Overview
The B.Sc. in Data Science, Arts and Science at the University of Missouri - Columbia provides a robust interdisciplinary foundation for students interested in the evolving world of big data. This programme integrates the core pillars of statistics, mathematics, and computer science to equip learners with the technical expertise required for modern data analysis. Students gain a deep understanding of how to acquire and model data effectively.
Beyond technical proficiency, the curriculum emphasises the critical importance of data ethics and governance. Participants explore topics such as algorithmic fairness, privacy, security, and stewardship to ensure they use data responsibly. This holistic approach ensures that graduates are not only skilled analysts but also ethical practitioners in their chosen professional fields.
Why Data Science, Arts and Science at University of Missouri - Columbia?
The University of Missouri - Columbia offers a unique structure for this degree, allowing students to specialise in areas that align with their specific interests. By choosing the Arts and Science pathway, students can focus deeply on mathematics or statistics. This flexibility allows for the pursuit of additional minors or certificates, enhancing the overall educational experience.
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 science disciplines. 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, Arts and Science
Graduates from the University of Missouri - Columbia are prepared for diverse roles across industry, government, and academia. The analytical skills gained during the programme are highly transferable to numerous sectors.
The programme also provides a strong foundation for those wishing to pursue advanced degrees or specialised research. Graduates are well-positioned to enter competitive job markets with a degree that balances technical rigour with ethical considerations.
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
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Columbia, United States
Disciplines
Liberal Arts Data Science & Big Data View 470 other Bachelors in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 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
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Bachelor's scholarship opportunities for Data Science, Arts and Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility