Data Science Master of Science Degree Program

Man in front of a screen studying data

GRE score requirements are waived for the M.S. Data Science Program

UTA’s Master of Science degree in Data Science helps meet the growing need for data science professionals in STEM, health-related and other fields, expanding students’ marketable skills and preparing them to enter a fast-growing job field.

The program is unique for its breadth, offering a widely encompassing set of courses that allows students without a computer science background to develop the necessary skills for data science jobs in business, engineering, healthcare and science settings. It aims to instill the acumen needed to draw insights from data, to make sound decisions using data, and to effectively communicate about data-driven findings and decisions.

Students will use real-world problems, methods and data in instruction materials through collaboration with community partners; problem-based, experiential learning which emphasizes hands-on coding exercises; service learning in which students learn while doing for social good; and inclusive learning to broaden student participation and strengthen student retention in data science education.

The degree requires 30 course hours and can be completed in two years. After completion of a set of core courses, students choose to pursue a specialty in either the engineering track (computer science or industrial engineering) or the science track (biology, geology, mathematics, or psychology). They will participate in a required capstone experience which can be integrated with workplace projects. Elective options offer additional flexibility to craft a degree that fits his or her specific situation.

Students will come from different backgrounds, but the most important factor for their growth and success will be a keen interest in learning the powerful ways in which data can be applied in various fields.

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M.S. IN DATA SCIENCE COURSE REQUIREMENTS (30 hours)

CIP code: 30.0801.00

CORE COURSES (12 hours)

  • DASC 5300/CSE 5300 Foundation of Computing
  • DASC 5301/CSE 5332 Data Science
  • DASC 5302/IE 5317 Introduction to Probability and Statistics
  • DASC 5303/IE 5315 Data Science Project Management

Note: A student is required to earn a ‘C’ or higher grade on DASC 5300/CSE 5300 to move forward in the program. A student who receives ‘D’ or lower may be allowed to repeat the course in order to fulfill the requirement. However, the repeated credit hours will not be counted toward the degree.

SPECIALIZATION COURSES (9 hours)

ENGINEERING TRACK, COMPUTER SCIENCE (choose 3)

  • CSE 5330 Database Systems
  • CSE 5334 Data Mining
  • CSE 5335 Web Data Management
  • CSE 5360 Artificial Intelligence I
  • CSE 5367 Pattern Recognition
  • CSE 5368 Neural Networks
  • CSE 6332 Cloud Computing and Big Data
  • CSE 6363 Machine Learning
  • CSE 6367 Computer Vision

ENGINEERING TRACK, INDUSTRIAL ENGINEERING (choose 3)

  • IE 5301* Introduction to Operations Research
  • IE 5303 Quality Systems
  • IE 5304* Advanced Engineering Economy
  • IE5322 Simulation and Optimization
  • IE 5323* Agent-Based Modeling

* – Mandatory for students in the Industrial Engineering specialization

SCIENCE TRACK, BIOLOGY

  • BIOL 5340 Bioinformatics
  • BIOL 5361 Advanced Biometry
  • BIOL 5362 Experimental Design

SCIENCE TRACK, GEOLOGY

  • GEOL 5320 Understanding GIS
  • GEOL 5322 Global Positioning System
  • GEOL 5323 Remote Sensing Fundamentals

SCIENCE TRACK, MATHEMATICS (choose 3)

  • MATH 5314 Experimental Design
  • MATH 5353 Applied Linear Models
  • MATH 5358 Regression Analysis
  • MATH 6310 Foundation of Data Sciences
  • MATH 6311 Optimization of Big Data

SCIENCE TRACK, PSYCHOLOGY

  • PSYC 5407 Experimental Design
  • PSYC 6349 Psychometric Theory
  • PSYC 6355 Multivariate Analysis

ELECTIVES (6 hours)

Any specialization courses outside a student's own specialization OR others approved by program faculty.

DASC 5309 DATA SCIENCE CAPSTONE PROJECT (3 hours)

(Or equivalent course approved by the program director)

COURSES FROM OUTSIDE MSDS

Course requirements may be met using coursework from outside the MSDS program, as follows:

The requirements for DASC 5300/CSE 5300 and DASC 5302/IE 5317 can be fulfilled by appropriate undergraduate computing-related and statistics-related courses, respectively.

For DASC 5301/CSE 5332 and DASC 5303/IE 5315, external courses must be at the graduate level and cover all essential topics of the corresponding core course.

