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

The chairperson of the teaching committee is: Dr. Tarin Paz-Kagan.

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

SubjectCredits
A. Mandatory course: Writing a Scientific Paper2
B. Core courses within the track of study6
C. Departmental and student seminars - mandatory courses1
D1. Bioinformatics – Mandatory course
3
D2. Statistics – choose 1 of 4 courses3
D3. Geoinformatics – choose 2 of 6 courses6
D4. Environmental Applications – choose 1 of 4 courses3
E. Electives 6
Thesis Writing12
Total42


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 6 credits from the core courses:

Course #LecturerSubjectCredits
001-2-5066Dr. Scott K. HansenIntroduction to scientific computing with Python3
001-2-3021Prof. Itamar GiladiBiostatistics3


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 fileDepartmental 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 – Continuation0

 

D. Elective Courses within the track of study:

D1. Bioinformatics

Mandatory course:

Course #LecturerSubjectCredits
001-2-2046Prof. Aaron FaitAnalysis of biological networks‎3

 

D2. Statistics and data science

Students are required to choose 1 of 3 courses:

Course #LecturerSubjectCredits
001-2-4029Prof. Yosef AshkenazyIntroduction to statistics and probability using Python3
001-2-4054Prof. Golan BelStatistical analysis (prerequisite: basic statistics)3
001-2-5074Dr. Elad LevintalEnvirotech - do it yourself sensors for environmental research3

 

D3. Remote sensing and geoinformatics

Students are required to choose 2 of 5 courses:

Course #LecturerSubjectCredits
001-2-2081
Dr. Tarin Paz-Kagan and Dr. Tamir Caras
UAVs for environmental and agriculture research
3
001-2-5070Dr. Scott K. HansenPractical data science and machine learning3
001-2-6002Dr. Aviva PeetersTheory and applications of geographic information systems3
001-2-9301Dr. Tarin Paz-KaganImage processing and computer vision (in BS)3
377-2-5211Prof. Yitzhak YitzhakySelected topics in image processing3

 

D4. Environmental Applications

Students are required to choose 2 of 4 courses:

Course #LecturerSubjectCredits
001-2-2039Prof. Naftali Lazarovitch and Prof. Jirka SimunekAdvanced modeling of water flow and contaminant transport in porous media (prerequisite: 001-2-2038)2
001-2-2043Prof. Shimon RachmilevitchPlant stress indicators: Methods and instrumentation2
001-2-3094Prof. Uri RollMacro ecology2

 

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.

Course #LecturerSubjectCredits
001-2-1103Prof. Hadas HawlenaIntroduction to Dryland Ecology4
001-2-2035Prof. Naftali LazarovitchCrop Irrigation Regimes3
001-2-2067Prof. Jhonathan EphrathUnderstanding and Modeling of Agricultural Systems - Guided reading2
001-2-2205Dr. Ido RegevModeling in the Earth Sciences3
001-2-2303Dr. Gilad GabaiFunctional Genomic Approaches in Plant Breeding​2
001-2-3047Prof. Merav SeifanGlobal changes and the biodiversity crisis2
001-2-4063​Dr. Victor Yishonsky
​Hands-on Image and Video Analysis without Coding: From Acquisition to Quantification
​3

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