BSc (Hons) Computer Science (Top-Up) - London Metropolitan University, UK
Dubai, United Arab Emirates
DURATION
12 Months
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Jun 2025
TUITION FEES
GBP 5,280
STUDY FORMAT
Blended
Introduction
In the heart of London at London Metropolitan University, UK, our 'BSc (Hons) Computer Science (Top-Up)' program acknowledges the crucial and rapidly evolving nature of computer science. This field profoundly impacts various aspects of modern society, serving as a fundamental discipline that underpins technological progress. Through our program, individuals and societies are equipped with tools to tackle complex challenges and improve the quality of life. As the world becomes increasingly digitized, the importance of computer science will only continue to grow.
What’s Happening?
Computer science is a crucial and rapidly evolving field that has a profound impact on various aspects of modern society. Computer science is a fundamental discipline that underpins technological progress and empowers individuals and societies with tools to tackle complex challenges and improve the quality of life. As the world becomes increasingly digitized, the importance of computer science will only continue to grow.
Computer science graduates have a wide range of job opportunities across various industries. Computer science professionals typically receive competitive salaries due to the high demand for their skills and expertise. Are you ready for this interesting opportunity?
This Bachelor of Science will teach you everything you need for a successful career in computing from programming and information systems to modules in mobile applications and artificial intelligence. Studying computer science at a university in the heart of London, one of the world’s leading technological hubs, your degree will have global recognition, and you’ll have access to cutting-edge knowledge and state-of-the-art resources. With London Met, you will study the full program that is offered at the University in London, with 100% of content and qualification coming directly from the University. Created specifically to enhance your employability, you’ll develop your skills, and gain experience working on real-life projects connected to business and industry.
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Curriculum
Artificial Intelligence and Machine Learning - 15 Credits
- This module covers fundamental AI and machine learning principles, addressing problem-solving, knowledge representation, reasoning, and machine learning.
Career Development Learning - 15 Credits
- This module helps level 6 students engage in a brief professional activity linked to their course. Activities include training, volunteering, placements, research, or entrepreneurship, requiring prior approval. It aims to provide practical experience, enhance skills, encourage networking, and apply learning through a structured plan.
Formal Languages - 15 Credits
- This module introduces finite automata as abstract models for computers, teaching students in math and computing about computational device capabilities, limits, compiler design, mathematical models, expressive power, decision problems, and unsolvability in computer science.
Mobile Applications - 15 Credits
- This module teaches mobile programming for resource-limited devices, covering theory, protocols, and frameworks. Students gain practical skills in app development, wireless services, and the mobile internet, enhancing employability through industrial-standard technologies.
Distributed, Cloud, and IoT Systems - 30 Credits
- This module imparts students with expertise in building diverse data processing systems, spanning desktop, mobile, web, cloud, and edge platforms. It covers contemporary principles, models, and tools for distributed, parallel, and embedded systems, incorporating recent advancements in software development and infrastructure.
Project - 30 Credits
- This module guides students in systematic project investigation aligned with course needs. It encompasses diverse analyses, leading to an academic or industry-focused report. Projects can involve real-world artifacts, innovation, and external collaboration.