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.
MSC APPLIED AI AND MACHINE LEARNING
Students in the “STEM” fields, computer science and software engineering, or experienced testers and developers are welcome to take this course. AI will have no limits. AI is changing how we live, and AI careers are future-proof.
This rapidly growing field will dominate technology’s future. AI engineers develop self-running computers that learn how to recommend searches, translate apps and chatbots, and drive self-driving cars. In this field, they design machine learning systems, apply algorithms, and solve problems with data sets.
The AI engineers specialise in Machine Learning, which is based on algorithms and decision trees. This conversion course is recommended if you are interested in Artificial Intelligence (AI), but don’t have a computer science background. It covers the foundations of computer science and the specialised knowledge needed for an AI career.
The programme prepares you to apply your skills to a range of real-world challenges throughout the course, and upon completion, you will be ready to research, create, and implement technical solutions.
FULL-TIME
ON CAMPUS | BLENDED
12 MONTHS
Start Dates:
Jun 2025
October 2025
February 2026
PRICE:
Total: £11,836
(Pay £3,945 per semester)
PART-TIME
ON CAMPUS | BLENDED
PRICE:
Total: £11,836
(Pay £1,972 per semester)
24 MONTHS
Start Dates:
Jun 2025
October 2025
February 2026
ONLINE-LEARNING
FLEXIBLE
PRICE:
Total: £9,750
(Pay per module as £270.83 Per Five credits)
12-60 MONTHS
Start Dates:
Start Anytime
MODE OF STUDY
COURSE CONTENT
WHAT YOU WILL LEARN
This is a full-time degree, taught over one year. You will study state-of-the-art concepts in software engineering and will focus on the fundamental concepts and principles of systems analysis, design, implementation, and testing. The course focuses on the cost-effective development of high-quality software. You will also have an opportunity to improve your practical skills so that you can plan and conduct complex systems development projects to meet customer needs and integrate software solutions into an evolving business environment.
Software Engineering can be combined with management studies. This enables you to set your technical knowledge in a management context. It also enables you to work effectively with business managers to develop systems for business advantage. An understanding of the business and management context is a key skill employers look for and essential for those aiming to set up their own businesses.
The full MSc course consists of an induction programme, four taught modules, and a project dissertation. Please note that this is an indicative list of modules and is not intended as a definitive list.
CORE MODULES
| MODULE TITLE | LEARN MORE |
|---|---|
| INNOVATION AND EMERGING TECHNOLOGIES | LEARN MORE |
| ESSENTIAL CLOUD COMPUTING | LEARN MORE |
| SOFTWARE REQUIREMENTS MANAGEMENT | LEARN MORE |
| DEEP LEARNING | LEARN MORE |
| ESSENCE OF DATA | LEARN MORE |
| DIGITAL ACUMEN | LEARN MORE |
| APPLIED MACHINE LEARNING | LEARN MORE |
| OBJECT ORIENTED PROGRAMMING | LEARN MORE |
| MASTER'S FINAL PROJECT | LEARN MORE |
OPTIONAL MODULES
| MODULE TITLE | LEARN MORE |
|---|---|
| SPEECH PROCESSING | LEARN MORE |
| COMPUTER VISION WITH DEEP LEARNING | LEARN MORE |
| NATURAL LANGUAGE PROCESSING | LEARN MORE |
| SOFTWARE QA OVERVIEW | LEARN MORE |
| CONTINUOUS INTEGRATION AND DELIVERY | LEARN MORE |
| CLOUD-NATIVE DEVELOPMENT | LEARN MORE |
| DIGITAL DELIVERY MANAGEMENT | LEARN MORE |
| ADVANCED SOFTWARE DIAGNOSTICS AND DEBUGGING | LEARN MORE |
| SYSTEMS INTEGRATION | LEARN MORE |
| SOFTWARE PERFORMANCE OPTIMISATION | LEARN MORE |
| TEST-DRIVEN SOFTWARE DEVELOPMENT | LEARN MORE |
| AI APPLICATIONS: AREAS & USE CASES | LEARN MORE |
ENTRY REQUIREMENTS
The information above 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.
We have a strong and active industrial focus, which informs and directs all of our teachings.
Key skills are taught through lecturer-led sessions that typically involve a high proportion of hands-on, practical learning, using current commercial tools and techniques. You will be given a set of concepts and examples, and are then challenged with one or more problems to which you can apply your new skills.
You will often work in teams to apply your knowledge to achieve solutions to real-world problems in a project-based learning approach.
Ample time for mentoring is provided in the timetable, which complements the expected self-study that is required. Further learning and support are provided through Learning Central (Geeks’ Virtual Mentor) and students are also encouraged to engage with the local tech community through meetups and other networking events.
TEACHING & ASSESSMENT
PROGRAMME OUTCOMES
On successful completion of the programme, you will be able to demonstrate the following qualities:
KNOWLEDGE & UNDERSTANDING
A strong grasp of programming languages
Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture
Linear algebra, Calculus, and statistics
Understanding cloud platforms
Understanding of data structures, data modelling, and software architecture
ANALYTICAL & INTELLECTUAL
Superb analytical and problem-solving abilities
Review legal, ethical, and intellectual property issues.
Critical and analytical thinking
Analyse and benchmark machine learning solutions for integration into existing systems.
Identify business requirements and propose new artificial intelligence systems.
PROFESSIONAL & INTERPERSONAL
Creating and maintaining AI infrastructure
Documenting machine learning processes
Performing statistical analysis and using interpretation techniques to streamline organisational processes
Research and implement appropriate ML algorithms and tools.
