Data Science
Data science is a rapidly evolving and exciting field. Students who earn a degree in Data Science have a wide range of careers available to them. UHV’s Master of Science in Data Science is designed especially for students who are looking for careers in data analytics and applied artificial intelligence . Students in the program will have the opportunity to gain hands-on experience in a variety of applications for data science, artificial intelligence and cyber security. They also will look at tools and methods that are used by industry leaders such as Amazon, Google, Microsoft and Facebook. Students also will have the opportunity to pursue internships in the data science field.
| Degree Plan Options | Master of Science in Data Science |
|---|---|
| Credit Hours | 36 Credit Hours |
| Delivery Methods |
Online (traditional) Katy |
| Tuition & Fees | Rates Per Semester |
Jobs and Related Careers:
Data Analyst
- Data Engineer
- Database Administrator
- Machine Learning Engineer
- Data Scientist
- Data Architect
- Business Analyst
GRE Waiver Information
Automatic GRE waivers will be granted upon request to applicants who have already earned a graduate degree or have an undergraduate GPA of 3.0 or higher for the last 60 semester hours of course work.
For waiver requests that do not meet the above criteria, please submit a detailed resume identifying any IT industry working experience and a personal statement to demonstrate potential of being successful in the graduate program. For applicants who have taken any graduate course work, please provide the course titles and grades received. Each request will be reviewed by the program director on a case-by-case basis.
I love to teach, but I also love to learn—and teaching offers lots of opportunities for learning. Whether it's researching a topic related to cybersecurity and artificial intelligence or questions or exploring new ideas for how to teach those state of art technologies, I get to explore new ideas a lot. My ultimate objective is to make big difference in the lives of my students.
Hardik Gohel, Ph.D
Assistant Professor of Computer Science