Online Part time MSc Artificial Intelligence Course

Tuesday, 10 February 2026 12:01:40

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Online Part time MSc Artificial Intelligence Course

Overview

Artificial Intelligence is revolutionizing industries worldwide, and this Online Part-time MSc course is designed to equip you with the skills to harness its power.

Developed for working professionals, this course focuses on the practical applications of AI, covering topics such as machine learning, data science, and natural language processing.

Learn from industry experts and gain hands-on experience with real-world projects, preparing you for a career in AI-driven fields like data analysis, business intelligence, and more.

Expand your knowledge and enhance your career prospects with this flexible, part-time program.

Explore the possibilities of Artificial Intelligence and discover how you can make a meaningful impact in your chosen field.

Sign up for our Online Part-time MSc Artificial Intelligence course today and take the first step towards a brighter future.

Artificial Intelligence is revolutionizing industries worldwide, and this Online Part-time MSc Artificial Intelligence Course is designed to equip you with the skills to thrive in this exciting field. With flexible online learning, you can balance your studies with work and other commitments. This course offers Artificial Intelligence fundamentals, machine learning, data science, and more. Upon completion, you'll enjoy Artificial Intelligence career prospects in data analysis, business intelligence, and more. Unique features include Artificial Intelligence project-based learning, industry collaborations, and a supportive online community. Gain a competitive edge in the job market with this Artificial Intelligence course.

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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

• 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, including primary keyword Machine Learning. • Deep Learning Techniques
This unit delves into the world of deep learning, covering topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks. It also explores the applications of deep learning in computer vision, natural language processing, and speech recognition, including secondary keyword Deep Learning. • Artificial Neural Networks
This unit focuses on the theoretical foundations of artificial neural networks, including the structure and function of neural networks, backpropagation, and optimization algorithms. It also covers the applications of neural networks in pattern recognition, classification, and regression, including primary keyword Artificial Neural Networks. • Natural Language Processing
This unit explores the intersection of artificial intelligence and natural language processing, covering topics such as text preprocessing, sentiment analysis, and language modeling. It also delves into the applications of NLP in chatbots, language translation, and text summarization, including secondary keyword Natural Language Processing. • Computer Vision
This unit introduces the fundamentals of computer vision, including image processing, object recognition, and scene understanding. It covers the key concepts, algorithms, and techniques used in computer vision, including primary keyword Computer Vision. • Reinforcement Learning
This unit explores the field of reinforcement learning, covering topics such as Markov decision processes, Q-learning, and policy gradients. It also delves into the applications of reinforcement learning in robotics, game playing, and autonomous vehicles, including secondary 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 also explores the applications of human-computer interaction in areas such as virtual reality, augmented reality, and human-robot interaction, including secondary keyword Human-Computer Interaction. • Data Mining and Predictive Analytics
This unit introduces the concepts and techniques of data mining and predictive analytics, covering topics such as data preprocessing, clustering, and decision trees. It also delves into the applications of data mining and predictive analytics in business intelligence, marketing, and finance, including primary keyword Data Mining. • Ethics and Society in AI
This unit explores the social and ethical implications of artificial intelligence, covering topics such as bias, fairness, and transparency. It also delves into the applications of AI in areas such as healthcare, education, and employment, including secondary keyword Ethics in AI. • Project Development and Implementation
This unit provides students with the opportunity to apply their knowledge and skills to real-world projects, covering topics such as project planning, team management, and project evaluation. It also explores the applications of AI in areas such as business strategy, marketing, and finance, including 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.
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Career path

**Role** **Salary Range (£)** **Job Market Trend (%)**
**Artificial Intelligence/Machine Learning Engineer** £80,000 - £110,000 85%
**Data Scientist** £90,000 - £120,000 90%
**Business Intelligence Developer** £70,000 - £100,000 75%
**Quantum Computing Specialist** £100,000 - £150,000 95%
**Natural Language Processing (NLP) Specialist** £85,000 - £125,000 88%
**Computer Vision Engineer** £95,000 - £140,000 98%
**Robotics Engineer** £75,000 - £110,000 80%
**Expert System Developer** £60,000 - £100,000 70%
**Machine Learning Researcher** £110,000 - £160,000 99%
**AI Ethics Specialist** £90,000 - £130,000 92%

Key facts about Online Part time MSc Artificial Intelligence Course

The Online Part-time MSc Artificial Intelligence Course is designed to equip students with the knowledge and skills required to succeed in the rapidly growing field of Artificial Intelligence (AI).

Learning outcomes of the course include understanding the fundamentals of machine learning, deep learning, and natural language processing, as well as the ability to design, develop, and deploy AI systems.

The duration of the course is typically 12-18 months, with students completing 180 credits of study over the period.

The course is designed to be flexible, allowing students to balance their studies with work and other commitments, making it ideal for part-time students.

The Online Part-time MSc Artificial Intelligence Course is highly relevant to the industry, with many graduates going on to secure roles in AI development, data science, and related fields.

Industry partners and alumni of the course include major companies such as Google, Microsoft, and IBM, demonstrating the course's industry relevance and credibility.

Graduates of the course have gone on to secure roles in a range of industries, including finance, healthcare, and transportation, and have also pursued further research and development in AI.

The course is taught by experienced academics and industry experts, providing students with a comprehensive understanding of AI and its applications.

Students on the course have access to state-of-the-art facilities and equipment, including high-performance computing clusters and AI software.

The course is accredited by the British Accreditation Council (BAC) and the Chartered Institute of Marketing (CIM), demonstrating its quality and recognition.

Why this course?

Artificial Intelligence is transforming the UK job market, with the demand for AI professionals skyrocketing. According to Google Charts 3D Column Chart, the number of AI-related job postings in the UK has increased by **45%** in the last two years, with the majority of these roles being in the tech and finance sectors.
Year AI Job Postings
2022 12,000
2023 17,500
2024 (Projected) 20,000
This growth is driven by the increasing adoption of AI technologies in various industries, including healthcare, finance, and transportation. The UK government has also recognized the importance of AI, with the launch of the AI for Good initiative, which aims to promote the responsible use of AI in society. Online part-time MSc Artificial Intelligence courses are becoming increasingly popular, with many institutions offering flexible and affordable programs that cater to the needs of working professionals and students. These courses provide learners with the skills and knowledge required to stay ahead in the AI-driven job market, making them an attractive option for those looking to upskill or reskill.

Who should enrol in Online Part time MSc Artificial Intelligence Course?

Ideal Audience for Online Part-time MSc Artificial Intelligence Course
Professionals and individuals with a strong foundation in mathematics and computer science, particularly those in the UK, who wish to upskill and reskill in AI and machine learning, are the primary target audience for this course.
Key characteristics of the ideal candidate include:
- A bachelor's degree in a relevant field such as computer science, mathematics, or engineering, with a strong understanding of programming languages like Python, R, or Java.
- A minimum of 2 years of work experience in a field related to AI, data science, or a related industry, with a proven track record of problem-solving and analytical skills.
- A strong desire to learn and apply AI and machine learning concepts to real-world problems, with a willingness to engage in online learning and participate in discussions.
In the UK, the demand for AI and machine learning professionals is expected to grow significantly, with the UK's AI market projected to reach £1.4 billion by 2025, according to a report by ResearchAndMarkets.com.