MSc Artificial Intelligence Fee

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MSc Artificial Intelligence Fee

Overview

MSc Artificial Intelligence Fee is not a course. You study the MSc Artificial Intelligence course to master machine learning and neural networks. This Level 7 qualification suits UK graduates seeking high-tech careers.

Level: 7
Duration: 12 months
Mode: Online

You build practical skills through project-based assessments. The curriculum covers core technical and ethical areas.

  • Machine Learning
  • Data Analytics
  • Neural Networks
  • Natural Language Processing
  • Ethics in AI
  • AI Project

Tutors guide you through complex algorithms. You apply theory to real-world datasets.

This programme is delivered by a UK Ofqual-regulated awarding organisation. Expert industry tutors provide dedicated online support. Graduates progress to PhD Artificial Intelligence or enter the workforce.

Common career paths include:

  • Data Scientist
  • ML Engineer
  • AI Consultant

Employers value this recognised master’s degree. It proves your technical competence. The MSc Artificial Intelligence online format fits busy schedules. Students gain competitive advantages in the digital economy. You develop critical thinking for complex problems. The course prepares you for senior technical roles. Career changers benefit from structured learning paths. IT professionals update their skills efficiently.

Invest in your future with this rigorous qualification. Check the entry requirements today.

This MSc Artificial Intelligence course provides UK graduates with advanced technical skills in machine learning, neural networks and data analytics for high-demand tech roles.

Level7
Durationtypically 12 months full-time
Study mode100% online with tutor support
Assessmentessays, technical projects and dissertation
Entry requirementsrelevant bachelor’s degree
Awarding bodyUK Ofqual-regulated awarding organisation

What You Will Learn

This master’s programme builds practical competence in modern AI systems. You will learn to design, train and evaluate models that solve real-world business problems. The curriculum bridges theoretical computer science with applied engineering techniques.

  • Apply supervised and unsupervised machine learning algorithms
  • Build and optimise deep neural network architectures
  • Process and interpret complex unstructured data sets
  • Implement natural language processing for text analysis
  • Evaluate AI systems against ethical and regulatory standards
  • Manage end-to-end AI projects from concept to deployment

Course Structure and Modules

The syllabus follows a logical progression from foundational concepts to specialisation. Core units ensure you grasp the mathematical underpinnings of intelligent systems before applying them. You will complete a substantial independent research project in your final term.

  • Machine Learning
  • Data Analytics
  • Neural Networks
  • Natural Language Processing
  • Ethics in Artificial Intelligence
  • Capstone AI Project

Delivery and Duration

The 100% online format allows you to study alongside professional commitments. You will access recorded lectures, live seminars and digital resources through a dedicated virtual learning environment. Dedicated tutors provide regular feedback and academic guidance throughout the year. The full-time route typically concludes in twelve months, accelerating your entry into senior technical roles.

Assessment

Your progress is measured through a balanced mix of practical and theoretical tasks. This approach mirrors the diverse responsibilities of professional AI developers. You must demonstrate both technical precision and critical analytical thinking.

  • Technical programming projects
  • Critical essays on AI governance
  • Independent research dissertation
  • Peer-reviewed system designs

Entry Requirements

We seek candidates with a strong academic foundation and genuine interest in technology. You must hold a relevant bachelor’s degree in computer science, mathematics, engineering or a cognate field. Professional experience in IT or data analysis may also be considered for non-graduate applicants.

Progression

Graduates secure employment in technology hubs across London, Manchester and Edinburgh. You will be prepared for senior positions that require both coding proficiency and strategic insight. Further academic study remains a viable option for research-focused individuals.

  • Data Scientist
  • Machine Learning Engineer
  • AI Consultant
  • PhD Artificial Intelligence

Is MSc Artificial Intelligence recognised in the UK?

Yes, this qualification is awarded by a UK Ofqual-regulated organisation. It holds the same status as degrees from traditional brick-and-mortar universities.

Explore detailed course insights and module breakdowns below.

Where the learning focuses
Relative emphasis across the MSc Artificial Intelligence Fee programme (indicative score out of 100)
Applied practical skills
84
Professional practice
81
Career readiness
63
Core subject knowledge
56
Analysis and research
55
Leadership and communication
55
What graduates typically go on to do
Indicative share of learners by next step after completing the course
Progress into a senior role
73%
Further study or research
66%
Specialist or consultant role
61%
Start or grow a business
59%
Move into a new sector
31%

Figures are indicative and shown for illustration. Source: LSIB course insights.

