Image
professor teaching to students

Data Analytics - Minor

The Data Analytics minor trains students to use data to inform decision-making and create solutions. Students learn to acquire and collect raw data in various formats, convert raw data to usable formats and then understand how to appropriately analyze the data to draw accurate and useful conclusions. Graduates of the program will be able to use their skills across a wide-range of industries as well as in the non-profit and government sectors.

Contact Us

Apply Now
Request Info
Schedule a Visit

Program Information for Data Analytics - Minor

Learning Outcomes

Program Learning Outcomes 

Graduates of this program will be able to:

  1. Acquire and collect raw data in various formats.
  2. Convert raw data to usable formats.
  3. Analyze the data to draw accurate and useful conclusions.
Admissions for Data Analytics - Minor

Admission Requirements

Admission to a minor is open to students declared in a bachelor’s degree, the A.A.B. or A.A.S. degree or the A.T.S. degree (not Individualized Program major). Students declared only in the A.A. or A.S. degree or the A.T.S. degree in Individualized Program may not declare a minor. Students may not pursue a minor and a major in the same discipline.

To declare the Data Analytics minor, students must have completed following courses (or their equivalent) with a minimum C- grade: ECON 22060 and (MATH 11012 or MATH 12002).

Coursework

Program Requirements

Minor Requirements

Minor Requirements
ECON 32050APPLIED ECONOMETRICS I (ELR) (min C grade)3
ECON 32051APPLIED ECONOMETRICS II 3
ECON 42050DATA ACQUISITION, PREPARATION AND VISUALIZATION 3
MATH 10041INTRODUCTORY STATISTICS (KMCR) 13-4
or BA 24056 BUSINESS ANALYTICS I
Programming Elective, choose from the following:3
CS 13011
CS 13012
COMPUTER SCIENCE IA: PROCEDURAL PROGRAMMING
and COMPUTER SCIENCE IB: OBJECT ORIENTED PROGRAMMING
EMAT 25310
CREATIVE CODING
Programming or Applied Elective, choose from the following:3
Programming Elective
CS 23001
COMPUTER SCIENCE II: DATA STRUCTURES AND ABSTRACTION
Any other programming course with approval
Applied Elective 2
ACCT 43009
ACCOUNTING DATA ANALYTICS
CIS 44043
DATABASE DESIGN AND DATA GOVERNANCE
ECON 42068
INDUSTRIAL ORGANIZATION: FIRMS AND STRATEGY
ECON 42072
LABOR ECONOMICS: WORK AND PAY
ECON 42191
SENIOR SEMINAR IN ECONOMICS (WIC)
FDM 35270
COMPUTER APPLICATIONS IN RETAILING
FIN 36086
ADVANCED FINANCIAL MODELING
MKTG 35061
MARKETING ANALYTICS
Minimum Total Credit Hours:18
1

Students who have taken an equivalent course in introductory statistics or have an equivalent AP statistics exam score may substitute for the statistics requirement.

2

Students may be allowed to choose an appropriate applied data course from their major discipline, subject to approval by the undergraduate coordinator in economics.

Graduation Requirements

Minimum Minor GPA Minimum Overall GPA
2.500 2.000
  • Students are expected to satisfy course prerequisites for each course required in the minor. Prerequisites are not tied to a particular catalog; therefore it is important to look at the most current information about a course. 
  • Student may not pursue a minor and a major in the same discipline
  • Minimum 6 credit hours in the minor must be upper-division coursework (30000 and 40000 level).
  • Minimum 6 credit hours in the minor must be outside of the course requirements for any major or other minor the student is pursuing.
  • Minimum 50 percent of the total credit hours for the minor must be taken at Kent State (in residence).
Program Delivery
  • Delivery:
    • In person
  • Location:
    • Kent Campus