Data Analytics

Program Options

Data Analytics web site


Program Overview

Data Analytics is a joint program of the College of Business and Public Administration and the College of Arts and Sciences designed to develop analysts who can work with data to uncover practical insights and support sound and ethical decision-making.  The foundation of the program is a core of computer science and statistics classes that build problem-solving skills.  Each student also takes courses in an application (or specialty) field to which data analytics competencies are applied.


Requirements for Major

The Data Analytics major core consists of 30 credit hours, with the specialty requiring nine 14.5 hours.  Specialties include:

  • Actuarial Science
  • Bioinformatics
  • Computational
  • eCommerce
  • Economics
  • Finance
  • Marketing
  • Mathematics
The Major Core
Course Credits
CS 065 - Introduction to Computer Science I 3
CS 066 - Introduction to Computer Science II 3
CS 083 - Computer Ethics 3
CS 167 - Machine Learning 3
CS 178 - Cloud Computing and Database Systems 3
CS/STAT 190 – Capstone: Case Studies in Data Analytics and Big Data 3
STAT 040 - Introduction to R and SAS 3
MATH/STAT 130 - Probability for Analytics or ACTS/STAT 131 – Introduction to Probability + lab 3 or 3.5
STAT 170 – Statistical Modeling and Data Analysis II 3
STAT 172 –Generalized Linear Models and Data Mining 3

Requirements for Specialties

To complete the course of study, each Data Analytics student will choose at least one specialty area through which foundational data analytics principles are applied. 

Actuarial Science

Course Credits
Choose four courses among the following. Both courses in a pair must be taken:  
ACTS 120 and 120L - Theory of Interest 3.5
ACTS 121 – Introduction to Derivatives and ACTS 145 – Derivatives Mathematics 6
ACTS 131 and 131L - Introduction to Probability I 3.5
Choose two courses from the following:
ACTS 135 - Mathematical Statistics 3
ACTS 150 - Life Insurance Mathematics I 3
ACTS 161 - Short-Term Actuarial Mathematics I 3
FIN 102 - Advanced Corporate Finance 3
Total 16

Bioinformatics

13 credit hours plus recommended internship.

Course Credits
BIO 012 – General Biology I 3
BIO 012L – General Biology I Lab 1
BIO 105 – Introduction to Genetics, or
BIO 165 – Cell Biology
3
BIO 116 - Bioinformatics 3
BIO 186 – Molecular Biology 3
BIO 198 – Internship or similar course (recommended) 1-12
Total  

Computational

12 credit hours plus recommended internship.

Course Credits
Choose four courses among the following:  
CS 137 – Data Structures and Algorithms
CS 143 – Artificial Intelligence
CS 147 - Graphics
CS 160 – Operating Systems
CS 165 – Numerical Methods
CS 188 – Software Engineering
Appropriate topics course in computer science, informational systems, mathematics, and in other disciplines, by permission of the instructor
12
Internship or similar course (recommended) 3
Total 15

Electronic Commerce

9 credit hours plus capstone and recommended internship.

Course Credits
Choose three courses among the following:  
IS 114 – Advanced IT Applications for Business
IS 145 – Website Technology
IS 160 – Database Management
IS 194 – Electronic Commerce (no longer offered after spring 2018)
Another electronic commerce-related business course
9
Internship (recommended)  
Total  

Economics

12 credit hours plus capstone and recommended internship.

Course Credits
ECON 010 – Principles of Macroeconomics 3
ECON 170 - Econometrics 3
ECON 173 – Intermediate Microeconomic Analysis 3
ECON 174 – Intermediate Macroeconomic Analysis 3
Internship (recommended)  
Total  

Finance

Nine credit hours and recommended internship.

Course Credits
FIN 102 – Advanced Corporate Finance 3
FIN 121 – Introduction to Derivatives 3
FIN 193 – Portfolio Analysis 3
Internship (recommended)  
Total  

Marketing

Nine credit hours and recommended internship.

Course Credits
MKTG 113 – Marketing Research 3
Choose two among the following:  
MKTG 109 – Marketing and the Internet
MKTG 111 – Direct and Interactive Marketing
MKTG 120 - Digital Marketing
MKTG 130 –Marketing Analytics 
6
Internship (recommended)  
Total  

Mathematics

12 credit hours plus recommended internship.

Course Credits
Choose three courses among the following:  
MATH 125 – Mathematical Modeling
MATH 127 – Game Theory
CS/MATH 165 – Numerical Methods
MATH 176 – Advanced Linear Algebra
STAT/MATH TBA - Probability
9
MATH 120 – Differential Equations 3
MATH 140 - Internship or similar course (recommended)  
Total  

Data Analytics Minor

Course Credits
CS 065 – Introduction to Computer Science I 3
CS 066 – Introduction to Computer Science II 3
Choose one course among the following:  
MATH 028 – Business Calculus
MATH 050 – Calculus I
MATH 070 – Calculus II (recommended if students take STAT 172 below)
3-4
STAT 040 – R and SAS 3
Choose one course among the following:  
STAT 060 – Statistics for the Life Sciences
STAT 071 – Statistics I
STAT/MATH 130 – Introduction to Probability
3
Choose one course among the following:  
CS 167 – Machine Learning
STAT 172 – Generalized Linear Models and Data Mining
3
Choose one course among the following:  
CS 178 – Cloud Computing and Database Systems
STAT 170 – Statistical Modeling and Data Modeling
IS 160 – Database Management
3
Total  21 or 22

 


2017-2018 Drake University Undergraduate Catalog
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