Bachelor of Science (Honours) (Computing Science)

Bachelor of Science (Honours) (Computing Science)

Course Title

Bachelor of Science (Honours) (Computing Science)

MQF Level

6

Duration and Credits

3 Years

180 ECTS

Mode of Study

Full-time

Information for International applicants

  1. two Advanced Level passes at Grade C or better in Pure Mathematics and in any other subject and
  2. an Intermediate Level pass in any subject (excluding the subjects presented at Advanced Level).

Admission to this course is also open to applicants in possession of the Certificate in ICT Foundation Studies from the University of Malta.

Applicants wishing to join the part-time mode must submit their application as full-time, and then include a note in the comments box of the online application, denoting their preference to be considered for the part-time option. Such requests will be considered by the Faculty Board.

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Applications for our February and October intakes have been officially open since the third week in November. You can submit your application online. The deadlines for submission of applications vary according to the intake and courses. We encourage all international applicants to submit their applications as soon as possible. This is especially important if you require a visa to travel and eventually stay in Malta.

You can compare your national qualifications to the local requirements by visiting our qualifications comparability webpage. Access more information about our admission process and English language requirements.

The University of Malta has student accommodation on campus called Campus Hub. Campus Hub is just a 2-minute walk from the main campus. For more information, visit the accommodation website.

Our dedicated team at the student recruitment office is here to support you every step of the way. From the moment you start your application to the moment when you receive your decision letter, we're here to assist you. If you have any questions or need further information, don't hesitate to reach out to us. You can contact us at info@um.edu.mt, and our team will be more than happy to help.

After you receive an offer from us, our International Office will assist you with visas, accommodation and other related issues.

Applicants wishing to join the part-time mode must submit their application as full-time, and then include a note in the comments box of the application form, denoting their preference to be considered for the part-time option. Such requests will be considered by the Board of the Faculty.

The Computing Science Degree programme focuses on giving sound scientific and practical skills for constructing, analysing, and maintaining complex software systems. The course is suitable if you are interested in all aspects of computer science, ranging from the low-level hardware interfacing, to the construction of distributed and concurrent systems, to the handling of complex data structures, up to the analysis of these artefacts using mathematical and formal methods. It covers topics such as software engineering, computer architecture, computer vision and signal processing, and inducts you to be proficient in a wide variety of programming paradigms. The aim is to prepare graduates with a solid grounding in computing science aspects in systems development. As a graduate following this programme, you will be ready to take on jobs related to software development in a wide variety of industries, or further your studies in a selected area.

The Computing Science Degree programme focuses on giving sound scientific and practical skills for constructing, analyzing, and maintaining complex software systems. The proliferation of technologies such as cloud and mobile computing is changing the nature of software development as we know it today. The focus is moving from developing applications for a single powerful machine to new environments ranging from:

(i) ones in which developers have to harness the computational power of multiple computers (possibly geographically distributed) in order to leverage the cost of expensive calculations and guarantee acceptable levels of service; to
(ii) the other extreme of developing systems which run on mobile devices with limited computational, memory and power resources. These fundamental changes necessitate both a deeper understanding of the concepts underlying science of computing, as well as a proper exposition to new computational models and analysis techniques, tools and technologies. Furthermore, interaction frequency with machines in our everyday life is ever increasing (not only for communication but also in critical cases e.g. eGovernment services, health records kept in databases, etc.) ֠making the need for correct and dependable computer systems ever more important. Social networking and cloud networking impose new stringent requirements on software development where scheduling of tasks, communications in the networks, and exploitation of multimedia content are becoming imperative to guarantee a quality of experience to the users in virtually real-time.

The degree gives a foundation necessary for appreciation and understanding of these issues - both theoretical and practical - leading up to concrete career pathways in both industry and academia. The degree is suitable for students interested in all aspects of computer science, ranging from the low-level hardware interfacing, to the construction of distributed and concurrent systems, to the handling (e.g., compression, encryption, transfer) of complex data structures, up to the analysis of these artefacts using mathematical and formal methods. It covers core topics such as software engineering, data structures and algorithms, compilers, systems programming computer networks, computer architecture, computer vision and signal processing, and inducts students to be proficient in a wide variety of programming paradigms such as procedural, object-oriented, functional, logical, concurrent and scripting based. The course teaches indispensable skills required by industry such as software testing and security. Moreover, by exposing you to the core concepts in computer science, the course equips you well for adapting quickly to future technologies.

The aim is to prepare you with a solid grounding in computing science aspects in systems development ranging over mobile devices, programming languages, signal processing and communication networks. As a graduate following this programme, you will be ready to take on jobs related to software development in a wide variety of industries, or further their studies in a selected area.

The main objective of this programme of study is therefore to prepare you to face modern ICT challenges where they are expected to develop software that exploits the underlying technologies.

The programme offers significant lecturing and training in subjects like mathematics, computer language design, algorithm development, software engineering, software verification and testing, real-time systems and applications, digital signal processing, computer organisation, and communication and computer networks. In the final year the student has the opportunity to focus more in one of the fields through the dissertation.

Communication and Academic Skills Programme

The communication and academic skills programme complements students’ main course of study. It introduces them to writing and presenting as situated within academic contexts sensitive to specific disciplines and develops their competences for future careers.

