Geography graduates earn a median $35,420 Across 302 US programmes, two years after finishing
See the degree grade →GEO101 is an undergraduate programme in Geography that introduces students to physical and human geography, spatial analysis and applied geospatial technologies. It suits students who want a multidisciplinary grounding in the environment, society and spatial data analysis, and who are preparing for careers in planning, environment and development sectors or for further academic study.
This programme provides a balance of physical and human geography together with applied skills in spatial analysis. Core topics typically include physical geography (landforms, climatology, hydrology), human geography (urban, cultural and development geography), and methods courses (cartography, statistics for geographers).
Applicants are expected to hold a higher secondary qualification (or an approved international equivalent) with satisfactory grades. Strong performance in subjects that develop quantitative and analytical skills — such as mathematics, geography, environmental science, or the sciences — is beneficial. All applicants must meet BRAC University's general admission criteria, which may include an application form, academic transcripts and proof of English language competence where applicable. Shortlisted candidates may be invited to an interview or required to take an admissions test.
Graduates leave prepared for a wide range of careers that use spatial and environmental knowledge. Typical roles include:
BRAC University combines an interdisciplinary curriculum with practical learning opportunities relevant to Bangladesh and the wider region. Students benefit from hands-on GIS and remote sensing facilities, fieldwork integrated into teaching, and links to BRAC’s development programmes which provide internship and applied research options. The faculty bring experience from academic research, government and development practice, supporting students who want to pursue careers in planning, environment, development and spatial data sciences.
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