Equips students with in-demand skills to interpret data and make informed decisions, a critical asset in today’s data-driven world.
An Analytics minor may be the right minor for you if you have
- Strong numerical and organizational skills
- Desire to learn and apply practical knowledge to help businesses, nonprofits, and other organizations to learn and apply practical knowledge to help businesses, nonprofits, and other organizations
- Drive to find more effective ways to operate, stewarding God’s resources with integrity
What will I learn?
The analytics minor complements any major by enhancing problem-solving abilities and boosting career versatility across industries like business, healthcare, sports, and technology. With hands-on experience in analytics tools and systems, students gain practical knowledge that employers highly value. Ultimately, it gives graduates a competitive edge by turning raw data into actionable insights.
MAT 2055
Statistics
Descriptive and inferential statistics include methods for describing data, binomial and normal probability distributions, tests of hypotheses, simple linear regression, analysis of variance, nonparametric techniques, two-sample testing and contingency tables.
DAL 3255
Data Modeling
(PQ: BUS2035 or MAT2055) This course presents methods and systems for modeling varied data and discovering knowledge from data. After detailing a data modeling system architecture and tasks, the course examines and compares specific methods in data mining, such as data preparation, classification, clustering, and text mining. Several applications are detailed, and tools to build new applications are provided. The task of knowledge discovery is then outlined as a higher-level goal of data modeling. Familiarity with statistics, and database systems, in particular database design, is expected.
DAL 4045
Generative AI and Ethics
This course explores the rapidly evolving field of Artificial Intelligence (AI), its transformative impact on business applications, and its significant ethical and societal challenges. AI is revolutionizing industries by providing predictive insights, enhancing personalized customer experiences, optimizing management processes, and improving risk assessment strategies. Students will explore how AI intersects with social ethics, addressing fundamental questions about human life, values, and purpose.
DAL 4275
Business and Economic Forecasting
This course is designed to expose participants to the development and utilization of forecasts. Emphasis on statistical methods (time series, regression, Monte Carlo simulation etc.) and software applied to quantitative forecasting. Specific applications include forecasting sales, market prices, inventory, and macroeconomic factors. A $200 course fee required.
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