Dual Degree in Social Data Analytics and Research / Data Science
Intrigued by the possibility to study abroad? Excited about the possibility to obtain two Masters degrees for the price of one? Learn more about the UTD-NCHU Dual Master’s Degree program in Social Data Analytics and Research & Data Science.
This program began in 2022, initiated by EPPS Dean Jennifer Holmes and supported by Senior Associate Dean Dr. Dohyeong Kim. It allows students to earn a Master’s in Social Data Analytics from UTD and Research and a Master’s in Data Science from NCHU. The program features:
- Studying 18 hours each in residence of NCHU and UTD
- Upon completion the candidate will earn two masters degrees, one in each institution
- Studying aboard in Taichung, Taiwan’s central city and cultural capital famous for national museums and nature areas.
- Exposure to both US and Taiwan data science and AI industries and vibrant job markets
The UTD-NCHU Dual Degree program allows students from US and Taiwan to learn latest methods and technologies in two countries both standing among the top in data science. Taiwan is well renowned for its semiconductor, artificial intelligence and high tech industries. Students in this program will be exposed to scientists, engineers and data science experts in both countries and be endowed the research and job opportunities in both markets.
Taiwan is one of the best developed democracies in Asia. It is well renowned for its beautiful mountains and coastlines and its diversity in cultures and international communities. Students will be able to learn Chinese in the international city of Taichung, which features the best national museums and highly accommodating environment.
Program structure
Students Starting at UT Dallas
Dallas
I. 5 Required Core Courses: 15 semester credit hours
- EPPS 6302 Methods of Data Collection and Production
- PPPE 6310 Research Design I
- EPPS 6313 Introduction to Quantitative Methods1 or EPPS 7313 Descriptive and Inferential Statistics2
- EPPS 6316 Applied Regression1 or EPPS 7316 Regression and Multivariate Analysis2
- EPPS 6356 Data Visualization or GISC 6363 Internet Mapping and Information Processing
II. One Analytical Course Elective: 3 semester credit hours
Taiwan
- Machine Learning
- Mathematic Analysis to Data Science
- Big Data Analysis
- Deep Learning
- Applied Spatial Analysis
- Master’s Thesis
Students Starting at National Chung Hsing University
Taiwan
- Machine Learning
- Mathematic Analysis to Data Science
- Big Data Analysis
- Deep Learning
- Applied Spatial Analysis
- Master’s Thesis
Dallas
I. 5 Required Core Courses: 15 semester credit hours
- EPPS 6302 Methods of Data Collection and Production
- PPPE 6310 Research Design I
- EPPS 6313 Introduction to Quantitative Methods1 or EPPS 7313 Descriptive and Inferential Statistics2
- EPPS 6316 Applied Regression1 or EPPS 7316 Regression and Multivariate Analysis2
- EPPS 6356 Data Visualization or GISC 6363 Internet Mapping and Information Processing
II. One Analytical Course Elective: 3 semester credit hours
The Team
UT Dallas
Dean Holmes and Dr. Kim have been instrumental in building this program from the start in 2022. The Dean visited NCHU in 2019 and signed an MOU embarking on a series of partnership projects starting from NCHU’s College of Law and Politics.
Others: See our full Public Policy and Political Economy faculty list.
National Chung Hsing University
The dual degree program is a collaboration with the College of Science and Big Data Center under the leadership of Dean Jerry Yin-Tzer Shih in NCHU. Dr. Shih is currently NCHU’s Vice President.
How to apply?
Requirements for admission
- Minimum GPA of 3.0 (dual degree candidates must maintain a 3.5 in the program to be considered to continue on to Taiwan)
- Proof of English Proficiency (TOEFL or other documentation)
- An undergraduate degree in political science, economics, or other relevant disciplines
- Follow University deadlines
Application process
- Complete the application on the UTD graduate admission website.
- Have official transcripts from all universities you have attended sent from those universities to the Office of Admissions
- Complete a short essay with an explanation of why you feel you would be successful in the program
- Request three recommendation letters from professors, employers or those people who would be knowledgeable about your abilities
Contact and questions
If you have any questions or concerns, please do not hesitate to contact us.
Karl Ho
Professor of Instruction
kyho@utdallas.edu
800 W Campbell Road
Richardson TX 75080-3021