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    Applied AI,MSc
    Go to Birkbeck, University of London
    Birkbeck, University of London

    Applied AI,MSc

    Birkbeck, University of London

    Birkbeck, University of London

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    United Kingdom, London

    University RankQS Ranking
    408

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Campuses

    Main Site

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesOctober-2026
    Apply to this program

    Go to the official application for the university

    Duration 1 year(s)
    Tuition Fee
    GBP 22,980  / year
    Next Intake October-2026

    Applied AI,MSc

    About

    Course Overview

    This MSc Applied AI is designed to respond to the growing demand for specialists and leaders in the expanding field of artificial intelligence. It will teach you the core skills and knowledge you need to pursue a career in this dynamic area.

    Why choose this course?

    • This MSc Applied AI has several distinctive and innovative features focusing on the practical skills of applying AI technologies and tools in a business context.
    • It offers you hands-on experience highly valued by employers and can help launch your career in a wide range of industries, including in finance, healthcare, the public sector, consulting and marketing.
    • Our academic staff on this course are active researchers in the field of AI and its application to business and organisations, regularly publishing cutting-edge articles in the world's leading journals.

    What you will learn

    This course has been developed to provide you with foundational knowledge and skills relating to AI theories and technologies with core modules covering AI concepts, applied AI technologies for decision making, and AI ethics.

    You will explore how advances in artificial intelligence are reshaping the world of work and what organisations need to do to make a success of these changes. You will learn how to apply AI technologies such as machine learning, deep learning and natural language processing to create value in organisations.

    How you will learn

    This course is available to study full- or part-time. It has both a daytime and evening timetable. This means you can choose whether you want to attend classes in the daytime or evening, so they fit around any other commitments you have.

    You will be taught in seminars and lectures. You will also take part in lab-based sessions in which you will enhance your knowledge, skills and understanding of artificial intelligence techniques in modelling, data analytics, simulation and other AI exercises using freely available datasets and tools such as Python, Excel, SPSS and Tableau.

    Discover the career opportunities available by taking Applied AI (MSc).

    Requirements

    Entry Requirements

    This degree is designed for graduates who are new to artificial intelligence. Due to the course's strong quantitative elements, a second-class honours degree (2:2 or above) in business, finance, economics, management science, logistics, engineering, computing or mathematics is required.

    Applicants from other degrees may be considered on a case-by-case basis provided they can show strong quantitative ability.

    We welcome applicants without traditional entry qualifications as we base decisions on our own assessment of qualifications, knowledge and previous work experience. We may waive formal entry requirements based on judgement of academic potential.

    On your application form, please list all your relevant qualifications and experience, including those you expect to achieve.

    Apply now to secure your place. The earlier you apply, the sooner your application can be considered and you can enrol. You do not need to have completed your current qualification to start your application.

    English Program Requirements

    If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests.

    If you don't meet the minimum IELTS requirement, we offer pre-sessional English courses and foundation programmes to help you improve your English language skills and get your place at Birkbeck.

    Visit the International section of our website to find out more about our English language entry requirements and relevant requirements by country.

    Career

    On successfully graduating from this MA Applied AI you will have gained an array of valuable transferable skills, including:

    • the ability to work as part of a team
    • data analysis skills to collect, process and analyse data, and use AI techniques to extract business insights
    • research skills
    • communication skills in communicating complex data, models and insights with stakeholders
    • problem-solving skills
    • the ability to present yourself and an argument.

    Our graduates begin new careers or accelerate along their current career path because what we teach on the course can be applied almost instantly. Possible professions include:

    • AI business consultant: advising on how to introduce and integrate AI technologies to improve business operations and competitiveness
    • business intelligence analyst: applying AI technologies to extract business intelligence and support decision-making
    • AI analyst: for instance in finance, healthcare, supply chains, marketing or customer insights
    • project manager: planning and executing AI projects and monitoring the progress and success of such projects.

    We offer a comprehensive careers service - Careers and Enterprise - your career partner during your time at Birkbeck and beyond. At every stage of your career journey, we empower you to take ownership of your future, helping you to make the connection between your experience, education and future ambitions.

    Fee Information

    Tuition Fee

    GBP 22,980 

    Application Fee

    GBP  
    Birkbeck, University of London

    Applied AI,MSc

    Birkbeck, University of London

    [object Object]

    United Kingdom,

    London

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