MSc Artificial Intelligence

Program Overview

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MSc Artificial Intelligence

The MSc Artificial Intelligence (AI) course is tailored to the current challenges and the needs in AI, providing students with specialised knowledge and skills relevant to their career aspirations.

Programme Overview

Get a clear picture of what the MSc in Artificial Intelligence (AI) programme is all about and what you'll learn.

Programme Fee

See the breakdown of the programme fees to plan your investment.

Key Programme Information

Discover essential programme information, such as duration and admission requirements.

Entry Requirements

Discover the necessary qualifications and documents needed to apply.

Programme Structure

Explore the MSc Artificial Intelligence (AI) programme's structure, including the coursework and supplementary learning experiences.

What Will You Experience?

Students will experience a seamless blend of academic rigour with practical application, ensuring that students not only grasp theoretical concepts but also acquire the firsthand experience needed to excel in this thriving industry.

Why Study This Programme?

Studying the MSc Artificial Intelligence offers a unique opportunity to delve into the forefront of technological advancements, providing a solid foundation for a career in cutting-edge fields.

Who Should Take this Programme?

The MSc Artificial Intelligence is tailored for individuals passionate about shaping the future of technology and innovation.

Programme Fee

• Berlin: February, May, October
• 2025 February, May, October: International students Price: €13,250 | EU students Price: €8,450

Programme Structure

The majority of your work will be completed in groups and on-going support will be provided through the use of structured, targeted individual tutorials and online tutorials.

Modules

• Term 1
  • Introduction to Artificial Intelligence (AI)
  • Machine Learning Fundamentals
  • Ethics and Legal Framework in AI
• Term 2
  • Pathway Robotics Engineering
    • Advanced Robotics, Automation and Computer Vision
    • Robotics Software and Programming
  • Pathway Blockchain and Fintech
    • Blockchain Technology
    • Advanced Fintech and Regulatory Compliance
  • Pathway Chatbot Design
    • Natural Language Processing
    • Advanced Conversational UI Design and Chatbot Development
  • Pathway Metaverse and Digitalisation
    • Virtual Reality and Augmented Reality
    • Strategies for Digital Transformation and Metaverse Development
• Term 3
  • Pathway Robotics Engineering
    • Advanced Robot Applications
    • Robotics Project Management
  • Pathway Blockchain and Fintech
    • Blockchain Development and Implementation
    • Fintech Innovation, Startups and Risk Management
  • Pathway Chatbot Design
    • Multi-Modal Chatbots
    • Chatbot Analytics and Optimisation
  • Pathway Metaverse and Digitalisation
    • Metaverse Content Creation and Management
    • Metaverse and Security
• Term 4
  • Final Project

Study in

• Berlin
  • Delivery: On campus
  • Duration: 18 months
  • Intakes: February, May, October
  • Campus: Berlin, Germany
  • Degree: MSc Artificial Intelligence awarded by the University for the Creative Arts
  • 2025 February, May, October: International students Price: €13,250 | EU students Price: €8,450

Learning Outcomes

Upon successful completion of the MSc Artificial Intelligence (AI) course students should be able to:

• Experimentation and Innovation: Students will learn to embrace uncertainty and take calculated risks when developing AI solutions.
• Research and Analysis: Students will master the art of gathering, evaluating, and synthesising diverse ideas, historical context, data, and AI methodologies.
• Engaging with Practice: Building a deep and continuous engagement with AI processes, technologies, and media is a fundamental aspect of this programme.
• Realisation & Communication: The ability to bring AI projects to fruition and effectively communicate their findings and implications is vital.
• Personal and Professional Connectivity: This outcome emphasises the importance of understanding the professional, cultural, ethical, and social contexts in which AI operates.

Career Progression

Graduates of the MSc Artificial Intelligence can anticipate a promising trajectory in their careers, propelled by the programme’s specialised focus on emerging technologies.

