About Master Of Science In The Field Of Data Analytics in George Washington University
Administered jointly through the Department of Computer Science and the Department of Engineering Management and Systems Engineering, the master of science in data analytics aims to address the growing demand for professionals skilled in big data and data analytics in government, industry and research organizations.
Through courses led by top faculty members at the School of Engineering and Applied Science and the School of Business, this program is conducted in small cohorts and covers topics in computer science, business analytics and systems engineering while focusing on the foundations of analytics from a technical engineering perspective.
As part of their program requirements, students choose either the computer science or the engineering management and systems engineering track.
Students in the program should expect the following program outcomes:
- Apply data science and analytics techniques in the decision-making process of a wide range of organizations.
- Demonstrate the ability to store, clean and transform data.
- Demonstrate improvements in the decision-making process by using and applying analytics techniques to interpret results
- Design and implement computing infrastructure and algorithmic techniques for big data analytics.
- Explore the engineering foundations that propel the fields of data science and analytics.
- Gain hands-on experience with analytical tools for big data.
Academic qualification equivalents
- Applicants must have a bachelor’s degree
English language requirements
- IELTS : 6.0
- TOEFL IBT: 100
- PTE : 53
George Washington University Annual Cost to Attend
Fee |
Cost |
Tuition |
$58,550 |
Books and Supplies |
$1,400 |
Other Fees |
$90 |
Room and Board |
$14,711 |
Budget for Other Expenses |
$1,525 |
Total One Year Cost |
$76,276 |