BS Data Science

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.

Attendance type

Full-time

Credit hours

120 credit hours

Study method

Online or campus immersion

STEM-OPT option

STEM-OPT option available

Campus

ASU Tempe campus

The College of Liberal Arts and Sciences

The College of Liberal Arts and Sciences at ASU offers over 90 undergraduate majors and 140 graduate degrees across 23 interdisciplinary schools and departments. We educate future leaders in language, culture, society, critical thinking and scientific exploration. Through pioneering degree programs, cutting-edge research, and innovative learning experiences, the College enhances communities locally, nationally and globally. With the largest and highly diverse student population at ASU, we foster an inclusive environment that empowers students to make meaningful impacts in society.

ASU degree pathways

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.

Courses at home university

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

Courses at ASU

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.

Featured courses

CSE 110: Principles of Programming

Concepts of problem solving using an object-oriented programming language, algorithm design, structured programming, fundamental algorithms and techniques.

CSE 205: Object-Oriented Programming and Data Structures

Problem solving by programming with an object-oriented programming language. Introduces data structures. Overview of computer science topics.

DAT 402: Machine Learning for Data Science

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.

Career opportunities and applicable roles

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.

Bioinformatics Scientist

Bioinformatics Technician

Business Intelligence Analyst

Clinical Data Manager

Data Scientist

2025-26 Important dates and deadlines

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