided that the student maintains a minimum cumulative 85% average. No application is required prior to selection. Scholars are selected based on the admissions application only and will be directly contacted.
 
Early Admissions Merit Scholarship 30% of Tuition​
  • Merit based on the academic achievements of the student
  • No separate application other than the admission application
  • Requires submitting an early admission application by the early deadline
  • Requires to be admitted based on early admissions criteria
Legacy Scholarship 10% of ​Tuition
A scholarship percentage awarded to AUB alumni children or grandchildren, who are registered in a school in G12 (or final year at secondary school) class or have graduated from a secondary school and have not attended university yet.
 
Inaugural Cohorts Scholarship Up to 20% of Tuition
A scholarship percentage for the initial cohorts of undergraduate students at AUB Mediterraneo. If a student decides to leave AUB Mediterraneo, then the scholarship amount needs to be returned to the university. This Scholarship​ is offered only during the first two ​years of launching AUB Mediterraneo (AY2023-24 & AY2024-25)

(20% of the tuition for students starting in fall 2023, and 10% of the tuition for students starting in fall 2024)​
 

​General scholarship conditions:

  • Students have met the application requirements, got admitted and paid the enrollment confirmation fee
  • Scholarships are valid for the duration of study as long as the student is in good academic standing
  • Scholarships are deducted from the tuition statement after course registration and attendance.
  • Scholarships (except for the President Merit Scholarship) and financial aid may be combined unless stated otherwise, but total financial assistance (scholarships, financial aid, grants etc.) cannot exceed 80% of the tuition.​​

Provider information

Main Contact

Campus Address: Νεοφύτου Νικολαίδη 65, Πάφος, Κύπρος (Neophytou Nicolaides 65, 8011 Pafos Cyprus)

Contact Person: Mustapha El-Habbal

Phone: +35726813333