FAQs

1. How long does it take to complete the degree?

Answer: Minimum of two years although most students prefer to extend it

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2. What language is the program taught in?

Answer: All mandatory courses are in English. Some elective courses are available in English and some in Hebrew

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3. What does the final project look like?

Answer: The projects involve actual use of data science and machine learning, they will vary in scope and depth. Some projects can be extended to MSc theses.

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4. Is it possible to combine the program with work?

Answer: Yes, the program is designed to support 80% employment in parallel. Time investment in the program is flexible and typically ranges between 1 to 3 days a week. Within reasonable boundaries, students can decide their own pace, in coordination with the program team.

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5. What are the prerequisites for the program?

The perfect background is a BSc in Computer Science or a degree in math, statistics or electrical engineering. A plan for preparatory classes will be developed for students who need to bridge some gaps. This includes basic CS and math. For some students, the preparatory courses may be studied in parallel to the studies in the project. Others will be required to complete the preparatory courses prior to their acceptance to the program. 

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6. Is knowledge in Python a prerequisite for the program?

Preferably yes. However, a Python preparatory course is offered to students who have less experience in Python. If not required to take the python preparatory class but you still think your Python level is not sufficient then we recommend taking it. All courses will require significant Python proficiency.