Learn. Practice. Launch.
Start your professional journey in Applied Data Science with Y-DATA
Next class applications will be open in April 2021
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Highlights

Next class start:
October 2020
Workload:
15-20 weekly hours
Where:
TAU or BGU campus (Tel Aviv or Be'er Sheva)
Industry Projects:
Real projects by top companies
Tuition Fee:
26k ILS (Or apply for success-based education*)
Flexible Financing:
Pay when you can

Y-DATA

Y-DATA is an intensive one-year career advancement program in data science that bridges the gap between short-term online courses and a full-time MSc-level program. Y-DATA is designed by the Yandex School of Data Science and taught at Tel Aviv University campus by top-notch experts from the academy and the industry. The program is localized to enhance the Israeli tech community and the global AI ecosystem.
What will we provide
250 hours of intensive
in-person training
Real-world industry project for your portfolio
Opportunity to enjoy Success-Based education (Pay back only once you graduate and start earning)
Access to cloud computation resources (up to 5000$ in credits)
Networking and more - ongoing involvement with a community of experts
Full access to our Coursera courses for supplementary studies
What will you get
Practical experience with full cycle data science industry project
Fluency in Python and its relevant tools (scikit-learn, pandas, matplotlib, numpy)
Extensive experience in neural networks and their applications in NLP and computer vision. Familiarity with PyTorch and TensorFlow
Practice in reading scientific papers and presentation of papers and ongoing research
Certificate of completion

Y-DATA offers a unique combination of advantages not found in other programs

Online coursesOffline coursesAdvanced degreeY-DATA
In-depth understanding of theoretical foundations
Experience working on practical, real-world challenges
No upfront cost: option to pay only once employed in the field
Introduction to current research and advances
Thorough candidate screening process
Time commitment compatible with working in parallel
Experienced
Industry mentors
Access to computational cloud resources for all your projects
We certainly do a generalization here and some private offline programs or advanced degrees in academy provide more than mentioned here. However, this table provides a fair look into the different paths available towards a data science career
Y-DATA vs Online courses
In-depth understanding of theoretical foundations
Experience working on practical, real-world challenges
No upfront cost: option to pay only once employed in the field
Introduction to current research and advances
Thorough candidate screening process
Time commitment compatible with working in parallel
Experienced
Industry mentors
Access to computational cloud resources for all your projects
Y-DATA vs Offline courses
In-depth understanding of theoretical foundations
Experience working on practical, real-world challenges
No upfront cost: option to pay only once employed in the field
Introduction to current research and advances
Thorough candidate screening process
Time commitment compatible with working in parallel
Experienced
Industry mentors
Access to computational cloud resources for all your projects
Y-DATA vs Advanced degree
In-depth understanding of theoretical foundations
Experience working on practical, real-world challenges
No upfront cost: option to pay only once employed in the field
Introduction to current research and advances
Thorough candidate screening process
Time commitment compatible with working in parallel
Experienced
Industry mentors
Access to computational cloud resources for all your projects
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Our Team

Applications will be open again in April 2021.

