UNT Data Science Course Catalog: A Deep Dive

Introduction

The University of North Texas (UNT) recently launched a gritty Data Science program focused on preparing students for success in the data-driven world. In this post, we will walk through the UNT Data Science course catalog and how its different courses influence a real-world data science degree.

1. MS in Data Science at UNT | University of North Texas

www.unt.edu

Core Data Science Courses

The beginning of any data science program is the core coursework meant to provide the theory and practice behind all aspects that are taught. Sample Courses You’ll see in UNT Data Science?

1. Statistics and Probability: This course includes basic statistics, probability distributions hypothesis testing’s and statistical inference
2. Data Structures and Algorithms: Students are trained to use different ways to store data, manipulate it efficiently along with some learning about algorithms.
3. Programming for Data Science: This course will help you learn a programming language such as Python or R used in data cleaning, manipulation and analysis.
4. Machine Learning: Students gain an understanding of machine learning fundamentals and study basic supervised/unsupervised algorithms.
5. Data Mining (DS-GA 1003): Overview of methods for mining patterns and knowledge from large data sets.
6. Database Systems: students learn about database design, administration and query languages.

Data Science Tracks

• UNT also provides specific tracks in the Data Science program to suit different interest levels of students. This are some track that will give you deep understanding in,
• Data Analytics – Deals with extracting the grasp of data to make informed business decisions.
• Data Engineering focuses on building and maintaining data infrastructure to enable more efficient processing of the Red (structured) as well as Blue/Green/Black(generating un-structure complex event-based river architecture for real-time, low-latency tracking features).
• Data Visualization…Methods to tell data stories that engage viewers
• For Artificial Intelligence — Going deep into advanced machine learning algorithms and AI applications.

Elective Courses

In addition to core and track-specific courses, UNT also provides different elective courses which will enable students tailoring their knowledge so they can explore new developments in data science:

1. Big Data Technologies : This category is about tech used in handling and processing a good amount of datasets.
2. Natural Language Processing | Guidelines for the processing and understanding of human language.
3. Data Ethics: Considers ethical use of data when collecting, analyzing and using.
4. Data Science Capstone Project: Allows students to demonstrate their learning on a real-world data science project.

Conclusion

The UNT Data Science Course Catalog is a comprehensive catalog that has been designed in a way to help you get successful career into the field. Focusing heavily on both theory and application, the program provides graduates with a comprehensive knowledge base to tackle complex data challenges while delivering new insights.