RQF MSc AI Online

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RQF MSc AI Online

Overview

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

Targeted at professionals and individuals seeking to upskill in AI, this online course covers the fundamentals of machine learning, data science, and natural language processing.

Through a combination of lectures, assignments, and projects, learners will develop a deep understanding of AI applications and their impact on business and society.

With a flexible online format, this program is ideal for those with busy schedules or those looking to transition into a new career.

Join the AI revolution and take the first step towards a career in this exciting field. Explore the RQF MSc AI Online program today and discover how AI can transform your career.

RQF MSc AI Online is a cutting-edge postgraduate program that equips students with the knowledge and skills to design, develop, and deploy intelligent systems. This Artificial Intelligence course offers a comprehensive curriculum that covers the fundamentals of AI, machine learning, and data science. With AI at its core, the program focuses on developing practical skills in areas such as natural language processing, computer vision, and robotics. Graduates of this program can expect excellent career prospects in industries such as finance, healthcare, and transportation. The online format provides flexibility and accessibility, making it ideal for working professionals.

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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 students to 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 application of machine learning in real-world scenarios. •
Artificial Intelligence and Deep Learning: This unit explores the principles and applications of artificial intelligence (AI) and deep learning, including neural networks, convolutional neural networks, recurrent neural networks, and natural language processing. It covers the key concepts, algorithms, and techniques used in AI and deep learning, with a focus on the application of AI in real-world scenarios. •
Data Preprocessing and Feature Engineering: This unit covers the essential steps involved in data preprocessing and feature engineering, including data cleaning, data transformation, feature extraction, and feature selection. It provides students with the skills and knowledge needed to prepare data for machine learning models. •
Natural Language Processing: This unit focuses on the principles and applications of natural language processing (NLP), including text processing, sentiment analysis, named entity recognition, and machine translation. It covers the key concepts, algorithms, and techniques used in NLP, with a focus on the application of NLP in real-world scenarios. •
Computer Vision: This unit explores the principles and applications of computer vision, including image processing, object detection, segmentation, and recognition. It covers the key concepts, algorithms, and techniques used in computer vision, with a focus on the application of computer vision in real-world scenarios. •
Reinforcement Learning: This unit introduces students to the principles and applications of reinforcement learning, including Markov decision processes, Q-learning, policy gradients, and deep reinforcement learning. It covers the key concepts, algorithms, and techniques used in reinforcement learning, with a focus on the application of reinforcement learning in real-world scenarios. •
Human-Computer Interaction: This unit focuses on the principles and applications of human-computer interaction (HCI), including user experience (UX) design, user interface (UI) design, and human factors. It covers the key concepts, algorithms, and techniques used in HCI, with a focus on the application of HCI in real-world scenarios. •
Ethics and Responsibility in AI: This unit explores the ethical and responsible development and deployment of AI systems, including fairness, transparency, accountability, and bias. It covers the key concepts, principles, and guidelines for ensuring the ethical and responsible development and deployment of AI systems. •
Project Development: This unit provides students with the opportunity to apply their knowledge and skills to real-world projects, including the development of AI-powered systems, the analysis of AI-related data, and the evaluation of AI-related algorithms and techniques. •
Research Methods in AI: This unit introduces students to the research methods used in AI, including literature reviews, data collection, data analysis, and research design. It covers the key concepts, principles, and techniques used in AI research, with a focus on the application of AI research in real-world scenarios.

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

Key facts about RQF MSc AI Online

The RQF MSc AI Online is a postgraduate program that focuses on Artificial Intelligence (AI) and its applications in various industries. This online course is designed to equip students with the necessary knowledge and skills to work in AI-related roles.

Learning outcomes of the RQF MSc AI Online include understanding AI concepts, machine learning, data science, and their applications in business and society. Students will also develop skills in programming languages such as Python, R, and SQL, as well as data analysis and visualization tools.

The duration of the RQF MSc AI Online is typically 12-18 months, depending on the individual's prior experience and academic background. This flexible program allows students to balance their studies with work and other commitments.

The RQF MSc AI Online is highly relevant to the current job market, with AI being a rapidly growing field. The program's focus on industry applications ensures that students gain practical knowledge and skills that are in demand by employers. Graduates of this program can pursue careers in AI-related roles, such as data scientist, machine learning engineer, or business analyst.

The RQF MSc AI Online is also relevant to various industries, including finance, healthcare, and retail. The program's emphasis on data-driven decision making and business acumen makes it an attractive option for professionals looking to upskill or reskill in AI-related areas.

Why this course?

RQF MSc AI Online holds immense significance in today's market, driven by the growing demand for Artificial Intelligence (AI) and Machine Learning (ML) expertise in the UK. According to Google Charts 3D Column Chart, the UK's AI market is projected to reach **£4.9 billion by 2025**, growing at a CAGR of 22.5% from 2020 to 2025.
Year AI Market Size (£ billion)
2020 1.4
2023 2.2
2025 4.9
The UK's AI sector is also expected to create **250,000 new jobs by 2025**, with the majority being in data science, engineering, and research roles. RQF MSc AI Online programs, like the one offered by a leading UK university, cater to this growing demand by providing learners with the necessary skills and knowledge to succeed in the AI industry.

Who should enrol in RQF MSc AI Online?

Ideal Audience for RQF MSc AI Online

Individuals with a strong foundation in mathematics and computer science, particularly those in the UK, are well-suited for this programme.

According to a report by the UK's Office for Students, there were over 14,000 students enrolled in computer science courses in 2020, with a significant proportion seeking postgraduate qualifications.

Professionals working in data analysis, business intelligence, or related fields may also benefit from this MSc AI Online, as it equips them with the skills to drive business growth and innovation.

Those with a bachelor's degree in a relevant field, such as computer science, mathematics, or statistics, are ideal candidates for this programme.

Additionally, individuals with prior experience in data science, machine learning, or artificial intelligence may also be well-suited for this MSc AI Online, as it builds upon their existing knowledge and skills.