Bachelor of Science in Data Science with Concentration in Computational Agriculture and Natural Resources

Mississippi State University - Starkville Main Campus

USA,Mississippi

 0 Shortlist

48 Months

Duration

CAD 28,586/year

Tuition Fee

CAD 60

Application Fee

Jan 2026

Apply Date

USA, Mississippi

Type: College

Location Type: Rural

Founded: 1878

Total Students: 23,086 +

Int. Students: 1,000 +

Campus Detail

Main Campus Address

75 B. S. Hood Rd, Mississippi State, MS 39762, United States

Bachelor of Science in Data Science with Concentration in Computational Agriculture and Natural Resources

Program Overview

Data science is a new emerging field that explores and advances methods, systems, and processes to:

  • Represent the world as data objects;
  • Extract insights about the world from these data objects and turn these insights into discoveries, decisions, and actions; and
  • Create smart systems to perform tasks that have historically required human cognition and human decision-making abilities.

The MSU Bachelor of Science in Data Science is an interdisciplinary program designed to include three general areas of coursework: general education to develop critical thinking and writing skills; a program core of computer science, statistics, mathematics, business information systems, and communications skills; and applications of the data science fundamentals in a specific concentration.

Computational Agriculture and Natural Resources Concentration

Data science increasingly drives innovation in the fields of agriculture and natural resources. The Computational Agriculture and Natural Resources concentration trains students interested in data-driven careers in agriculture and natural resources through subject matter and applied data science coursework. Students who complete the concentration will be equipped for careers as data scientists in agricultural production, agricultural technology, agricultural finance, natural resource management, wildlife and fisheries science, plant science, and other related fields.

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