Solving complex problems with multi-layered data sets, as well as optimising existing machine learning libraries and frameworks
Running tests, performing statistical analysis, and interpreting test results.
Transforming data science prototypes and applying appropriate ML algorithms and tools
TRANSFERABLE/KEY SKILLS
Building AI models with the help of machine learning algorithms to acquire valuable business insights
Developing ML algorithms to analyse huge volumes of historical data to make predictions
Developing, programming, and training networks to create AI models that solve complex tasks
Ensuring that algorithms generate accurate user recommendations
Natural Language Processing (NLP)
Neural network architectures
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions
There is an increase in the number of jobs related to machine learning and artificial intelligence, and jobs in these areas are available in a wide range of industries.
Industries already using AI and machine learning are healthcare, education, marketing, retail and eCommerce, financial services, public agencies, and nonprofits. Master’s degree holders are well-positioned to pursue advanced management and leadership roles in AI.
They can launch or enhance careers in artificial intelligence and data science. After completing your studies, you will be prepared to succeed in roles such as machine learning engineer, AI engineer, AI architect, business intelligence lead, AI analyst, AI researcher and analytics consultant, technology consultant, digital marketing analyst or digital insights manager, and many more. Additionally, you can also work in consulting or start your own tech company.
The following are the top companies currently hiring for AI: Amazon, NVIDIA, Microsoft, IBM, Accenture, Facebook, Intel, Samsung, Lenovo, Adobe, MoTek Technologies, Uber, PCO Innovation, Rakuten Marketing, and Wells Fargo.
CAREER PROSPECTS
FUNDING OPTIONS
PAY UPFRONT: £28,000
STUDENT LOAN: £21,000
PAY UPFRONT: £28,000
STUDENT LOAN: £21,000
PAY UPFRONT: £28,000
STUDENT LOAN: £21,000
PAY UPFRONT: £28,000
STUDENT LOAN: £21,000
PAY UPFRONT: £28,000
STUDENT LOAN: £21,000
PAY UPFRONT: £28,000
STUDENT LOAN: £21,000
PAY UPFRONT: £28,000
STUDENT LOAN: £21,000
PAY UPFRONT: £28,000
STUDENT LOAN: £21,000
ADMISSION
(ONLINE LEARNING)
(PREP AND TEST)
ADMISSION
AGREEMENT
HERE APPLY
VISA
(FULL-TIME)
THE OVERALL JOURNEY
International students should also budget for their immigration costs to come and settle in the UK just before their course begins.
RELOCATION AND MAINTENANCE
FAQs:
Is there an application fee to pay?
No.
What is the deadline for paying tuition?
Tuition fees are determined by the funding option(s) you select when applying for a course.
Upon accepting an admission offer, you will need to pay a deposit of 10% of the tuition fees within 20 days, along with signing the loan agreement (if applicable).
We will then issue the CAS to international students, so they can apply for their visas. Upon receiving your visa and enrolment, you must pay the balance of your fees within 10 days. You will be required to pay the total tuition fees less the loan minus the 10% deposit you have already made.
What is the payment method for my course?
Fees can be paid in several ways.
A) Using our e-Payment System, you can pay online. You can use any major credit card. Make sure to include your LSI student number, name, and date of birth when making payments to London School of Innovation.
B) Payment can be made by bank-to-bank transfer. Our bank details will be included in your offer of admission letter.
C)If your country has student recruitment agents, you can pay in your local currency. For more information, please contact us.
Is there any additional financial support available for students?
Please visit our SCHOLARSHIPS page for more information.
FAQs:
Is there an application fee to pay?
No.
Is a bank account necessary for student financial aid?
Yes, you will need a bank account since loan payments must be paid directly into an account in your name. Creating a student account is a good idea before you apply for student financing
Bank accounts are usually opened with the following documents:
A passport or driver’s license should be one of the forms of identification
Address proof, such as a utility bill or bank statement
Proof of student status, such as an acceptance letter from your higher education institute or an offer letter from UCAS.
Online applications for student bank accounts are now available from most banks, but you must still mail or bring supporting documents to your local branch. Photocopies are not acceptable, only originals.
What is the deadline for paying tuition?
Tuition fees are determined by the funding option(s) you select when applying for a course.
Upon accepting an admission offer, you will need to pay a deposit of 10% of the tuition fees within 20 days, along with signing the loan agreement (if applicable).
We will then issue the CAS to international students, so they can apply for their visas. Upon receiving your visa and enrolment, you must pay the balance of your fees within 10 days. You will be required to pay the total tuition fees less the loan minus the 10% deposit you have already made.
What is the payment method for my course?
Fees can be paid in several ways.
A) Using our e-Payment System, you can pay online. You can use any major credit card. Make sure to include your school student number, name, and date of birth when making payments to school.
B) Payment can be made by bank-to-bank transfer. Our bank details will be included in your offer of admission letter.
C)If your country has student recruitment agents, you can pay in your local currency. For more information, please contact us.
How much does it cost to live there?
Student spending averages £924 per month according to Save the Student’s National Student Money Survey 2022.
It is likely that this amount will have already increased by the time you begin your course. Bringing a family will also add expenses to your budget.
Do I have the option of working to cover my living expenses?
If you are an international student, you cannot work while studying. This is an intense programme and your coursework will need your full attention and time during the year-long programme.
Is there any additional financial support available for students?
Please visit our SCHOLARSHIPS page for more information.
ASK A QUESTION
HOW TO APPLY?
- 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!
