Master’s in Data Science
CDS offers a limited number of tuition scholarships to selected students admitted to the program. All applicants for admission will be considered for these awards on a competitive basis. These scholarships will cover a portion of the tuition costs for up to two years.
For information on financial aid at NYU, visit NYU’s Financial Aid Page.
The CDS Pathbreaker Scholarship
We’re excited to launch the CDS Pathbreaker Scholarship. We are committed to fostering diversity and innovation in the field of data science, and to support this mission, we’re offering scholarships for 6 incoming Fall 2024 MS students that cover half the tuition for our Master’s of Science in Data Science degree. That’s 18 points of tuition and fees support.
Developed in collaboration with our DEI Committee, the scholarship’s aim is to support talented students who may not have previously had the opportunity to pursue a graduate degree.
Students need only to apply for the CDS MS program and will automatically be considered for the scholarship. While not mandatory, we encourage applicants who believe they qualify for the Pathbreaker to highlight their experiences in the personal statement section of the MS application.
First-Generation College Student:
If students are first-generation college students, then neither of their parents (or legal guardians) completed a bachelor’s degree (or the equivalent degree, if outside the United States)
The National Center for Education Statistics (NCES) outline seven characteristics of nontraditional [college] students, including:
- delayed entry into college of at least one year following high school,
- having at least one dependent while pursuing associate/bachelor’s degrees
- being a single parent while pursuing associate/bachelor’s degrees
- had a full-time employment of at least 35 hours per week while pursuing associate/bachelor’s degrees
- financial independence (for the purposes of financial aid – did not have a dependent status)
- pursued the associate or bachelor’s degree part-time
- pursued non-traditional educational pathways such as no high school diploma (GED) or attended community college first
- veteran/military status
- is an undocumented/DACA student
DeepMind Scholarship Program for Underrepresented Students
Mariam Abdullah, CDS DeepMind Scholar, 2023-2024
Upon graduating from The University of Maryland with a B.A. in Economics, Mariam pursued research and analytics roles within the advertising and video game industries. Subsequently, while working across Activision Blizzard’s massive player base, her interest in experimentation transformed into a passion for behavioral prediction. Post three years of industry work, Mariam is excited to enrich her prior applications with a deeper theoretical focus on personalized ML, especially multi-armed bandits and collaborative filtering. In her free time, Mariam enjoys amateur cycling. She has been lucky to bike several Tour de France climbs such as Alpe D’huez & Mont Ventoux.
Einstein Oyewole, CDS DeepMind Scholar, 2023-2024
Einstein was born in Lagos Nigeria and grew up in Southern Ontario, Canada. He graduated with a Bachelor of Science in Data Science from Wilfrid Laurier University, Waterloo, where he cultivated a strong interest in data science, machine learning, and its applications. After graduation, he worked at Amazon Connect, Vancouver as a Software Engineer. Einstein’s aim is to use his time at NYU to explore more into the cutting-edge of data science and artificial intelligence. His goal is to leverage these powerful tools in a way that makes the world enjoyable, efficient and safer for everyone.
Kathleena Inchoco, CDS DeepMind Scholar, 2022-2023
Kathleena was born in Manila, Philippines and grew up in Fairfield, CT. In 2018, she graduated from Wellesley College with a B.A. in Economics and minor in Mathematics. As an undergraduate, Kathleena enjoyed studying cross-disciplinary problems related to economics, ethics, and math. After college, she worked at the Brattle Group, The Federal Reserve Bank of New York, and Morgan Stanley. Kathleena intends to use her time at NYU to delve more deeply into how data science can solve complex problems in our society.
Mary Nwangwu, CDS DeepMind Scholar, 2022-2023
Mary was born and raised in Los Angeles, California. She earned her undergraduate degree in Bioengineering at the University of California, Riverside. After graduating, Mary worked as a research associate at the Beckman Research Institute of City of Hope. There, she utilized machine-learning-based software and statistical tools to analyze extensive sets of patient-based data to find correlations with clinical outcomes. Mary is enthusiastic about the opportunity the Fellowship presents and is passionate about advocating for the advancement of diversity in the tech industry.
Akram Reshad, CDS DeepMind Scholar, 2021-2022
Akram was born in Las Vegas, Nevada to two Ethiopian immigrants. Helping his community was always a big part of his childhood, as both his parents loved volunteering. He has always loved math and science from a young age. He has a passion for AI and data science because he believes it will be the future. Akram’s hobbies include reading books, playing chess, and playing basketball.
CDS is thrilled to once again partner with DeepMind in offering a series of scholarships aimed at increasing representation of underrepresented students in higher education AI programs. Increasing representation in AI is a significant opportunity to bring diverse voices to the conversation, and ultimately shape continuing developments in AI as a technology that benefits everyone.
Obum Ekeke, University Relations and Educational Partnerships at DeepMind, said: “AI needs a diverse range of voices, perspectives and talents, and these scholarships will empower students from underrepresented backgrounds to access master’s level study in AI.”
DeepMind selected New York University’s Center for Data Science as a pioneer not only in the rapidly developing field of data science, but as a leader in recruiting a diverse cohort of students and researchers (for the first time in 2019, CDS welcomed a majority female cohort to its MS in Data Science incoming class). CDS is honored to be a part of this effort to enable the next generation of AI researchers and engineers, ultimately building a stronger and more inclusive AI community.
DeepMind was NYU CDS’ first industrial partner, sponsoring over 20 CDS students to date. CDS DeepMind scholars are also offered support from a DeepMind mentor, and have opportunities to attend leading AI academic conferences and DeepMind events.
For 2023 entry, 2 fully-funded master’s scholarships will be available for CDS students from backgrounds underrepresented in AI, including DeepMind mentoring support and a grant for academic conference travel. All MS applicants are reviewed for potential scholarship opportunities. Thus, in order to be considered for the DeepMind scholarship, the only step applicants need to take is to simply apply to the program.
DeepMind is a leading artificial intelligence research company that aims to solve real-world problems and advance scientific discovery. For more information on their scholarship programs, please visit the DeepMind website.