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MSc Applied Artificial Intelligence

  • DeadlineStudy Details: MSc 1 year full-time

Masters Degree Description

Course overview

Our MSc in Applied Artificial Intelligence is an advanced programme which combines essential concepts in AI and ML with practical learning through labs, workshops and industry specific applications.

The course will equip you with the techniques and skills necessary to excel in AI-driven industries; you will gain a solid foundation in the principles, theories, and practices of Artificial Intelligence, including machine learning, deep learning, data mining, natural language processing, computer vision, reinforcement learning, automation, and robotics.

Through the use of case studies and industry projects, you will also gain significant hands-on experience with AI tools and technologies, ensuring you’re equipped to design, evaluate, and implement AI and ML solutions for real-world problems.

The program emphasises practical applications, ethical considerations, and the societal impact of AI technologies.

  • Cutting-edge content: learn the latest developments in AI and machine learning to stay at the forefront of this rapidly evolving field.
  • Practical, hands-on experience: engage in real-world projects and lab sessions to apply theoretical knowledge to practical scenarios.
  • Interdisciplinary learning: benefit from the intersection of AI with various disciplines, enhancing your ability to apply AI in different contexts.
  • Research skills: conduct independent research, critically evaluate existing literature, and contribute to the advancement of the field of AI
  • Innovation and creativity: think innovatively about the development and application of AI technologies in tackling complex challenges and envisioning new possibilities.
  • Skills in demand: acquire technical expertise and problem-solving skills that are highly sought after in the job market.
  • Long-term career prospects: develop foundational skills that will remain relevant as AI technologies continue to evolve.

Entry Requirements

2:1 undergraduate degree (or equivalent) in a STEM subject. Suitable subjects include but are not limited to: IT, Mathematics, Chemistry, Physics, Engineering, Statistics, Biology/Life Sciences.

Candidates with a background in Computer Science or related areas who are interested in an applied approach to AI are also encouraged to apply.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

We offer a variety of postgraduate funding options for study at the University of Warwick, from postgraduate loans, university scholarships, fee awards, to academic department bursaries.

Student Destinations

As a graduate of MSc Applied Artificial Intelligence, you will typically progress into a career with a focus on data analysis, machine learning, AI development, robotics, automation, natural language processing, or ethical AI. You will be well-prepared to work across a breadth of different industries from manufacturing through to healthcare, education, and finance, and within a range of organisations from large multinational corporations to innovative start-ups.

Potential roles include:

  • Data Scientist: Analysing and interpreting complex datasets to help organizations make data-driven decisions.
  • Machine Learning Engineer: Designing, building, and deploying machine learning models.
  • AI Software Developer: Developing software solutions that incorporate AI and machine learning technologies.
  • Robotics Engineer: Working on the design and development of robotic systems.
  • AI Product Manager: Overseeing the development and deployment of AI products.
  • AI Solution Architect: Creating and implementing AI solutions tailored to specific business needs.
  • Natural Language Processing (NLP) Specialist: Focusing on the interaction between computers and human languages.
  • Ethical AI Specialist: Ensuring that AI technologies are developed and used responsibly.

Module Details

Core modules are required modules that all students will complete whilst on this programme. This course covers a comprehensive range of topics designed to equip students with the essential skills and knowledge needed to excel in the field.

For Applied Artificial Intelligence (AAI), your core modules are:

  • Fundamentals of Artificial Intelligence Research, Development, and Management (30 credits)
  • Programming for Artificial Intelligence (15 credits)
  • Fundamentals of Artificial Intelligence and Data Mining (15 credits)
  • Artificial Intelligence and Deep Learning (15 credits)
  • Applied Statistics for AI (15 credits)
  • Ethical Artificial Intelligence Implementation (15 credits)
  • Artificial Intelligence for Industry (15 credits)
  • MSc Project (60 credits)

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