This page is for information about our future provision only. Currently, you cannot apply to enrol in our degree programmes which are subject to regulatory registration with the Office For Students.

AI and Machine Learning (MSc)

Artificial Intelligence is revolutionising industries and pushing the boundaries of innovation. From healthcare breakthroughs to financial transformations, machine learning is solving the toughest challenges of our time.

This programme empowers you to seize the full potential of AI. Through cutting-edge insights and practical tools, you will learn to create and scale intelligent systems that can redefine entire sectors and drive real impact. Whether you're a seasoned professional or ready to step into this game-changing field, it offers an inspiring journey into the heart of AI.

Master key concepts like neural networks and machine learning, and position yourself to lead in a world shaped by AI, ready to drive change with confidence and creativity.

AI and Machine Learning (MSc)

Mode of study

Start dates
Oct 2025 | Fex 2026
Attendance
Full-time
Duration
12 MONTHS
UK fees
£11,900
Overseas fees
£14,900
Location
On Campus | Blended
Start dates
Oct 2025 | Fex 2026
Attendance
Part-time
Duration
24 MONTHS
UK fees
£11,900
Overseas fees
£14,900
Location
On Campus | Blended
Start dates
27/11/2024
Attendance
Flexible
Duration
12 TO 60 MONTHS
UK fees
£11,900
Overseas fees
£14,900

What you will learn

In the age of automation, having a broad skill set is key to thriving. This course doesn't just cover theory; it equips you with practical skills you can use right away. You will learn to design machine learning models, handle complex data, and create AI systems that make autonomous decisions.

The curriculum ensures you build both technical know-how and strategic insight. You will sharpen your skills in Python, TensorFlow, and cloud computing, while also critically examining AI’s ethical challenges.

Collaboration is another core part of the programme, pushing you to team up with peers from varied backgrounds to tackle real-world issues. By the end, you will have the hands-on expertise to face any AI challenge head-on.

Content Structure

Semester 1

Advanced Leadership for Innovation (DA71)
Credits: 15
In today's tech-driven world, innovation leadership requires more than just vision—it demands strategic action. This module delves into the leadership essentials required to navigate and thrive in high-tech environments. You will be equipped...
Module poster
Interaction Design for User-Centred Systems (VS71)
Credits: 15
Effective digital experiences underpin the intersection of technology, psychology, and design. In this module, you will delve into the principles that transform digital systems into seamless extensions of their users' needs and behaviours. You will...
Module poster
Applied Machine Learning 1 (ML71)
Credits: 30
In the complex world of technology, understanding the foundational principles and advanced techniques of machine learning is crucial for driving innovation. With its vast array of methodologies, this module positions machine learning as a pivotal...
Module poster
AI in Business: Strategies and Implementation (MA71)
Credits: 15
This course will immerse you in the practical applications of AI across business functions and industries. You'll learn about foundational AI technologies such as machine learning, natural language processing, and computer vision and gain a solid...
Module poster

Semester 2

Advanced Computer Vision (CV72)
Credits: 30
Computer Vision is concerned with processing images with computers to understand images like human vision does. The computer vision system can output high-level information about the contents of an image, including detecting objects in a single...
Module poster
Deep Learning (DL71)
Credits: 30
Deep Learning is a subset of machine learning, where the algorithms are based on neural networks consisting of three to many layers. Usually, such networks are very large and can have more than a billion parameters that need to be learned. This has...
Module poster
LLM Engineering and Integration (LL71)
Credits: 30
Pre-trained language models offer remarkable capabilities, but real-world applications often demand tailored solutions within complex workflows. This module explores advanced engineering techniques to customise and integrate large language models...
Module poster

Semester 3

Master's Final Project (FP10)
Credits: 60
The Final Research Project is an opportunity for Level 7 students to demonstrate a high degree of autonomy by deeply combining the domain knowledge that they already have in their field with a review of the literature and existing methods, other...
Module poster

Semester 1

Advanced Leadership for Innovation (DA71)
Credits: 15
In today's tech-driven world, innovation leadership requires more than just vision—it demands strategic action. This module delves into the leadership essentials required to navigate and thrive in high-tech environments. You will be equipped...
Module poster
Interaction Design for User-Centred Systems (VS71)
Credits: 15
Effective digital experiences underpin the intersection of technology, psychology, and design. In this module, you will delve into the principles that transform digital systems into seamless extensions of their users' needs and behaviours. You will...
Module poster

Semester 2

Applied Machine Learning 1 (ML71)
Credits: 30
In the complex world of technology, understanding the foundational principles and advanced techniques of machine learning is crucial for driving innovation. With its vast array of methodologies, this module positions machine learning as a pivotal...
Module poster

