Overview
The B.Sc. in Data Science and Analysis at University of Missouri–St. Louis provides students with the technical expertise required to navigate the modern data-driven landscape. This interdisciplinary programme combines rigorous mathematical foundations with advanced computational techniques to solve real-world challenges. Students engage with sophisticated analytical tools to interpret vast datasets across various industries.
Why Data Science and Analysis at University of Missouri–St. Louis?
By choosing this degree, learners develop a versatile skill set that bridges the gap between raw information and strategic decision-making. The curriculum is structured to ensure that graduates are proficient in identifying patterns, building predictive models, and communicating findings effectively to diverse audiences. This preparation is essential for success in the rapidly evolving global digital economy.
Tuition Fee Breakdown
- International fee: USD 1317 per credit
- National fee: USD 1317 per credit
- Local fee: USD 529 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is designed to provide a balanced education in statistical methods and computational analysis. Modules may include:
- Data Science
- Statistical Analysis
- Machine Learning
- Data Visualisation
- Database Management
- Programming for Data Analytics
- Mathematical Foundations of Computing
- Applied Statistics
- Information Systems
Careers with Data Science and Analysis
Graduates of this programme are well-equipped to pursue diverse professional paths in sectors ranging from finance and healthcare to technology and government. The analytical skills acquired during the course allow alumni to transition into specialised roles that focus on data interpretation and organisational strategy.
Programme Structure
Courses include:
- Statistical Analysis
- Criminology
- Criminal Justice
- Probability and Statistics
- Psychological Statistics
- Political Analysis
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- Saint Louis, United States
Disciplines
Data Science & Big Data Data Analytics View 285 other Bachelors in Data Analytics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
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
- Application form - Refer to the international student application and $40 application fee
- Proof of English proficiency
- Official transcripts - Students in their last year of high school should submit transcripts for all years completed thus far. Students who have completed high school must submit final transcripts and degree certificates or exam results.
Tuition Fees
-
International Applies to you
Applies to youNon-residents39510 USD / year≈ 39510 USD / year - Out-of-State39510 USD / year≈ 39510 USD / year
-
Domestic
Applies to youIn-State15870 USD / year≈ 15870 USD / year
Living costs
Saint Louis
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 and Analysis.
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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