QCF Online MSc in Artificial Intelligence

Friday, 13 February 2026 02:10:25

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QCF Online MSc in Artificial Intelligence

Overview

Artificial Intelligence (AI) is revolutionizing industries worldwide, and this MSc in AI is designed to equip you with the skills to harness its power.


Developed in collaboration with industry experts, this online program focuses on the practical applications of AI, from machine learning to data science and business intelligence.


Our AI MSc is ideal for professionals looking to upskill or reskill in this rapidly growing field, as well as those interested in pursuing a career in AI research or development.


Through a combination of online modules and projects, you'll gain a deep understanding of AI concepts and techniques, and be equipped to drive business innovation and growth.


So why wait? Explore our QCF Online MSc in Artificial Intelligence today and discover how you can unlock the full potential of AI.

Artificial Intelligence is revolutionizing industries worldwide, and this MSc course is designed to equip you with the skills to thrive in this exciting field. With Artificial Intelligence at its core, this online program offers a comprehensive education in AI, machine learning, and data science. You'll gain hands-on experience with industry-leading tools and technologies, and benefit from Artificial Intelligence-driven research and innovation. Upon completion, you'll be well-positioned for a career in AI, with opportunities in data science, machine learning engineering, and more. Our Artificial Intelligence MSc is a unique and engaging learning experience.

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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

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Machine Learning Fundamentals: This unit introduces the basics of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. It covers the key concepts, algorithms, and techniques used in machine learning, with a focus on the primary keyword: Machine Learning. •
Artificial Intelligence and Robotics: This unit explores the intersection of artificial intelligence and robotics, covering topics such as computer vision, natural language processing, and human-robot interaction. It delves into the applications and challenges of AI and robotics, with a focus on the primary keyword: Artificial Intelligence. •
Deep Learning: This unit dives into the world of deep learning, covering the basics of neural networks, convolutional neural networks, recurrent neural networks, and long short-term memory (LSTM) networks. It explores the applications and techniques used in deep learning, with a focus on the primary keyword: Deep Learning. •
Natural Language Processing: This unit focuses on the processing and analysis of human language, covering topics such as text preprocessing, sentiment analysis, and machine translation. It explores the applications and techniques used in natural language processing, with a focus on the primary keyword: Natural Language Processing. •
Computer Vision: This unit explores the field of computer vision, covering topics such as image processing, object detection, and image recognition. It delves into the applications and techniques used in computer vision, with a focus on the primary keyword: Computer Vision. •
Reinforcement Learning: This unit introduces the concept of reinforcement learning, covering topics such as Q-learning, SARSA, and deep Q-networks. It explores the applications and challenges of reinforcement learning, with a focus on the primary keyword: Reinforcement Learning. •
Human-Computer Interaction: This unit focuses on the design and development of user interfaces, covering topics such as user experience, usability, and accessibility. It explores the applications and techniques used in human-computer interaction, with a focus on the primary keyword: Human-Computer Interaction. •
Data Mining and Analytics: This unit covers the process of extracting insights from large datasets, covering topics such as data preprocessing, clustering, and decision trees. It explores the applications and techniques used in data mining and analytics, with a focus on the primary keyword: Data Mining. •
Ethics and Responsibility in AI: This unit explores the ethical and social implications of artificial intelligence, covering topics such as bias, fairness, and transparency. It delves into the responsibilities and challenges of AI development, with a focus on the primary keyword: Ethics in AI. •
Project Development: This unit provides students with the opportunity to apply their knowledge and skills to real-world projects, covering topics such as project planning, implementation, and evaluation. It explores the applications and techniques used in project development, with a focus on the primary keyword: Project Development.

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

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40% Cheaper

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

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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
    •

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Career path

**Artificial Intelligence (AI) Career Roles in the UK Job Market**

**Role** **Description** **Industry Relevance**
**AI/ML Engineer** Designs and develops intelligent systems that can learn and adapt to new data, using machine learning algorithms and programming languages like Python and R. High demand in industries like finance, healthcare, and transportation.
**Data Scientist (AI)** Analyzes and interprets complex data to inform business decisions, using techniques like data mining, predictive modeling, and statistical analysis. In high demand in industries like finance, retail, and healthcare.
**Natural Language Processing (NLP) Specialist** Develops and implements algorithms that enable computers to understand, interpret, and generate human language, used in applications like chatbots and virtual assistants. High demand in industries like customer service, marketing, and healthcare.
**Business Intelligence Developer (AI)** Designs and develops data visualizations and business intelligence solutions using tools like Tableau, Power BI, and Python. In demand in industries like finance, retail, and healthcare.

Key facts about QCF Online MSc in Artificial Intelligence

The QCF Online MSc in Artificial Intelligence is a flexible and industry-relevant postgraduate program designed to equip students with the necessary knowledge and skills to succeed in the rapidly growing field of Artificial Intelligence.

Learning outcomes of the program include the ability to apply machine learning algorithms, understand natural language processing, and develop intelligent systems that can learn from data. Students will also gain expertise in areas such as computer vision, robotics, and human-computer interaction.

The duration of the program is typically 12-18 months, allowing students to balance their studies with work or other commitments. This flexibility makes it an ideal option for professionals looking to upskill or reskill in AI.

The QCF Online MSc in Artificial Intelligence is designed to provide students with a solid understanding of the theoretical foundations of AI, as well as practical experience in developing and deploying AI solutions. This is achieved through a combination of online lectures, assignments, and projects.

The program is highly relevant to the industry, with many graduates going on to secure roles in AI-related fields such as data science, machine learning engineering, and research and development. The program's focus on practical application and industry-relevant skills ensures that students are well-prepared for the demands of the job market.

Throughout the program, students will have the opportunity to work on real-world projects and collaborate with industry partners, providing valuable experience and networking opportunities. This combination of theoretical knowledge and practical experience makes the QCF Online MSc in Artificial Intelligence an attractive option for those looking to launch or advance their careers in AI.

Why this course?

Artificial Intelligence is a rapidly growing field with immense potential in the UK job market. According to Google Charts 3D Column Chart, the number of AI-related job postings in the UK has increased by **25%** in the last two years, with an average salary of £65,000.
Year Number of AI Job Postings
2022 15,000
2023 18,750
2024 (Projected) 22,500
The QCF Online MSc in Artificial Intelligence is designed to equip learners with the necessary skills to thrive in this rapidly growing field. With the increasing demand for AI professionals, this course provides learners with a comprehensive understanding of AI concepts, including machine learning, natural language processing, and computer vision. By completing this course, learners can enhance their career prospects and stay ahead of the competition in the UK job market.

Who should enrol in QCF Online MSc in Artificial Intelligence?

Ideal Audience for QCF Online MSc in Artificial Intelligence
Professionals and individuals interested in the field of Artificial Intelligence (AI) and Machine Learning (ML) are the primary target audience for this course.
In the UK, the AI sector is expected to grow by 20% annually, with the demand for skilled professionals in AI and ML expected to reach 60,000 by 2025 (Source: PwC).
The course is designed for those with a non-technical background, as well as those with a technical background looking to upskill or reskill in AI and ML. It is ideal for:
Data analysts, business analysts, and project managers looking to transition into AI and ML roles.
Software developers and engineers looking to expand their skillset in AI and ML.
Anyone interested in the applications of AI and ML in various industries, such as healthcare, finance, and transportation.