Semester 3

AI in Business: Strategies and Implementation (MA71)
Credits: 15
This course will immerse you in the practical applications of AI across business functions and industries. You'll learn about foundational AI technologies such as machine learning, natural language processing, and computer vision and gain a solid...
Module poster
Advanced Computer Vision (CV72)
Credits: 30
Computer Vision is concerned with processing images with computers to understand images like human vision does. The computer vision system can output high-level information about the contents of an image, including detecting objects in a single...
Module poster

Semester 4

Deep Learning (DL71)
Credits: 30
Deep Learning is a subset of machine learning, where the algorithms are based on neural networks consisting of three to many layers. Usually, such networks are very large and can have more than a billion parameters that need to be learned. This has...
Module poster

Semester 5

LLM Engineering and Integration (LL71)
Credits: 30
Pre-trained language models offer remarkable capabilities, but real-world applications often demand tailored solutions within complex workflows. This module explores advanced engineering techniques to customise and integrate large language models...
Module poster

Semester 6

Master's Final Project (FP10)
Credits: 60
The Final Research Project is an opportunity for Level 7 students to demonstrate a high degree of autonomy by deeply combining the domain knowledge that they already have in their field with a review of the literature and existing methods, other...
Module poster

Entry requirements

The information below reflects the current course structure and module details. Updates may be made annually, and revised details will be published in the Programme Specifications ahead of each academic year. The regulations governing this course are available on our website.

Qualifications or experiences

Applicants must normally have an upper second-class (2.1) undergraduate honours degree or above in STEM (science, technology, engineering or math), Management/Business studies or have At least 4 years' commercial experience in a technical or managerial position involving intellectually challenging day-to-day tasks.

English language

In order to complete your programme successfully, it is critical to have a good command of English and be able to apply it in an academic environment. In order to begin your studies, you must have an overall score of 6 on the IELTS Academic test. You do not need IELTS if you study at an English-speaking university or are from one of the majority English-speaking countries.

Essential IT

Sometimes, for example, if you do not already have a qualification in IT, we may make a conditional offer to you, subject to successfully completing our online course for IT Foundation and Programming. This will be provided free of charge to qualifying applicants. Your success in this course will demonstrate your commitment and ability to learn advanced digital skills, leading to an unconditional offer.

Career prospect

Artificial intelligence is not just the future, it is the present. AI experts are in high demand, with businesses across the globe seeking leaders who understand the potential of this technology. Completing this course positions you at the forefront of this dynamic field.

Whether you are aiming to advance within your current organisation or seeking to pivot into a new sector, the opportunities are vast and growing.

From becoming a machine learning engineer or AI consultant to leading digital transformation projects, this course opens the door to a variety of career paths. You will be equipped to take on senior roles in tech companies, multinational corporations, and innovative startups. For those with an entrepreneurial spirit, the knowledge and skills you gain here can help you launch your own AI-driven ventures. This programme is not just about learning AI, it is about shaping the future of your career.

Why this course?

Real-World Application

AI's impact lies in its real-world applications. This course shifts AI and machine learning from theory to practice.

You will delve into how AI is reshaping industries like healthcare, finance, manufacturing, and transport. With hands-on experience, you will apply AI models to real business problems, learning the realities of implementation.

Through live case studies and simulations, you will grasp both the 'how' and the 'why' of AI. Whether improving supply chains, forecasting markets, or diagnosing illnesses, you will learn to deploy AI for real results. By the end, you won’t just understand AI—you will be ready to deliver impactful solutions across sectors.

Personal Growth

Learning AI is not just about technical expertise, it is about expanding how you think. This programme will challenge and inspire you, pushing you to solve complex problems with creativity and confidence.

You will sharpen your critical thinking, learn how to make data-driven decisions and develop the resilience needed to lead in a fast-paced, tech-driven world.

Beyond the technical skills, this course will help you grow as a leader. You will learn how to communicate complex ideas to both technical and non-technical audiences, positioning yourself as a trusted expert in any room.

The diverse perspectives you encounter during the programme will also enhance your ability to work in cross-functional teams and navigate the complexities of modern organisations. Completing this course will not just make you more skilled, it will make you more adaptable, confident, and ready for whatever comes next.

Your learning journey enhanced with AI

Virtual Private Tutor

Virtual Private Tutor

Experience the future of education today with our state-of-the-art AI-based teaching technology. No, it's not just an AI chatbot. It is your virtual tutor, guiding you through a personalised journey of hands-on learning.

Master the Theory, Personalised with AI

Master the Theory, Personalised with AI

Experience a learning journey tailored just for you. With AI, every lesson is customised to fit your pace and needs, making your education uniquely yours.

