Program Introduction
Arizona State University's Bachelor of Science in Data Science program is a comprehensive degree focused on developing skills in collecting, storing, processing, analyzing, and visualizing big data. The program combines principles from computer science, statistics, and mathematics to prepare students to extract meaningful insights from complex datasets and support data-driven decision making. As a STEM (Science, Technology, Engineering, and Mathematics) designated program, international students can apply for up to three years of Optional Practical Training (OPT) after graduation, expanding opportunities to gain practical experience in the United States. The degree curriculum balances technical proficiency with practical application, preparing students to apply data science skills across diverse industries. Students acquire core skills in programming, machine learning, predictive modeling, data mining, and statistical analysis. Through ASU's collaborative learning environment and industry partnerships, students gain experience solving real-world data problems, while internships and capstone projects provide opportunities to gain practical experience before graduation. Graduates of this program experience high demand in roles such as data scientists, data analysts, and machine learning engineers.
- Language of InstructionEnglish
- Program Length48 months
- Teaching MethodsOffline, Online
- Core Mathematics and Statistics Courses: Calculus, Linear Algebra, Probability Theory, Statistical Inference, Multivariate Analysis, Bayesian Statistics - Computer Science Fundamentals: Programming Fundamentals (Python, R, SQL), Data Structures, Algorithms, Database Systems, Distributed Computing - Data Science Core: Data Collection and Preprocessing, Data Visualization, Exploratory Data Analysis, Big Data Processing, Text Mining - Machine Learning and AI: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning, Natural Language Processing, Computer Vision Basics - Applied Data Science: Business Analytics, Bioinformatics, Social Network Analysis, Financial Data Analysis, Geospatial Data Analysis - Software Tools and Technologies: Hadoop, Spark, TensorFlow, Pandas, scikit-learn, Tableau, PowerBI - Data Ethics and Security: Data Privacy, Algorithmic Fairness, Transparency, Data Security, Legal and Ethical Considerations - Communication Skills: Data Storytelling, Technical Report Writing, Data Visualization, Presentation Skills - Practical Experience: Internships, Collaborative Projects, Independent Research, Industry Partnerships - Capstone Project: Development and implementation of comprehensive solutions to real-world data problems
Data Analyst
$65,000 ~ $85,000
Data Scientist
$80,000 ~ $110,000
Business Intelligence Analyst
$70,000 ~ $90,000
| Intakes | Application Deadlines |
|---|---|
| 2025 Fall | 2025-01-15 |
Admission Requirement
- GPA3.0
- SAT / ACTNo Min Score
No Min Score
No Min Score
No Min Score
- High school diplomaRequired
- Official transcriptsRequired
- Certified English test score reportRequired
- SAT/ACTOptional
Fees and Funding
$57,952/Year
$11,924/Year
$85