DIT University DIT University

M.Sc. – Remote Sensing and GIS

  • Course

    M.Sc. – Remote Sensing and GIS
  • Duration

    2 Years
  • Apply Now

About Program

The M.Sc. in Remote Sensing and GIS (Geospatial Science) at DIT University is a multidisciplinary postgraduate program designed to develop advanced expertise in geospatial technologies, remote sensing, geographic information systems (GIS), photogrammetry, UAV-based surveying, spatial analytics, and geospatial modelling. The program integrates theoretical foundations with intensive practical training in modern geospatial software, programming, machine learning, and real-world applications across natural resource management, water resources, geology, geophysics, forestry, engineering geology, engineering constructions, disaster management, agriculture, urban planning, environmental monitoring, and climate studies.

The curriculum emphasizes both scientific understanding and applied problem-solving through laboratory work, field surveys, industry exposure, research projects, and dissertation-based learning. Students gain hands-on experience with widely used geospatial platforms, including ArcGIS, QGIS, ERDAS, ENVI, Google Earth Engine, R-Programming, Python, and UAV technologies.

The program is structured across four semesters and includes advanced coursework in digital image processing, remote sensing, GIS, spatial data science, web GIS, machine learning, Earth positioning systems, and geospatial applications, along with minor and major research projects.

Eligibility Criteria

Candidates seeking admission to the M.Sc. in Remote Sensing and GIS should possess a Bachelor’s degree with an aggregate of 50% marks in any of the following disciplines or equivalent/related areas:

Geography

Statistics

Information Technology

Mathematics

Computer Science

Geology

Forestry

Botany

Zoology

Civil Engineering

Electronics

Physics

Earth Sciences or related disciplines

Applicants with interdisciplinary backgrounds and an interest in geospatial science, environmental analysis, spatial modelling, and Earth observation are encouraged to apply.

Program Highlights

DIT
  • Comprehensive training in Remote Sensing, GIS, UAV, GPS/DGPS, Web GIS, and Geospatial Analytics 
  • Strong focus on practical and industry-oriented learning through laboratory sessions and field surveys 
  • Exposure to advanced technologies, including Machine Learning, Deep Learning, AI-based geospatial analysis, and Google Earth Engine 
  • Hands-on training in industry-standard software such as  QGIS, ERDAS Imagine, ArcGIS Pro, ENVI, SNAP, R-programming, and Python 

Career Opportunity

GIS and Remote Sensing industries

Environmental consultancy

Smart city and urban planning projects

Water resources and hydrological modelling

Disaster management agencies

Agriculture and precision farming

Climate and environmental analytics

Forest reserve and monitoring

Geoscience consultancy

Government organizations and research institutions And so on

Fee Structure

1st Year (2026-27)

Particulars Tuition Fees Academic Services Fee Total Fee

All India Category

1st Installment

27,850

22,000

49,850

 

2nd Installment

27,850

22,000

49,850

Uttarakhand/Himalyan State Quota (After 25% Scholarship on Tuition Fee)

1st Installment

20,888

22,000

42,888

 

2nd Installment

20,888

22,000

42,888

For detailed Program Fee Structure, please Click Here

Program Curriculum

This semester-structured program integrates comprehensive theoretical and research foundations, while primarily prioritizing practical, experiential training.

Semester I
  • Principles of Aerial Photographs and Photogrammetry
  • Principles of Remote Sensing
  • Digital Image Processing
  • Fundamentals and Analysis of Geospatial Data
  • Programming for Problem Solving
  • Skill enhancement courses
  • Programming Languages for Geospatial Data
Semester II
  • Probability Distributions and Statistical Analysis
  • Geographic Information System and Digital Cartography
  • Fundamentals of Earth Positioning Systems and UAV
  • Advanced Remote Sensing
  • Skill enhancement courses
Semester III
  • Advanced GIS
  • Electiv I & II
  • Machine Learning and Deep Learning
  • Research Methodology and IPR
  • Minor Research Project
Semester IV
  • UAV Photogrammetry and Spatial Modeling Lab
  • Aptitude Building and Soft Skills
  • Major Dissertation Project
Summary of the Course Credit
Year Semester Max Credit
I 1 24
2 22
II 3 24
4 18
Total 88

Elective Areas

Students can specialize in diverse application domains, including:

Hydrology and Geo-hydrology

Disaster Management

Agriculture

Climatology

Environmental Impact Assessment

Biodiversity and Wildlife Conservation

Rural-Urban Planning

Forest Management

Health and Epidemiology

  • Training in UAV surveying, GPS/DGPS data acquisition, and spatial modelling
  • Dedicated minor and major research dissertation projects
  • Field visits, educational tours, and industry/research institute exposure
  • Research-oriented curriculum with emphasis on scientific writing, IPR, and publication skills

Notes

  • In addition to the above Fee, the following fee will be charged at the time of admission:
    • Admission Fee (Non-Refundable): Rs. 10,000/-
    • Caution Money (Refundable): Rs. 5,000/-
  • If the University offers any specific training module outside the mandatory curriculum required for the specific degree, then the University may charge a fee for the same.
  • Please read the Scholarship Policy document available on DIT's website or contact the Admissions Office.
  • Only one type of Scholarship can be given; students can opt for the higher percentage of scholarship.
  • Scholarship cannot be more than 100% of the Tuition Fee.
  • Students are advised to deposit fees through the Student Portal online fee payment option available on DIT's website: www.dituniversity.edu.in.
  • Fees may change in case of any changes in Government Policy or Governing Laws.
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