Resources
The Data Science major at the University of ÌÇÐÄ´«Ã½, housed in the Department of Mathematics, offers an interdisciplinary program that seamlessly integrates essential data science principles with mathematics, statistics and computer science. This dynamic curriculum equips students with a robust skill set encompassing vital areas, including data management systems, data cleaning and visualization, machine learning, deep learning, natural language processing, mathematical modeling, predictive analytics and proficiency in programming languages such as Python and R. Through this holistic approach, students acquire a well-rounded foundation to excel in the dynamic field of data science, enabling them to play a pivotal role in assisting businesses in making informed decisions.
Topics of Study
- Data Extraction, Cleaning, and Visualization
- Artificial Neural Network and Machine Learning
- Natural Language Processing
- Recommender System
- Programming in Python and R
- Data Management System
- Data Structures and Algorithmic Analysis
- Applied Regression Analysis
- Mathematical Modeling
- Predictive Modeling
Career Preparation
The U.S. Bureau of Labor Statistics (2023) predicts a remarkable 36% growth in the field of data science by 2031, opening over 50,000 new job opportunities. Graduates of our program are well-prepared to embark on diverse career paths, including roles as data scientists, data analysts, data engineers, statisticians, machine learning engineers and more. Located in the vibrant heart of downtown ÌÇÐÄ´«Ã½, our data science majors enjoy close access to a wide range of internship and job opportunities, spanning industries such as technology, finance, healthcare, government agencies and beyond.
Expert Faculty
UÌÇÐÄ´«Ã½â€™s data science program is led byÌýBinod Rimal, Ph.D., assistant professor of data science. For questions about this program, Rimal can be reached atÌýbrimal@ut.edu.
