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Sustainable Data Science and Technology​
Bachelor of Science

Tackle environmental challenges and make a difference with advanced programming, data science, and geospatial technology

PROGRAM OVERVIEW

Problem-Based, Solution-Oriented

The Sustainable Data Science and Technology program empowers students to tackle pressing environmental challenges using cutting-edge data science, programming, and geospatial technology. This interdisciplinary degree blends environmental science with data analytics, computational modeling, and GIS to drive data-informed sustainability solutions.

Students gain hands-on experience analyzing complex environmental datasets, leveraging programming and visualization tools to support conservation and climate resilience efforts. With access to state-of-the-art facilities and a curriculum rooted in sustainability, graduates will be well-equipped for careers that merge technology and environmental stewardship.

Next Start Date
July 14, 2025
Program Details
In-person Learning
2.5 – 5 Years
Bachelor of Science

Learning Outcomes

  • Evaluate ecological and biodiversity principles to design and implement effective and sustainable conservation solutions.
  • Analyze complex environmental datasets using programming, statistics, and data visualization tools to derive insights for sustainability solutions in business, applied environmental sciences, and associated human concerns.
  • Apply GIS and remote sensing technologies to process and interpret spatial data, producing high-quality visualizations for environmental decision-making.
  • Integrate diverse data science methods, computational tools, and artificial intelligence to develop and propose innovative solutions for pressing sustainability challenges.
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Career Outlook

Earn Your Degree. Unlock New Opportunities.

$ 79 k
Average annual salary for a Logistics Analyst.

8
Number of program start dates each year.

Immersive Coursework

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Climate Change and Invasive Species

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Mapping Earth’s Hidden Patterns: GIS Essentials

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Big Data in Environmental Science

Degree Requirements

To earn a Baccalaureate degree in Sustainable Data Science and Technology, you must complete:

  • General Education Core: 44 credits
  • Program Core: 40 credits
  • Electives: 36 credits

University Wide Requirements: A minimum of 120 earned credit hours, 30 credits at the 300 level or above, a minimum of 30 credits earned at Unity, and an overall cumulative GPA of 2.0 or above.

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Sustainable Data Science and Technology FAQs

The program teaches data-driven solutions for environmental challenges, including climate modeling and GIS applications.

Students gain experience with Python, R, GIS mapping, and machine learning for environmental applications.

Conservation organizations, renewable energy firms, government agencies, and private environmental consultancies.

Why Unity for Sustainable Data Science and Technology

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Combines environmental science with cutting-edge data analytics.

Combines environmental science with cutting-edge data analytics.
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Real-world focus on climate modeling, ecosystem tracking, and more.

Real-world focus on climate modeling, ecosystem tracking, and more.
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Internships with sustainability-focused companies.

Internships with sustainability-focused companies.

Why Unity?

Environmental and sustainability-oriented programs provide the education and experience to launch your career.
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Career-Focused

Applied learning modeled around real world scenarios.

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Flexible Learning Options

Work with dedicated instructors on-location or online.

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Real-World Applications

Master ecosystem processes and human-environment interactions that address environmental problems.

Ready To Study Sustainable Data Science and Technology?

Apply today and get started in our upcoming 5-week term!