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Data Science and AI

MSc

Pathway of Data Science (MSc)

Application options include:

Full-time Part-time
On campus

Course Overview

Our MSc Data Science and AI offers you an intensive course to help you gain important skills and knowledge in data science and artificial intelligence.

Why choose this course?

  • This course is ideal if you are new to the subject of computer science and wish to gain the foundations for a successful career in IT as a data scientist or analyst, or wish to gain a deeper understanding of how current AI methods work. 
  • If you are already working in IT, this course provides you with the opportunity to strengthen and update your knowledge and skills in data science as well as equipping you with important new practical skills in the dynamic and growing area of artificial intelligence.
  • The modules you will take on both data science and AI are taught by experts in the field who regularly publish their research in these areas.

What you will learn

You will gain a broad knowledge of data science including tools, techniques and applications, and acquire valuable practical problem-solving and analytical skills. You will also acquire strong programming and data analysis skills using Python and R - the most popular programming languages used by data scientists today. 

Your training in artificial intelligence will involve machine learning, neural networks and natural language processing, so that you can gain in-depth knowledge and understanding of current AI techniques and applications. You will benefit from the chance to investigate specific areas of current research more deeply too.

How you will learn

This MSc Data Science and AI is available to study full- or part-time. If you choose full-time study, you will be able to start in either January or October. Part-time study starts in October. Both involve a mixture of daytime and evening classes and you will be taught via lectures, group exercises and practical sessions, for example in programming.

To complete the course, you will undertake your own individual project, supported by a member of our academic team, to investigate in depth an aspect of data science and AI that particularly interests you.

Discover the career opportunities available by taking Data Science and AI (MSc).

Key information and modules

Find another course:

Highlights

  • You will study at our Bloomsbury campus in the heart of London, a city fast becoming one of the major European hubs for AI research and development.
  • Birkbeck established one of the first computing departments in the UK in 1957. Our research dates back to the late 1940s, when one of the first electronic computers was developed at Birkbeck by Dr Andrew Booth. We are now home to the Data Science and Artificial Intelligence Research Group. 
  • We provide a stimulating teaching and research environment, with academic specialists in all fields, including information and knowledge management, web and pervasive technologies, computational intelligence, information systems development and artificial intelligence. 
  • You will have 24-hour access to laboratories of networked PCs with a range of language compilers, database and other application software. We are connected, via the SuperJANET network, to the computers of other academic institutions in London, elsewhere in the UK and abroad.
  • The Birkbeck Knowledge Lab draws on multi- and interdisciplinary perspectives and methodologies from across the sciences, social sciences and the arts, to investigate how digital technologies and digital information are transforming our culture and how we learn and work.
  • Birkbeck was ranked in the top 25 universities in the UK for its Computer Science and Informatics research in the 2021 Research Excellence Framework.
Come and meet us Request a prospectus Contact us

Birkbeck makes all reasonable efforts to deliver educational services, modules and programmes of study as described on our website. In the event that there are material changes to our offering (for example, due to matters beyond our control), we will update applicant and student facing information as quickly as possible and offer alternatives to applicants, offer-holders and current students.

Most of our courses are taught in the evenings, however some of our courses offer a daytime timetable. Where there is an option to attend daytime teaching sessions, this is stated in the Key Information section under Attendance.

  • Entry Requirements Entry Requirements

    Entry Requirements

    This degree is designed for graduates who are new to computer science, so the main requirement is at least a second-class honours degree (2:2) or equivalent, in any subject other than single-honours computer science. Applicants with less than the required level of academic qualification may be considered if they have significant experience in the IT industry. Applicants who already hold a degree in computer science are referred to the MSc Advanced Computing.

    Upon receipt of application, suitable candidates will be invited to take an online aptitude test. The details of the test will be clearly set out via email. You are expected to take the test before the deadline specified in that email and we aim to get back to you with our decision based on the results of the aptitude test within 10 working days. You can also download the aptitude test notes in advance to prepare. Please note that you can only take the aptitude test once per academic year.

