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    Data Analytics and AI MSc
    Go to University of Nottingham
    University of Nottingham

    Data Analytics and AI MSc

    University of Nottingham

    University of Nottingham

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    United Kingdom, Nottingham

    University RankQS Ranking
    109

    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 DeadlinesSeptember-2026
    Apply to this program

    Go to the official application for the university

    Duration 12 month(s)
    Tuition Fee
    GBP 28,600  / year(s)
    Next Intake September-2026

    Data Analytics and AI MSc

    About

    Course overview

    This is an interdisciplinary programme that provides a solid foundation in data analytics and artificial intelligence. You’ll be taught principally by the School of Mathematical Sciences, with the option to choose modules from the Business School. Our unique curriculum teaches you how various approaches in data analytics and AI can be applied to decision making in modern, data-rich environments.

    In addition to the core data analytics component, the programme includes options to specialise in:

    • Modelling and AI for health sciences and pharmacology
    • Data-driven techniques for business analytics
    • Statistical machine learning and AI

    The flexible structure gives you an opportunity to specialise or keep your options open, aligning your education with your career goals and interests.

    During the course, you‘ll develop a strong mathematical foundation along with practical and interdisciplinary skills. You‘ll also learn the theory behind data analytics and AI, gaining insight into the "why" behind algorithms and methods, and practise tackling real-world challenges.

    This course is ideal for:

    • Aspiring data professionals: Those looking to work in data analysis, data science, machine learning and AI
    • STEM graduates and professionals: Individuals wanting to improve their data skills and solve real-world problems
    • Industry professionals: People aiming to learn modern data analytics, statistics and AI techniques
    • Non-STEM professionals: Those wishing to switch to data-driven careers

    Requirements

    Entry Requirements

    Undergraduate degreeEquivalent of a 2:1 BSc degree of the UK standard in mathematics, physics, economics, computer science, natural sciences or engineering. A solid background in mathematics, including calculus, linear algebra and the basics of probability and statistics.
    International and EU equivalentsWe accept a wide range of qualifications from all over the world.

    For information on entry requirements from your country, see our country pages.
    IELTS6.0 with no less than 5.5 in each area
    English language requirementsAs well as IELTS (listed above), we also accept other English language qualifications. This includes TOEFL iBT, Pearson PTE, GCSE, IB and O level English.

    Meeting our English language requirements

    If you need support to meet the required level, you may be able to attend a presessional English course. Presessional courses teach you academic skills in addition to English language. Our Centre for English Language Education is accredited by the British Council for the teaching of English in the UK.

    If you successfully complete your presessional course to the required level, you can then progress to your degree course. This means that you won't need to retake IELTS or equivalent.

    For on-campus presessional English courses, you must take IELTS for UKVI to meet visa regulations. For online presessional courses, see our CELE webpages for guidance

    Visa restrictions

    International students must have valid UK immigration permissions for any courses or study period where teaching takes place in the UK. Student route visas can be issued for eligible students studying full-time courses. The University of Nottingham does not sponsor a student visa for students studying part-time courses. The Standard Visitor visa route is not appropriate in all cases. Please contact the university’s Visa and Immigration team if you need advice about your visa options.

    Career

    Careers

    We offer individual careers support for all postgraduate students.

    Expert staff can help you research career options and job vacancies, build your CV or résumé, develop your interview skills and meet employers.

    Each year 1,100 employers advertise graduate jobs and internships through our online vacancy service. We host regular careers fairs, including specialist fairs for different sectors.

    International students who complete an eligible degree programme in the UK on a student visa can apply to stay and work in the UK after their course under the Graduate immigration route. Eligible courses at the University of Nottingham include bachelors, masters and research degrees, and PGCE courses.

    Graduate destinations

    Graduates of this programme are industry-ready and can go on to pursue careers in technology, finance, healthcare and more. With strong maths and computational skills, graduates can understand and use complex data analytics and AI methods, making them highly desirable in the job market.

    Graduates from the School of Mathematical Sciences go on to work for top employers such as Capital One, Kubrick Group, BAE Systems, Amazon, BP and China Zheshang Bank.

    Career progression

    92.6% of postgraduates from the School of Mathematical Sciences secured graduate level employment or further study within 15 months of graduation. The average starting salary was £30,476.*

    * HESA Graduate Outcomes 2017/18-2022/23.

    Students will have the opportunity to do a work placement instead of a traditional dissertation. There will also be industry-relevant projects, co-supervised by industry partners, available to choose from for the dissertation project.

    Fee Information

    Tuition Fee

    GBP 28,600 

    Application Fee

    GBP  
    University of Nottingham

    Data Analytics and AI MSc

    University of Nottingham

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    United Kingdom,

    Nottingham

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