(84)

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: 2025 MSc Artificial Intelligence Fee course
  • Machine Learning: Build predictive models using Python algorithms
  • Data Analytics: Transform raw datasets into actionable business insights
  • Neural Networks: Design deep learning architectures for complex data tasks
  • Natural Language Processing: Enable computers to understand human language structures
  • Ethics in AI: Apply responsible frameworks to mitigate algorithmic bias risks
  • Capstone Dissertation: Execute independent research demonstrating advanced technical competency

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:

6 months: GBP £1250
9 months: GBP £950
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

6 months - GBP £1250

9 months - GBP £950

Our course fee is up to 40% cheaper than most universities and colleges.

Apply Now

Accreditation

Awarded by an OfQual regulated awarding body

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

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

An MSc Artificial Intelligence course UK graduates typically pursue roles as Data Scientist, Machine Learning Engineer or AI Consultant. These positions sit at the heart of the technology and financial services sectors, driving innovation and efficiency. Graduates build advanced technical skills that employers actively seek.

Roles you could step into

  • Data Scientist — analyse complex datasets to uncover strategic business insights.
  • Machine Learning Engineer — design and deploy robust predictive algorithmic models.
  • AI Consultant — advise organisations on ethical artificial intelligence implementation strategies.
  • Research Scientist — conduct advanced studies in neural networks and cognitive systems.
  • Product Manager — lead the development of intelligent software solutions for markets.

Where you could work

Technology firms, investment banks, healthcare providers, automotive manufacturers and government agencies employ these specialists. The demand for artificial intelligence expertise crosses industry boundaries, offering diverse opportunities for career changers and IT professionals alike.

How your career can grow

  • First role: join as a Junior Data Analyst or Research Assistant.
  • Within a few years: progress to Senior Engineer or Team Lead positions.
  • Senior level: become Head of AI or Chief Data Officer.

Many professionals also pursue a PhD in Artificial Intelligence to specialise further in academic research. The typical study duration is twelve months full-time, allowing a quick return to the workforce. This master’s level qualification provides a recognised pathway into high-growth tech roles.

Is this MSc recognised by UK employers?

Yes, this Level 7 qualification meets industry standards for technical roles.

Explore our course details to begin your specialist career today.

Key facts about MSc Artificial Intelligence Fee

An MSc in Artificial Intelligence builds advanced technical skills for data science and AI consulting roles at Level 7 through online study.
Course: MSc Artificial Intelligence Fee
Level: Level 7 Master’s degree
Duration: typically 12 months full-time
Study mode: 100% online with tutor support
Assessment: essays, technical projects and dissertation
Entry: relevant bachelor’s degree
Awarding: UK Ofqual-regulated awarding organisation
Progression: PhD Artificial Intelligence, Data Scientist, ML Engineer

Why this course?

The MSc Artificial Intelligence course delivers a Level 7 UK master’s degree online in twelve months. It equips graduates with expert AI skills for senior tech roles.

Course Overview

Level: Level 7
Duration: 12 months full-time
Mode: 100% online

Why study this qualification

  • Expert tutor support — Get guidance from industry professionals throughout your modules.
  • Flexible online learning — Study core units from anywhere without campus visits.
  • Practical assessment focus — Prove skills via projects and a dissertation.
  • Recognised UK award — Earn an Ofqual-regulated qualification valued by employers.
  • Clear career progression — Prepare for roles like Machine Learning Engineer.
  • Essential core units — Master Neural Networks and Ethics in AI.

Is MSc Artificial Intelligence Fee worth it

The investment builds verified technical competence in machine learning and data analytics. Employers seek candidates who understand both the code and the ethical implications. This course provides that balanced, job-ready expertise directly.

Career Progression

Graduates often progress to PhD Artificial Intelligence or secure industry positions. Typical job titles include Data Scientist and AI Consultant. These roles require the advanced analytical skills this degree provides. The curriculum bridges academic theory with practical application effectively.

Take the next step in your AI career today.

Who should enrol in MSc Artificial Intelligence Fee?

The MSc Artificial Intelligence Fee course is designed for graduates and IT professionals seeking advanced expertise in machine learning and data analytics at RQF Level 7.

Who should study MSc Artificial Intelligence Fee

  • Software engineers looking to specialise in neural networks and natural language processing.
  • Data analysts aiming to transition into machine learning engineering roles.
  • Business graduates seeking to master AI ethics and strategic implementation.
  • Career changers wanting to build technical skills for data science careers.
  • Researchers preparing for PhD studies in artificial intelligence systems.
  • Consultants needing deep knowledge of AI project management and delivery.

Not suitable for those without a relevant bachelor degree or basic programming familiarity.

Verify your entry requirements and career goals before applying to ensure this master degree aligns with your professional path.