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MS - Remote Sensing & GISc

In order to bring Pakistan at par with developed nations, education and research in emerging fields of science and technologies is of fundamental importance. Geospatial science and technologies including GISc, RS and associated disciplines have emerged as “enabling discipline” having applications in almost every domain. Institute of Space Technology (IST) started MS in RS & GISc in 2010 at National Centre for Remote Sensing and Geoinformatics at Karachi. In view of the growing importance of the discipline and scarcity of universities offering degree programs nationally, IST has taken yet another step forward and started MS in RS & GISc at Space Science (SS) Department at IST Islamabad Campus since 2013. The SS department gathers best foreign qualified faculty and ensures to create top quality RS & GISc human resource.

For more information visit:

  • Remote Sensing & Geo-information Science
  • Photogrammetry
  • Hyperspectral / SAR Data Processing
  • Climate Modeling
  • Water Resources Modeling

PEO 1: Develop and utilize RS & GISc related scientific knowledge amenable towards solving local issues in Pakistan and abroad.

PEO 2: Meet the needs of industry and academia in Pakistan and abroad.

PEO 3: Contribute to, and lead RS & GISc Geospatial Information Sciences based research groups.

Able to develop and implement systematic frameworks towards practical problems and research questions.

Able to comprehend a problem related to RS & GISc and to access accuracy of results.

Able to be an effective member of multi-disciplinary teams.

Semester Code Subject Credit Hours
1 720408 Advanced Geographical Information Science 3-0
720301 Advanced Remote Sensing and Digital Image Processing 3-0
820402 Advanced Programming and Customizing GIS 3-0
2 799913 Advanced Research Methods 3-0
  Elective-I 3-0
  Elective-II 3-0
3   Elective-III 3-0
  Elective-IV 3-0
  Thesis-I 3-0
4   Thesis-II 3-0
Credit Hours: 30 (24 + 6)

Elective Courses

A student should choose an elective course from the list after the approval of program head, research supervisor and HoD.

  • Advanced Spatial Databases
  • Radar Remote Sensing
  • Web GIS
  • Geostatistics
  • Photogrammetry
  • Environmental Sciences
  • Data Analysis for the Earth Sciences
  • Machine Learning
  • Hydrological modeling using GIS
  • Earth System Dynamics
  • Hydrometeorology
  • Big Geospatial Data Analysis using Google Earth Engine
  • Advanced Environmental System Analysis
  • Fundamentals of GNSS
  • GNSS Augmentation Systems
  • Space Weather and GNSS
  • GNSS Applications

Note: Elective courses will be offered subject to the availability of relevant faculty.

  • BS/ BE/ equivalent (16 Years of education) with a strong background in Remote Sensing & GIS or minimum 16 years of education in the field of Engineering/ Science with minimum CGPA = 2.00 out of 4.00 or 60% marks (where CGPA not available) from HEC and PEC (where applicable) recognized Institute/University or from Foreign Institute/University of good repute.
  • GAT (General) conducted by NTS in the relevant field of study with = 50% marks or HAT (General) conducted by HEC in the relevant field of study with = 50% marks or GRE International (General) conducted by ETS, USA, with minimum score as Quantitative: 145, Verbal: 145, Analytical: 3.5