Economic Studies of Statistics & Data Science in the United Kingdom

Statistics and Data Science – UK

8 days London & Birmingham

Statistics & Data Science

The Statistics and Data Science Faculty-Led Program in the UK offers students a unique opportunity to explore statistical theory, big data analytics, and computational innovation across London and Birmingham, a global cornerstone of quantitative research and artificial intelligence.

Over 8 days and 7 nights, participants will engage with world-class research institutes, multinational tech corporations, and leading universities, gaining an international perspective on how data science and AI are reshaping industries and society. The program blends academic engagement, immersive field studies, and cultural exploration for a comprehensive study abroad experience.

Through expert visits and industry access, students will connect quantitative theory to real-world application. Academic highlights include a guided visit to the UCL Centre for Data Science, focused on extracting knowledge from complex datasets through mathematical and statistical modeling, and sessions at the University of Birmingham’s Schools of Mathematics and Computer Science. A visit to the Alan Turing Institute — the UK’s national institute for data science and AI — brings students face to face with the organization leading fundamental research into the field’s most pressing real-world challenges. A stop at Bloomberg’s London offices further connects students to how data and technology drive global financial decision-making.

Beyond the research and industry visits, students will enjoy a Thames River sightseeing cruise, panoramic views from the Sky Garden, a walking tour tracing London’s evolution into a modern global powerhouse, and a tour of Birmingham’s historic canal network and smart city landscape.

Itinerary

  • Day 1: Depart from the USA

    Flight

    Depart from the USA on an overnight flight to London.

    Overnight

    In flight.

  • Day 2: Arrival in London

    Morning

    Arrive in London and make your own way to the hotel. Meet your TLAC group leader in the lobby of the hotel for check in. Transit passes will be distributed.

    Remainder of the day

    Free day to rest after arrival.

    Overnight

    London.

  • Day 3: London: Walking tour and University College London

    Morning

    Walking tour of the city that traces the historic evolution of London from a royal capital into a modern global powerhouse. The tour will show all the most famous attractions of London.

    Noon

    Lunch break.

    Afternoon

    Guided academic visit to University College London (UCL) Centre for Data Science. It is a university-wide research initiative focused on extracting knowledge from complex datasets. It develops mathematical, statistical, and quantitative theories to identify patterns, build predictive models, and drive interdisciplinary innovation across academia and industry.

    Evening

    Welcome dinner at The Devonshire.

    Overnight

    London.

  • Day 4: London: British Museum and Alan Turing Institute

    Morning

    Visit to the British Museum. The British Museum in houses a vast collection of documents that show the evolution of historical technology and culture.

    Noon

    Lunch break.

    Afternoon

    Visit to the Alan Turing Institute, the United Kingdom's national institute for data science and artificial intelligence, founded in 2015 and largely funded by the UK Government. It is named after Alan Turing, the British mathematician and computing pioneer. The role of the institute is to provide the expertise and fundamental research into data science and artificial intelligence needed to solve real-world problems.

    Thames River sightseeing cruise to discover London from a different view.

    Overnight

    London.

  • Day 5: London: City of London.

    Morning

    Walking tour in the City of London, the historic financial building, and visit to Bloomberg, a financial, software, data, and media company. They use the power of information and technology to bring clarity to a complex world. Global customers rely on them to deliver accurate, real-time business and market-moving information that helps them make critical financial decisions.

    Noon

    Lunch break.

    Afternoon

    Visit to the Sky Garden, London’s highest public garden – a vibrant social space with 360-degree views of the city’s iconic skyline. Here, students can experience London from a spectacular viewpoint.

    Remainder of the day

    Free time.

    Overnight

    London.

  • Day 6: From London to Birmingham

    Morning

    Check out previous accommodations.

    Departing by train from London to Birmingham.

    Noon

    Lunch break.

    Afternoon

    Check in at the new accommodations.

    Walking tour of Birmingham that traces the city evolution from an 18th-century industrial powerhouse into a modern, tech-driven civic center. Students will explore the city's architectural transformation by contrasting historic 19th-century institutional spaces with cutting-edge modern landmarks. The route winds through the historic canal network and commercial hubs, allowing the group to analyze how historic urban infrastructure has been repurposed to anchor contemporary corporate governance and smart city technology.

    Overnight

    Birmingham.

  • Day 7: Birmingham: University of Birmingham

    Morning

    Visit to the University of Birmingham School of Mathematics and School of Computer Science.

    Noon

    Lunch break.

    Afternoon

    Free time.

    Evening

    Farewell dinner at The Lost & Found Birmingham.

    Overnight

    Birmingham.

  • Day 8: Birmingham: Free day

    Students depart individually from Birmingham. Must checkout of accommodations by 10am.

Learning Outcomes

Learning Outcomes

  • Statistical Theory & Quantitative Modeling
  • Big Data Analytics & Predictive Modeling
  • Artificial Intelligence & Machine Learning Applications
  • Data-Driven Decision Making in Finance & Industry
  • Real-World Exposure to Leading Data Science Institutions
  • Computational Innovation & Smart City Technology
  • Global Perspectives on the Future of Data Science
Support for Faculty

Support for Faculty

At The Learning Abroad Co., we collaborate with faculty to design custom programs that align with their academic vision. We provide comprehensive support in curriculum development, logistics and resources for promoting and recruiting students for these unique global learning experiences.

  • Online faculty-led program website for consultation by faculty and students pre- and during the trip
  • Expertise from the local team who developed the program proposal
  • Collaborative planning for a unique and customized program
  • Feedback forms for continuous evaluation
  • Pre-departure webinar

Contact Information

We would be delighted to work with you to facilitate a rich experience for your group in the UK. If you would like to discuss any of the details in this proposal please do not
hesitate to contact us.

Contact us

What’s Included

  • Housing

    • Students and faculty will be housed in 3-star hotel accommodation with daily breakfast included.
    • Students will share rooms: 2 students per room, each with a separate bed. Each room has its own bathroom.
    • The faculty will be provided with private bedrooms with bathrooms.
  • Meals

    • Breakfast in the hotels is included daily.
    • Two group meals are included as part of the program: a Welcome Dinner and a Farewell Dinner.
  • Transport

    • Students will primarily explore destinations on foot. All other transit is completed by the use of public transportation, which is included in the program fee. Local transit cards are provided where necessary.
  • On-Site Support

    • A TLAC team member in the UK will be assigned to your group for the duration of the program.
    • A 24-hour emergency contact number will be provided for support throughout the stay.

Contact Information

We would be delighted to work with you to facilitate a rich experience for your group in the UK. If you would like to discuss any of the details in this proposal please do not
hesitate to contact us.

Contact us