The requirements for specialization courses can be fulfilled by an external course if (a) the external course is at the graduate level and covers all essential topics of the specialization course; and (b) given any other specialization course in the list, the student has either taken it or the course can be fulfilled by an external course, as in (a). See the chart above for the list of specialization courses in each track.

The student must still meet the 30-hour degree requirement. In lieu of each core or specialization course that is to be fulfilled by an external course, the student must take an extra elective in addition to the two required electives. See above for requirements regarding electives.

External courses must be vetted by and arrangements must be approved by an MSDS program advisor.

CURRICULUM SCHEDULE

Students should meet the requirements of DASC 5300, DASC 5301, DASC 5302, before or in the same semester when they are enrolled in any other course for fulfilling MSDS degree requirements.

Students should only be enrolled in DASC 5309 in their final semester.

The specialization and elective courses can be taken in any order, as long as prerequisites are satisfied.

It is recommended that DASC 5303 is taken prior to or concurrent with any specialization and elective course.

ADMISSION REQUIREMENTS

Admission to the MSDS program is based on the applicant's perceived ability to do graduate work in data science as shown by the applicant’s test scores, transcripts, and other application documents.

To begin the program, an applicant must submit a completed application and fee to the UTA Graduate Admissions Office. When all application materials have been collected by Graduate Admissions, the information is forwarded to the program directors for evaluation. The admission decision is then communicated to Graduate Admissions, with the final decision sent via email from Graduate Admissions to the applicant.

If there is a delay in receiving materials, the application may be deferred until all required materials are available. The applicant is notified of the deferral by the Graduate Admissions Office via email.

Present requirements for the MSDS program include:

  1. An undergraduate degree, preferably in natural and/or physical sciences, technology, engineering or mathematics (STEM) or related field, or in other fields if the applicant has professional work experience in STEM related fields.
  2. A 3.0 grade point average (on a 4.0 scale) on the last two years of undergraduate coursework. In particular, performance in STEM-related courses is emphasized.
  3. A sum of verbal plus quantitative scores of at least 300 on the GRE, with GRE quantitative score of at least 155 and GRE verbal score of at least 145.
  4. International applicants and applicants whose native language is not English will need to take the Test of English as a Foreign Language (TOEFL) and score at least 80 with no area score of less than 20, or take the International English Language Testing System (IELTS) exam and score at least 6.5 in all areas.

Notes:

  • Currently, the GRE requirement is waived for all applicants.
  • In general, an applicant who graduated with a Bachelor's degree from an accredited U.S. institution within the last five years with a GPA of 3.2 or better on a 4.0 scale, and/or who is currently conducting professional work in related fields should contact the MSDS graduate advisors about the possibility of a GRE waiver.
  • Applications with significant deficiencies in college-level mathematics may be deferred/denied as determined by the MSDS program advisors.
  • If an applicant has a degree from a U.S. institution, the English Proficiency requirement on TOEFL/IELTS is waived. However, it is waived for admission purposes only. If the applicant wishes to be considered for possible funding as a Graduate Teaching Assistant (GTA) or have any teaching responsibility, the applicant must have a U.S. bachelor’s degree or a TOEFL speaking score of at least 23, or an IELTS speaking score of at least 7. A master’s degree from a U.S. institution does not suffice for a waiver of the English proficiency requirement for international applicants desiring consideration for GTA support. An applicant who does not achieve the stated English proficiency standards may be required to take the Graduate English Skills Program (GESP) qualifying exam upon arrival at UTA to determine the need for additional English language courses after admission.
  • Only the following application documents are required: application, fee, transcripts from all higher education institutions attended, and GRE and TOEFL scores unless they are waived. The MSDS program neither requires nor reviews letters of recommendation, statements of purpose, or any other supplemental materials from applicants.

Requirements for Licensure or Certification

All discipline specific programs in the College of Engineering meet educational requirements for professional licensure or certification in all U.S. states, territories, and the District of Columbia.

Pursuing a Master's Degree in the College of Engineering

The responsibility rests with each student for knowing the rules, regulations, and filing deadlines of the Graduate School and their respective department. This page provides general information only. Requirements of the Graduate School and the academic department must be met.

 

Contact Us

Chengkai Li
Executive Program Director

Steve Gibbs
Program Coordinator

msds@uta.edu