Overview
Enrolling in the Machine Learning and Data Science programme at Reichman University offers students a unique opportunity to delve into the rapidly evolving field of data science. The university is recognised for its cutting-edge research and innovative teaching methodologies, ensuring that students are well-prepared to meet the challenges of the industry. With a strong emphasis on practical applications, the curriculum is designed to foster critical thinking and problem-solving skills that are essential in today’s data-centric world.
Quick Facts:
- Reichman University is renowned for its high academic standards and commitment to excellence. The institution consistently ranks among the top universities in the region, thanks to its state-of-the-art facilities and robust partnerships with leading tech companies. Students benefit from access to modern laboratories and resources, enabling them to engage in hands-on projects that enhance their learning experience. The university's strong connections with industry leaders facilitate networking opportunities and collaborations, which are invaluable for career advancement.
- Graduates of the Machine Learning and Data Science programme from Reichman University are well-equipped to pursue diverse career paths. Alumni have secured positions in prestigious organisations across multiple sectors, including technology, finance, healthcare, and consulting. Typical roles include data scientist, machine learning engineer, data analyst, and business intelligence analyst. The strong foundation provided by the programme enables graduates to thrive in an increasingly data-driven job market.
Programme Structure
Courses include:
- Computer Vision
- Natural Language Processing
- Image Processing
- Scientific Computing
- Numerical Analysis
- Computer Graphics
- Topics in Data Mining and Genomics
Key information
Duration
- Part-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before
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Language
IELTS & PTE Test Preparation
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- Live classes with current and ex-examiners
- Accurate score assesment, always
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Credits
Delivered
Campus Location
- Herzliya, Israel
Disciplines
Data Science & Big Data Machine LearningWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- Completed BA or BSc degree with a GPA of 90% (3.7) or above from a recognized academic institution.
- Applicants with a BSc in Computer Science need a GPA of 85% or above.
- Non-Computer Science students will be required to take the following 3 prerequisite courses:
- Introduction to Computer Science and Programming in Python; Data Structures Algorithms and Complexity; Introduction to Operating Systems and Databases.
- Students with an insufficient quantitative background will be required to complete the following prerequisite courses: Linear Algebra for Data Science; Calculus A/B; Probability Theory.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Reichman University and/or in Israel, please visit Student Insurance Portal.
Tuition Fees
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International Applies to you
Applies to youNon-residents27300 ILS / year≈ 27300 ILS / year -
Domestic Applies to you
Applies to youCitizens or residents27300 ILS / year≈ 27300 ILS / year
Additional Details
Living costs
Herzliya
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Machine Learning and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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