Program Overview

Data Science (BS)

The Data Science BS is jointly offered by the Department of Mathematical Sciences in the School of Natural Sciences and Mathematics and the Department of Computer Science in the Erik Jonsson School of Engineering and Computer Science. Data Science is an emerging discipline that lies at the intersection of Computer Science, Mathematics, and Statistics. The curriculum for the program provides a solid foundation in all three disciplines. It prepares students for Data Scientist or related positions in industry, business, and government that are currently in high demand and also for graduate study in either of the three disciplines. The curriculum also includes a capstone project course.

Bachelor of Science in Data Science

Degree Requirements

The degree requires 120 semester credit hours.

Core Curriculum Requirements

• Communication: 6 semester credit hours
  • RHET 1302 Rhetoric
  • Select any 3 semester credit hours from Communication Core courses
• Mathematics: 3 semester credit hours
  • MATH 2417 Calculus I
• Life and Physical Sciences: 6 semester credit hours
  • PHYS 2325 Mechanics
  • PHYS 2326 Electromagnetism and Waves
• Language, Philosophy and Culture: 3 semester credit hours
  • Select any 3 semester credit hours from Language, Philosophy and Culture Core courses
• Creative Arts: 3 semester credit hours
  • Select any 3 semester credit hours from Creative Arts Core courses
• American History: 6 semester credit hours
  • Select any 6 semester credit hours from American History Core courses
• Government/Political Science: 6 semester credit hours
  • GOVT 2305 American National Government
  • GOVT 2306 State and Local Government
• Social and Behavioral Sciences: 3 semester credit hours
  • Select any 3 semester credit hours from Social and Behavioral Sciences Core courses
• Component Area Option: 6 semester credit hours
  • MATH 2417 Calculus I
  • MATH 2419 Calculus II
  • PHYS 2125 Physics Laboratory I

Major Requirements

• Major Preparatory Courses: 21-23 semester credit hours beyond Core Curriculum
  • CS 1136 Computer Science Laboratory
  • CS 1336 Programming Fundamentals
  • CS 1337 Computer Science I
  • CS 2336 Computer Science II
  • CS 2305 Discrete Mathematics for Computing I
  • MATH 2417 Calculus I
  • MATH 2418 Linear Algebra
  • MATH 2419 Calculus II
  • MATH 2451 Multivariable Calculus with Applications
  • PHYS 2325 Mechanics and PHYS 2125 Physics Laboratory I
  • PHYS 2326 Electromagnetism and Waves
• Major Core Courses: 43 semester credit hours
  • CS 3345 Data Structures and Introduction to Algorithmic Analysis
  • CS 4347 Database Systems
  • CS 4371 Introduction to Big Data Management and Analytics
  • CS 4372 Computational Methods for Data Scientists
  • CS 4375 Introduction to Machine Learning
  • MATH 3310 Theoretical Concepts of Calculus
  • MATH 4301 Mathematical Analysis I
  • STAT 3355 Data Analysis for Statisticians and Actuaries
  • STAT 4351 Probability
  • STAT 4352 Mathematical Statistics
  • STAT 4354 Numerical and Statistical Computing
  • STAT 4355 Applied Linear Models
  • STAT 4360 Introduction to Statistical Learning
  • STAT 4475 Capstone Project

Elective Requirements

• Guided Electives: 12-14 semester credit hours
  • Although both lower- and upper-division courses may count as guided electives, they must be approved by the advisor and the student must complete at least 51 semester credit hours of upper-division courses to qualify for graduation.

Faculty

NSM Faculty

• Professors:
  • Larry P. Ammann
  • Zalman I. Balanov
  • Pankaj K. Choudhary
  • Mieczyslaw K. Dabkowski
  • Vladimir Dragovic
  • Sam Efromovich
  • Yulia Gel
  • M. Ali Hooshyar
  • Wieslaw Krawcewicz
  • Susan E. Minkoff
  • L. Felipe Pereira
  • Dmitry Rachinskiy
  • Viswanath Ramakrishna
  • Janos Turi
  • John Zweck
• Associate Professors:
  • Swati Biswas
  • Yan Cao
  • Min Chen
• Assistant Professors:
  • Maxim Arnold
  • Carlos Arreche
  • Bhargab Chattopadhyay
  • Sy Han (Steven) Chiou
  • Qingwen Hu
  • Frank Konietschke
  • Yifei Lou
  • Oleg Makarenkov
  • Tomoki Ohsawa
  • Sunyoung Shin
  • Anh Tran
  • Nathan Williams
• Professors Emeritus:
  • Patrick Odell
  • John W. Van Ness
• Clinical Professors:
  • Natalia Humphreys
  • Wenyi (Roy) Lu
• Clinical Associate Professor:
  • Mohammad Akbar
• Associate Professor of Instruction:
  • My Linh Nguyen
• Senior Lecturers:
  • Mohammad Ahsan
  • Kelly Aman
  • Malgorzata Dabkowska
  • Rabin Dahal
  • Anatoly Eydelzon
  • Manjula Foley
  • Bentley T. Garrett
  • Yuly Koshevnik
  • David L. Lewis
  • Changsong Li
  • Brady McCary
  • Derege Mussa
  • Paul Stanford
  • Julie Sutton
  • Tristan Whalen
• UT Dallas Affiliated Faculty:
  • Hervé Abdi
  • Titu Andreescu
  • Alain Bensoussan
  • Stefano Leonardi
  • Faruck Morcos
  • Zhenyu Xuan
  • Hyuntae Yoo
  • Michael Qiwei Zhang

ECS Faculty

• Professor:
  • Latifur Khan
  • Yu-Chung (Vincent) Ng
• Associate Professors:
  • Vibhav Gogate
  • Yang Liu
• Assistant Professor:
  • Nicholas Ruozzi
• Senior Lecturers:
  • Anjum Chida
  • Chris I. Davis
  • Anarag Nagar