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Data Analytics

  • Minor

Data science is currently one of the most in-demand careers and is expected to continue to grow. For the past four years, Glassdoor (https://www.glassdoor.com/blog/the-best-jobs-in-america-2020/) has listed Data Scientist as the one of Best Jobs in America with a median base salary of $105,000 and a job satisfaction rating of 4.3 out of 5. Also included in the 2019 list of the 50 best jobs are job titles such as Analytics Manager, Data Engineer, Business Analyst and Data Analyst.

Many industries, government agencies, healthcare companies and non-profit organizations utilize data to inform their decision-making. Data scientists are problem solvers. They create algorithms, and computer programs to gather and clean data, then develop processes and models to analyze the data, and finally present the data to provide insights to solve problems. The skills necessary for data careers include computer programming, statistics, and data presentation skills. Data scientists also need to be creative, be able to communicate with colleagues and clients and collaborate with team members to develop innovative solutions.

Undergraduate Programs

What Can I Do With A Degree In Data Science?

Job Titles
Data scientist, Data Analyst, Quantitative Analyst, Business Analyst, Data Engineer

Industries
Retail, Banking, Healthcare, Public Health, Insurance, Sports, Energy, Technology, Government, Security

Curriculum Requirements

  • Requirements for a Minor Data Analytics

    19 credits

    Two Statistics Courses (6 credits)

    • MA 241 Statistics I
    • MA 242 Statistics II

    or

    • BA 350 Statistics I
    • MA 251 Linear Algebra 
    • BA 351 Statistics II

    or

    • PY 203 Statistics I
    • PY 204 Statistics II

    Three data science courses (7 credits)

    • DS 100 Intro Data Science Analytics
    • CS 190 Programming Language Lab: Python
    • DS 300 Methods of Data Science and Analytics 

    Choose two elective courses (6 credits)

    • CS 110 C++ Programming I
    • BA 355 Advanced Business Analytics
    • BA 106 Data Visualization
    • SO 248 Epidemiology
    • ES 220 Introduction to GIS
    • EC 360 Econometrics
    • DS 350 Data Mining
    • HSCI 230 Health Analytics

Student Learning Outcomes

  • Students will prepare and manage data for analysis.
  • Students will utilize computer programming, statistical analysis, and machine learning models to analyze data.
  • Students will communicate with clients to develop the appropriate research question and then communicate their analysis and conclusions effectively to both colleagues and clients.
  • Students will explain the key ethical questions related to data science applying professional ethical systems as well as Catholic and Benedictine values.
  • Students will work effectively in teams utilizing project-management skills to complete projects.

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