Launching Data Science and AI Leaders for Social Impact
At the EquiTech Applied Data Institute, we empower recent graduates and young professionals to become the next generation of data-savvy leaders in their respective domains. Our research-based curriculum, anchored in small-group learning and led by world-class faculty, provides a practical understanding of applied data science and AI across various domains. How will AI transform law, medicine, and art? How can modern data science tools be used in academic research? The Applied Data Institute will provide the tools, networks, and perspectives you need to thrive in the 21st-century workforce.
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Build Scalable Foundations
Data science tools are often taught as a laundry list of disjointed tools – an approach that fails to build a coherent understanding required to interrogate data in ever-evolving contexts. The ADI will focus on building scalable and robust foundations by digging deep into the roots of the discipline: data collection, measurement, and statistics.
Build Critical Intuition
Tackling complex real-world problems requires a mindset of asking salient questions, experimentation, and a rigorous analytical approach. Through discussion-based classes and the capstone projects, the ADI aims to cultivate a culture of learning like scientists.
Build Effective Solutions
Modern AI applications require dealing with messy and incomplete data. The ADI teaches a data-centric approach to build AI applications in new domains. Learners will critically investigate data collection, data quality, and the biases that might result from bad data.
“ADI brought me together with exceptionally motivated, thoughtful, and talented people from all over the world. Everything I am doing in the data science field right now is because of the introduction I got from Equitech Futures. I wasn’t sure if I could even get in, but they had confidence in me, and they were the first ones who gave me a chance to learn something in AI.”
Seba Nazary, Germany
Modern data science is best learned by doing. While a number of bootcamps and data science courses focus on specific tools (for example, mastering specific packages in Python), we take a different approach. The Applied Data Institute teaches you how to "think like a data scientist" via hands-on projects and "idea labs" that encourage you to explore topics deeply. You will also cultivate the essential skill of "learning to learn" which will equip you to tackle present and future challenges.
What you’ll learn
Foundations of Data Science
Applied Artificial Intelligence
“Being a part of Equitech Futures was one of the most remarkable learning experiences in my life. The community was very supportive, the program intense, and the knowledge transfer was timeless. Additionally, weekly seminars with industry practitioners put all the learnings in perspective from a practical sense. If you would like to advance ideas at the frontiers of science, technology, and societal challenges, this is the place for you.”
Mitchell Odhiambo, Kenya
The ideal candidate for the Applied Data Institute is a recent college graduate with technical skills looking to cultivate their skills in the context of data science and AI. We do not consider GPAs or grades in the application process, but we require fluency in programming and mathematical reasoning. We are looking for people who are curious, analytical, persistent, and open-minded when confronted with challenging problems.
A technical screening will examine candidates for fluency in Python programming (including NumPy, Pandas, & matplotlib) and mathematical reasoning (e.g. algebra, calculus).
Three criteria for eligibility are:
→ Applicants must possess a completed bachelor’s degree.
→ Applicants must be fluent in Python programming (including NumPy, Pandas, & matplotlib) and be comfortable with algebra and single-variable calculus.
→ Available to commit 20-25 hours per week over 10 weeks of instruction.
We welcome applicants from all professional, geographic, cultural, and socioeconomic backgrounds. We particularly encourage women and individuals from underrepresented groups to apply for the Applied Data Institute.
→ Written Application
→ Technical Screening
→ Faculty Interview
“The faculty at Equitech Futures create a very positive space for learning that encourages you to admit when you don’t know something, think independently and learn by doing. They help build leaders that build the future.”
Aakriti Ghimire, Nepal
Over the 10 weeks of the ADI, you will build a skills portfolio that showcases your programming, data analysis, writing, and speaking skills. This portfolio can be used in applications for jobs as well as Masters/PhD programs. We also provide certificates and letters of recommendation on request, that attest to the quality of work during the ADI.
Access to a Lively, Tight-Knit Network
Alumni from the Equitech Scholars Program are invited to monthly Leadership Labs with leading practitioners in tech and academia where open dialogue is encouraged. The network also supports career preparedness with workshops and mentorship opportunities.
Continued Career Support
You will be a part of the Equitech Futures network even after the 10 weeks are over. You will receive specialized career development guidance through workshops, access to a mentor network, and personalized support on career planning. We are particularly supportive of students who want to take riskier career paths that have the potential to make a great social impact in the future.
Tuition and Financial Aid
Tuition for the Applied Data Institute is US $9500 and includes:
- Ten weeks of instruction
- Career support for participants throughout 2024
- Access to ongoing Equitech Alumni Network programming
With generous support from our philanthropic partners, we are providing full tuition waivers for each student admitted to the ADI.
“Being a part of the Equitech Futures community has given me the opportunity to work with people across the globe. I came together with alumni not only with diverse perspectives and backgrounds but also geographic locations. It is a truly global experience.”
Raunaq Jain, India
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