    Applications are reviewed on their individual merits and your professional qualifications and/or relevant work experience will be taken into consideration positively. We actively support and encourage applications from mature learners.

    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 language requirements

    If English is not your first language or you have not previously studied in English, the requirement for this course 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.

    Visa and funding requirements

    If you are not from the UK and you do not already have residency here, you may need to apply for a visa.

    The visa you apply for varies according to the length of your course:

    • Courses of more than six months' duration: Student visa
    • Courses of less than six months' duration: Standard Visitor visa

    International students who require a Student visa should apply for our full-time courses as these qualify for Student visa sponsorship. If you are living in the UK on a Student visa, you will not be eligible to enrol as a student on Birkbeck's part-time courses (with the exception of some modules).

    For full information, read our visa information for international students page.

    Please also visit the international section of our website to find out more about relevant visa and funding requirements by country.

    Please note students receiving US Federal Aid are only able to apply for in-person, on-campus programmes which will have no elements of online study.

    Credits and accredited prior learning (APL)

    If you have studied at university, you may have accumulated credits through the modules you studied. It may be possible to transfer these credits from your previous study to Birkbeck or another institution.

  • Fees Fees

    Fees

    Data Science and AI: January start MSc: 1 year full-time, on campus, starting in academic year 2024-25 or 2025-26

    Academic year 2024–25, starting January 2025

    To be confirmed

    Academic year 2025–26, starting January 2026

    To be confirmed

    Data Science and AI: October start MSc: 1 year full-time or 2 years part-time, on campus, starting in academic year 2025-26

    Academic year 2025–26, starting October 2025

    To be confirmed

    Students are charged a tuition fee in each year of their course. Tuition fees for students continuing on their course in following years may be subject to annual inflationary increases. For more information, please see the College Fees Policy.

    If you’ve studied at Birkbeck before and successfully completed an award with us, take advantage of our Lifelong Learning Guarantee to gain a discount on the tuition fee of this course.

    Discover the financial support available to you to help with your studies at Birkbeck.

    International scholarships

    We provide a range of scholarships for eligible international students, including our Global Future Scholarship. Discover if you are eligible for a scholarship.

  • Teaching and Assessment Teaching and Assessment

    Teaching

    At Birkbeck, most of our courses are taught in the evening and all of our teaching is designed to support students who are juggling evening study with work and other commitments. We actively encourage innovative and engaging ways of teaching, to ensure our students have the best learning experience.

    Teaching may include formal lectures, seminars, and practical classes and tutorials. Formal lectures are used in most degree programmes to give an overview of a particular field of study. They aim to provide the stimulus and the starting point for deeper exploration of the subject during your own personal reading. Seminars give you the chance to explore a specific aspect of your subject in depth and to discuss and exchange ideas with fellow students. They typically require preparatory study.

    In addition, you will have access to pastoral support via a named Personal Tutor.

    Methods of teaching on this course

    Formal lectures are the principal teaching method, but these frequently incorporate practical sessions, for example in programming, and also group exercises carried out in class.

    Teaching hours

    Our evening hours are normally between 6pm and 9pm (6-7.30pm and 7.30-9pm). Some programmes also offer teaching during the day and this will be clearly signposted to you where it is available.

    On our taught courses, you will have scheduled teaching and study sessions each year. Scheduled teaching sessions may include lectures, seminars, workshops or laboratory work. Depending on the modules you take, you may also have additional scheduled academic activities, such as tutorials, dissertation supervision, practical classes, visits and field trips. On our taught courses, the actual amount of time you spend in the classroom and in contact with your lecturers will depend on your course, the option modules you select and when you undertake your final-year project (if applicable).

    Alongside your contact hours, you will also undertake assessment activities and independent learning outside of class. The amount of time you need to allocate to study both for taught sessions (this might include online sessions and/or in-person sessions) and personal study will depend on how much you are studying during the year and whether you are studying full time or part time.

