College of the Sciences
Statistical Data Science
Bachelor of Science | Major
Data Science, BS—Statistical Data Science Specialization
In this innovative program, you will study the intersection of statistics, computer science, and mathematics to unlock the power of data and transform it into actionable insights.
The Statistical Data Science Specialization is a comprehensive suite of skills ranging from data management, data visualization, machine learning, and advanced statistical methods to further equip you with an understanding of statistical theory. These skills enable you to analyze complex datasets with precision and deliver insightful data stories that drive strategic decision-making.
Questions? Contact Us.
Mathematics Department
Samuelson Hall Rm. 208
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What You'll Study
Academic Catalog | Mathematics Department Website
Core Courses
- CS 110 - Programming Fundamentals I
- CS 111 - Programming Fundamentals II
- CS 112 - Introduction to Data Science in Python
- CS 301 - Data Structures
- CS 302 - Advanced Data Structures and File Processing
- CS 325 - Technical Writing in Computer Science
- CS 420 - Database Management Systems
- MATH 172 - Calculus I
- MATH 173 - Calculus II
- MATH 260 - Sets and Logic
- MATH 265 - Linear Algebra I
- MATH 314 - Probability and Statistics
- MATH 330 - Discrete Mathematics
- MATH 410A - Advanced Statistical Methods I
- PHIL 318 - Ethics for Big Data and Technology
Statistical Data Science Specialization
- MATH 272 - Multivariable Calculus I
- MATH 273 - Multivariable Calculus II
- MATH 309 - Mathematical Computing
- MATH 410B - Advanced Statistical Methods II
- MATH 411A - Probability Theory
- MATH 411B - Mathematical Statistics I
- MATH 478 - Acquiring and Cleaning Data in Data Science
- MATH 479 - Data Analysis in Data Science
- MATH 499D - Data Science Senior Seminar
Data-Driven Skills
Gain expertise in statistical methods and data analysis techniques, essential for making informed decisions in various industries.
Comprehensive Curriculum
Study a broad range of topics, including data mining, statistical modeling, and predictive analytics, to build a strong foundation in statistical data science.
Industry-Relevant Tools
Learn to use advanced data science tools and software, preparing you for high-demand roles in data analysis and data science.
Growing Field
Enter a rapidly expanding field with strong job prospects, driven by the increasing importance of data in decision-making.
Courses
Courses are offered in person and online.
Starting Salaries
Competitive starting salaries can range from $80,000-$140,000 annually.
Learning
Participate in practical projects and research opportunities, allowing you to apply theoretical knowledge to real-world data problems.
Why Study Mathematics at Central?
- Our programs provide a strong foundation in critical thinking, problem-solving, and data analysis, essential for careers in in-demand fields including actuarial and data science.
- Our faculty are more than just instructors, they are industry experts who can provide real-world knowledge that drives practical skill building.
- Experience personalized guidance and mentorship from our close-knit department and small
class sizes with upper-level math courses having only 20-25 students.
Careers
Data scientist
Data analyst
Statistician