About this degree
ASU's BS in Data Science draws on computational, mathematical and statistical methods to analyze datasets and assess real-world evidence. The university lists several focus areas, including business analytics, computer science and mathematics.
Study level and structure
Undergraduate · Plan LADATSCIBS. 120 credit-hour programme.
Published modules and subjects
- MAT 270 and MAT 271 — Calculus with Analytic Geometry
- MAT 343 — Applied Linear Algebra
- CSE 110 — Principles of Programming
- CSE 205 — Object-Oriented Programming and Data Structures
- DAT 250 — Data Science and Society
How to use this course guide
These are sample courses published by ASU, not a full curriculum plan. Confirm general education, focus area, prerequisites and the catalog year using the current checksheet.
Prepare a semester or stage checklist against your actual course handbook: capture official learning outcomes, project milestones, prerequisites and assessment guidance. Keep track of the commencement year because a university can change both compulsory subjects and elective options.
Independent academic support
Use online tutoring to discuss concepts, improve study plans, practise code and research methods, or prepare for your own presentation. Assessed work must be completed by the student in accordance with institution rules.
Read the official university source ↗. Also browse academic sessions and our learning journal.