BSc.
Computer Science Data Analytics Provides an overview of quantitative methods
essential for analyzing data, with an emphasis on business applications. Topics
include identification of appropriate metrics and measurement methods,
descriptive and inferential statistics, experimental design, parametric and
non-parametric tests, simulation, and linear and logistic regression,
categorical data analysis, and select unsupervised learning techniques.
Standard and open-source statistical packages are used to apply techniques to
real-world problems. The program is designed
to provide pathways for students who want to pursue careers centered around
building computer software solutions through programming and algorithmic
techniques. The students pursuing this program gain the necessary skills to
solve challenges in the 21st century globalized economy.
Career
Path
Graduate
careers include Data Analyst, Data Scientist, Business Intelligence Analyst, Big
Data Engineer, Machine Learning Engineer, Data Engineer, Quantitative Analyst
(Quant), Data Visualization Specialist, ETL Developer (Extract, Transform,
Load), Database Administrator, Predictive Modeler, Operations Analyst, Marketing
Data Analyst, Financial Data Analyst, Healthcare Data Analyst, Customer
Insights Analyst, AI/ML Data Annotator, Cloud Data Solutions Developer.
