​​​​The M.Sc. program is a two-year program.

The chairperson of the teaching committee is: Dr. Gilboa Arye.

Students are required to complete the following courses during the two-year program:


A. Mandatory course: Writing a Scientific Paper


B. Core courses within the track of study

C. Departmental and student seminars - mandatory courses


D1. Bioinformatics – choose 1 of 3 courses

D2. Statistics – choose 1 of 3 courses

D3. Tools – choose 1 of 5 courses

D4. Environmental Applications – choose 1 of 5 courses


E. Electives 7
Thesis Writing

A. Mandatory course:​

This course should be taken in the 3rd or 4th semester of your degree​.

Course #LecturerSubjectCredits
001-2-0153Dr. Scott Hansen and Dr. Christopher J. ArnuschWriting a Scientific Paper2

B. Core Courses within the track of study:

Students are required to take all 9 credits from the core courses:

Course #LecturerSubjectCredits
001-2-5066Introduction to scientific computing with PythonDr. Scott K. Hansen3
*Future Course*The water-food-energy nexusDr. Ilya Gelfand 3
001-2-4028‎Remote sensing for agriculture, rangelands, and forestry‎Prof. Arnon Karnieli3

C. Seminars and Thesis Writing - Mandatory Courses

​Students are required to attend 4 Departmental Seminars (one seminar per semester).​

Course #LecturerSubjectCredits
001-2-2222Please check the university course file
Departmental Seminar 0

 Students are required to present two seminars (one student seminar per year).

Course #LecturerSubjectCredits
001-2-2666Please check the university course fileStudent Seminar (first year)0.5
001-2-2667Student Seminar (second year)0.5

In the third and fourth semesters, students must register for Thesis Writing.

Course #LecturerSubjectCredits
001-2-9991 Thesis Writing A6
002-2-9992 Thesis Writing B6

Students who have completed the above Thesis Writing courses and who continue their studies for a fifth semester must register for the following course:

Course #LecturerSubjectCredits
001-2-1000Thesis Writing – Continuation

D. Elective Courses within the track of study:

​​D1. Bioinformatics​

Students are required to choose 1 of 3 courses:

Course #LecturerSubjectCredits
001-2-2046Prof. Aaron FaitAnalysis of biological networks‎3
001-2-5041Dr. Menachem SklarzPractical bioinformatics for environmental studies3
372-2-5331Dr. Assaf ZaritskyData science in cell imaging3

D2. Statistics

Students are required to choose 1 of 3 courses:

Course #LecturerSubjectCredits
001-2-3021Dr. Itamar GiladiANOVA and design of experiments3
001-2-4029Prof. Yosef AshkenazyIntroduction to statistics and probability using Python3
001-2-4054Prof. Golan BelStatistical analysis (prerequisite: basic statistics)3​

D3. Tools

Students are required to choose 1 of 5 courses:

Course #LecturerSubjectCredits
001-2-5070Dr. Scott K. HansenPractical data science and machine learning3
001-2-6002Dr. Aviva PeetersTheory and applications of geographic information systems3
001-2-4024Prof. Arnon Karnieli and Dr. Natalya PanovSatellite image processing (prerequisite: 001-2-4028)3
377-2-5211Prof. Yitzhak YitzhakySelected topics in image processing3
001-2-2206 Prof. Arnon Karnieli and Dr. Manuel SalvoldiEarth observation space missions ‎for agricultural monitoring (prerequisite: 001-2-4028)3​

D4. Environmental Applications

Students are required to choose 1 of 5 courses:​

Course #LecturerSubjectCredits
001-2-3094Dr. Uri RollMacro ecology2
001-2-2039Prof. Naftali Lazarovitch and Prof. Jiri SimunekAdvanced modeling of water flow and contaminant transport in porous media (prerequisite: 001-2-2038)2
001-2-2072Prof. Nurit AgamAre model computations correct or are measurements? (prerequisite: 001-2-5030)2
001-2-5055Prof. Naftali LazarovitchOperation and analysis of environmental monitoring systems2
001-2-2043Prof. Shimon RachmilevitchPlant stress indicators: Methods and instrumentation2

E. Electives:

Elective courses for students who are in their second year of studies with the approval of their supervisor and upon approval of the teaching committee.​​