Degree Programs

Bachelor of Science in Geodetic Engineering (BS GE)

ge_students_4Geodetic Engineers are regarded as reliable sources of geospatial information for societal and economic development. With the growing demand for public works and infrastructure, the development of modern information systems, coupled with increasing awareness in managing resources and protecting the environment, the importance of geospatial data and information becomes essential.

The UP DGE offers 5-year BS Geodetic Engineering program, a uniquely balanced blend of theory and techniques for high-precision earth measurement using advanced field instrumentation and computing technologies. For more details, download the DGE Academic Programs brochure.

Core Competencies

Our core competencies focus on: Surveying and Mapping, Geodesy, Remote sensing, Photogrammetry, Hydrography, Geographic Information Systems (GIS), and Global Navigation Satellite Systems (GNSS or GPS)

Entry Requirements

High school students must pass the UP College Admission Test (UPCAT). Prospective shiftees and transferees must obtain above average scholastic grades on their first year of college and apply for admission in the next academic year.

Geodetic Engineering Study Grant

A competitive examination is given to UPCAT passers to qualify for the GE Study Grant. Benefits of the grant include tuition fees, monthly stipend and book allowance.

Master of Science in Geomatics Engineering (MS GmE)

Geomatics is the modern term referring to the science, engineering, and art in collecting and managing geographically referenced information. It integrates all the means to acquire and manage spatial data as part of scientific, technical, legal and administrative operations involved in the process of production and management of Earth-based data.

The UP MS GmE program caters to the needs of the industry and the government by equipping students with skills to develop the tools and techniques to capture and manage spatial data. For more details, download the DGE Academic Programs brochure.

Core Courses

  • GmE 202 Principles of Remote Sensing: Physical principles of remote sensing; environmental spectroscopy; remote sensing platforms; sensors and imaging systems; digital image interpretation and processing; applications of remote sensing
  • GmE 203 Principles of Geographic Information Systems: Geographic information theory; Data models and representation; Data input and conversion; Databases; Spatial analysis
  • GmE 205 Object Oriented Programming for Geomatics Applications: Introduction to Object-Oriented Programming with applications to image processing, data acquisition and management, spatial data analysis, and visualization

Common Courses

  • GmE 210 Spatial Visualization: Theory and application of both abstract and realistic visualization in two, three and four dimensions. Color theory; communication theory; cartography; map animation; hypermapping; environmental visualization; and augmented reality; three-dimensional modeling and transformations; perspective; hidden surface algorithms; illumination models; texture mapping; ray tracing; animation; applications of scientific and environmental visualization for planning and management in built and natural environments.
  • GmE 211 Satellite Geodesy: Theory and applications of modern satellite geodesy; theory and applications of satellite positioning, particularly in a geodetic context. Specific topics include: time systems, orbit computation, geodetic datum definition and coordinate systems, introduction to satellite positioning, error modeling, practical applications and considerations, data processing strategies, heights from GNSS and geoid modeling and recent developments in satellite geodesy.
  • GmE 216 Field Techniques in Applied Geodesy and Remote Sensing: Field techniques for analysis, modeling and accuracy assessment in remote sensing and geodesy. Problems and Objectives in Field Work for Remote Sensing; Navigation, wayfinding and sampling and in the field; Field spectroscopy; Collecting thematic data in the Field; measurement of plants vegetation;  Soil and other surface materials;  Water bodies and bio-optical measurements: Principles of gravity measurement and instrument types; Uses of field data for remote sensing and geodetic problems.
  • GmE 217 Cadastral Data Management: Introduction to Land Administration; Land Policy; Land Tenure and Security; Legal Aspects, Land Registration and Cadastre; Land Reform; Spatial Data Infrastructure; Land Information System; Land Information Systems; ICT and Land Administration; Information system modeling – UML, Cadastral data analysis and modeling; Core Cadastral Domain Model; Marine cadastre; Spatial Data Infrastructure; Property valuation and taxation.

Specialized Courses (Geoinformatics)

  • GmE 220 Spatial Databases: Fundamentals of spatial databases; spatial data modeling including entity-relationship and object-oriented data models; indexes and access methods including B-trees, quadtrees, and R-trees; and query languages and query processing
  • GmE 221 Spatial Analysis: Spatial data types; data structures for spatial data; point patterns; measures of dispersion, arrangements; patterns of lines; paths, branching, topology and concepts of distance; patterns of area; patterns in fields; the role of spatial scale and spatial aggregation problems; exploratory spatial data analysis; and spatial autocorrelation.
  • GmE 222 Advanced Geographic Informaion Systems: Advanced methods in geographical analysis; Network analysis; Terrain and visibility analysis; Geostatistical analysis; Spatio-temporal GIS; Internet/Web GIS; Mobile GIS; Cellular automata; agents-based models
  • GmE 223    Integrated Spatial Systems    (Not yet offered)

Specialized Courses (Remote Sensing)

  • GmE 230 Microwave Remote Sensing: Theory and application of microwave remote sensing in resource mapping, monitoring and prediction; Radar development; Side Looking Radars; Synthetic Aperture Radar, Imaging polarimetry, interferometry, radar altimetry, passive microwave systems.
  • GmE 231 Lidar Remote Sensing: Principles, technologies and applications of Lidar (“Light Detection and Ranging”) remote sensing; Lidar system design; quantitative Lidar simulation; Lidar data retrieval; Lidar sensitivity and error analysis.
  • GmE 232 Hyperspectral Remote Sensing: Principles, technologies and applications of hyperspectral remote sensing; spectral matching; spectral mixing analysis; high-dimensional implications for supervised classification.
  • GmE 233 Close-Range Photogrammetry: Principle and methods of close-range digital photogrammetry; industrial, engineering and other applications of vision metrology

Specialized Courses (Applied Geodesy)

  • GmE 241 Mathematical Geodesy and Adjustments of Geodetic Observations: Review of Least Squares Adjustments; Network deformation and analysis; Theory of Elasticity; Least-squares Collocation; Non-linear Adjustments; Datum Transformation Techniques;
  • GmE 242 Satellite Positioning, Signal Processing and Numerical Methods: Static and kinematic positioning with the Global Positioning System (GNSS). Inertial positioning; astronomic positioning; VLBI positioning; satellite laser ranging. Introduction to GNSS signal processing, time series analysis and FFT techniques. Kalman filtering.
  • GmE 243 Satellite Based Positioning Sytems (SBPS) Technology and Development: SBPS receiver-software interface development; GPS functional library; GPS data platform and processing core; Concept of precise kinematic positioning and flight-State monitoring; precision estimation and comparisons. Applications of GPS Theory and Algorithms