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Master's

MSc Artificial Intelligence (Online)

University of Brigant

University of Brigant

Master's

MSc Artificial Intelligence (Online)

University of Brigant

University of Brigant (online)

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Tuition

Free (online)

Degree

M.Sc.

Delivery

Full-time · Online

Duration

2 years (24 mo)

Language & requirements

Taught in: English

Tuition fees

  • INTERNATIONALFree (online)

About University of Brigant

Historic UK university (founded 1883) with Edinburgh campus and tuition-free online degrees.

Overview

A rigorous artificial intelligence master's covering machine learning, deep learning, natural language processing, responsible AI and production systems engineering — for professionals building trustworthy intelligent products and research careers.

Delivered fully online with live seminars, recorded lectures, and tutor support.

**Award:** University of Brigant **Credits:** 36 | **Typical duration:** 2 years (24 months)

Course structure

3 terms · 11 modules · 36 credits

Term 1 — Foundations of Intelligent Systems

  • AI501·Mathematics & Probability for AI
    3 credits
  • AI502·Machine Learning Theory & Practice
    3 credits
  • AI503·Programming Intelligent Systems (Python)
    3 credits
  • AI504·Data Engineering for ML Pipelines
    3 credits

Term 2 — Advanced AI Methods

  • AI505·Deep Learning & Representation Learning
    3 credits
  • AI506·Natural Language Processing & Large Language Models
    3 credits
  • AI507·Computer Vision & Multimodal AI
    3 credits
  • AI508·Reinforcement Learning & Sequential Decision Making
    3 credits

Term 3 — Systems, Governance & Capstone

  • AI601·MLOps, Evaluation & Production AI Systems
    3 credits
  • AI602·Responsible AI, Safety & Governance
    3 credits
  • AI603·MSc Artificial Intelligence Capstone Project
    6 credits

Learning outcomes

  • Apply discipline-specific theory to complex professional problems
  • Design and execute research or applied projects to postgraduate standard
  • Communicate findings clearly to academic and industry audiences
  • Demonstrate ethical, inclusive practice in global workplaces

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