Major & Minor

The Data Analytics major is structured with an interdisciplinary core curriculum that emphasizes both the liberal arts and professional skills development.

Students in the major will gain exposure to ethical concerns in the discipline and build the critical thinking and communication skills necessary to interact with clients and end-users of big data analyses.

Data Analytics Major Core

Specialities

Data Analytics Minor


The Major Core

A 30-credit major core gives students breadth of knowledge and a strong foundation in data analytics.

Students taking the Actuarial Science specialty need to take ACTS/MATH 131 since it is a perquisite for courses  in the Actuarial Science specialty

  • STAT 170: Statistical Modeling and Data Analysis II
  • STAT 172: Generalized Linear Models and Data Mining
  • STAT/CS 190: Case Studies in Data Analytics and Big Data


Course Rotation

Offered every fall and spring: ACTS/MATH 131, STAT 170, CS 065 & 66,  STAT 40
Offered every fall: CS 167
Offered in spring 2017: CS 83
Offered every spring: STAT 172, CS 178, STAT/CS 190

Note: STAT/MATH 130 will be offered once a year but exactly when is still TBA.

The 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. Each specialty includes a capstone course and recommended internship experience. The following specialties will be available to students beginning in Fall 2015; options may expand as the program grows.

Actuarial
12 credit hours plus capstone and recommended internship

  • ACTS 120 and 120L: Theory of Interest and Lab
  • ACTS 121: Introduction to Derivatives 
  • ACTS 132 and Lab: Introduction to Probability II and Lab 
  • ACTS 145: Derivatives Mathematics
  • Math 100: Calculus III
  • Capstone according to policies in CBPA/ACTS
  • Internship according to policies in CBPA/ACTS(recommended)

Bioinformatics
16 credit hours plus recommended internship

  • BIO 012: General Biology + Lab
  • BIO 105: Introduction to Genetics or BIO 165: Cell Biology
  • BIO 116: Bioinformatics
  • BIO 186: Molecular Biology
  • BIO 198: Internship or similar course (1-12 credit hours) - recommended
  • BIO 199: Capstone

Computational
13 credit hours plus recommended internship

  • Pick four courses among:
    • 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 courses in computer science, informational systems, mathematics and in other disciplines (by permission of the instructor)
  • CS 191: Capstone
  • CS 140: Internship or similar course (recommended)

Electronic Commerce
9 credit hours plus capstone and recommended internship

  • Pick three among the following:
    • IS 074: Advanced IT Applications for Business
    • IS 145: Website Technology
    • IS 160: Database Management
    • IS 194: Electronic Commerce
    • Another electronic commerce-related business course
  • Capstone according to policies in CBPA
  • Internship according to policies in CBPA(recommended)

Economics
15 credit hours plus capstone and recommended internship

  • ECON 001: Principles of Macroeconomics
  • ECON 002: Principles of Microeconomics
  • ECON 107: Econometrics
  • ECON 173: Intermediate Microeconomic Analysis
  • ECON 174: Intermediate Macroeconomic Analysis
  • Capstone according to policies in CBPA/ECON
  • Internship according to policies in CBPA(recommended)

Finance
12 credit hours plus capstone and recommended internship

  • FIN 101: Corporate Finance
  • FIN 102: Advanced Corporate Finance
  • FIN 121: Introduction to Derivatives
  • FIN 193: Portfolio Analysis
  • Capstone according to policies in CBPA/FIN
  • Internship according to policies in CBPA(recommended)

Marketing
12 credit hours plus capstone and recommended internship

  • MKTG 101: Marketing Principles
  • MKTG 113: Marketing Research
  • Two of the following three:
    • MKTG 109: Marketing and the Internet
    • MKTG 111: Direct and Interactive Marketing
    • MTKG 130: Field Applications in Marketing
  • Capstone according to policies in CBPA/MKTG
  • Internship according to policies in CBPA(recommended)

Mathematics
13 credit hours plus recommended internship

  • Pick three among the following:
    • MATH 125: Mathematical Modeling
    • MATH 127: Game Theory
    • CS/MATH 165: Numerical Methods
    • MATH 176: Advanced Linear Algebra
  • MATH 120: Differential Equations
  • MATH 191: Capstone
  • MATH 140: Internship or similar course (recommended)

Minor

Drake students in any undergraduate field of study may choose to enhance their degree with a minor in Data Analytics, developing basic skills and proficiencies through six courses totaling 21-22 credits. The minor is a valuable option for students of any major, and may be of particular interest to Drake’s PharmD students.

  • CS 065: Introduction to Computer Science I
  • CS 066: Introduction to Computer Science II
  • One of the following:
    • CS 167: Machine Learning
    • STAT 172: Generalized Linear Modeling**
  • Pick one of the following:
    • CS 178: Cloud Computing and Database Systems
    • STAT 170: Statistical Modeling and Data Analysis II***, or
    • IS 160: Database Management

 
*first offering is expected to be Spring 2016; prereq.: Math 070

**to be first offered Spring 2017; prereq.: STAT 170

***prereq.: STAT/MATH 130

Course rotation of courses in the minor:

  • Offered every fall and spring: CS 065 & 66, MATH 28 & 50, STAT 40, 60 & 71, STAT 170
  • Offered every fall: CS 167, IS 160
  • Offered every spring: STAT 172, CS 178
  • Offered every spring, beginning Spring 2016: STAT/MATH 130
University News
September 22, 2016
The Drake University Chamber Choir, choirs from four Des Moines area high schools, and a professional orchestra will perform Gabriel Faure’s well-known Requiem at 3 p.m. Sunday, Oct. 9.
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