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BSc (Hons) Computer Science and Information Technology-Top up

Location : Ajman (On-Campus)

Start your application

BSc (Hons) Computer Science and Information Technology-Top up

Location : Ajman (On-Campus)

Start your application

Intake

February/June/October

Duration

1 Year Full Time

Awarding Institution

GBS HE Malta

Language

English

Study Mode

On-Campus

Awarded Qualification

BSc (Hons) CS & IT

Accreditation Category

Higher Education Programme

MQRIC Accredited Status

Accredited

Fees

€6,000 per year

Location

On-Campus

The BSc (Hons) Computer Science and Information Technology course provides students with a solid foundation in programming, computer systems and software design.

In Level 6, students undertake a significant final year project, involving research, design, development and testing. They also study user experience design, machine learning, AI and DevOps principles, preparing them for cutting-edge software development. The course covers emerging technologies, equipping students with the knowledge and practical experience required for diverse careers in the computing and IT industries.

Modules

1. User Experience Design Principles

The User Experience Design Principles module provides students with a comprehensive understanding of user experience (UX) design principles and methodologies. Over the module, students will learn about the intricacies of the User-Centred Design (UCD) process, usability testing, and User Interface (UI) design, all within the context of computer science applications. Students will gain an understanding of how to create engaging and intuitive user experiences across digital products and services. The module covers topics such as usability principles, information architecture, interaction design, visual design, and user research methods, equipping students with the knowledge and skills necessary to design user-friendly interfaces that meet user needs and preferences.

2. Machine Learning and AI

The Machine Learning and Artificial Intelligence module provides students with advanced knowledge and skills in machine learning algorithms and artificial intelligence techniques. Building upon foundational concepts introduced in earlier modules, this module explores a range of advanced machine learning models, deep learning architectures, and AI algorithms. The module progresses through foundational concepts, advanced algorithm implementation, deep learning and neural networks, recurrent neural networks, advanced deep learning architectures, and concludes with project work and application examples.

3. DevOps and Cloud Computing

The DevOps and Cloud Computing module provides students with advanced knowledge and skills in DevOps practices, cloud computing technologies, and cloud management. The module covers a range of topics including continuous integration and continuous deployment (CI/CD), infrastructure as code (IaC), containerisation, microservices architecture, and cloud infrastructure management. Through lectures, practicals and hands-on experiences students will gain practical insights in designing, implementing, and managing cloud-based systems using DevOps principles and practices.

4. Emerging Technologies

The Emerging Technologies module explores cutting-edge advancements and trends in the field of computer science and information technology. The module covers a wide range of emerging technologies, including but not limited to artificial intelligence, blockchain, Internet of Things (IoT), quantum computing, augmented reality (AR), virtual reality (VR), and cybersecurity.

5. Final Year Project

The Final Year Project module provides students with the opportunity to undertake an independent project that demonstrates their ability to apply knowledge and skills acquired throughout their undergraduate studies on this programme. The module enables students to work on a substantial project related to computer science/information technology under the supervision of academic staff. Students will have the flexibility to choose a project topic of their interest, conduct research, design and implement solutions, and present their findings to a wider audience. This module guides students through the practical realisation of their project proposal. It also prepares them for the final presentation and provides insights into potential professional and career development opportunities.

To be considered for a place on this programme, applicants are expected to meet the following admissions criteria:

A Higher National Diploma (HND) in Computing or a closely related field (e.g., Information Technology, Software Engineering, Computer Networks, Cybersecurity) from a recognized institution
Successful completion of two years of a bachelor's degree in Computer Science, IT, or a related discipline from a recognized university. (Note: Prior qualifications must closely align with the content covered in the first two years of this programme.)

All applicants to the BSc (Hons) Computer Science and Information Technology programme will be required to attend an admissions interview.

English Language requirements -

An accepted English language test must be taken within 2 years of your start date. Below are the scores required for our programmes for each of the tests that we accept: (table from here)

Test (within 2 years of start date)	Overall	Reading	Listening	Speaking	Writing
IELTS Academic (in centre and Online)	6.0	5.5	5.5	5.5	5.5
TOEFL iBT (at test centre and Home/online)	60	8	7	16	18
PTE Level B2 (in centre and Home/online)	52	48	43	42	51
Duolingo (online)	105	95	95	95	95

Assessment will be through a range of different types of coursework. The range of coursework assessment will include: essays, case studies, group and individual presentations, posters, team work, project proposal and project report.

Formative and summative approaches to assessment will be employed. Formative assessment tasks will be used in all modules and will be aimed at supporting students to understand and prepare for the module summative assessment requirements. In this way, students with different learning styles and abilities will be able to gain a good understanding of the summative assessment requirements and on their journey to submitting their summative assessments.

Assignment briefs will be produced for each of the summative assessments required by each of the modules on this programme. Assignment briefs will set out the learning outcomes being assessed, appropriate material, context, etc. for the assignment. Suggested reading will include book chapters, published articles, weblinks to companies and case studies, as appropraite, to the assignment brief. Each assignment brief will include marking/grading criteria so that participants have a clear understanding of what is required to pass the assessment and what is required to achieve higher grades. Grading of a participants assessment will be made using the pass, merit, distinction and fail criteria common to MQF/EQF Level 4 programmes of study.

Feedback will be provided to each student on their assessed work identifying both areas of strength and areas that could be improved. Where a fail grade is awarded the student will recieve detailed feedback on the reasons for awarding such a grade and the areas that would need to be addressed for improvement.

How to Apply

Complete the online application form.
Submit required documents (transcripts, ID, English proficiency proof).
Attend an interview.
Receive an offer letter.
Make payment to secure your place.
Begin your studies.

Overview

The BSc (Hons) Computer Science and Information Technology course provides students with a solid foundation in programming, computer systems and software desi.