FAQ

Applications & Admission Process
How does the application process work?
The application process consists of three steps. First, candidates apply online through our website. Second, candidates take an online test. The test assesses analytical and basic programming skills and contains undergraduate level statistics and probability questions, data analysis questions, and short coding challenges (candidates can select from a few popular programming languages that our platform supports). The test must be completed within three and a half hours.
Y-DATA will offer two separate 4-day time windows to take the online test during July-August. Candidates who pass the online test will be invited to an in-person interview with Y-DATA team members. The interview is an opportunity for our team to learn more about candidates' background, experiences, and interests.
What level of math knowledge is expected from the candidates?
We assume our students have at least a bachelor STEM degree or its equivalent.
We therefore expect all candidates to have full knowledge of first-year university level material in math. In order to ensure suitable level of pre-existing knowledge, we require all candidates to complete the Mathematics for Machine Learning specialisation on Coursera prior to the beginning of their studies.
Candidates who are accepted to the program will have the cost of the course deducted from their tuition fee.
What level of statistics and probability knowledge is expected from the candidates?
We assume our students have at least a bachelor STEM degree or its equivalent.
We therefore expect all candidates to have full knowledge of first-year university level material in probability and statistics. You may want to review basic topics in those subjects before taking our online test.
During the program we won’t teach these topics from scratch, but we will provide a quick recap before diving into the more advanced topics required for later ML courses.
What level of coding skills is required to enter the program? Do you require knowledge of specific languages?
We require some experience in at least one of the common programming languages and an understanding of common data structures. Programming tasks are a large portion of the online test, and assume existing programming background. During the program itself, the courses and home assignments will be in Python.
We recommend candidates to have a working knowledge of Python before starting the course, but the online test may also be done in Java and C++.
Can I apply with zero coding experience?
Candidates without any coding experience won’t be able to take part in our program. If you have no coding experience but are looking to get yourself started in this domain, a good place to start is by taking one of the Yandex.Practicum courses. The Data Analyst and Data Scientist tracks offer an opportunity to learn Python and fundamental data-related skills from scratch and provide a better starting point for candidates with zero coding experience.
Can you provide more details about the online test? What should I do to prepare?
This year online test will be available on Yandex.Contest platform during a 5-day long time window July,29 - Aug,2. Full details regarding the exam's format and platform will be provided to applicants shortly before the test.
You can find one of our previous years’ exams here. You can use it for practice and to better understand what kind of questions to expect - this year’s exam will be similar in style and structure. The sample test has no limit on time or number of attempts (while the real exam has a limit of 3.5 hours and can only be taken once).
Beside the sample test, if you don't write code daily, we recommend brushing up on your coding skills. If you'd like to sharpen your Python skills, some good sources are:
What is late application?
Regular applications for our October batch were closed on July, 15th. First online test window is open from 29/7 until 2/8. We might open another test window at the end of August. Decision on second window will be made by 9/8. Candidates that apply during late applications period will be able to continue the process if second window is opened.
Time Commitment
What is the time commitment for this program? Can I combine it with working or academic studies?
The weekly workload consists of 8 hours of frontal lessons (one mid-week evening + Friday morning) and approximately 15-20 hours of independent work on assignments and projects. We expect at least 80% attendance at lectures and seminars.
Due to the workload, in addition to the 8 hours of frontal lectures, we require our participants to have at least one full weekday available for work on classwork and industry project. Therefore, candidates are required to reduce full-time positions to 80% at most, and we strongly recommend reduction to 50% for the program's duration. Candidates who reduce their position in order to dedicate more time to studies may be eligible to take part in success-based payment model, and pay the course tuition only after graduation.
In some exceptional cases we may allow select students to take the program without an industry project in while maintaining a full-time job.
Participating in the program while working towards an academic degree is possible but depends greatly on the intensity of individual programs.
Is there a way I can take part in the program if I'm working full time and can't reduce my position?
It's possible, but depends greatly on your commitment.
In our experience, it is extremely difficult to combine the workload of Y-DATA with a full time employment. We strongly recommend all our candidates to reduce their positions in order to fully utilize the opportunities offered by Y-DATA.
On top of that, attendance of at least 80% in lectures and seminars is mandatory (one weekday evening and Friday morning), with weekly classwork and exercises requiring significant amount of time and effort.
If you believe you can combine this workload with a full-time employment, we offer a possibility to take the Y-DATA program without taking part in an Industry Project. In this case, you are still required to take all the courses and complete all the classwork as described, but without the additional workload of the industry project.
Program Information
Do I get a certificate at the end of Y-DATA program? What are the conditions for getting it?
Yes, you get a certificate of completion. To get the certificate you should earn a sufficient amount of credits and complete all the required coursework (you’ll get instructions for each semester).
Are there different tracks for the Y-DATA program?
Yes. Y-DATA offers two tracks:
  1. Full track: Full Y-DATA program, including an Industry Project in a leading company in the tech industry. To get a taste about the type of the projects, see Project section of the website.
  2. No project track: Students who can't attend the full program will have an option to participate in the program and complete it without the industry project. Even though we recommend the full Y-DATA experience, we do understand that some students can't make it.
The cost for the program without an industry project is NIS 21,000.
