
Overview
Data science and analytics is a booming field with various applications across industries, from information technology to business analytics to artificial intelligence. Be prepared for the fastest growing, highest demanded job prospect in recent history before you have work experience.
Key facts
Data Science in collaboration with The University of Texas at Austin - UTAustinX for data science offers foundational knowledge in statistical theory while preparing students to apply their skills in the computer science realm for wide industry applications. With a curriculum that includes courses such as simulation, data visualization, machine learning, and optimization, students can expect a rigorous curriculum that combines ideas and methods from both a statistical and computer science perspective.
Our data science program is designed to prepare you for the fastest growing, highest demanded job prospect in recent history before you have work experience. Step into the world of data-driven models and multi-dimensional datasets. Use computer programming and applied data science to find answers in the areas of bioinformatics, linguistics, industry, academia, government, healthcare, and nonprofits to name just a few.
Educating students, providing care for patients, conducting groundbreaking research, and serving the needs of Texans and the nation for more than 130 years, The University of Texas System is one of the largest public university systems in the United States, with nine academic universities and six health science centers. Student enrollment exceeded 215,000 in the 2013 academic year.
The U. T. System confers more than one-third of the state’s undergraduate degrees and educates nearly three-fourths of the state’s health care professionals annually. The U. T. System has an annual operating budget of $13.9 billion (FY 2013) including $2.5 billion in sponsored programs funded by federal, state, local and private sources. With 89,000 employees, the U. T. System is one of the largest employers in the state.
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Probability and Simulation Based Inference for Data Science
- Regression and Predictive Modeling
- Data Structures & Algorithms
- Advanced Predictive Models for Complex Data
- Design Principles and Causal Inference for Data-Based Decision Making
- Principles of Machine Learning
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Check IELTS test dates and locations. Book an IELTS test now!
Credits
Delivered
Campus Location
- Portland, United States
Disciplines
Data Science & Big Data View 195 other Masters in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Check IELTS test dates and locations. Book an IELTS test now!
Other requirements
General requirements
Admissions take into consideration the following application materials:
- Bachelor’s degree (see prerequisites)
- CV/Resume
- Statement of Purpose
- Transcripts from all universities attended
- Preparedness in Mathematics & Programming Preparation Form
- Quest Assessment
- TOEFL or IELTS - Required for International Students
- GRE scores - Currently Optional
- Letter(s) of recommendation (optional)
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
6666 USD/yearTuition FeeBased on the tuition of 10000 USD for the full programme during 18 months. -
National
6666 USD/yearTuition FeeBased on the tuition of 10000 USD for the full programme during 18 months.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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