Applications to Y-DATA Program 2024-25 are open

Start your professional journey
in Applied Data Science with Y-DATA

Learn Practice Launch

Practice
Real projects by top companies
Format
Frontal studies in Tel-Aviv
NIS Tuition [discount options available]
29,000
Schedule
Tue and Fri
Weekly hours [workload]
20-25
Next Class
2024 Oct
About
It bridges the gap between short-term online courses and a full-time MSc-level program. Y-DATA is designed by top-notch experts from the academy and the industry and taught at Tel Aviv University campus. The program is localized to enhance the Israeli tech community and the global AI ecosystem.

Y-DATA is an intensive one-year career advancement program in data science

What is Y-DATA

What
is Y-DATA

Target audience

Fresh university graduates looking for DS roles

Professionals from tech IDF units

Researchers and advanced degree graduates

Code professionals from IT industry

Who is this for?

Advantages
ongoing involvement with a community of experts
Networking and more
Access to cloud computation resources
Cloud resources
Real-world industry project for your portfolio
Real projects
and soft-skills workshops tailored to industry needs
Dedicated career center
rate in DS/ML positions
92% employement
employed in top tech companies
250+ graduates
Over 6 years’ proven experience in Israel
6 years
of intensive in-person training
250 hours

What will we provide

Applications to Y-DATA Program 2024-25 are open
Start your professional journey
in Applied Data Science with Y-DATA
Our projects

Industry projects

Web technology detection
Finding Genes with Similar Functional Homology
Text Classification Modeling Improvements
Dynamic Range Prediction for Vehicles
Diastole/Systole Indetification in ECG
Wix Restaurants Segmentation
LLM Agent-Managed Interface for Business Monitoring
Detecting Faulty Sensor Data
Hourly Demand Prediction
Product Clustering and Fraud Risk Assessment
Oral Anomaly Detection
Botnets Site Clustering
Multi-domain Digital Pathology Stain Style Transfer
Classification and Prediction of Epileptic Activity in EEG
Multi-domain digital pathology styletransfer
Admission scheme
August - September 2024
Meet Y-DATA team in person or online and tell us more about your background, experience, and interests, as well as your motivation and goals for the program. A few technical questions might be asked during the interview.
Interview
July-August 2024
Take an online test assessing your analytical and programming skills. Next online tests will take place in July-August 2024.
Online Test
Submit your application by filling the form. You will receive an email providing further information about the test and the following stages of the process.
Application
03
02
01
To achieve our results, we need to ensure our candidates have the availability and capability of succeeding in the intense study program we offer.
Y-DATA employs a rigorous selection process to ensure
a motivating and encouraging learning environment.

Admission process

Feedback

Our Alumni

Great experience so far! Personally, for me, the course exceeded my expectations. I usually stay away from courses since I'm a self learner. Courses usually spend too much time on the unimportant parts (too much history, too much theory, repetitive exercises etc.)

However, during Y-DATA courses we had exactly the right balance of practice and theory.
Arseny Levin
The course is great, I think it's the best professional course I have taken and for me personally, it's a good substitution for a master's degree (for now). Even though I'm already working as a Data Scientist i still learn new things, there are always fields that I'm less proficient in and the course fills the gap.
Fraud Detection Lead at DoubleVerify
Tal Ben-Yehuda Heletz
It was obvious to me that math is the field for me. I did my B.Sc and M.Sc in math. In the industry, you can do a lot with math, but you must have knowledge in computer science as well.

