M.S. IN DATA SCIENCE

UTA’s Master of Science degree in Data Science helps meet the growing need for application-oriented engineers who can use data science tools and techniques to solve complex problems in industries such as manufacturing, logistics, healthcare and energy.

The program is unique for its breadth, offering a widely encompassing set of courses that allows students with or without a programming background to develop the necessary data science skills. 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 may choose electives from multiple
programs to match their career interests. They may also participate in a 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.

M.S. IN DATA SCIENCE

ADMISSION REQUIREMENTS

Admission to the M.S. in Data Science (MSDS) program is based on the applicant's perceived ability to do graduate work in engineering and 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 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.

Requirements for the MSDS program include:

1. An undergraduate degree, preferably in natural and/or physical sciences, technology, engineering or mathematics (STEM), that includes one semester of calculus and experience in programming, or in a related field if the applicant has professional work experience in STEM.
2. A 3.0 grade point average (on a 4.0 scale) on the last two years of undergraduate coursework. In particular, performance on 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:

• 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.
• If an applicant has a bachelors or master's degree from an accredited  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/IELTS test scores. The MSDS program does not require nor reviews letters of recommendation, statements of purpose, or any other supplemental materials from applicants. 

COURSE REQUIREMENTS (30 HOURS)

Core Courses (12 hours)

DASC/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

♦	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.

Electives (15 hours)

• Students will work with their advisor to select electives from the most current list of approved electives. No more than 9 hours may be Computer Science and Engineering courses.

Capstone Project (3 hours)

Select one of the Following
DASC 5309	DATA SCIENCE CAPSTONE PROJECT ♦
DASC 5391	DATA SCIENCE APPLICATIONS

♦	This requirement can be fulfilled by equivalent course approved by the program director or advisor.

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. Elective courses can be fulfilled by an external course if the external course is at the graduate level and covers materials different from other courses in their program of study.
• The student must meet the 30-hour degree requirement. In lieu of each core course that is to be fulfilled by an external course, the student must take an extra elective.
• 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 or equivalent course after completing 15 credit hours in the MSDS program.

• Elective courses can be taken in any order, as long as prerequisites are satisfied.

• It is recommended that DASC 5303 is taken as early as possible in the students program of study.