OHIO University Undergraduate Catalog 2024-25
Data Analytics Major (B.S.) |
Major code BS1117
University College
Chubb Hall 140
Athens, OH 45701
Phone: 740.593.1935
Fax: 740.593.0206
university.college@ohio.edu
www.ohio.edu/university-college/
David Nguyen, Dean - University College/contact person
nguyend4@ohio.edu
Program Overview
The program in Data Analytics provides for a rigorous interdisciplinary education in data-centered methods toward a field of knowledge chosen by each student. The program consists of Core Classes , a set of General Requirements that relate to a Domain Requirement in the form of a student-selected Track , and a Capstone course. The capstone focuses on an integrated portfolio or novel research. Instruction is offered by faculty across the university community, giving the student a wide range of perspectives on data analytics.
Admissions Information
Freshman/First-Year Admission
Admission is open to all students admitted to Ohio University who have achieved MATH Placement Level 2 (student is eligible to take MATH 1350), so long as the maximum enrollment for the program (approximately 36 new students per year) has not been reached.
Change of Program Policy
Current Ohio University students who have achieved MATH Placement Level 2 are welcome to apply to the Data Analytics major. Please reach out to the program contact for more information.
External Transfer Admission
Admission is open to all students admitted to Ohio University who have achieved MATH Placement Level 2 (student is eligible to take MATH 1350), so long as the maximum enrollment for the program (approximately 36 new students per year) has not been reached.
Opportunities Upon Graduation
The Data Analytics major signifies a student’s readiness for either 1) a career in the public, private, or nonprofit sectors, or 2) graduate study. Students who want to start a career in data analytics will find demand for data-trained employees in every sector of the economy, insofar as businesses, organizations, and agencies of all kinds increasingly see a need for data-informed understanding in a data-rich world.
Requirements
University-wide Graduation Requirements
Ohio University requires the completion of a minimum of 120 semester hours for the conferral of a bachelor’s degree. This program can be completed within that 120-hour requirement. For more information on the minimum hours requirement and other university-wide requirements, please review the Graduation Requirements – University-wide page.
Core Requirements
Complete the following courses with a grade of C (2.0) or better:
- DATA 4510 - Data Programs Capstone Credit Hours: 3
- MATH 2530 - Introductory Data Science Credit Hours: 4
- MDIA 4132 - Visual Analytics Credit Hours: 3
Introductory Data Analysis
Complete one of the following data analysis courses:
- ECON 2200 - Introduction to Economic Data Analysis Using Python Credit Hours: 3
- ECON 2890 - Economic Data Analysis with Excel and SAS Credit Hours: 3
- GEOG 2710 - Introduction to Statistics in Geography Credit Hours: 3
- PBIO 3150 - Statistical Methods in Plant Biology Credit Hours: 4
- POLS 2800 - Analyzing Politics: Applied Statistics for Government, Public, and International Affairs Credit Hours: 3
- QBA 1721 - Introduction to Information Analysis and Descriptive Analytics for Nonmajors Credit Hours: 3
Calculus
Complete one of the following courses (contingent upon MATH Placement level):
- MATH 1350 - Survey of Calculus Credit Hours: 4
- MATH 2301 - Calculus I Credit Hours: 4
Programming
Complete one of the following courses (with placement as appropriate per course prerequisites):
- CS 1400 - Fundamentals of Computing Credit Hours: 3
- CS 2300 - Computer Programming in JAVA Credit Hours: 4
- CS 2400 - Introduction to Computer Science I Credit Hours: 4
- ET 2100 - Engineering Programming Credit Hours: 4
Statistical Applications
Complete one of the following courses. Note: A course selected for the Statistical Applications requirement may not also be used to fulfill a Track requirement.
