Data science & AI online course

Your chances of receiving the scholarship depends on several factors:

Residency. You must live in the European Union.

Performance in the interview. You need to demonstrate a strong drive to learn and grow, both during the program and in your future career.

Commitment. You should have a clear intention to work full-time in a related industry after completing the program. You also have to be able to dedicate at least 20 hours per week to your studies.

Competition. The scholarship is awarded to the top 5% of applicants. Your chances of receiving the scholarship will depend on the performance of other applicants in the interview process.

If you meet the residency requirement, showcase your potential and commitment during the interview, and rank among the top 5% of applicants, you will have a good chance of receiving the scholarship. However, please keep in mind that the competition is really high.

The salary you can expect after completing our program depends on a few key factors:

Location. For example, salaries for the same position tend to be higher in Silicon Valley compared to Lithuania due to differences in cost of living, demand, and other factors.

The position you’re aiming for. It's all about aligning your skills and experience with the role you're seeking.

Your experience and skills. The more you can showcase your value, the better your chances of securing a competitive salary.

Interview performance and negotiation skills. How you perform and answer interview questions can influence the initial offer you receive. Plus, your final salary will also depend on how well you navigate the negotiation process after the interview.

Salaries in Europe and elsewhere

If you’re interested in working in another European country, we recommend starting with Glassdoor’s base pay calculator. Choose the relevant country or city to get an idea of the salary range for your desired position.

Keep in mind that base pay estimates can be off by up to 20% because they average out junior, mid, and senior positions. Despite this margin of error, these estimates can still help you identify reasonable offers. Aim for a salary close to the base pay level and don’t feel pressured to accept offers that fall more than 20% below the base salary in a particular country.

We're not just here to teach you the skills you need to succeed – we're also committed to helping you launch your career and secure your dream job! Here are three ways we support our learners:

Endorsement. Our endorsement program is designed to give you a real-world experience of the hiring process from start to finish. We'll guide you through optimizing your LinkedIn profile, structuring your GitHub projects, getting interview questions right, and applying for jobs in a systematic way.

Referrals to hiring partners. Once you’re endorsed by Turing College, we’ll recommend you to our hiring partners, who are always on the lookout for talented specialists.

Referrals from our network. Our mentors come from companies like Tesla, Google, IBM, and Vinted. When they see your skills and potential, they can refer you directly to their companies. In most cases, a referral from them is your ticket straight to the interview stage.

If it's been more than 24 hours since you submitted your application and you haven't received a response from us, here's what you can do:

Check your spam/promotions folder. Sometimes our emails can get lost, so take a look to see if our message ended up there by mistake.

Reach out to us via live chat. You’re already on our website, so click on the chat button at the lower right-hand corner of your screen. Our friendly team is always ready to help you out and make sure your application gets the attention it deserves.

Our scholarship terms are designed to attract dedicated learners who are passionate about careers in data science. To keep your scholarship, here are a few things to keep in mind:

1. Job search and hiring conditions:

a. During your studies and for one month after you graduate, you’ll need to inform Turing College before applying to any company (including our hiring partners). This way, we can give you personalized advice and support to help you find the perfect opportunity. One month after graduation, you’re free to apply anywhere without checking with us.

b. If one of our hiring partners offers you a job that meets your expectations (we'll provide you with the salary range beforehand), we expect you to accept it unless you have a good reason not to. An example of a good reason would be you accepting another offer from a hiring partner or some unexpected requirements like relocation being added to the offer.

2. Keeping up with your learning pace:

For you to graduate from Turing College in a reasonable timeframe, we define a minimum learning pace requirement. We have seen that only by maintaining a consistent pace can students successfully graduate from Turing College. The minimum learning speed for students who receive a 100% scholarship are as follows:

For our Data Science program, your average learning speed should not be slower than completing a sprint in 3-4 weeks on average. This equates to finishing 3 modules in 9-11 months;

For our Data Analytics program, you should complete 4 modules in 8-10 months.

For our Digital Marketing & Analytics program, your graduation is expected within 6-10 months.

Violating one of these conditions will lead to termination of your scholarship. If a scholarship is terminated, you will need to return the full amount of the scholarship you have received. We implement these scholarship terms to ensure we attract students who are serious about pursuing careers in a related field to their program.

Your chances of receiving a full scholarship depend on several factors:

Motivation: You need to show strong motivation to create AI-driven solutions, either within your company or as part of your own startup.

Commitment: You must have a clear intention to work full-time in the tech field or create your own startup after completing the program. Additionally, you need to dedicate at least 15 hours per week to your studies.