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International Academic Affairs

Data Mining and Business Intelligence for Cyber Security Applications Summer Program

​​Short Description:
The purpose of this unique program is to provide theoretical, practical knowledge and hands-on experience. Students will learn the basic tools of data mining and the utilization of machine learning techniques for solving cyber security problems. In addition, students will take part in professional field trips to leading companies, in order to enhance their understanding of data mining and cyber security.

Course dates: July 3rd 2018 - July 31st 2018
Application deadline: February 25th, 2018

The program will be taught in the English language.


Long Description:

Data Mining and Business Intelligence focuses on automatic data analysis and the extraction of information and knowledge. Over the last few years, data mining has become a crucial factor in the competitive environment and serves organizations at all levels, from operational decisions to the improvement of strategic planning.
The summer program in data mining and business intelligence will meet the obvious need for academic training in big data, business intelligence and data mining methods, especially for cyber security enhancement.
Ben-Gurion University of the Negev was founded in 1969, and established itself as one of the leading universities in Israel. Over the years, BGU has acquired an international reputation, and was ranked 18th in the QS ranking for Universities under 50.

In 2012, Israel’s Prime Minister declared that Beer Sheva and BGU are to become the country’s cyber security command center. Consequently, the Cyber Security Research Center and the Big Data Lab were established at Ben-Gurion University of the Negev in 2013. These developments have transformed BGU, with its research centers and leading academic faculty, together with the Advanced Technologies Park, into an ideal environment for a summer program in these fields.

World-renowned professors and lecturers:
Prof. Yuval Elovici, Prof. Lior Rokach, Dr. Nir Nissim, Dr. Asaf Shabtai, Mr. Aviad Cohen, and Mr. Yisroel Mirsky.

Program Structure:
Basic and Advanced Methods in Data Mining (3 credits)
Machine Learning-Based Solutions for Cyber Security Problems (3 credits)
Professional field trips, visiting the industry’s leading innovators, supporting organizations and additional figures of the data mining and Cyber Security ecosystem.
Touristic tours

Requirements:

  1. Students in their third year of undergraduates studies or at any stage of their graduate studies in Information Systems Engineering, Software Engineering, Computer Science, Electrical Engineering, Communication Engineering, Data Science, Applied Mathematics, Statistics and Industrial Engineering & Management with Robotics or Information Systems track. The student must have a GPA of 82 or 3.0 at least.
  2. English proficiency required.
  3. Personal Laptop (windows OS).
  4. Programming experience - advantage
  5. All applications will be evaluated by an admissions committee.

Video:

https://www.youtube.com/attribution_link?a=yLnCjarKDpE&u=%2Fwatch%3Fv%3DDeh5buX_UDE%26feature%3Dshare
-Meetasha Rathi, Mukesh Patel School of Technology Management and Engineering, India

 


Please prepare the following documents:

  1. Up-to-date transcripts
  2. Course specific recommendation letter from the head of the department
  3. Motivation letter in which you explain why you want to attend this program (maximum one page long)
  4. CV
  5. Passport-format photograph (JPG)
  6. Scanned copy of your passport

Application Schedule

 - Application deadline: Feb 25th 2018
 - Notification of Acceptance: March 22th 2018
 - Orientation day: July 2nd 2018
 - Courses dates: July 3rd - July 31th 2018

How to Apply
Please visit our online application form
 
Tuition:
Application fee - $60
Including 6 credit certificate, accommodations, health insurance, and field trips - $5200*
*(not including airfare, meals and personal expenses)
 
Scholarships:
For outstanding students – scholarships are available.

For further information, please download our Brochure