London city as seen from sky
Berkeley Global Internships

Spring Data Science Global Internships Program London

  • Summary

    Summary

     

    Gain first-hand knowledge, connections, and international work experience through an academic internship in London. On this program, you will:

    • Undertake a professional internship opportunity to build transferable skills in the field of Data Science
    • Earn academic credit for the internship via an online course, Data 197
    • Make progress towards your degree via an online offering of Data 100
    • Learn about British culture and history through an on-site course
    • Live with other program participants in central London
       

    About London

    The birthplace of Shakespeare and the Beatles, England boasts a rich history and heritage. London is the center of British politics and business and is a world power in media and advertising. London is also deeply multicultural, with one in three Londoners born in another country. Outside of your internship, share a traditional English breakfast with mates, ride to new heights on the London Eye, or whisk around the city on the underground.

     

    Program Details

    Dates:

    • London: January 20 - May 9, 2026
    • Online Courses: January 19 - May 7, 2026

    Dates are subject to change.
     

    Units: 13 units
     

    Language of Instruction: English
     

    Three Required Courses:

    On-site course:

    • TBD (3 units)

    And two online Data Science courses:

    • Data 100: Principles and Techniques of Data Science (4 units)

    • Data 197: Internship in Data Science (6 units)

       

     

    Housing 

    Students will live in fully-furnished apartment-style accommodations in central London.

    • Students will have access to a shared bathroom and communal kitchen to prepare meals.
    • Students will be randomly assigned to shared rooms. Gender-inclusive housing options are available on this program. If you have clarifying questions, please feel free to reach out to the program staff.

     

    Eligibility

    • Currently enrolled in a degree program or have graduated within the last 12 months
    • At least one semester of college coursework completed by the start of the program
    • 2.0 GPA or higher
    • At least 18 years old at the time of application
    • Not on term/academic notice or under censure for student misconduct at any point from application review to the end of your program
    • Completed the prerequisites for Data C100, including:
      • Foundations of Data Science: Data C8 or Stat 20 (Stat 21, W21, 135, PH 142 or IndEng 165 are accepted as substitutions for the Foundations prerequisite)
      • Programming: CS 61A or 47A, or Data/CS C88C, or ENGIN 7
      • Linear Algebra: MATH 54 or 56 or 110, STAT 89A, Physics 89, or EECS 16A (although linear algebra is a co-requisite for Data C100, it is a required prerequisite for this program and cannot be taken in Spring while abroad)  
      • Students who don’t yet meet the Data C100 prerequisites should take the prerequisites in the fall semester to be eligible for this program.

     

    Application

    • Application opens August 1, 2025 at 9 am PST
    • Space is limited and applications are accepted on a first-come, first-served basis
    • Deadline to apply is September 24, 2025 at 11:59 pm PST
  • Internship

    Internship

    The Global Internships team works one-on-one with you to find an internship based on your academic background, experience, interests, as well as employer needs and availability. Data science internships in London are available in a wide variety of fields and internship placement is guaranteed. However, some roles are more competitive than others, and may require prior experience. Internships will be three days a week, with the other two days of the week consisting of program-related coursework and activities.

     

    Examples of past internships:

    • Data Science: Interning with a business insight consultancy, students can expect to get involved with data collection, visualisation and evaluation, as well as updating questionnaires producing charts. 
    • Business & Data Science: Based within a finance firm, previous students have been involved with data (in lots of forms including research, organization, clearing and modelling), to then use machine learning to power a predictive algorithm. 
    • Computer Science: Interning for a start-up computer software company, interns have previously worked on creating web pages, updating websites and data analysis, as well as assisting clients with any issues they have. 

     

    Opportunities can vary year-to-year by such factors as market trends, time of year, and the economy. Common industry sectors/roles for internships include, but are not limited to:

    • Artificial Intelligence
    • Business Analyst
    • Business Intelligence
    • Data Analyst (visualisation, cleaning and preparation etc.) 
    • Data Scientist/Engineer
    • Machine Learning
    • Machine Learning Engineering
    • Software Engineer/Developer
    • Research
  • Costs

    Costs

    More information to come!

     

     

  • Timeline

    Timeline

    More information to come!

  • Instructors

    Instructors

    More information to come!