Data science uses sophisticated mathematical, statistical and computational tools to extract patterns from large, complex and often unordered data sets. The BS program in data science prepares students to be critical analysts in a variety of areas, such as business, research and government.
With a mathematical core consisting of linear algebra, statistical inference and classification, data mining, machine learning and associated computer methods, students leave the program with a strong background in data-related skills that are useful in understanding and solving practical issues.
Quick Facts
Full-time
120 credit hours
Online or Campus Immersion
ASU Tempe campus
STEM-OPT Option Available
Students enrolled at an ASU Cintana Alliance Network institution have the chance to start their courses at their home institution and transfer those credits* to finish their remaining years at ASU.
Model available: Undergraduate dual degree and pathway to ASU degree only.
Up to 90 credit hrs. can be transferred
from ACI to ASU
Students must earn a “C-” or
higher for courses to transfer to ASU
Graduation requirements at partner institution
Minimum of 30 credits must be completed at ASU
English Composition I & II
General Education and Graduation requirements must be
met through the combination of transfer courses from partner institution and the coursework completed at ASU
*Transfer eligibility is subject to student performance in transfer courses and Arizona State University transfer requirements.
*A specific plan of study will be agreed upon between institutions, but here are general requirements to be completed at each institution.
Concepts of problem solving using an object-oriented programming language, algorithm design, structured programming, fundamental algorithms and techniques.
Problem solving by programming with an object-oriented programming language. Introduces data structures. Overview of computer science topics.
Concerns the key modern approaches for uncovering high-dimensional complex structure in data. Topics include regularized regression, ensemble methods with trees, deep neural nets, clustering and dimension reduction and state space modeling.
Graduates of the data science program possess skills related to data analysis, data prediction models and ethical uses of research data, helping them to meet the expressed needs of society. Graduates work in a variety of fields, including governmental research, education, health services, consumer behavior and business.
From predicting consumer behavior to extracting information from medical images, you’ll graduate ready for a dynamic career that inspires global change.
Minimum transfer Grade Point Average (GPA): Transfer students must have a minimum 2.50 cumulative transfer GPA (with a 3.00 GPA in core competency coursework (4.00 = “A”).
Proof of English proficiency: 61 iBT TOEFL; 6.0 IELTS; PTE 53; Duolingo 95 or equivalent; Global Launch’s online English for Undergraduate Admission or full-time English Language Program (campus or online immersion).
High School core competency coursework: International students who completed high school outside the U.S. are required to meet the following:
| Enrollment Path BS Data Science | Credit Hours Completed at Institution | Credit Hours Completed at ASU | Estimated Duration | Total Program Cost |
|---|---|---|---|---|
| Campus Immersion Articulated Pathway | 90 | 30 | 1 year (3+1) and 2 years (2+2) | ~$43,630 USD (3+1) ~$87,260 USD (2+2) |
| Campus Immersion Direct ASU Enrollment | 120 | 4 years | ~$174,520 USD | |
| Online Articulated Pathway | 60 | 60 | 1 year (3+1) and 2 years (2+2) | ~$23,089 USD (3+1) ~$46,178 USD (2+2) |
| Online Direct ASU Enrollment | 120 | 4 years | ~$92,356 USD |
Note 1: This is an estimate only. Based on ASU 2024-25 published online tuition and fee rates. Subject to change for future years.
Note 2: Tuition calculation for Articulated Pathway is based on the minimum credits required to be completed at ASU: 15 credits (Fall) and 15 credits (Spring).
Note 3: Articulations may require additional credits for viability, which could increase the cost.
Note 4: Additional Scholarship may be available for qualifying students.
| Program Start | Application Deadline | Classes Begin | Tuition Payment Deadline |
|---|---|---|---|
| Spring start (January) | November 1, 2024 | January 13, 2025 | January 20, 2025 |
| Fall start (August) | May 1, 2025 | August 21, 2025 | August 25, 2025 |
| Spring start (January) | November 1, 2025 | January 12, 2026 | January 19, 2026 |