Entry Requirements

• Minimum age: 21 years old
• Academic qualifications: Successful completion of a bachelor’s degree from a recognised university
• English language requirements: Access the Proof of English Guide (UCA) here.

Program Outline

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Degree Overview:

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Objectives:

• Equip students with specialized knowledge and skills in four key areas:
• Robotics Engineering
• Blockchain and Fintech
• Chatbot Design
• Metaverse and Digitalization
• Provide a dynamic learning environment, guided by expert faculty
• Integrate theoretical knowledge with practical applications
• Address the ethical issues of AI

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Program Description:

• 18-month program with a focus on current challenges and needs in AI
• Tailored to the needs of recent graduates and mid-career professionals
• Emphasis on hands-on experience and industry-relevant skills
• Blends academic rigor with practical application through a dynamic learning environment
• Cultivates students into confident, reflective practitioners, strategic thinkers, and decision-makers

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Outline:

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Program Structure:

• Majority of work completed in groups with ongoing support through individual and online tutorials
• Diverse learning and teaching methods: lectures, tutorials, workshops, animated
  on-animated videos, practical work, seminars, and trips
• Assessments include individual/group reports, presentations, case studies, essays, portfolio development, reflective journals, and experiential work-based activities
• Modules offered and delivered 100% on campus
• Access to additional course and reading materials via UCA platform
• Schedule: Teaching takes place Monday to Saturdays, during morning, afternoon, or evening sessions
• Each year is divided into three terms

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Term 1:

• Introduction to Artificial Intelligence
• Machine Learning Fundamentals
• Ethics and Legal Framework in AI

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Term 2 (Pathway-specific):

• Robotics Engineering:
• Advanced Robotics, Automation and Computer Vision
• Robotics Software and Programming
• Blockchain and Fintech:
• Blockchain Technology
• Advanced Fintech and Regulatory Compliance
• Chatbot Design:
• Natural Language Processing
• Advanced Conversational UI Design and Chatbot Development
• Metaverse and Digitalization:
• Virtual Reality and Augmented Reality
• Strategies for Digital Transformation and Metaverse Development

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Term 3 (Pathway-specific):

• Robotics Engineering:
• Advanced Robot Applications
• Robotics Project Management
• Blockchain and Fintech:
• Blockchain Development and Implementation
• Fintech Innovation, Startups and Risk Management
• Chatbot Design:
• Multi-Modal Chatbots
• Chatbot Analytics and Optimisation
• Metaverse and Digitalization:
• Metaverse Content Creation and Management
• Metaverse and Security

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Term 4:

• Final Project

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Assessment:

• Individual and group assignments
• Presentations
• Case studies
• Essays
• Portfolio development
• Reflective journals
• Experiential work-based activities

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Teaching:

• Expert faculty with real-world industry experience
• Dynamic learning environment blending theoretical knowledge with practical applications
• Emphasis on hands-on experience and industry-relevant skills
• Focus on developing well-rounded professionals with critical thinking, problem-solving, and communication skills

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Careers:

• Graduates equipped for lucrative opportunities in diverse industries with increasing AI adoption
• Expertise in robotics, blockchain, fintech, chatbot design, and metaverse technologies opens doors to high-demand roles
• Program's practical orientation ensures graduates are well-equipped to meet rising demand for AI professionals
• Specialization in areas like blockchain positions graduates to leverage expertise in financial institutions actively exploring security and efficiency applications
• Expertise in chatbot design caters to the growing demand for personalized customer interactions

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Other:

• Special offer: Up to 35% savings for international students and 10% for EU students (valid until 31 July 2024)
• Program fees:
• Berlin: May, October intake
• International students: €13,250
• EU students: €8,450
• Dedicated Careers Service to help students and alumni reach career goals
• Program offered in Berlin, Hamburg, Paris, and Barcelona
• UCA ranked as the top creative specialist university in the UK according to The Guardian Best Universities League Tables 2024

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Berlin: May, October 2024 October: International students Price: €13,250 | EU students Price: €8,450 Find out more here.