- USA
- University of Texas at Austin
Data Science & Big Data
Specialization
1 year (full time)
Duration
$48,712 overall
Tuition Fee
fall, spring
Intake
Table of Contents
Eligibility RequirementsIntroductionProgram DescriptionProgram CurriculumAcceptance RateFee StructureDeadlines
Eligibility Requirements for University of Texas at Austin MS Data Science
Any degree
UG Requirement
Test Scores Requirement
| Exam | Requirement |
|---|---|
| 6.9 |
| 75 |
Program Eligibility URL:https://cdso.utexas.edu/apply
About University of Texas at Austin
The University of Texas at Austin's Data Science program within the College of Natural Sciences stands out for its interdisciplinary approach and cutting-edge curriculum. Students delve into a wide array of subjects, from programming languages like Python and R to advanced statistical modeling and machine learning techniques. With a focus on practical application, students gain hands-on experience through research projects, internships, and collaborations with industry partners, preparing them for the demands of the workforce.
Furthermore, UT Austin's data science program benefits from the university's extensive resources and renowned faculty members. Students have access to state-of-the-art facilities and computing clusters, as well as the guidance of experts who are leading researchers in the field. This combination of academic rigor and practical experience equips graduates with the skills and knowledge needed to excel in a variety of data-driven professions, making the University of Texas at Austin a top choice for those pursuing a career in data science.
University of Texas at Austin MS Data Science Program Description
The Data Science program at the University of Texas at Austin, housed within the College of Natural Sciences, offers students a comprehensive education in the rapidly expanding field of data science. The program integrates principles from computer science, statistics, mathematics, and domain-specific areas to prepare students for careers in industries such as technology, finance, healthcare, and beyond.
The curriculum covers a broad range of topics essential for understanding and analyzing complex datasets. Students learn programming languages such as Python and R, gaining proficiency in data manipulation, analysis, and visualization. They also study advanced statistical techniques, machine learning algorithms, and data mining methodologies.
Hands-on experience is a cornerstone of the program, with students engaging in research projects, internships, and collaborative endeavors with faculty members and industry partners. This practical approach allows students to apply their knowledge to real-world problems and develop the critical thinking and problem-solving skills necessary for success in the field.
The program emphasizes interdisciplinary collaboration, encouraging students to explore the intersection of data science with other disciplines. Ethical considerations in data science are also addressed, preparing students to navigate the ethical and societal implications of their work responsibly.
Overall, the Data Science program at the University of Texas at Austin provides students with a strong foundation in data science principles, practical skills, and ethical considerations, positioning them for success in a variety of data-driven careers and further academic pursuits.
Program URL:https://cdso.utexas.edu/msds
University of Texas at Austin MS Data Science Program Curriculum
Some popular electives in the field of data science at the University of Texas at Austin include:
- Probability and Simulation-Based Inference for Data Science (DSC 381)
- Foundations of Regression and Predictive Modeling (DSC 382)
- Deep Learning (DSC 394D)
- Principles of Machine Learning (DSC 391L)
- Data Exploration, Visualization, and Foundations of Unsupervised Learning (DSC 385)
Electives
Some popular electives in the field of data science at the University of Texas at Austin include:
- Probability and Simulation-Based Inference for Data Science (DSC 381)
- Foundations of Regression and Predictive Modeling (DSC 382)
- Deep Learning (DSC 394D)
- Principles of Machine Learning (DSC 391L)
- Data Exploration, Visualization, and Foundations of Unsupervised Learning (DSC 385)
Core Courses
The University of Texas at Austin's Core Curriculum consists of a 42-hour requirement that all undergraduate students must complete. Here are the core courses and their credit hours:
- First-Year Signature Course (Texas Core Code 090): 3 credits
- English Composition and Core Writing Flag (Texas Core Code 010): 6 credits
- Humanities (Texas Core Code 040): 3 credits
- US and Texas Government (Texas Core Code 070): 6 credits
- US History (Texas Core Code 060): 6 credits (with optional 3 credits in Texas history)
- Social & Behavioral Sciences (Texas Core Code 080): 3 credits
- Mathematics (Texas Core Code 020): 3 credits
- Natural Science & Technology, Part I (Texas Core Code 030): 6 credits
- Natural Science & Technology, Part II (Texas Core Code 093): 3 credits
- Visual and Performing Arts (Texas Core Code 050): 3 credits
Specialization
The University of Texas at Austin offers a comprehensive specialization in Data Science through various programs. Here are some details about the specialization options available:
- DSC 381: Probability and Simulation-Based Inference for Data Science
- DSC 382: Foundations of Regression and Predictive Modeling
- DSC 395T: Data Structures & Algorithms
- DSC 383: Advanced Predictive Models for Complex Data
- DSC 384: Design Principles and Causal Inference for Data-Based Decision Making
- DSC 385: Data Exploration, Visualization, and Foundations of Unsupervised Learning
- DSC 91L: Principles of Machine Learning
- DSC 395T: Natural Language Processing
- DSC 395T: Optimization
- DSC 395T: Deep Learning.
