FAQ

We've put together some commonly asked questions to give you more information about the online Master of Science in Data Science degree program.

ADMISSIONS & APPLICATION

Admissions

Will there be admission caps?
No, we will not be limiting the size of our classes at this time.

If I meet the admissions criteria, will I be automatically admitted to the program?
No applicant will be automatically admitted to the program. All applications will be reviewed by a faculty committee to make certain those admitted have the ability to succeed in the program.

What if my GPA is below a 3.0?
A strong Statement of Purpose, a detailed CV/Resume and Mathematics and Programming Preparation form, examples of existing interest in Data Science, letters of recommendation, and a high GRE score (Quant >= 80) can help compensate for a lower GPA. If your GPA is below a 3.0 we will have to write a petition explaining why you are a good fit for the program. The more information provided in these items, the better. 

How much is each course and are there fees?
Current tuition for the program is $10,000, which averages out to $1,000 per course. While we anticipate tuition staying the same, some fees may apply throughout the course of the program. Please visit the bottom section of our Admissions site for more information.

Application

We have created an application guide to give you the ability to proactively collect all necessary application items. We look forward to reviewing your application!

Is there a difference between priority and regular deadline?
Applying by the priority deadline will provide time for your application to be processed. Should any issues arise (for example, a transcript is declined) this gives you time to complete the application by the final deadline.

Will there be an application fee?
Yes. Application fees will be determined by your application type. Please visit this site to determine the type of application you need to submit.

What are the requirements for applying?
Admissions take into consideration the following items: undergraduate GPA, a relevant field of study, work experience, CV/Resume, a Statement of Purpose, a Mathematics and Programming Preparation Form, TOEFL score (if applicable). Competitive GRE scores and letters of recommendation are optional.

A typical candidate will have a regionally accredited bachelor’s degree in statistics, computer science, computer engineering, mathematics, electrical engineering or similar.

An atypical candidate will have a regionally accredited bachelor’s degree in an unrelated field but will have a passion for data science and be able to show their functional use of the topic through work experience. This information will need to be conveyed on an applicant’s CV/Resume, Statement or Purpose, and Mathematics and Programming Preparation form.

What constitutes a competitive candidate?
Our Master of Science in Data Science program will target enrollees who would like to build their technical competency and receive rigorous training in the field of data science. The ideal candidate will have some technical background, but have a driving interest in both computational methods and statistical inference, and who are excited to advance their career opportunities within industry, government, academia, and nonprofit organizations.​

What prerequisite courses are needed to apply for the program?
Applicants who do not hold a degree in statistics, computer science, computer engineering, mathematics, electrical engineering or similar, will need to have certain course work prior to enrolling in the program:

  • Math (calculus and linear algebra)
    • Multivariable Calculus (eg. MATH 408D) and
    • Linear Algebra (eg. MATH 341 equivalent)
  • Statistics (college level introduction to statistics)
    • Introduction to Statistics (eg. SDS 302, 304, 306 or equivalents) OR
    • SDS 328M equivalents
  • Some programming experience in at least one of:
    • R, Python, C++

Can I apply for both the MCSO and the MSDS program?
Yes, you may apply to both. Please note that you will have to complete both applications but will only have to pay the fee once as long as it is within the same application cycle (i.e. you are applying for the same semester). When filling out the second ApplyTexas application, you should select the option to pay the university directly. The application fee should automatically appear as paid once your application is uploaded to the MyStatus page. If admitted to both programs, the applicant will be asked to choose their preferred program prior to enrolling.​
 
With the current pandemic, is the GRE required?
As a temporary accommodation in response to COVID-19, the GRE requirement will be waived for all applicants for the fall 2022 semester. Students may continue to submit official GRE scores for consideration, but they will not be required to do so. GRE scores when provided, will continue to serve as just one of the many factors considered in our review of a student’s application. Please take into consideration that providing GRE scores can bolster your application if there are aspects of your application that you feel may be not as competitive as others. For example, if you do not have a relevant or related degree, have not been in school in over 10 years, or you are an international applicant, adding a GRE score will assist the Admissions Committee in their review. If you have any questions, please feel free to reach out to us and we can better assist you. *Please allow up to 72 hours after submitting your application for the GRE to be removed from the "To-Do" items on your MyStatus page.
 
Can GMAT replace the GRE?
Unfortunately, no, we cannot accept GMAT scores.
 
Will my GRE scores from a previous UT application carry over?

Quite possibly. Please check in with the Graduate and International Admissions Center at giatest@austin.utexas.edu to confirm.

Is the TOEFL required for International Students?
International applicants who are from a country where English is the only official language are exempt from this requirement. Additionally, applicants are exempt from the requirement if they possess a bachelor’s degree from a U.S. institution or an institution in a country where English is the only official language. The requirement is not waived for applicants who have earned a master’s—but not a bachelor’s—degree from a similar institution.

What are the minimum TOEFL/IELTS scores acceptable for admission by the Graduate School?

  • TOEFL: 79 on the Internet-based test (iBT)
  • IELTS: An overall band of 6.5 on the Academic Examination

It is the responsibility of the applicant to be prepared for the program prior to starting and to convey that preparedness in their CV/Resume and Statement of Purpose.

Will I need to provide a translated version of my transcript?
Yes, transcripts written in a language other than English must be accompanied by a translation. 
 
