BSc Computing RQF level course

Wednesday, 17 December 2025 22:26:41

International Students can apply

Apply Now     Viewbook

BSc Computing RQF level course

Overview

BSc Computing

Our BSc Computing RQF level course is designed for aspiring IT professionals and career changers looking to develop a strong foundation in computer science.

Through a combination of theoretical and practical modules, you'll gain a deep understanding of computer systems, software development, and data analysis.

Learn to design, develop, and test software applications, as well as work with databases, networks, and cybersecurity.

Our course is perfect for those who want to pursue a career in IT and technology, or start their own tech business.

Take the first step towards a rewarding career in computing. Explore our BSc Computing RQF level course today and discover a world of possibilities.

BSc Computing is a comprehensive degree that offers a wide range of benefits, including a solid foundation in computer science, practical skills, and a strong understanding of software development. Students will gain hands-on experience with industry-standard tools and technologies, preparing them for a successful career in the field. With a focus on problem-solving and critical thinking, graduates will be equipped to tackle complex challenges and drive innovation. Career prospects are excellent, with opportunities in fields such as data science, artificial intelligence, and cybersecurity. A computing degree from our institution can lead to a rewarding and challenging career.

(3)

Entry requirements




International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

• Data Structures and Algorithms
This unit covers the fundamental concepts of data structures such as arrays, linked lists, stacks, and queues, as well as algorithms like sorting, searching, and graph traversal. It is essential for any computing course, as it lays the foundation for more advanced topics. • Computer Systems and Architecture
This unit explores the design and organization of computer systems, including hardware components, operating systems, and networking fundamentals. It is crucial for understanding how computers function and interact with users. • Software Engineering Principles
This unit introduces students to the principles of software engineering, including design patterns, testing, and maintenance. It is essential for developing well-structured and maintainable software applications. • Database Systems
This unit covers the fundamental concepts of database systems, including database design, normalization, and querying. It is critical for managing and storing data in a structured and efficient manner. • Web Development Fundamentals
This unit introduces students to the basics of web development, including HTML, CSS, and JavaScript. It is essential for building dynamic and interactive web applications. • Data Mining and Machine Learning
This unit explores the concepts of data mining and machine learning, including data preprocessing, clustering, and neural networks. It is crucial for extracting insights from large datasets and making informed decisions. • Cyber Security
This unit covers the fundamental concepts of cyber security, including threat analysis, risk management, and cryptography. It is essential for protecting computer systems and networks from unauthorized access. • Human-Computer Interaction
This unit explores the design and evaluation of user interfaces, including usability, accessibility, and human factors. It is critical for creating intuitive and user-friendly software applications. • Operating Systems
This unit covers the fundamental concepts of operating systems, including process management, memory management, and file systems. It is essential for understanding how operating systems interact with hardware and software components. • Information Systems and Management
This unit introduces students to the concepts of information systems, including information technology, business intelligence, and data analytics. It is crucial for understanding the role of technology in business and management.

Assessment

The assessment is done via submission of assignment. There are no written exams.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration

The programme is available in two duration modes:

:
:
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

-

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

Apply Now

Accreditation

Apply Now

  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
  • Apply Now
    •

Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about BSc Computing RQF level course

The BSc Computing RQF level course is a comprehensive degree program that equips students with the necessary skills and knowledge to succeed in the computing industry.

Learning outcomes of the course include the ability to design, develop, and test software applications, as well as understand the principles of computer systems, algorithms, and data structures.

The duration of the course is typically three years, with students progressing through a series of modules that cover topics such as computer networks, database systems, and human-computer interaction.

Industry relevance is a key aspect of the course, with students gaining practical experience through projects and internships with top companies and organizations.

Graduates of the BSc Computing RQF level course can pursue careers in software development, IT project management, data analysis, and cybersecurity, among other fields.

The course is designed to meet the needs of the modern computing industry, with a focus on developing skills in areas such as artificial intelligence, data science, and cloud computing.

Upon completion of the course, students are awarded a BSc degree and are eligible to register with the relevant professional bodies, such as the British Computer Society.

The course is accredited by the Quality Assurance Agency (QAA) and is recognized by employers across the UK and internationally.

Why this course?

BSc Computing RQF Level Course holds immense significance in today's market, driven by the increasing demand for skilled IT professionals. According to the UK's Office for National Statistics, the IT and technology sector is expected to grow by 13% by 2025, creating a vast array of job opportunities.
Year Job Vacancies
2020 444,000
2021 494,000
2022 555,000
2023 625,000
2024 700,000
Google Charts 3D Column Chart:

Who should enrol in BSc Computing RQF level course?

Ideal Audience for BSc Computing RQF Level Course
Individuals with a strong foundation in mathematics and computer science, such as: A-levels in Computer Science, Information Technology, or related subjects, with an average grade of C or above, is recommended. According to the Joint Council for Qualifications, in 2020, 14,440 students in England took A-levels in Computer Science, with a pass rate of 75.1%.
Those interested in pursuing a career in: IT, software development, data analysis, cybersecurity, or related fields, with a median salary of £30,000-£50,000 per annum in the UK, according to the Royal Society for Public Health.
Students who have completed a relevant foundation degree or diploma, such as: The BTEC Level 3 Diploma in Computing or a similar qualification, with a pass rate of 80-90% in the UK, according to the BTEC Qualifications and Credit Framework.
Individuals who want to: Develop their skills in programming languages, data structures, algorithms, and software engineering, with a focus on practical applications and industry-relevant projects.