About the school

The Data Science Institute (DSI) at Vanderbilt University emerges as a preeminent research establishment for AI and Data Science studies, fostering enduring networks through collaborations across diverse academic realms. The institute is dedicated to cultivating lifelong connections both within and beyond the Vanderbilt community. With a distinct emphasis on diversity, it garners national recognition for pioneering advanced models while scrutinising their societal and ethical repercussions. The institute's top-tier educational programmes, consistently ranked at the forefront, empower master's students with the essential skills to excel within the evolving domain of AI and Data Science. Additionally, the institute is resolutely committed to collaborating with local and regional nonprofit organisations, forging impactful solutions for the betterment of society and the broader community.

Location of the School

The Data Science Institute (DSI) is located at Vanderbilt University in Nashville, Tennessee. It stands as a premier research institution for AI and Data Science studies, fostering interdisciplinary collaborations and lifelong networks.

Life at the Data Science Institute

Life at the Data Science Institute (DSI) at Vanderbilt University offers an enriching and vibrant experience for master's students. With a strong emphasis on efficient research in AI and Data Science, the DSI provides a collaborative environment that encourages students to engage with diverse researchers across various disciplines. This fosters lifelong connections within the Vanderbilt community and beyond. The institute is committed to cultivating a nationally recognised reputation for diversity, innovative models, and ethical considerations in AI while equipping students with the skills and knowledge to excel in the rapidly evolving field.

Additional Benefits of Studying at the Data Science Institute

Choosing the Data Science Institute (DSI) for your advanced studies brings forth a multitude of advantages that extend beyond academic excellence, enriching a student's educational journey in the realm of AI and Data Science:

Generative AI and Future Learning Initiative: The institute's focus on Generative AI and Future Learning Initiative equips students with the skills to harness the transformative potential of AI responsibly

Engagement and Innovation: Participate in workshops, courses, and events that fuel their understanding of AI's ethical implications, security concerns, and broad societal impact

Supportive Community: Students can be part of a vibrant community of peers, faculty, and experts dedicated to advancing AI and Data Science

Admissions criteria

To be considered for admission at Vanderbilt University, US applicants should meet the following requirements:

A four-year Bachelor’s Degree that is equivalent to a U.S. Bachelor’s degree Strong evidence of programming skills A solid foundation in quantitative subjects such as multivariable calculus, linear algebra, computer science, advanced programming techniques, calculus-based probability, and statistical inference will be well-suited for the programme's rigorous curriculum Unofficial transcripts Three letters of recommendation A Statement of Purpose (maximum 3 pages) A resume/CV highlighting programming skills, professional experience, and academic achievements Test Scores: GRE or GMAT scores are optional for U.S. candidates GPA(minimum of 3.0)

International candidates seeking admission to the master's program should meet similar criteria, with a specific focus on English proficiency. The additional requirements for international students are:

Proficiency in English must be demonstrated through TOEFL, IELTS, Duolingo test scores, or by holding a degree from an English-speaking institution of higher education

Job placements

The Data Science Institute at Vanderbilt University is dedicated to ensuring the success of its MS Data Science programme graduates in their chosen careers. Partnering with the Owen Graduate School Career Management Center (CMC), the institute offers personalised support from admission to postgraduate. Students can benefit from personalised guidance through a dedicated career coach, Brook Meissner. Additionally, Srinidhi Panchapakesan specialises in refining resumes and cover letters for students. These services help students navigate their post-college careers effectively. Heather Yockey manages Employer Relations and recruiting fosters strong connections with employers and identifies opportunities for student placement. This ensures students have access to diverse job opportunities and are well-prepared for their careers. Notable alumni have excelled in various roles, including Teddy Weaver as Data Scientist and Engineer at Thyme Care, Lori Chiu as Member Experience Senior Analyst at Tinder, and Meena Muthusubramanian as Data Scientist at Intel Corporation.