Overview
The B.Sc. in Data Science, Engineering at the University of Missouri - Columbia provides students with a robust interdisciplinary foundation in modern computational analysis. This undergraduate programme integrates core principles from statistics, mathematics, and computer science to address complex data challenges. Students develop the technical expertise required to acquire, model, and communicate data-driven insights effectively.
Why Data Science, Engineering at University of Missouri - Columbia?
The University of Missouri - Columbia offers a unique focus area in computer science through its prestigious College of Engineering. This structure allows students to specialise in their areas of interest while benefiting from a collaborative, interdisciplinary environment. The curriculum emphasises data ethics, algorithmic fairness, and security, ensuring graduates are responsible practitioners in the digital age.
Tuition Fee Breakdown
- International fee: USD 38168 per year
- National fee: USD 37820 per year
- Local fee: USD 15548 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is designed to build expertise across the triad of data disciplines, culminating in a significant final-year project. Modules may include:
- Statistics
- Mathematics
- Computer Science
- Data Ethics and Governance
- Algorithmic Fairness
- Privacy and Security
- Data Stewardship
- Data Science Project
Careers with Data Science, Engineering
Graduates from the University of Missouri - Columbia are equipped for diverse professional roles across industry, government, and academic sectors. The programme prepares students for high-demand positions that require sophisticated analytical and technical skills.
The degree also provides a strong academic foundation for those wishing to pursue advanced research or postgraduate studies in specialised technical fields.
Programme Structure
The program focuses on:
- Data Science
- Intuition, Simulation, and Data
- Computing with Data in Python
- Computational Data Visualization
- Database Applications and Information Systems
- Applied Statistical Models
- Calculus for Social and Life Sciences
- Analytic Geometry and Calculus
- Discrete Mathematical Structures
- Matrix Theory
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
International- There are no application deadlines, but we recommend you apply 6-12 months before the start of the semester you wish to begin taking classes.
Language
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Credits
Delivered
Campus Location
- Columbia, United States
Disciplines
Data Science & Big Data Software Engineering View 646 other Bachelors in Software Engineering in United StatesWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
Your core coursework grades must meet one of the following requirements:
- GPA of 2.5 or higher on a U.S. 4.0 scale
- GPA of 3.5 or higher on a U.S. 5.0 scale
- Average grades of 80 or higher on a 100-point scale
- Average grades of 8 or higher on a 10-point scale
- IGCSE scores of C or higher in five or more subjects AND three A-level certificates with a C or higher
Tuition Fees
-
International Applies to you
Applies to youNon-residents38168 USD / year≈ 38168 USD / year - Out-of-State37820 USD / year≈ 37820 USD / year
-
Domestic
Applies to youIn-State15548 USD / year≈ 15548 USD / year
Living costs
Columbia
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Data Science, Engineering.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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