Modern science and technology use sophisticated mathematical and computational tools to extract patterns from large, complex and often unordered data sets. Machine learning and data mining are invaluable technologies with applications as diverse as detecting fraudulent online credit-card transactions, understanding the dynamics of social movements, and personalizing medical treatments based on a tumor's unique genetic profile.
The BS degree program in data science prepares students to be critical analysts and users of data in a variety of areas such as business, research and government. This transdisciplinary program allows students to choose a focus area from a variety of fields to center their understanding of data science. 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 solving real-world issues.
Degree Offered
Data Science (BS)
Liberal Arts and Sciences, The College of
Major Map
A major map outlines the degree’s requirements for graduation.
Application Requirements
All students are required to meet general university admission requirements.Freshman
Transfer
International
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Affording College
Scholarships
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Financial Aid
ASU has many financial aid options. Almost everyone, regardless
of income, can qualify for some form of financial aid. In fact,
more than 70 percent of all ASU students receive some form of
financial assistance every year.
Career Outlook
Glassdoor.com ranks data scientist as third in the top 50 Best Jobs in America. It reports that the average annual salary in 2020 for data scientists was $107,801. The McKinsey Global Institute projects a shortage of qualified workers with deep analytical skills.
In the data science program, students learn skills related to data analysis, data prediction models and ethical uses of research data, helping them prepare to meet the expressed needs of society.
Graduates of this program work in a variety of fields such as governmental research, education, health services and business. From predicting consumer behavior to extracting information from medical images, graduates are ready for a dynamic career that inspires global change.
Example Careers
Students who complete this degree program may be prepared for the following careers. Advanced degrees or certifications may be required for academic or clinical positions. Career examples include but are not limited to:
| Career | *growth | *median salary |
|---|---|---|
| Geoscientists, Except Hydrologists and Geographers | 4.9% | $93,580 |
| Neuropsychologists | 2.3% | $105,780 |
| Biochemists and Biophysicists | 4% | $94,270 |
| Software Developers | ||
| Statisticians | 34.6% | $92,270 |
* Data obtained from the Occupational Information Network (O*NET) under sponsorship of the U.S. Department of Labor/Employment and Training Administration (USDOL/ETA).
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