The Undergraduate Data Analytics Certificate (DAC) is a collaborative, cross-disciplinary program. The Data Analytics Certificate can be completed by students in conjunction with any major program at UWG. The certificate is designed for students who aspire to work in academic, government, non-profit and business sectors. This certificate requires 12 credit hours (4 courses). No more than three courses per discipline will count toward the certificate.

For more information, please see the Academic Catalog.

  • Overview
  • Cost
  • Courses
  • Faculty
  • Admissions
  • Dates
  • Objectives
  • Overview

    The Undergraduate Data Analytics Certificate (DAC) is a collaborative, cross-disciplinary program. The Data Analytics Certificate can be completed by students in conjunction with any major program at UWG. The certificate is designed for students who aspire to work in academic, government, non-profit and business sectors. This certificate requires 12 credit hours (4 courses). No more than three courses per discipline will count toward the certificate.

    To apply for the Certificate in Data Analytics fill out the Online Application.

    Program Location

    Carrollton Campus

    Method of Delivery

    Face to Face

    Accreditation

    The University of West Georgia is accredited by The Southern Association of Colleges and Schools Commission on Colleges (SACSCOC).

    The Richards College of Business is accredited by the Association to Advance Collegiate Schools of Business - International (AACSB-I).

    Credit and transfer

    Total semester hours required: 12

  • Cost

    This program may be earned entirely face-to-face. However, depending on the courses chosen, a student may choose to take some partially or fully online courses.

    Save money

    UWG is often ranked as one of the most affordable accredited universities of its kind, regardless of the method of delivery chosen.

    Details

    • Total tuition costs and fees may vary, depending on the instructional method of the courses in which the student chooses to enroll.
    • The more courses a student takes in a single term, the more they will typically save in fees and total cost.
    • Face-to-face or partially online courses are charged at the general tuition rate and all mandatory campus fees, based on the student's residency (non-residents are charged at a higher rate).
    • Fully or entirely online courses are charged at the general tuition rate plus an eTuition rate BUT with fewer fees and no extra charges to non-Residents.
    • Together this means that GA residents pay about the same if they take all face-to-face or partially online courses as they do if they take only fully online courses exclusively; while non-residents save money by taking fully online courses.
    • One word of caution: If a student takes a combination of face-to-face and online courses in a single term, he/she will pay both all mandatory campus fees and the higher eTuition rate.
    • For cost information, as well as payment deadlines, see the Bursar's Office website

    There are a variety of financial assistance options for students, including scholarships and work study programs. Visit the Office of Financial Aid for more information.

  • Courses

    General

    One of the following courses in Statistics

    • ECON 3402 - Business Statistics I
    • POLS 3601 - Political Science Methods II
    • MATH 2063 - Introductory Statistics
    • MATH 3063 - Applied Statistics
    • CRIM/SOCI 4003 - Statistics in the Social Sciences
    One of the following courses in Research Methods
    • ECON 3406 - Business Statistics II
    • ECON 3460 - Forcasting
    • GEOG 2083 - Introduction to Geographical Analysis
    • MATH 4153 - Applied Mathematical Modeling
    • MATH 4803 - Analysis of Variance
    • MATH 4813 - Regression Analysis
    • MKTG 3808 - Business Research
    • POLS 2601 - Political Science Methods I
    • CRIM/SOCI 4000 - Research Methodology
    • PSYC 4220 - Research Explorations
    • PSYC 4150 - Tests and Measurements
    One of the following courses in Data Management, Analysis, and/or Visualization
    • CISM 3340 - Data Resource Management and Design
    • CRIM 4004 - Managing Data
    • SOCI 4015 - Analyzing and Visualizing Data
    • ECON 4475 - Introduction to Econometrics and Analytics
    • GEOG 2553 - Introduction to GIS and Mapping Science
    • MKTG 4868 - Marketing Metrics
    And one elective in an area of interest of expertise, including an approved internship

    • CISM-3340 - Data Resource Management and Design

      Application of development tools and languages (e.g., DBMS, Visual Basic, etc.) for business problem solving in a database environment.

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    • CRIM-4000 - Research Methodology

      An introduction to the logic and procedures of quantitative and qualitative research methods. Focuses on research design, use of computer and statistical packages, date interpretation, the relation of research and theory, and the writing of scientific research reports.

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    • CRIM-4003 - Statistics for Social Sciences

      Provides a systematic, precise, and rational perspective based on probability theory. Learn descriptive and inferential statistics and computer application of statistical packages. Same as PSYC 4003 and SOCI 4003.

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    • CRIM-4004 - Managing Data

      CRIM 4004 Managing Data 3/0/3 This course teaches students to build and manage databases using SPSS. An emphasis is placed on working with large national data sets, including those available through the U.S. Census Bureau and the Inter-University Consortium for Political and Social Research. Although a basic understanding of research methods and statistics is helpful, it is not necessary for this course. PRE-REQUISITES: CRIM 1100

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    • ECON-3402 - Statistics for Business I

      Course emphasis is on applications of statistics in business . Topics include methods of presenting data, numerical measures and correlation, probability theory and probability distributions, sampling distributions, estimation, and hypothesis testing.

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    • ECON-3406 - Statistics for Business II

      This course covers basic quantitative tools for use in strategic and business decision making. Topics include decision analysis, linear regression, forecasting, linear programming and waiting line models.

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    • ECON-3460 - Forecasting

      A study of the nature of business fluctuations and their underlying causes. Emphasis is on the application of various forecasting techniques with regard to analyzing and projecting future business and economic conditions at the national, regional, industry, and firm levels.