Clubs And Association
The University of Texas at Austin offers a vibrant campus life with numerous clubs and student organizations catering to a wide range of interests.
Here are some ways to explore and engage with clubs and associations at UT Austin:
- HornsLink Platform
- Student Involvement Services
- Student Governance Organizations
- Sorority and Fraternity Life
- Campus Events + Entertainment
- Recreational Sports
- Texas Student Media
University of Texas at Austin MS Data Science Acceptance Rate
The acceptance rate for the University of Texas at Austin is approximately 31%
University of Texas at Austin MS Data Science Fee Structure
The University of Texas at Austin boasts a diverse fee structure tailored to accommodate various factors such as residency status and academic college enrollment. For the academic year 2022-23, Texas residents benefit from a tuition rate of $78,232, while nonresidents are charged $90,742. Moreover, students enrolled in prestigious colleges like McCombs School of Business and co*ckrell School of Engineering are subject to a differential tuition ranging from $550 to $1,100 per semester, depending on residency status. Similarly, those in the College of Natural Sciences face differentials of $250 to $500 per semester. The total cost of attendance stands at $29,788 for in-state students and $59,032 for out-of-state students. However, financial aid programs, including scholarships and grants, offer crucial support in alleviating these expenses. Need-based scholarships assess students' financial circ*mstances, while merit-based scholarships reward academic or athletic excellence. Furthermore, the university offers the Longhorn Fixed Tuition program, enabling undergraduates to lock in tuition rates for four consecutive academic years. This comprehensive approach underscores UT Austin's commitment to accessibility and affordability in higher education.
University of Texas at Austin MS Data Science Deadlines
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University of Texas at Austin MS Data Science Employment
The University of Texas at Austin offers a myriad of employment opportunities within the dynamic field of Data Science. With a focus on both academic programs and practical roles, UT Austin provides avenues for individuals with expertise in data science and statistics to thrive. Job openings such as the Data Scientist and Statistician position within the School of Nursing exemplify specific roles available within the university itself, showcasing the institution's commitment to leveraging data-driven approaches across disciplines. Additionally, the introduction of an online Master's Degree in Data Science equips graduates with essential skills, ensuring their competitiveness in the job market. Despite a slightly lower average yearly pay for Data Scientists compared to the national average, UT Austin remains at the forefront of data science education and employment opportunities. Moreover, the university's introduction of a new undergraduate major in Statistics and Data Science underscores its dedication to meeting the increasing demand for skilled professionals in these fields, further solidifying its position as a hub for data science innovation and career preparation.
123,930
Average Starting Salary
University of Texas at Austin MS Data Science Employment Statistics
The University of Texas at Austin offers a comprehensive array of employment statistics and resources tailored to individuals interested in pursuing careers in Data Science. Through the McCombs School of Business, students have access to valuable recruiting statistics, including insights into class profiles, salary data, and national rankings across various programs and departments. Moreover, within the university's Department of Statistics and Data Sciences, both undergraduate and graduate students can explore open positions, providing them with opportunities to gain hands-on experience within an academic setting. Additionally, the department offers robust career resources, such as job opportunities, resume and cover letter critiques, workshops, mock interview sessions, and on-campus recruiting events, empowering students with the necessary tools and support to navigate the job market successfully. To further enhance job prospects, students are encouraged to utilize various job boards recommended by the department, which offer a diverse range of employment opportunities in the field of Data Science. Overall, these resources and statistics underscore UT Austin's commitment to equipping students with the skills and support needed to thrive in the dynamic field of Data Science.
