Bachelor of Science in Statistics - Data Science

The bachelor of Science in Statistics and Data Science provides a comprehensive foundation in statistical principles, mathematical concepts, and computational skills needed to analyze large datasets, build data products, and extract meaningful insights. The curriculum typically includes core statistics, programming, data acquisition, and machine learning, preparing graduates for careers in various industries, such as finance, healthcare, and technology, or for further graduate studies. The Data Science track is designed to provide students with skills needed to work with the "big data" problems that arise in business and industry, government, and medical research. What You'll Learn; Processing large data sets and programming for data-intensive applications, Logistic regression and neural networks, Model diagnostics and forecasting, Methodologies for statistical learning including generalized logistic and ridge regression and hierarchical clustering, Classification and regression trees, Data management and mining, and Database design and management including data modeling, relational theory. Students learn to handle the entire data analysis pipeline, from collecting and exploring data to applying statistical and machine learning methods to create reports, dashboards, and other data products. The degree combines statistics, mathematics, computer science, and artificial intelligence to analyze and interpret complex data. Introduction to Bioinformatics, Time Series Analysis, Advanced Statistical Computing, Introduction to Machine Learning, Applied Analytics-Decision Trees, Database Management for Information Systems 

Career Path 

Graduate career path includes Data Scientist (Corporate, Tech, Finance, Healthcare, Government), Business Intelligence Analyst, Data Analyst (Business, Marketing, Operations), Quantitative Analyst (“Quant”) in Finance, Risk Analyst (Corporate/Financial), Healthcare Data Analyst (Medical Research, Public Health), Sports Data Analyst (Performance & Strategy), Operations Research Analyst, Environmental Data Analyst (Climate & Sustainability), Customer Insights Analyst (Marketing/Consumer Behavior),Supply Chain Data Analyst, Fraud Detection Specialist (Banking/Insurance), Data Engineer (Pipeline & Infrastructure),Survey Researcher / Sampling Specialist, Researcher in Statistics & Data Science, AI Research Assistant (Data & Modeling), Entrepreneur (Analytics Consulting, Data Startups).