MO

Bachelor's in DS/DA
On-Campus

Missouri University of Science and Technology

BS in Data Science

  • Rolla
About This Program

A STEM-focused undergraduate program that connects management and technology to manage information systems for efficient and profitable enterprise operations.

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What You'll Learn

Students build a foundation in data mining, deep learning, and artificial intelligence while mastering the technical skills to implement technology for business processes and decision-making.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 120-credit curriculum includes a core of programming, database management, and networks, with specialized electives in business analytics, machine learning, and cybersecurity analytics.
Typical Course Topics
1. Introduction to Programming (Python, R, SQL) 2. Data Structures and Algorithms 3. Machine Learning and Predictive Modeling 4. Big Data Analytics 5. Statistical Analysis and Probability 6. Data Visualization and Business Intelligence
Program Specializations:
Machine Learning
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A high school diploma with competitive GPA (typically 3.0+) is required. Most programs recommend strong performance in mathematics and science courses; standardized test scores (SAT/ACT) may be required or recommended depending on the institution.
Academic Requirements (Typical)

• Degree Required: Bachelor of Science
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Optional
• Letters of Recommendation: Optional
• Resume: Optional
• Transcripts: Official high school and college transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Prepare Data Scientist career in Cross-Industry AI with artificial intelligence focus

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Data Science / Machine Learning Engineer: $95,000 Data Analyst: $72,000 Business Intelligence Developer: $88,000 AI/ML Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Machine Learning Engineer 3. Data Analyst 4. Business Intelligence Developer
Top AI Employers (Industry-Wide):
Top employers in data science include technology firms like Google, Amazon, Microsoft, Meta, and Apple, as well as financial services companies, healthcare organizations, and consulting firms.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
  • 97,691
Format
On-Campus
Specializations
Machine Learning
Computer Vision
Official Resources
Program Website
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