Real-World Case-Studies

Real-World Case-Studies

Get deeper through real-world insights. Immerse yourself in practical case studies that bring your learning to life. Understand complex concepts by seeing how they apply in actual scenarios, bridging the gap between theory and practice.

Discuss, Debate, and Learn

Discuss, Debate, and Learn

Engage in meaningful discussions with your peers as well as AI characters. Analyse case studies together, exchange perspectives, and gain a deeper understanding of how things work in the real world. Collaboration and debate drive home key insights, making your learning experience richer and more impactful.

Instant Assignment Feedback

Instant Assignment Feedback

Benefit from real-time AI feedback on your submitted assignments while you wait for teachers' review. Our cutting-edge AI technology provides instant insights, helping you track your progress and focus on areas for improvement, ensuring continuous growth.

Role-Play and Simulations with AI

Role-Play and Simulations with AI

Immerse yourself in lifelike scenarios powered by AI, with role-play exercises that put you in dynamic situations, allowing you to practice and hone your skills. Engage in realistic interactions that challenge your decision-making abilities, preparing you for real-world applications. This experiential learning approach ensures you build confidence and expertise in a safe, controlled environment.

Programme fees

Return On Investment

Average salaries (2024)

Director of AI Development (London) £95,000.00
Senior AI Specialist (London) £100,000.00
AI Product Manager ( London) £60,246.00
AI Architect (Mid-Level | London) £100,000.00
Lead AI Researcher (London) £82,500.00

Why London School of Innovation

Specialist: Tech and Innovation

As the UK's only higher-ed institution dedicated to tech, innovation and entrepreneurship, LSI optimises your path to mastery and confidence.

AI-Powered Teaching

Our pioneering AI platform redefines education, with a virtual private tutor leading you through a personalised, hands-on learning experience.

Uniquely Human: Personal Support

Instead of lectures, our pedagogy thrives on routine one-to-one sessions, because nothing can inspire quite like an authentic human connection.

Real Skills: Beyond Theory

Our courses go beyond theory and emphasise practical applications. Students are guided to apply knowledge and skills in realistic scenarios, providing them with knowhow directly applicable to their careers. 

Flexible Learning

Flexible education is in LSI's DNA. Our online learning caters to each student's pace and style. Attend live sessions in-person or remotely, or learn independently anytime, anywhere, using a laptop or smartphone.

Professional Networking

LSI fosters tomorrow's industry leaders. Your peers will be invaluable connections to have, not only for direct support and professional growth but also for enriching future collaborations.

FAQs

To apply for our academic programmes, you will need to use our online application system, the Admissions Portal. As part of your application, you will be required to upload relevant documents, including academic transcripts and personal statements. Under our Admissions Policy, your application will be assessed against the entry criteria.

An unconditional offer may be made if you meet all entry requirements for the programme. Accepting this offer constitutes a legally binding contract between you and the School, meaning you must adhere to the School's regulations and policies, pay tuition fees as scheduled, and complete registration and enrolment, subject to cancellation rights.

If you do not currently meet all entry requirements, you may receive a conditional offer. This offer will specify the conditions you must fulfil to secure your place, such as:

  • Pending qualifications: Completion of specific academic requirements.
  • English language proficiency: Requirements for international applicants.
  • Non-academic requirements: Such as completing a DBS check for certain programmes.

Once you meet all conditions outlined in your conditional offer and accept the offer, you will establish a legally binding contract with the School.

The contract encompasses important terms and conditions regarding your engagement with studies, programme changes, data protection, liability, and cancellation. A copy of the contract is available on our website for your reference.

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It is possible to apply for more than one programme at the School. We understand that prospective students may have diverse interests and career goals, and we encourage you to explore multiple options that align with your aspirations.

When applying for multiple programmes, you will need to submit a separate application for each one. Each application will be evaluated based on its own merits, adhering to our Admissions Policy. It’s important to ensure that you meet the entry requirements for each programme and to tailor your personal statement accordingly, highlighting why you are interested in each specific course.

Our Student Success Team is here to support you throughout this process. Should you have any questions or require guidance on your applications, feel free to reach out. We are committed to helping you find the right fit for your educational journey and to facilitating your path to success at the School.

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We recommend that all prospective students apply as soon as possible to secure their place in their desired programme. Each programme's prospectus and promotional materials outline specific start dates that align with our effective registration periods. By applying early, you ensure that you have ample time to meet any conditions of your offer and obtain your Confirmation of Acceptance for Studies (CAS) if required.

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Once you have submitted your application, you will be kept informed throughout the process. You can typically check the status of your application online through the Admissions Portal. Additionally, we will send you status update emails to keep you informed of any progress.