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    • ECON-4475 - Introduction to Econometrics and Analytics

      The course emphasis is on applications of econometrics and techniques in business analytics. Topics include methods of presenting data, numerical measures and correlation, estimation, linear/non-linear regression, limited dependent variables, simultaneous equations/instrumental variables, models of duration, and the use of these models in decision making processes. SAS business analytics software will be used in this course.

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    • GEOG-2083 - Introduction to Geographical Analysis

      An introduction to the practice of geographic research. The course takes a comprehensive approach to the research process in geography, including the development and formulation of research questions, the role of academic literature, identifying and working with relevant data sources, the application of qualitative and quantitative methods of data collection and analysis, and written and oral presentation of research findings.

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    • GEOG-2553 - Introduction to GIS and Mapping Sciences

      An introduction to GIS, mapping and geospatial sciences. Topics include introductory GIS, map projections, land partitioning systems, map reading, map analysis, GPS, map making, aerial photography, and remote sensing. This course will guide students to GIS, mapping sciences and emerging geospatial technologies.

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    • MATH-2063 - Introductory Statistics

      (Non-credit for mathematics major or minor). A non-calculus based introduction to methods of descriptive statistics, probability, discrete and continuous distributions, and other fundamental concepts or statistics. variance will be covered. Appropriate technology, a graphing calculator or statistical software package, will be used.

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    • MATH-4153 - Applied Mathematical Modeling

      An introduction to the creation and use of mathematical models. Mathematical techniques will be developed and applied to real systems in areas including chemistry, biology, physics and economics. Students will be expected to make written and oral presentations in a professional manner. This course will emphasize the creation and testing of models and discussions of errors and forecasting. Students will work on projects singly and as part of a group.

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    • MATH-4803 - Analysis of Variance

      This course involves a thorough examination of the analysis of variance statistical method including hypotheses tests, interval estimation, and multiple comparison techniques of both single-factor and two-factor models. Extensive use of a statistical computer package, Minitab, will be a necessary part of the course.

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    • MATH-4813 - Regression Analysis

      This course involves a thorough examination of both simple linear regression models and multivariate models. The course requires extensive use of statistical software for confidence intervals, statistical tests, statistical plots, and model diagnostics.

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    • MKTG-3808 - Business Research

      This course is designed to meet the rapidly growing need for a systematic approach to the business research process, and its implementation in terms of strategic decision making. Both primary and secondary sources of information are considered along with research design, measurement, sampling, data collection, processing, analyses, and interpretation.

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    • MKTG-4868 - Marketing Metrics

      The Marketing Metrics Course will provide students with a methodology to measure and track marketing performance. The course has three primary objectives: Learn and understand key marketing metrics; Employ Microsoft Excel to analyze a firm's marketing performance through marketing metrics; Use the resulting analyses to make optimal marketing decisions.

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    • POLS-2601 - Political Science Methods I

      Students are introduced to various qualitative and quantitative methods used in the social sciences. They learn how to find, evaluate and ethically use appropriate information to conduct political science research. They construct research questions and write research papers using case studies, comparative methods and statistics.

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    • POLS-3601 - Political Science Methods II

      POLS 3601 Political Science Methods II Credits: 3.0 As a sequence of POLS 2601, this course focuses on quantitative research methods for political science. Students are introduced to quantitative data collection methods and basic statistical analyses. Lecture: 3.00 Lab: .00 College: College of Social Sciences Department: Political Science/Planning Pre-requisites: POLS 2601

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    • PSYC-4150 - Tests and Measurements

      This course is concerned with the theory and practice of educational and psychological measurement. The focus is on the technology of measurement rather than on the development of skill in the use of any given measuring instrument. Classroom test construction will be emphasized. Same as CEPD 4150 and SEPD 4150.

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    • PSYC-4220 - Research Explorations

      Designed to encourage personal and collective original research into areas of particular interest in psychology and to acquaint the student more closely with various methodologies.

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    • SOCI-4000 - Research Methodology

      An introduction to the logic and procedures of quantitative and qualitative research methods. Focuses on research design, use of computer and statistical packages, data interpretation, the relation of research and theory, and the writing of scientific research reports.

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    • SOCI-4003 - Applied Statistics for Sociology

      Introduction to statistical methods used in the analysis of quantitative social science data. This course focuses on applying common statistical techniques to real-world problems. Students will also gain experience explaining statistical analysis to both technical and non-technical audiences. Pre-requisite: SOCI 1101

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    • SOCI-4015 - Analyzing & Visualizing Data

      Students gain experience using a variety of software applications to create charts, graphs, and other visual presentations of social science data in order to communicate complex quantitative information to non-specialists. Pre-Requisite: SOCI 4003

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  • Faculty

    No faculty members listed

  • Admissions

    Guidelines for Admittance

    Specific requirements are associated with the following areas: FreshmanAdult LearnersTransfer; International; Home School; Joint/Dual Enrollment; Transient; AuditorPost-Baccalaureate Non-Degree Seeking

    Application Deadlines

    Specific Graduate Admissions Deadlines are available via the Graduate School

    * Application, app fee, and document deadline

    See The Scoop for more specific deadlines.

    Admission Process Checklist

    Check your Application Status

    Contact

    Contact the Office of Admissions for additional information.

  • Dates

    Specific dates for Admissions (Undergraduate only), Financial Aid, Fee Payments, Registration, Start/End of term, Final Exams, etc. are available in THE SCOOP.

  • Objectives

    Objectives not available