Begin Abroad - London

Through a partnership between NYU Tandon and NYU London, newly admitted Computer Science and Urban Data Science students have the option of pursuing their first-semester coursework at NYU London and then traveling to New York for the completion of their degree. The Begin Abroad-London option, will be attractive to students who are interested in having a unique two-campus, international study experience for their master’s degree. Students will live in London, be enrolled full-time in 3 classes (9 credits), and enjoy a special cohort-based experience.

For more information about this program please email: tandonglobal@nyu.edu

Tandon will offer the following courses at NYU London during the first academic semester. All courses offered are from the CS curriculum and will count toward a student’s degree requirements. If your participation is confirmed, you must enroll in the London-specific sections of the courses below.

Fall Courses

CS-GY 6513: Big Data

Big Data requires the storage, organization, and processing of data at a scale and efficiency that go well beyond the capabilities of conventional information technologies. In this course, we will study the state of art in big data management: we will learn about algorithms, techniques and tools needed to support big data processing. In addition, we will examine real applications that require massive data analysis and how they can be implemented on Big Data platforms. The course will consist of lectures based both on textbook material and scientific papers. It will include programming assignments that will provide students with hands-on experience on building data-intensive applications using existing Big Data platforms, including Amazon AWS. Besides lectures given by the instructor, we will also have guest lectures by experts in some of the topics we will cover. Students should have experience in programming: Java, C, C++, Python, or similar languages, equivalent to two introductory courses in programming, such as “Introduction to Programming” and “Data Structures and Algorithms. | Knowledge of Python. Prerequisite: Graduate Standing.

CS-GY 6923: Machine Learning

This course is an introduction to the field of machine learning, covering fundamental techniques for classification, regression, dimensionality reduction, clustering, and model selection. A broad range of algorithms will be covered, such as linear and logistic regression, neural networks, deep learning, support vector machines, tree-based methods, expectation maximization, and principal components analysis. The course will include hands-on exercises with real data from different application areas (e.g. text, audio, images). Students will learn to train and validate machine learning models and analyze their performance. | Knowledge of undergraduate level probability and statistics, linear algebra, and multi-variable calculus. Prerequisite: Graduate standing.

CS-GY 6033: Design & Analysis of Algorithms

This course reviews basic data structures and mathematical tools. Topics: Data structures, priority queues, binary search trees, balanced search trees. Btrees. Algorithm design and analysis techniques illustrated in searching and sorting: heapsort, quicksort, sorting in linear time, medians and order statistics. Design and analysis techniques: dynamic programming, greedy algorithms. Graph algorithms: elementary graph algorithms (breadth first search, depth first search, topological sort, connected components, strongly connected components), minimum spanning tree, shortest path. String algorithms. Geometric algorithms. Linear programming. Brief introduction to NP completeness. | Knowledge of Discrete Math equivalent to CS-GY 6003, and knowledge of Fundamental Data Structures. Prerequisites: Graduate Standing

All students must:

• Be admitted to begin their program in Fall 2026,
• Commit to relocate and live in London during the first semester, and
• Enroll for a full-time course load (9 credits) from the CS or MOT courses offered at NYU London.
  • Following the first semester in London, you will travel to New York for the Spring 2027 semester and complete the remainder of your degree in New York.

Passport holders of the countries listed here will only require a UK Electronic Travel Authorization (ETA). The cost is £20 and decisions are typically emailed within 3 days.

All other passport holders will require a UK Visitor Visa. The cost is £135 and decisions are typically emailed within 3 weeks.

Some students may require a special English language exam prior to applying for the visa. The IELTS is the approved UK test for language (The TOEFL and others used for US/NYU Admissions will not be accepted).

Students Who Will Require US Visa to Travel to New York following their First Semester in London

Participating students should apply to Get a US Visa at least 3-4 months before the start of the Spring 2027 semester so that they can have their immigration documents to travel to New York for the semester that begins in January 2027.. If you already have your I-20 and need to have it updated to reflect your Spring 2027 entry to the US, please submit the Entry Plan form so OGS can adjust your document.

If I participate in Begin Abroad-London, will I still be eligible for OPT in the United States?

Yes, students who require a student visa to study in the United States will be able to apply for OPT. Two academic-year semesters (Fall / Spring) in the United States are required on a F-1 visa before one can qualify for off campus employment.

If I participate in Begin Abroad-London, will I still be eligible for CPT in the United States?

Yes, students who study in the United States for one full academic year are eligible to get CPT to work in the United States. These students will not be eligible for CPT during their first summer term.

Will there be any difference in the cost of tuition?

Tuition will be the same whether you study in New York City or in London. All scholarships and aid are transferable.