QCF Level MSc Computer Science part time

Tuesday, 10 February 2026 23:00:48

International Students can apply

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QCF Level MSc Computer Science part time

Overview

QCF Level MSc Computer Science part time

Designed for working professionals seeking to advance their career in the field of computer science, this part-time program offers a comprehensive curriculum covering topics such as artificial intelligence, data analytics, and software engineering. Students will develop advanced technical skills and knowledge to excel in the rapidly evolving tech industry. With a focus on practical applications and real-world projects, graduates will be well-equipped to tackle complex challenges and drive innovation in their organizations. Join us on this exciting journey to enhance your expertise and propel your career to new heights.

Take the next step in your career - enroll now!

Embark on a transformative journey with our QCF Level MSc Computer Science part-time program. Designed for working professionals seeking to advance their careers in the ever-evolving tech industry, this course offers a perfect blend of theoretical knowledge and practical skills. With a focus on cutting-edge technologies such as artificial intelligence, machine learning, and cybersecurity, graduates are equipped to tackle complex challenges in the digital world. Our industry-relevant curriculum, taught by experienced faculty, ensures you stay ahead of the curve. Elevate your career prospects with this prestigious qualification and unlock a world of opportunities in software development, data analysis, and more. Apply now and take your first step towards a successful future in tech. (8)

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

• Advanced Algorithms and Data Structures
• Machine Learning and Artificial Intelligence
• Software Engineering Principles
• Cybersecurity and Information Assurance
• Cloud Computing Technologies
• Big Data Analytics
• Research Methods in Computer Science
• Internet of Things (IoT)
• Mobile Application Development
• Computer Networks and Communication Technologies

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:

6 months: GBP £1250
9 months: GBP £950
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

6 months - GBP £1250

9 months - GBP £950

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

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Accreditation

Awarded by an OfQual regulated awarding body

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  • 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

Career Opportunities for QCF Level MSc Computer Science Part Time | Role | Description | |------|-------------| | Software Developer | Develop and maintain software applications using programming languages such as Java, C++, or Python. Collaborate with cross-functional teams to design and implement solutions that meet client requirements. | | Data Analyst | Analyze and interpret complex data sets to provide insights and recommendations for business decision-making. Utilize statistical tools and techniques to identify trends and patterns in data. | | Cybersecurity Specialist | Protect computer systems and networks from cyber threats by implementing security measures and protocols. Conduct vulnerability assessments and respond to security incidents. | | IT Project Manager | Plan, execute, and oversee IT projects from initiation to completion, ensuring they are delivered on time and within budget. Coordinate resources, manage stakeholders, and mitigate risks throughout the project lifecycle. | | Machine Learning Engineer | Develop and deploy machine learning models to automate processes and improve decision-making. Utilize algorithms and data to train models and optimize performance. | | Network Administrator | Manage and maintain computer networks, including hardware, software, and security protocols. Troubleshoot network issues, monitor performance, and implement upgrades as needed. | | UX/UI Designer | Create user-friendly interfaces and experiences for websites and applications. Conduct user research, design wireframes and prototypes, and collaborate with developers to implement designs. |

Key facts about QCF Level MSc Computer Science part time

The QCF Level MSc Computer Science part-time program is designed to equip students with advanced knowledge and skills in the field of computer science. The learning outcomes include developing expertise in areas such as software development, artificial intelligence, data analytics, and cybersecurity.
The duration of the program typically ranges from 2 to 3 years, allowing working professionals to balance their studies with their career commitments. Students can expect to engage in a combination of lectures, practical sessions, and independent study to deepen their understanding of key concepts and technologies.
The industry relevance of the MSc Computer Science program is evident in its focus on cutting-edge technologies and industry trends. Graduates are well-prepared to pursue careers in various sectors, including software development, IT consulting, research, and academia. The program also emphasizes the development of critical thinking, problem-solving, and communication skills essential for success in the rapidly evolving field of computer science.

Why this course?

The QCF Level MSc Computer Science part-time program holds significant value in today's market, especially in the UK where the demand for skilled IT professionals continues to rise. According to recent statistics, the UK tech industry is growing at a rapid pace, with over 2.93 million people currently employed in the sector. This growth is fueled by advancements in technology and the increasing reliance on digital solutions across various industries. Completing a QCF Level MSc in Computer Science part-time not only equips individuals with advanced technical skills but also demonstrates a commitment to continuous learning and professional development. Employers are increasingly seeking candidates with specialized knowledge in areas such as artificial intelligence, cybersecurity, and data analytics, making this qualification highly sought after in the job market. By enrolling in this program, learners can stay ahead of industry trends and gain a competitive edge in the ever-evolving field of technology. The flexibility of a part-time study option allows professionals to balance their education with work commitments, making it a practical choice for those looking to upskill or transition into a new role within the tech sector.

Who should enrol in QCF Level MSc Computer Science part time?

The ideal audience for the QCF Level MSc Computer Science part-time program are working professionals in the UK who are looking to advance their careers in the field of technology.
With the demand for skilled computer scientists on the rise, this program is perfect for individuals who want to enhance their knowledge and skills while balancing work and study commitments.
Whether you are a software developer looking to specialize in a specific area or a project manager seeking to deepen your understanding of computer science principles, this program offers the flexibility and depth of study you need.
According to recent statistics, the average salary for computer science professionals in the UK is £50,000, making this program a valuable investment in your future earning potential.