Data Analytics Minor

Minor Requirements: Twenty-two (22) – Twenty-four (24) semester hours.

  • At least twelve (12) semester hours must be taken at Aquinas.
  • Only courses with a grade of C- or better will count toward the minor.
BS201 Principles of Management 3.0
CS152 Spreadsheets 1.0
CS154 Database 1.0
CS180 Structure and Logic 4.0
CS252 Advanced Spreadsheets 1.0
MS252 Statistics 3.0
MS282 Applied Statistics with R 3.0
One (1) course from the following:
MS114 Precalculus 4.0
MS121 Calculus I 4.0
Any course with MS121 as a prerequisite 3 or 4
One (1) course from the following (most courses have prerequisites that must be met):
CY215 Quantitative Analysis 4.0
ES465 Econometrics 3.0
GY280 Geospatial Analysis 3.0
MS340 Linear Regression 3.0
PG/SY202 Introduction to Research and Design 4.0
SB204 Sustainable Business Metrics and Reporting 3.0



  • BS201 Principles of Management (3) SS1

    The focus is on the study of the origin and development of management theory, processes of management, decision-making, leadership, communication, social responsibility, and international management. Emphasis on application of management principles to managing organizations.

  • CS152 Spreadsheets (1)

    This hands-on lab course covers basic spreadsheet functions such as simple formulas, formatting, and print layout using Microsoft Excel. Course projects introduce skills using a variety of formulas and basic functions, charts, and absolute addressing. This course would be beneficial to any students with a desire to analyze numerical data, manage finances, perform simple statistics, or generate charts and graphs.

  • CS154 Database (1)

    This hands-on lab course covers basic database and file management functions using Microsoft Access. It is a software application class, not a programming course, and introduces skills such as creating reports, setting up input forms, and looking up database information. Database software packages are used to create and manage data files such as employee records, inventory files, names and addresses, and business contact lists. This course would be beneficial to students of all backgrounds.

  • CS180 Structure and Logic (4)

    Fundamental concepts in structured object-oriented programming. Structures include sequence, selection, repetition, writing, and the use of methods and objects. Programs will be designed using the Warnier-Orr diagramming tool. Designs will be coded, debugged, and tested using a programming language. Co-requisite of CS170 recommended.

  • CY215 Quantitative Analysis (4) QR

    A first course in chemical analysis. Topics include gravimetric and volumetric methods, statistical applications, ionic equilibria, chromatography, and spectroscopy. Two (2) hours of lecture and two three-hour laboratory periods per week. Prerequisite: CY112 (or equivalent) with a grade of C– or better. This course is not accepted for the Natural World Physical Science requirement.

  • CS252 Advanced Spreadsheets (1)

    This course is the second of two courses in spreadsheets. It is designed to teach advanced topics such as advanced formulas, list management, templates, object linking and embedding, macros, Visual Basic for Applications, data validation, and pivot charts and tables. Prerequisite: CS152.

  • ES465 Econometrics (3)

    Introduction to Econometrics offers a general introduction to econometric methodology. The course begins with the classical linear regression model. After analyzing the properties of the simple and multivariate regression models, we will delve into a richer class of models to deal with endogeneity, such as IV-regression, and 2SLS-regression. At this point, we will switch gears, and learn basic techniques of time-series data. All topics in the class will be analyzed in two contexts: theory and application. That is, after analyzing the theoretic properties of estimators, we will then apply them to real-life examples and data sets, with emphasis on both visualization and interpretation. The semester will conclude with group projects. Prerequisites ES211, ES212, MS110 or MS111, and MS151 or higher level statistics course.

  • GY280 Geospatial Analysis (3) (SS1/SS2)

    Fundamental skills in a variety of geospatial data collection and analysis technologies, including GPS and web-based mapping and GIS analysis, to investigate geographic patterns and questions. Two (2) hours lecture and two (2) hours lab (GY280L).

  • MS114 Precalculus (4) MS

    Linear and quadratic functions; equations and inequalities; transformations; systems of linear equations and inequalities; polynomial, rational, exponential, logarithmic and trigonometric functions, and graphing; conic sections. Prerequisite: Three (3) years of college-preparatory math or MS111.

  • MS121 Calculus I (4) MS

    Functions, limits, continuity, derivatives, antiderivatives, Fundamental Theorem of Calculus, solids of revolution. This course has five contact hours per week. Prerequisites: Three and one-half years of college-preparatory math, including trigonometry or MS114.

  • MS252 Statistics (3)

    Designed for students who have had at least three (3) years of high-school mathematics or its equivalent. Topics to be covered include frequency distributions, variability, probability, sampling, estimation, testing, hypotheses, analysis of variance, regression and correlation analysis, and nonparametric tests. (Course counts as three (3) semester hours toward a minor, but only one (1) semester hour toward a major.) Prerequisite: MS114.This course is not accepted for the General Education Mathematics requirement.

  • MS282 Applied Statistics with R (3) MS

    The course is designed to provide participants with a basic understanding of common statistical computing approaches and how to apply those approaches to common industry and research scenarios. Following completion of the course, students will possess the requisite programming skills to function as a programmer analyst in an analytical work environment. Topics include: importing/exporting data in various formats; character and numeric manipulation; merging; subsetting, and combining data sets; effective programing with common data structures; and producing high quality graphics and reports for end users. The free and open source R programming language will be used extensively throughout the course to teach fundamental programming concepts and applied statistical approaches. Introductory Statistics with R {Daalgard 2008} will serve as a supplemental text to aid in retention and understanding of the topics covered.

  • MS340 Linear Regression (3)

    The study of regression techniques and applications in statistics. Topics include linear regression, analysis of variance (ANOVA), multiple regression, analysis of covariance (ANCOVA), and linear hypotheses. Prerequisites: MS232 and at least one of MS252 and MS494. MS282 is recommended.

  • PG202/SY202 Research Methods (4) SS1/SS2

    This course is an introduction to the research process: scientific method, basic nature of research, analysis of major research designs used in lab, field, and natural environment; how to write a research proposal, conduct an experiment, write a research report; lecture and lab. Prerequisite: PG100 or SY101 and SY/CN/PG 151 or equivalent. This course is not accepted for the Social Science General Education requirement.

  • SB204 Sustainable Business Metrics and Reporting (3)

    For many corporations, and organizations the starting point for addressing sustainability challenges is baseline data collection and reporting. Sustainability reporting enables companies and organizations to report environmental, social and economic information in a way that is similar to financial reporting. In recent years, the number of organizations issuing such reports has increased rapidly. This course is an introduction to sustainability reporting and metrics in both corporate and academic settings. You will learn about sustainability reporting guidelines and best practices through lectures and by reading several sustainability reports. After gaining this foundational knowledge, you will be developing a sustainability report for Aquinas College. Prerequisite: SB100