- ECON 4850 - Economic Methodology Credit Hours: 3
- ECON 4870 - Econometrics Credit Hours: 3
- ECON 4890 - Economics with SAS Credit Hours: 3
- GEOG 4710 - Quantitative Methods in Geography Credit Hours: 3
- GEOL 3050 - Statistical Methods in Geology Credit Hours: 4
- ISE 4160 - Principles of Six Sigma Credit Hours: 3
- ISE 4300 - Introduction to Designed Experiments Credit Hours: 2
- MATH 3500 - Probability Credit Hours: 3
- MATH 4501 - Mathematical Statistics I Credit Hours: 3
- MATH 4502 - Mathematical Statistics II Credit Hours: 3
- MATH 4530 - Statistical Computing Credit Hours: 3
- MATH 4550 - Basic Principles of Actuarial Science Credit Hours: 3
- MATH 4560 - Life Contingencies Credit Hours: 3
- PBIO 3150 - Statistical Methods in Plant Biology Credit Hours: 4
- PSY 2120 - Research Methods in Psychology Credit Hours: 4
- PSY 3110 - Advanced Statistics for the Behavioral Sciences Credit Hours: 4
- QBA 2720 - Business Analytics Credit Hours: 3
- SOC 4500 - Data Analysis Credit Hours: 3
Domain Requirement
Complete a minimum of four classes for a total of at least 12 credit hours in one of the following tracks:
Communication
- COMS 3520 - Quantitative Inquiry in Communication Credit Hours: 3
- JOUR 4790 - Data Journalism Credit Hours: 3
- MDIA 4130 - Social Media Analytics Credit Hours: 3
- VICO 3010 - Communicating with Data Visualization Credit Hours: 3
Economics
- ECON 3070 - Economic Data Analysis Credit Hours: 3
- ECON 3150 - Economics of Health Care Credit Hours: 3
- ECON 3810 - Economic Statistics Credit Hours: 3
- ECON 4850 - Economic Methodology Credit Hours: 3
- ECON 4870 - Econometrics Credit Hours: 3
- ECON 4890 - Economics with SAS Credit Hours: 3
Geography/Geographic Information Sciences
- GEOG 3031 - Meteorological Observations Credit Hours: 2
- GEOG 3600 - Principles of Cartography Credit Hours: 4
- GEOG 3610 - Cartography II Credit Hours: 4
- GEOG 3650 - Air Photo Interpretation Credit Hours: 3
- GEOG 3712 - Geographic Field Methods Credit Hours: 3
- GEOG 4035 - Introduction to Meteorological Radar Systems, Observations, and Techniques Credit Hours: 3
- GEOG 4660 - Principles of Remote Sensing Credit Hours: 4
- GEOG 4730 - Principles of GIS Credit Hours: 4
- GEOG 4740 - GIS Programming with Python Credit Hours: 4
- GEOG 4760 - Advanced Spatial Analysis and GIS Applications Credit Hours: 4
Health
- HLTH 3300 - Community Health Epidemiology Credit Hours: 3
- HLTH 3735 - Introduction to Health Informatics Credit Hours: 3
- IHS 3520 - Research and Evidence-based Practice in Healthcare Credit Hours: 3
- IHS 3521 - Global Health Research and Service Credit Hours: 3
- IHS 4303 - Secondary data analysis in global health and development Credit Hours: 4
Plant Biology
- PBIO 1140 - Foundations of Plant Biology Credit Hours: 4
- PBIO 3240 - Plant Physiology Credit Hours: 4
- PBIO 3260 - Plant Ecophysiology Credit Hours: 4
- PBIO 4350 - Plant Population Biology and Community Ecology Credit Hours: 4
- PBIO 4380 - Soil Properties and Ecosystem Processes Credit Hours: 4
- CS 4160 - Problem Solving with Bioinformatics Tools Credit Hours: 3
-
or
- PBIO 4160 - Problem Solving with Bioinformatics Tools Credit Hours: 3
Politics and Government
- POLS 4062 - American Voting Behavior Credit Hours: 3
- POLS 4065 - Public Opinion, Political Participation, and Protest Credit Hours: 3
- POLS 4070 - Strategic Decision-Making Credit Hours: 3
- POLS 4145 - Policy Implementation and Evaluation Credit Hours: 3
- POLS 4152 - Public Sector Cost Accounting Credit Hours: 3
- POLS 4480 - Comparative Public Policy Credit Hours: 3
- POLS 4600 - International Political Economy Credit Hours: 3
- POLS 4830 - Introduction to Research Design Credit Hours: 3