Course MSc Artificial Intelligence 12 months Online

Wednesday, 11 February 2026 12:44:08

International Students can apply

Apply Now     Viewbook

Course MSc Artificial Intelligence 12 months Online

Overview

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

Developed for working professionals and individuals looking to upskill, this 12-month online course covers the fundamentals of AI, machine learning, and data science.

Learn from industry experts and apply theoretical concepts to real-world projects, gaining hands-on experience with tools like Python, R, and TensorFlow.

Expand your knowledge in areas like natural language processing, computer vision, and robotics, and prepare for a career in AI research, development, or consulting.

Take the first step towards a career in Artificial Intelligence and explore this program further to discover how you can transform your career and the world around you.

Artificial Intelligence is revolutionizing industries worldwide, and this 12-month online MSc course is your key to unlocking its potential. With AI at the forefront, you'll develop a deep understanding of machine learning, natural language processing, and computer vision. Our course offers AI professionals and enthusiasts alike a comprehensive education, with AI-powered projects and a supportive online community. Upon completion, you'll be equipped with the skills to drive business growth, improve efficiency, and make data-driven decisions. Career prospects are vast, with AI professionals in high demand across industries. Join our AI community and start your journey today.

(15)

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, providing a solid foundation for further study. •
Deep Learning: This unit delves into the world of deep learning, exploring the architecture and applications of neural networks, convolutional neural networks, recurrent neural networks, and long short-term memory (LSTM) networks. It covers the key concepts, techniques, and tools used in deep learning, including TensorFlow and PyTorch. •
Natural Language Processing (NLP): This unit focuses on the intersection of artificial intelligence and linguistics, covering the basics of NLP, including text preprocessing, sentiment analysis, named entity recognition, and machine translation. It explores the applications of NLP in areas such as chatbots, virtual assistants, and language translation. •
Computer Vision: This unit explores the field of computer vision, covering the basics of image processing, object detection, segmentation, and recognition. It delves into the applications of computer vision in areas such as self-driving cars, facial recognition, and medical imaging. •
Reinforcement Learning: This unit introduces the concept of reinforcement learning, where an agent learns to make decisions in an environment to maximize a reward. It covers the key concepts, algorithms, and techniques used in reinforcement learning, including Q-learning, SARSA, and deep Q-networks. •
Artificial Neural Networks: This unit provides a comprehensive introduction to artificial neural networks, covering the basics of neural networks, including feedforward networks, convolutional neural networks, and recurrent neural networks. It explores the applications of neural networks in areas such as image recognition, speech recognition, and natural language processing. •
Transfer Learning: This unit explores the concept of transfer learning, where a pre-trained model is fine-tuned for a new task. It covers the key concepts, techniques, and tools used in transfer learning, including pre-trained models, feature extraction, and domain adaptation. •
Ethics in AI: This unit examines the ethical implications of artificial intelligence, covering topics such as bias, fairness, transparency, and accountability. It explores the applications of AI in areas such as healthcare, finance, and education, and discusses the challenges and opportunities of AI in society. •
Human-Computer Interaction: This unit focuses on the design and development of user interfaces, covering the basics of human-computer interaction, including user experience, user interface design, and human factors. It explores the applications of human-computer interaction in areas such as gaming, education, and healthcare. •
AI for Business: This unit provides an introduction to the applications of artificial intelligence in business, covering topics such as predictive analytics, process automation, and decision-making. It explores the benefits and challenges of AI in business, and discusses the role of AI in driving innovation and growth.

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

Role Salary Range (£) Job Market Trend (%)
Artificial Intelligence/Machine Learning Engineer £80,000 - £110,000 25%
Data Scientist £90,000 - £120,000 30%
Business Intelligence Developer £70,000 - £100,000 20%
Quantum Computing Specialist £100,000 - £150,000 15%
Robotics Engineer £60,000 - £90,000 18%
Computer Vision Engineer £85,000 - £115,000 22%
Natural Language Processing Specialist £95,000 - £130,000 28%
Expert System Developer £75,000 - £110,000 25%
Machine Learning Researcher £110,000 - £150,000 35%
Ai Ethics Specialist £90,000 - £130,000 32%

Key facts about Course MSc Artificial Intelligence 12 months Online

The MSc Artificial Intelligence 12 months Online 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 the ability to apply machine learning algorithms, understand the principles of deep learning, and develop intelligent systems that can learn from data.

The course duration is 12 months, with students completing 12 modules over the period. This allows for a structured learning experience with regular assessments and support from experienced tutors.

The course is highly relevant to the industry, with many graduates going on to secure roles in AI and related fields such as data science, machine learning engineering, and business intelligence.

Industry relevance is further enhanced by the course's focus on practical applications, with students working on real-world projects and case studies throughout the program.

Upon completion of the course, students will have the skills and knowledge required to work with AI technologies, including natural language processing, computer vision, and robotics.

The course is designed to be flexible, with online learning allowing students to study at their own pace and on their own schedule. This makes it ideal for those who need to balance work and study commitments.

Graduates of the course can expect to earn a salary range of £40,000-£70,000 per annum, with many going on to secure senior roles in AI and related fields.

Why this course?

Artificial Intelligence is a rapidly growing field with immense potential in today's market. According to Google Charts 3D Column Chart, the UK's AI market is expected to reach **£4.1 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 4.1
The UK's AI market is driven by the increasing demand for **machine learning**, **natural language processing**, and **computer vision**. The online MSc Artificial Intelligence course is well-suited to meet the industry's needs, providing learners with the skills and knowledge required to succeed in this field. With the rise of **Industry 4.0**, AI is becoming increasingly important in various sectors, including healthcare, finance, and transportation. The online course offers flexibility and accessibility, making it an attractive option for professionals looking to upskill or reskill in AI.

Who should enrol in Course MSc Artificial Intelligence 12 months Online?

Ideal Audience for MSc Artificial Intelligence The Course MSc Artificial Intelligence 12 months Online is designed for individuals with a strong foundation in mathematics and computer science, particularly those with a degree in a related field such as computer science, mathematics, physics, or engineering.
Career Background Professionals with 2+ years of experience in fields like data science, software development, or research can benefit from this course, as well as those looking to transition into AI-related roles. In the UK, the AI sector is expected to grow by 25% by 2025, with over 60,000 new jobs created annually.
Academic Background The course is designed for those with a bachelor's degree in a relevant field, with a strong understanding of programming languages such as Python, Java, or C++. A minimum of 2:1 honors degree is typically required, with some exceptions for applicants with relevant work experience.
Skills and Knowledge Applicants should have a solid understanding of mathematical concepts such as linear algebra, calculus, and probability, as well as programming skills in languages like Python, R, or Julia. Familiarity with machine learning frameworks like TensorFlow or PyTorch is also beneficial.