What is the language of the program?
The program is taught in English in its entirety. We have international students and faculty, and thus expect all our students to be fluent in English.
Do you accept international students? Do you offer any special assistance to international students?
Y-DATA is open to international students - we have international students amongst our existing students and graduates. If you are located abroad, you are welcome to apply as usual, and the admission process can take place remotely.
Participation in Y-DATA program requires to reside in Israel during its duration. According to Israeli law, in order to stay here the 8-month period (in case you don't have citizenship) you need to have a suitable visa (student visa or visa with work permit).
International students cannot take part in success-based model of payment, but we offer special tuition rates to international candidates who pass the admission process.
We have a collaboration with Tel Aviv University's international research student program, which may provide an opportunity to obtain student status and other benefits to candidates of suitable background.
If you are considering applying but have specific needs or questions, you can contact us directly at y-data@yandex-team.com
Is this program similar to the other Yandex School of Data Analysis branches?
No. The program is different in scope, duration and its final goals.
Cost & Payment options
What is the cost of the program?
The cost of the Y-DATA program is NIS 26,000.
In order to make the program affordable, we offer various ways to finance the tuition cost.
What are the ways to pay the program tuition?
There are two options:
  1. Upfront: You can pay the full cost upfront (payment can be made in up to 18 installments)
  2. Success-Based model: You won’t pay anything upfront (besides a commitment fee). Only after you graduate, and only once you start working, we will ask you to pay back a small percentage of your income until you repay the full tuition cost.
What are the Success-Based Model terms?
The Success-Based model enables students to attend the course without paying the full cost upfront.
Y-DATA invests in the students and believes in their ability to succeed, so in this model we get paid only once our graduates are successfully placed in the tech industry.
Once a student graduates and finds a job, we will ask them to repay for the training in the following manner:
  • You will only be required to pay back after you graduate and once you earn more than NIS 12,000 a month.
  • You will pay a sum of 10% of your salary for up to one year, up to the tuition cost. You will never return more than a total sum of NIS 26,000.
  • Every student accepted to the success-based model will be asked to deposit NIS 5,000 (non-refundable) commitment fee, prior to starting the program.
Is anyone accepted to the program eligible for a Success-Based model?
We reserve the right to offer participation in the success-based model to students who we believe are most suitable to benefit from it.
This model is an opportunity for candidates who are determined to enter the world of Data Science, but whose current circumstances would make it difficult to take part in the program otherwise. This is also an opportunity for highly motivated candidates who are planning to significantly reduce their employment in order to dedicate the maximum time and effort to their studies.
Only candidates who passed the personal interview and proved motivation, commitment and grit would have the opportunity to start the course using the Success-Based model.
When & Where
Where are the courses taking place?
Y-DATA currently has two branches - in Tel Aviv (on TAU campus) and in Beer-Sheva. You can select your preferred location when submitting your application.
When does the program start? What’s the schedule?
The program follows the standard academic year in Israel. Studies begin in October and last until June, in a two-semester format.
During the year there are 8 weekly hours of frontal lectures - one weekday evening (17:00-21:00) and
Friday morning (9:00-13:00).
This year (2020-1 academic year), studies will begin on October 20th.
When are admissions open? What’s the timeline for the process?
Admissions open each year in April and last until July.
The online test takes place in several time-windows over July and August.
Interviews take place over August and September.
The dates for this year’s online test time windows will be published in June 2020.
Industry Projects
What are industry projects? What are the advantages of doing one?
Industry projects are one of the key elements of Y-DATA program. We believe that the best way to achieve in-depth understanding and true mastery of ML tools and applications is through working to solve real-world problems. In order to do this, Y-DATA creates partnerships with top tech companies, offering our students hands-on experience working on data science problems in a real-world environment. Over the course of the second semester (January-June), Y-DATA students complete one full-cycle data science project offered by our partner companies, providing invaluable experience with the support of mentorship from our school experts and the project’s data owner.
How much time is spent on a project? Will I be working alone?
Work in an industry project is a serious commitment, both for the students and for Y-DATA and the providing company. The project requires a commitment of approximately one day a week over its duration (Jan-Jun). This may take the form of working from the company’s premises once a week or working independently from home the same amount over the course of a week. The work on the projects is done in teams of 2-3 students, and is supervised and guided by an experienced mentor assigned by Y-DATA, providing in-depth professional expertise, as well as a representative of the company, providing inside understanding of the data and the business needs.
Where can I see some examples of projects?
You can see brief examples of this year's projects and more information on Industry Projects on the Projects page. There you can also read the full project catalog for 2019-2020 year, and explore the diversity of potential projects.
In addition, you can see a video of Demo Day 2019 here, with Y-DATA students presenting their completed projects.
Can I do a project at the company where I work?
This is quite possible, though depends on the student and the company in question.
For many students, the ability to do an industry project in their current companies offers many advantages - familiarity with the projects domain and required background and systems, more flexibility in obtaining the time required to work on the project and more.
We are more than willing to allow such projects, but they must follow specific guidelines: First of all, the company must have a suitable data-driven product or project. In addition, the company must have pre-existing data science and ML expertise, allowing for oversight and supervision of the project. Lastly, the company should be willing to cooperate and follow regular project definition guidelines.
Still have any questions?

Stay in touch!