Y-Data was exactly right for me - it let me combine my background with computer science and strong data science foundations.
Deep Learning Researches at Trigo
Andrey Nikitin
Data scientist at Wix
Liad Yosef
Client Architect at Duda
You know they say go with your passion, right? I've been programming since I was a kid, but I never really dealt with Data Science or Machine Learning before Y-Data. I already knew the math part of the introductory courses but they were so fast-paced that I wasn't bored and quickly enough we got into supervised learning and deep learning. This gave me the tools to do things that I couldn't have done before, and let me explore and widen the area of my thoughts.
I'm an Engineer. I studied math and physics, and financial engineering. I choose Y-DATA because I wanted a better understanding of the algorithms. When you have access to machine learning techniques, you have access to more tools, allowing you to do more things. For instance, in my field, in time-series analysis, you want to better predict and better focus. Studying in Y-DATA is like building a muscle. You need to work on a muscle to be a better, stronger person. It's a very good program because it shows many things.
Jonathan Ohnona
Data Scientist at eToro
Nir Aviv
Software Engineer and Data Scientist at Fiverr
For me, the most important aspect of the program is the industry project. There's nothing like working on a real problem with experts in the field. I feel that the classes prepared me well for this kind of hands-on data science work. In particular, the variety of lecturers from tech and academia is definitely an advantage of the program.
Lior Tabori
Data Scientist at Agoda
I wanted to get into the world of data and data science. I had a feeling that this field is mine. That was my main purpose, to get the most out of this program and out of the industry project. I think our learning group was most important in my experience. It was small but diverse. Everyone is a specialist in something a little bit different so we really helped each other. There are very good students in this program.
I realized that as a product manager in a travel tech startup, I needed heavy tools to analyze data, do predictions and more. So I started checking all kinds of data science boot camps, and machine learning academies, but unlike most of them, Y-DATA looked realistic. I chose Y-DATA because one year is better in terms of understanding things. Also, I could combine it with my previous work.
Rachel Shalom
Data Scientist at Owlytics
Yechiel Levy
CTO at OptimalQ
In a young startup like the one I own, we are doing a bit of everything, from big data to DevOps to data science. As we grow bigger. algorithms get more complicated. I joined Y-DATA to understand my data team better. Now I can understand their work better, know how they're approaching the problem. It helps us move along much faster and bridges the gap between management, engineering and data science teams.
Ido Nissim
Data Engineer at AllCloud
I think the very best thing about the course is the people. The selection of the students for the course was really good. Heterogeneous people from all kinds of fields and different backgrounds - that's really good. We had some projects together, and worked as groups, which was a good way to get to know other people. We were all sitting in the classroom together, talking and trying to figure out how to do the homework later on. It's great.
Amit Alon
I was looking for the best place to get ML Background, to learn more techniques, better and wider knowledge, especially in deep learning, which I didn’t know everything about. I chose Y-Data because it was presented as a program that can mediate the gap between academia and industry. This was exactly what I was looking for. I don’t have professional experience in ML but Y-Data gave me a really good background so I can bring a lot to the table in addition to my research background.
Data Scientist at KHealth
Team

Our Team

Eden Shochat
#popup:eden-shochat
Elena Bunina
#popup:elena-bunina
Ira Cohen
#popup:ira-cohen
Kira Radinsky
#popup:kira-radinsky
Lior Rokach
#popup:lior-rokach
Daniel Nevo
#popup:daniel-nevo
Guy Shtar
#popup:guy-shtar
Inbar Huberman
#popup:inbar-huberman
Karin Brisker
#popup:karin-brisker
Kosta Rozen
#popup:kosta-rozen
Lior Sidi
#popup:lior-sidi
Niv Haim
#popup:niv-haim
Noa Lubin
#popup:noa-lubin
Omri Allouche
#popup:omri-allouche
Oren Elisha
#popup:oren-elisha
Rachel Buchuk
#popup:rachel-buchuk
Segev Arbiv
#popup:segev-arbiv
Shaul Solomon
#popup:shaul-solomon
Shuki Cohen
#popup:shuki-cohen
Talia Tron
#popup:talia-tron
Yoel Zeldis
#popup:yoel-zeldis
Yuval Belfer
#popup:yuval-belfer
Dina Bavli
#popup:dina-bavli
Efrat Egozi-Levi
#popup:efrat-egozi-levi
Ishai Rosenberg
#popup:ishai-rosenberg
Maya Malamud
#popup:maya-malamud
Moshe Mash
#popup:moshe-mash
Netta Lieber
#popup:netta-lieber
Nir Ben Zvi
#popup:nir-ben-zvi
Shani Kotler
#popup:shani-kotler
Tom Haramaty
#popup:tom-haramaty
Tomer Ahrak
#popup:tomer-ahrak
Yair Meidan
#popup:yair-meidan
Partners

Our Partners

The Association of Engineers, Architects and Graduates in Technological Sciences in Israel
Intro to DS course in partnership with AEAI
College of Management Academic Studies
Academic courses to MBA students in the field of data science by Y-DATA
Nebius AI
Is a leading AI-centric public cloud platform designed to support the entire machine learning lifecycle.
Tel Aviv University
Partnership with Blavatnik school of Computer Science.
Helmholtz Information & Data Science Academy
HIDA connects and serves as the roof to 6 newly founded data science research schools linked by a network of 14 national research centers and 17 top-tier universities across Germany.
Amazon Web Services
AWS credits for Y-DATA students
popular questions

FAQ

Still have any questions?