Once a decision has been made regarding your application, you will receive a formal notification via email. This will outline whether your application has been successful or if further information is required.

We understand that waiting for an application decision can be an anxious time, and our Student Success Team is available to answer any questions you may have during this process.

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Our Admissions Policy states that interviews may be required for certain applicants as part of the selection process. The necessity for an interview typically depends on individual circumstances, such as the applicant’s qualifications, experience, and the specific programme they are applying for.

Interviews serve as an opportunity for both the School and prospective students to engage in meaningful dialogue, allowing us to better understand your motivations, aspirations, and how you align with our values. Should an interview be required, our Student Success Team will inform you during the application review process and provide guidance on what to expect.

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Under our Admissions Policy, the School endeavours to provide constructive feedback to unsuccessful applicants, although this is subject to operational constraints. If you receive an unsuccessful outcome, we encourage you to reach out to our Student Success Team for insights on your application. This feedback can help you understand the reasons behind the decision and improve future applications.

Should you still have concerns after reviewing the feedback, you are entitled to submit a formal appeal in writing to the Director of Student Services. This appeal must be based on the original application to ensure fairness, as introducing new information could provide an unfair advantage. The Director of Student Services will carefully review your appeal and provide a formal response within 15 working days. It is important to note that the Director's decision is final.

This process reflects our commitment to transparency and fairness, allowing applicants to address any concerns about admission decisions.

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Once we receive your completed application, including references and supporting documents, we aim to complete the decision-making process within 8-weeks. However, this timeframe may vary during peak periods or if an interview is part of the selection process.

If you have applied for a specific funded opportunity, please note that decisions may take longer than usual. We encourage you to reach out to our Student Success Team if you have not received an update after 8-weeks or if you have any other questions regarding your application. Your journey to joining our School is important to us, and we appreciate your patience as we review your application.

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While a CV is not a mandatory requirement for your application, submitting one can provide a valuable overview of your educational background and work experience. Including a CV can help us better understand your qualifications and experiences, which may enhance your application. We focus on your academic achievements and personal statement as the primary components of your application. If you choose to include a CV, please ensure that it is relevant and highlights your skills and experiences that align with your chosen programme.

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While we understand that circumstances can sometimes prevent timely submissions, extensions for application deadlines are not guaranteed. Requests for extensions will be considered on a case-by-case basis, depending on the specific situation and the reasons provided.

To initiate this process, please contact our Student Success Team as soon as possible with a detailed explanation of your circumstances. We encourage prospective students to stay informed about application deadlines and to submit their applications promptly to ensure the best chance of a successful enrolment.

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If you find yourself needing to change your application after submission, you can easily request a modification by emailing our Student Success Team. In your message, please include essential details such as the programme you initially applied for and the new course you wish to consider.

We strive to accommodate all change requests, although approval may depend on the status of your application and the admission criteria at the time we receive your request. The team will assess your situation and guide you through the process.

Please be aware that any refunds related to your application will adhere to our Refunds and Compensation Policy. If you have any further questions or require assistance, do not hesitate to contact us.

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You can still submit your application even if you have not yet received all of your documents, such as your final transcript or Certificate of English Proficiency. In such cases, you will receive a conditional offer outlining the specific qualifications and grades you need to achieve in order to meet our entry requirements.

Once you have obtained the necessary evidence, you can easily upload it through the Admission Portal. Upon satisfying all the conditions stated in your conditional offer, you will then receive an unconditional offer, allowing you to proceed with your studies at our School.

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International applicants need to be mindful of specific conditions related to visa sponsorship. As our Visa Sponsorship and Confirmation of Acceptance for Studies (CAS) Policy explains, a CAS (Confirmation of Acceptance for Studies) will only be issued once certain requirements are met, such as fulfilling the terms of your offer, providing a deposit or proof of funding, and submitting the necessary documents. For full details, it's essential to review the additional regulatory context outlined by the UK Home Office - Study in the UK on a Student Visa. This sets out the requirements for international students coming to the UK under the Student Visa route.

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Register Your Interest

This page is for information about our future provision only. Currently, you cannot apply to enrol in our degree programmes which are subject to regulatory registration with the Office For Students.

  • Submit your free application: It takes less than five minutes. Three semesters are offered each year, and applications can be submitted according to the deadlines. To submit an application, click APPLY.
  • Provide documents: Your next step will be to submit your documents. You will be informed of which documents you need to submit by your Education Advisor.
  • Secure your place: You will be sent an offer letter from the London School of Innovation once you meet the admission requirements. To secure your spot, you must make a deposit within seven days. Simple as that!