Companies Recruiting University of Texas at Austin MS Data Science Graduates
Here are some of the top recruiters for graduates at the University of Texas at Austin in the field of Data Science:
- Microsoft Corp
- Lockheed Martin Corp
- Dell, Inc
Employment Overview URL: https://stat.utexas.edu/resources/career-resources
Letter of Recommendation for University of Texas at Austin MS Data Science
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University of Texas at Austin MS Data Science Scholarships available for International Students
The University of Texas at Austin offers various scholarships and funding opportunities to support international students pursuing studies in Data Science. Here are some key scholarships and resources available:
- Global Assist Scholarships
- English Language Center Scholarships
- UT Austin and Texas Exes Scholarships
- Tuition Assistance for Mexican Students (TAMS)
- International Education Fee Scholarship (IEFS)
- Dr. David Nilsson Scholarship
- Society of Iranian American Women for Education Scholarship
- Wilcox Community Engagement Scholarship
What makes University of Texas at Austin MS Data Science unique?
The University of Texas at Austin is unique in several ways:
Community Atmosphere and Spirit: The campus has a strong sense of community and spirit, fostering a supportive learning, teaching, and working environment.
Facilities and Beautiful Campus: The university offers fantastic facilities and a beautiful campus, providing students with a vibrant academic environment.
Top-Notch Professors: The university has a reputation for having top-notch professors who are accessible and engaged in research programs.
Diverse Programs: UT Austin offers a wide array of classes and programs, including top-ranked programs in various fields such as CS, engineering, business, film, architecture, computational engineering, physics, and mathematics.
Proximity to Home and Cheap Tuition: The university is located in Austin, Texas, which is close to home for many students, and offers affordable tuition rates.
Vibrant City: Austin is recognized for its creative and entrepreneurial spirit, providing students with numerous opportunities for personal and professional growth.
Strong School Spirit and Excitement: The university has a strong school spirit and excitement, with successful sports and accessible nightlife, making it a lively and engaging environment.
- Collaborative Nature: UT Austin has a collaborative nature, with many supportive programs for freshmen and a strong alumni network.
These factors contribute to the unique and vibrant atmosphere at the University of Texas at Austin, making it a top choice for students seeking a comprehensive and engaging educational experience.
Whom should I contact in case of any doubts?
If you have any doubts or questions about the University of Texas at Austin, you can contact the following resources:
- Admissions Centers: UT Austin Campus: welcomecenter@austin.utexas.edu, 512-475-7399
Dallas Admissions Center: dac@austin.utexas.edu, 512-232-6769
Houston Admissions Center: Contact information not provided in the search results. - Office of the Registrar: For tuition, fees, charges, and deposits-related inquiries, visit the Tuition, fees, charges, and deposits page on the University of Texas at Austin website.
- Office of Student Financial Services: For financial aid and scholarship-related inquiries, contact the Office of Student Financial Services at 512-471-3211 or visit their website.
- Office of Graduate Studies: For graduate-level coursework and related inquiries, contact the Office of Graduate Studies at 512-471-3300 or visit their website.
- Office of the President: For general inquiries and information about the university, contact the Office of the President at 512-471-1111 or visit their website.
Conclusion: Should you apply to University of Texas at Austin MS Data Science?
Considering the wealth of scholarships and funding opportunities available, the University of Texas at Austin presents an attractive option for international students interested in pursuing a Master's degree in Data Science. The Global Assist Scholarships, English Language Center Scholarships, and various other specific scholarships cater to diverse backgrounds and regions, providing financial support to students pursuing their academic goals. Additionally, UT Austin's reputation for academic excellence, coupled with its robust curriculum and resources in Data Science, makes it a compelling choice for those seeking quality education in this field. Therefore, if you are an international student interested in Data Science and seeking financial assistance, the University of Texas at Austin could be a promising destination to consider for your Master's studies.
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