Data Science and Analytics
If you love working with and manipulating numbers, analyzing outcomes, and helping others understand how data can work for them, a degree in Data Science and Analytics from St. Ambrose University will prepare you for a high-demand career that matches your goals.
You can enroll in this brand-new program at SAU beginning Fall 2018!
- Internships at top national companies
- Small class sizes
- Learn ethical data practices
More Information on Data Science and Analytics
You will take courses in probability and statistics; statistical modeling with data analysis; computer science; advanced math; and in your last year, a project-based capstone.
Throughout your undergraduate studies, you will learn how to think with data and apply statistical concepts and computing in order to convert data into solutions and insight. Studying data science at SAU means when you arrive at a conclusion, you'll always consider its possible ethical and socioeconomic implications.
This critical insight is essential to industries and companies that use big data to inform their decisions.
Pairing your Data Science and Analytics major with a second major that builds similar skills helps you get the most out of college. A double major in industrial engineering, computer science, or mathematics can be an excellent choice as there is significant overlap in courses.
A degree in Data Science and Analytics will make you a very sought-after employee.
Although finance/insurance, professional services, and IT hire the most data scientists, many industries – from healthcare to retail – will need your expertise. In fact, by 2024 the U.S. won't have enough date science and analytics professionals; we'll have a shortage of about 250,0001.
Your salary matches demand: fresh out of college with just a bachelor's degree, you could earn between $75,000 to $80,000 working in this field. In fact, the average salary is around $100,000.2
1McKinsey Global Institute
All courses are 3 credits unless otherwise noted.
MATH 191 Calculus I, 4 credits
MATH 192 Calculus II, 4 credits
MATH 290 Linear Algebra
MATH/STAT 300 Probability and Statistics
MATH/STAT 301 Statistical Modeling
MATH/STAT 305 Advanced Data Science
MATH/STAT 306 Ethics of Data Analysis
MATH/STAT 390 Mathematical Programming
CSCI 195 Object-Oriented Programming I
CSCI 295 Object-Oriented Programming II
CSCI 310 Data Structures
CSCI 360 Database Management
MATH/STAT 391 Capstone, 1 credit