May I apply even though I hold an MS in Data Science?
Yes, however it is important to know that the Graduate School may require additional information as to why you want to apply to our program when you already hold that degree. They will want to know how the programs compare and how ours is different than what you already have. Providing this information in the personal statement will aid in the admissions and approval process.

Will I be able to transfer credits from another university to this program?
MSDS is not currently accepting transfer credit requests at this time; there will be an update on this decision after spring 2022.

Will there be financial Aid Assistance? Will GI benefits apply?
US-based students in Option III programs are eligible only for federal guaranteed loans and some private sector loans. The Office of Financial Aid can advise Option III students on availability of these loans and required procedures for applying. Please contact Financial Aid. Please note students taking 3 hours are not aid eligible. Please note that with Option III programs students are not eligible for grant loans.

Students in Option III programs are not eligible for Hinson-Hazelwood Act Exemptions (for Texas ex-servicemen and their children), but may be eligible for GI Bill benefits. Please direct questions to gibill@austin.utexas.edu and or UTVeterans@austin.utexas.edu

Does this program offer F1 or OPT status?
This program does not offer visa status.

Am I eligible to apply if I have OPT or F1 status?
International students who are inside the US and have an immigration status, may run into some difficulties with being eligible for our program. Texas Global (the international office at UT) is most concerned with those with an F1 and OPT status because their visa statuses have certain restrictions concerning online study. If you fall into this category, it is important to contact them right away and determine if you are eligible for our program.

 

CURRICULUM & COURSES

Curriculum

Is this program accredited?
Here is UT’s Statement of Accreditation:

The University of Texas at Austin is accredited by the Southern Association of Colleges and Schools Commission on Colleges to award baccalaureate, professional, masters, and doctorate degrees. Contact the Southern Association of Colleges and Schools Commission on Colleges at 1866 Southern Lane, Decatur, Georgia 30033-4097 or call 404-679-4500 for questions about the accreditation of The University of Texas at Austin.

What degree is earned at the end of the program and what will it say on the diploma?
Master of Science in Data Science.

What areas of expertise are covered?
This program consists of a balance of computer-science based and statistics-based data science courses. This program will provide working professionals with an opportunity to develop expertise that combines skills from statistics, data analysis, and machine learning in pursuit of actionable insights that drive decisions and strategy. 

Specifically, courses with a typical statistics background will cover topics such as: data ethics, probability, simulation, confidence intervals, hypothesis testing, linear models, longitudinal data, causal inference, and visualization. Courses with the typical computer science background will cover topics such as: classification, neural networks, deep learning, model optimization, and algorithm design.

How many credit hours will I need in order to graduate?
30 hours of credit, each course is three hours, 10 courses.

How long will the program take me to complete?
We envision that the 30-hour UT Austin MSDS program will be completed over the course of 18 to 36 months.

Do I have to maintain a certain GPA in order to stay in the program?
Students must earn a grade of B- or better on all data science coursework. To graduate, all students must have a graduate grade point average of at least 3.00. Additionally, candidates for the master’s degree must also have a grade point average of at least 3.00 in courses included on the Program of Work. 

Are people being hired from the outside to teach these courses?
No, UT faculty are teaching our program. Some of the faculty include:

Courses

How many courses will I be allowed to take at a time?
A student may take up to five courses each semester. The online master’s courses are of comparable rigor to the traditional courses. For working professionals, we highly recommend taking one to two courses per long semester.

Can you start taking classes in the fall or the spring?
Yes, you can start taking classes in either semester.

When will the semester start and end?
The program will follow the timeline of the traditional semester. The university calendar can be found here.

Will exams be proctored in the MSDS program?
UT Austin is deeply committed to ensuring that our programs adhere to the highest standards for academic integrity. Students should expect that exams may be proctored or otherwise monitored to comply with these goals.

STUDENT EXPERIENCE

Will I have an instructor or TA interaction?
Interaction between instructors and/or TA’s will be available through email, online discussion boards, and virtual office hours.

Are lectures live, will I need to show up at a certain time?
The lectures are pre-recorded and will be made available that week for you to view on your own time. Within a courses’ prescribed timeline, students can move at their own pace following a self-regulating learning process. They complete interactive assessments and receive instant feedback.

What kind of interactions will I have with students and teaching staff?
All interactions, assistance, and correspondence with faculty, TAs, or staff will be conducted through online channels (email, piazza, zoom, etc). Interaction between faculty and students will primarily take place through the edX content delivery platform. Open edX technology allows instructors to create engaging learning sequences, which promote active participation as students alternate between learning concepts, solving exercises to check their understanding, and completing graded assessments. Other platforms may be involved depending upon which course you take. Examples include Canvas, Piazza, slack, etc.

What kind of laptop is needed for this program?
Either a MacBook Pro or a Windows PC will suffice. We've provided some recommendations below that should provide a good experience across all courses.

OPERATING SYSTEM
MAC: OSX Mojave or newer; PC: Windows 10
PROCESSOR/RAM
x86 CPU, multi-core, 8GB RAM
RECOMMENDED WEB BROWSERS
Mozilla Firefox v20.0 or Higher, Google Chrome v25.0 or higher
PLUG-INS
Javascript Enabled & Third Party Cookies Enabled
CAMERA RESOLUTION
800 x 600 resolution or better
INTERNET CONNECTION
Cable Modem, DSL or better (300 kbps download, 250 kbps upload)

 

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