 
Year   (This/these unit/s start/s in Semester 1 and continue/s in Semester 2)
 
Compulsory Units (All students must register for this/these unit/s)
 
SOR1201 Probability, Sampling and Estimation 4 ECTS   (NC)  

 
 
Semester 1
 
Compulsory Units (All students must register for this/these unit/s)
 
CCE1013 Computer Logic 1 5 ECTS   (NC)  
CPS1002 Mathematics of Discrete Structures 5 ECTS   (NC)  
CPS1011 Programming Principles in C 5 ECTS   (NC)  
CPS1013 Software Project 5 ECTS   (NC)  
MAT1801 Mathematics for Engineers 1 4 ECTS   (NC)  

 
 
Semester 2
 
Compulsory Units (All students must register for this/these unit/s)
 
CCE1014 Computer Logic 2 5 ECTS   (NC)  
CIS1041 Introduction to Databases 4 ECTS   (NC)  
CPS1005 Discrete Mathematics for Computing Science 5 ECTS   (NC)  
CPS1012 Operating Systems and Systems Programming 1 5 ECTS   (NC)  
ICT1018 Data Structures and Algorithms 5 ECTS   (NC)  
LIN1063 Academic Reading and Writing in English 2 ECTS    
MAT1802 Mathematics for Engineers 2 4 ECTS   (NC)  
SOR1232 Hypothesis Testing and Statistical Modelling 2 ECTS    

 
Requirement for regular progression to Year 2: 60 ECTS credits

 
Year   (This/these unit/s start/s in Semester 1 and continue/s in Semester 2)
 
Compulsory Units (All students must register for this/these unit/s)
 
CPS2009 Team-based Software Engineering 10 ECTS   (NC)  

 
 
Semester 1
 
Compulsory Units (All students must register for this/these unit/s)
 
CCE2203 Signals and Systems 5 ECTS   (NC)  
CCE2414 Computer Networks 5 ECTS   (NC)  
CPS2001 Programming Paradigms 5 ECTS   (NC)  
CPS2004 Object Oriented Programming 5 ECTS   (NC)  
CPS2005 Formal Languages and Automata 5 ECTS   (NC)  

 
 
Semester 2
 
Compulsory Units (All students must register for this/these unit/s)
 
CCE2014 Microcontroller Based Systems 5 ECTS   (NC)  
CCE2502 Pattern Recognition and Machine Learning 5 ECTS   (NC)  
CPS2000 Compiler Theory and Practice 5 ECTS   (NC)  
CPS2008 Operating Systems and Systems Programming 2 5 ECTS   (NC)  
ICS2210 Data Structures and Algorithms 2 5 ECTS   (NC)  

 
Requirement for regular progression to Year 3: 60 ECTS credits

Students are required to register for ALL compulsory study-units (40 ECTS credits) and 20 ECTS credits from the elective study-units on offer during the year, to a total of 60 ECTS credits.
 
Year   (This/these unit/s start/s in Semester 1 and continue/s in Semester 2)
 
Compulsory Units (All students must register for this/these unit/s)
 
ICT3907 Final Year Project in Computing Science 25 ECTS   (NC)  

 
 
Semester 1
 
Compulsory Units (All students must register for this/these unit/s)
 
CCE2503 Search and Optimisation Methods 5 ECTS    
CPS3230 Fundamentals of Software Testing 5 ECTS    
CPS3239 Computability and Complexity 5 ECTS    
 
Elective Units (Elective units are offered subject to availability, a minimum number of student registrations and time-table constraints)
 
CCE3015 Programming Parallel Architectures 5 ECTS    
CCE3101 Multimedia Signal Representation and Coding 5 ECTS    
CCE3206 Digital Signal Processing 5 ECTS    
CCE3207 Introduction to Computer Vision 5 ECTS    
CCE3311 Communication Systems 5 ECTS    
CCE3503 Practical Machine Learning 5 ECTS    
CPS3231 Computer Graphics 5 ECTS    
CPS3232 Applied Cryptography 5 ECTS    
CPS3235 Data Science: From Data to Knowledge 5 ECTS    
CPS3236 Concurrency, HPC and Distributed Computing 5 ECTS    
CPS3237 Program Analysis 5 ECTS    
CPS3238 Principles of Programming Languages 5 ECTS    
ICT3009 Blockchain and Smart Contracts 5 ECTS    
LIN3012 Data-Driven Natural Language Processing 5 ECTS    
SOR2321 Queuing Theory and Markov Chains 5 ECTS    

 
 
Semester 2
 
Elective Units (Elective units are offered subject to availability, a minimum number of student registrations and time-table constraints)
 
CCE3412 Data Communications 5 ECTS    

 
Requirement for successful completion of Year 3: 60 ECTS creditsRequirement for award of B.Sc. (Hons) in Computing Science: 180 ECTS credits

This programme of study is governed by the General Regulations for University Undergraduate Awards, 2019 and by the Bye-Laws for the award of the Bachelor of Science (Honours) - B.Sc. (Hons) - under the auspices of the Faculty of Information and Communication Technology.

By the end of the programme, you will be able to:

  • Work in ICT sectors requiring sound programming skills for solution automation and for efficient exploitation of the underlying hardware.
  • Engineer software that is aware of the limits imposed by the resources over which it has to compute.
  • Apply mathematical tools to understand the aspects of a problem, develop a rigorous software solution, and analyse its behaviour.
  • Proceed to postgraduate studies in Computer Science, Telecommunications, Multimedia Signal Processing, Artificial Intelligence, Games Development, or Software Development.
  • Take a multidisciplinary approach in the work-field through your expertise in subjects like mathematics, computer language design, algorithm development, software engineering, software verification and testing, real-time systems and applications, digital signal processing, computer organisation, and communication and computer networks.

Non EU Applicants:

Fee per academic year: Eur 10,800

You are viewing the fees for non EU nationals. Switch to EU nationals if you are a national of any country from within the EU/EEA.

The current demand for graduates from this course will make you employable in the evolving ICT sector due to the increasing market of innovative technology. You will be able to pursue a career as a software developer and engineer, systems engineer, project leader and developer, network management and applications, strategic ICT planner, distributed and concurrent software developer, multimedia communications engineer, and much more.

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