The following conditions apply to learners in the AI for Business Analytics, Data Analytics, Data Engineering, Data Science, Digital Marketing & Analytics, and Web Development pilot batch programs |
The AI Engineering Pilot batch learners may have separate requirements, which are communicated individually |
Turing College offers a self-paced learning model. It gives flexibility when choosing the goals and timeline best suited a learner’s individual needs and capabilities.
However, all scholarship receivers have a minimum pace that they need to reach to maintain their scholarship status.
Failure to complete a program at a required pace may result in termination of a scholarship. If you see that you cannot meet the required pace, inform us as early as possible via deadline extension request the Turing College platform.
The same deadlines will be shown for those who do not receive a scholarship, but in this case the deadlines are only for guidance – missing them will not have a negative effect.
Please be aware that the maximum access for the pilot batch is reflected in the settings of the Turing College platform, under the "My Profile" section.
Applicable to learners in the Data Analytics, Data Engineering, Data Science, Digital Marketing & Analytics, and Web Development pilot batch programs |
After completing the core part of the program, you will have the opportunity to choose a specialization module. The module is designed to help you further develop your skills and knowledge in specific areas of interest. Additionally, you will also have the chance to work on a Capstone Project, which will allow you to apply everything you have learned throughout the program plus your specialization, in a real-world scenario. Scholarship recipients are required to do at least one of the Specialization modules as it includes your capstone and mock technical interview. Other specialization modules will still be accessible if you would like to learn more than one as long as you have additional platform access time.
Scholarship recipients are expected to participate in stand-up session, one hour of a Virtual Classroom, or a total of 45 minutes in an Open Session approximately 3 to 4 times per month, depending on the specific requirements of their program.
This requirement has been added because we see – both from learner feedback and more than a year of data – that while attending events can sometimes feel like a chore, it very strongly correlates with the ability to solve problems more quickly, maintain a more regular pace, and keep motivation up in general.
All learners are required to attend at least 2 open sessions during the first month of their program. These are the times during which you can freely drop-in to a call with a Junior Team Lead or Senior Team Leads and ask any questions that might be relevant to you.
If a learner decides to terminate their enrolment in the program for personal reasons or is unable to complete it, there is no financial penalty. You can simply drop out of the program without further obligations by informing the Turing College team at study@turingcollege.com.
Only applicable for AI for Business Analytics learners from the pilot batch |
After completing the AI for Business Analytics program, you have the opportunity to enrol in further studies at a special discounted price of €3,000, which is a 53% reduction from the original cost of €6,480.
This scholarship for pilot batches provides learners with the flexibility to engage with the learning material while managing their time and commitments, all without any financial risk if they decide to drop out.