JU MSc In Remote Sensing & GIS Admission 2023-2023 : Application Period June 7 to 21

MSc In Remote Sensing & GIS Is A Regular Master's Program With A Duration Of One Year (36 Credit Hours)

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JU (Jahangirnagar University) MSc In Remote Sensing & GIS admission circular for academic year 2023-2024 is now open. Online application begins from 10 am June 7 and ends at 10 am June 21, 2023.

MSc In Remote Sensing & GIS is a regular master’s program with a duration of one year (36 credit hours). That means as a student of the program, one will receive all existing services of the university as regular residential ones.

MSc In Remote Sensing & GIS Entry Requirements :

Aspirants need to meet the following conditions, among others, to be eligible for application for the program :

  1. Four (4) year-long bachelor degree with minimum CGPA of 3.0 out of scale 4.00 or equivalent of 55% marks from these disciplines : Civil Engineering, Geography, Environmental Sciences, Architecture, Land Management, Disaster Management, Geology, Forestry, Oceanography, Urban & Regional Planning, Ecology, Soil Science, Agriculture (Agronomy, Agri. Engineering, Agroforestry & Environment), IIT, EEE, CSE, Physics, Mathematics, Statistics, Archeology etc.
  2. Age limit needs to be below 30, which will be counted against admission announcement date.

Attention : International students are also eligible to apply for admission into the program. For that, they need to perform all communication at deputy.academic@juniv.edu.

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JU MSc Remote Sensing & GIS Application Process :

You need to apply through the following link :

academic.juniv.edu

First you need to visit the above website, then click on the ‘Online Application for IRS & GIS Button or Link’. Again then click on ‘Apply’ button and register yourself with all necessary information.

Application Fee :

The fee for application is Tk.1000 which you need to pay by Rocket Mobile Banking Service (Biller ID 3240).

For details to this end, please see the MSc In Remote Sensing & GIA Admission circular 2023 available at the end of this article. So please keep reading!

Admission Related Dates :

Admission test (MCQ Part) of the MSc In RS & GIS program will take place on July 19 from 10 to 11 am. And viva voce part will be held on July 12 & 13 over 10 to 4 pm.

The final results of the admission test will be available on July 16 followed by admission from merit list over July 20 to 23. And potential admission from waiting list will take place during July 25 to 27.

Following admission process, classes are likely to begin August 1, 2023.

Admission Test Method :

Admission test of JU MSC In Remote Sensing & GIS Program have hundred marks in total. Of them, 95 marks go to MCQ type questions and the rest to Viva-Voce. MCQ type questions cover Bangla, English, Math, Physics (10 mark each), ICT (15 marks), Remote Sensing & GIS (20 marks each).

MCQ part has 95 questions in total with each carrying one (1) marks. Notably, there will be negative marking of .025 for each single wrong answer.

JU IRS & GIS Website :

For more, you can pay a visit to this following website :

https://www.juniv.edu/institute/irs

JU MSc Remote Sensing & GIS Admission Circular 2023-2024 :

For additional information, you need to see the admission circular provided below :

JU MSc Remote Sensing & GIS Admission Circular 2023-2024

Institute of Remote Sensing and GIS, JU : 

The Institute of Remote Sensing and GIS of Jahangirnagar University plays significant roles in filling up the capacity and knowledge gaps by providing skills development trainings, undertaking research projects/exercises and acting as knowledge sharing platforms. The institute aims to undertake research activities to better understand the complex nature of social-economic-ecological problems which are primarily stemmed from disaster and climate change impacts and provide solutions for addressing related challenges.

The IRS promotes interdisciplinary research using earth observation image data to understand the multi facets of the problems since the disaster impact pathways are generally non-linear and culminate cumulative impact conditions. Geo-spatial knowledge products could provide crucial information/results by analyzing multi-layered, complex nature of data and produce maps for the interdisciplinary team so that they can make informed decisions and draw out appropriate choices/inferences on the problems.

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