In Level 6, students undertake a significant final year Project, involving research, design, development and testing. They also study user experience design, machine learning, AI and DevOps principles, preparing them for cutting-edge software development. The course covers emerging technologies, equipping students with the knowledge and practical experience required for diverse careers in the computing and IT industries.

Curriculum

Modules

1. User Experience Design Principles

The User Experience Design Principles module provides students with a comprehensive understanding of user experience (UX) design principles and methodologies. Over the module, students will learn about the intricacies of the User-Centred Design (UCD) process, usability testing, and User Interface (UI) design, all within the context of computer science applications. Students will gain an understanding of how to create engaging and intuitive user experiences across digital products and services. The module covers topics such as usability principles, information architecture, interaction design, visual design, and user research methods, equipping students with the knowledge and skills necessary to design user-friendly interfaces that meet user needs and preferences.

2. Machine Learning and AI

The Machine Learning and Artificial Intelligence module provides students with advanced knowledge and skills in machine learning algorithms and artificial intelligence techniques. Building upon foundational concepts introduced in earlier modules, this module explores a range of advanced machine learning models, deep learning architectures, and AI algorithms. The module progresses through foundational concepts, advanced algorithm implementation, deep learning and neural networks, recurrent neural networks, advanced deep learning architectures, and concludes with project work and application examples.

3. DevOps and Cloud Computing

The DevOps and Cloud Computing module provides students with advanced knowledge and skills in DevOps practices, cloud computing technologies, and cloud management. The module covers a range of topics including continuous integration and continuous deployment (CI/CD), infrastructure as code (IaC), containerisation, microservices architecture, and cloud infrastructure management. Through lectures, practicals and hands-on experiences students will gain practical insights in designing, implementing, and managing cloud-based systems using DevOps principles and practices.

4. Emerging Technologies

The Emerging Technologies module explores cutting-edge advancements and trends in the field of computer science and information technology. The module covers a wide range of emerging technologies, including but not limited to artificial intelligence, blockchain, Internet of Things (IoT), quantum computing, augmented reality (AR), virtual reality (VR), and cybersecurity.

5. Final Year Project

The Final Year Project module provides students with the opportunity to undertake an independent project that demonstrates their ability to apply knowledge and skills acquired throughout their undergraduate studies on this programme. The module enables students to work on a substantial project related to computer science/information technology under the supervision of academic staff. Students will have the flexibility to choose a project topic of their interest, conduct research, design and implement solutions, and present their findings to a wider audience. This module guides students through the practical realisation of their project proposal. It also prepares them for the final presentation and provides insights into potential professional and career development opportunities.

Entry requirements

To be considered for a place on this programme, applicants are expected to meet the following admissions criteria:

A Higher National Diploma (HND) in Computing or a closely related field (e.g., Information Technology, Software Engineering, Computer Networks, Cybersecurity) from a recognized institution
Successful completion of two years of a bachelor's degree in Computer Science, IT, or a related discipline from a recognized university. (Note: Prior qualifications must closely align with the content covered in the first two years of this programme.)

All applicants to the BSc (Hons) Computer Science and Information Technology programme will be required to attend an admissions interview.

English Language requirements -

An accepted English language test must be taken within 2 years of your start date. Below are the scores required for our programmes for each of the tests that we accept: (table from here)

Test (within 2 years of start date)	Overall	Reading	Listening	Speaking	Writing
IELTS Academic (in centre and Online)	6.0	5.5	5.5	5.5	5.5
TOEFL iBT (at test centre and Home/online)	60	8	7	16	18
PTE Level B2 (in centre and Home/online)	52	48	43	42	51
Duolingo (online)	105	95	95	95	95

Assessment

Assessment will be through a range of different types of coursework. The range of coursework assessment will include: essays, case studies, group and individual presentations, posters, team work, project proposal and project report.

Formative and summative approaches to assessment will be employed. Formative assessment tasks will be used in all modules and will be aimed at supporting students to understand and prepare for the module summative assessment requirements. In this way, students with different learning styles and abilities will be able to gain a good understanding of the summative assessment requirements and on their journey to submitting their summative assessments.

Assignment briefs will be produced for each of the summative assessments required by each of the modules on this programme. Assignment briefs will set out the learning outcomes being assessed, appropriate material, context, etc. for the assignment. Suggested reading will include book chapters, published articles, weblinks to companies and case studies, as appropraite, to the assignment brief. Each assignment brief will include marking/grading criteria so that participants have a clear understanding of what is required to pass the assessment and what is required to achieve higher grades. Grading of a participants assessment will be made using the pass, merit, distinction and fail criteria common to MQF/EQF Level 4 programmes of study.

Feedback will be provided to each student on their assessed work identifying both areas of strength and areas that could be improved. Where a fail grade is awarded the student will recieve detailed feedback on the reasons for awarding such a grade and the areas that would need to be addressed for improvement.

Admission Process

How to Apply

Complete the online application form.
Submit required documents (transcripts, ID, English proficiency proof).
Attend an interview.
Receive an offer letter.
Make payment to secure your place.
Begin your studies.

MFHEA Approved and Accredited

Our BSc(Hons) Computer Science and Information Technology is assessed and accredited by the Malta Further and Higher Education Authority (MFHEA) and aligned with the Malta Qualifications Framework (MQF)

What doors will this open

An honours degree in computer science and information technology opens up a wide array ofcareer opportunities in private, public and not-for-profit sectors. Some of the job opportunitiesthat this programme offers include the following:

Software Developer/Engineer
Systems Analyst
Network Administrator/Engineer
Database Administrator
Cybersecurity Analyst/Engineer
IT Consultant
Web Developer/Designer
IT Project Manager
Data Scientist
Cloud Engineer
AI/Machine Learning Engineer