    Birkbeck’s courses are made up of modules and allocated ‘credit’. One credit is equivalent to ten hours of learning time. Modules are usually in 15, 30 or 60 credit units. A 15-credit module will mean around 150 hours of learning, including taught sessions and independent study or group work. This is spread out over the whole period of that module and includes the time you spend on any assessments, including in examinations, preparing and writing assessments or engaged in practical work as well as any study support sessions to help you in your learning.

    On our distance-learning and blended-learning courses, discussion, collaboration and interaction with your lecturers and fellow students is encouraged and enabled through various learning technologies.

    Timetables

    Timetables are usually available from September onwards and you can access your personalised timetable via your My Birkbeck Profile online (if you have been invited to enrol).

    Indicative class size

    Class sizes vary, depending on your course, the module you are undertaking, and the method of teaching. For example, lectures are presented to larger groups, whereas seminars usually consist of small, interactive groups led by a tutor.

    Independent learning

    On our taught courses, much of your time outside of class will be spent on self-directed, independent learning, including preparing for classes and following up afterwards. This will usually include, but is not limited to, reading books and journal articles, undertaking research, working on coursework and assignments, and preparing for presentations and assessments.

    Independent learning is absolutely vital to your success as a student. Everyone is different, and the study time required varies topic by topic, but, as a guide, expect to schedule up to five hours of self-study for each hour of teaching.

    Study skills and additional support

    Birkbeck offers study and learning support to undergraduate and postgraduate students to help them succeed. Our Learning Development Service can help you in the following areas:

    • academic skills (including planning your workload, research, writing, exam preparation and writing a dissertation)
    • written English (including structure, punctuation and grammar)
    • numerical skills (basic mathematics and statistics).

    Our Disability and Dyslexia Service can support you if you have additional learning needs resulting from a disability or from dyslexia.

    Our Counselling Service can support you if you are struggling with emotional or psychological difficulties during your studies.

    Our Mental Health Advisory Service can support you if you are experiencing short- or long-term mental health difficulties during your studies.

    Assessment

    Assessment is an integral part of your university studies and usually consists of a combination of coursework and examinations, although this will vary from course to course - on some of our courses, assessment is entirely by coursework. The methods of assessment on this course are specified below under 'Methods of assessment on this course'. You will need to allow time to complete coursework and prepare for exams.

    Where a course has unseen written examinations, these may be held termly, but, on the majority of our courses, exams are usually taken in the Summer term, during May to June. Exams may be held at other times of the year as well. In most cases, exams are held during the day on a weekday - if you have daytime commitments, you will need to make arrangements for daytime attendance - but some exams are held in the evening. Exam timetables are published online.

    Find out more about assessment at Birkbeck, including guidance on assessment, feedback and our assessment offences policy.

    Methods of assessment on this course

    Depending on the module, assessment includes practical lab exercises, coursework assignments, written examinations and your project proposal and final report.

  • Careers and employability Careers and employability

    Careers and employability

    On successfully completing this MSc Data Science and AI, you will have gained an array of valuable transferable skills, including the ability to:

    • demonstrate self-direction and originality in tackling and solving problems
    • act autonomously in planning and implementing tasks at a professional level
    • conduct a critical appraisal of material synthesised from research papers
    • communicate conclusions clearly to specialist and non-specialist audiences
    • deal with complex issues systematically and creatively.

    You will find data science and AI graduates following career paths in the following kinds of roles:

    • data scientist
    • data analyst
    • programmer
    • software developer

    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.

  • How to apply How to apply

    How to apply

    You apply directly to Birkbeck for this course, using the online application link.

    You will need to prove your identity when you apply - read more about suitable forms of identification.

    When to apply

    You are strongly advised to apply now, to ensure there are still places on your chosen course and to give you enough time to complete the admissions process, to arrange funding and to enrol.

    You don't need to complete your current programme of study before you apply - Birkbeck can offer you a place that is conditional on your results.

    You will also receive information about subject-specific induction sessions over the summer.

    Help and advice with your application

    Get all the information you need about the application, admission and enrolment process at Birkbeck.

    Our online personal statement tool will guide you through every step of writing the personal statement part of your application.

    Apply for your course

    Apply for your course using the apply now button in the key information section.

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Course structure

Course structure listing