About Data Analytics Engineering, Ms in George Mason University
The MS in Data Analytics Engineering is a multidisciplinary degree program in the Volgenau School of Engineering, and is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical modeling, predictive analytics, optimization, risk analysis, and data visualization. It is aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business/government intelligence and other information intensive groups generating and consuming large amounts of data.
Total credits: 30
Degree or its equivalent from an accredited college or university.
English Language Requirements
TOEFL iBT Graduate- Testing code 5827
- School of Business Graduate: 93 points, 20 points in each section
- Volgenau School of Engineering Graduate: - 80 or higher, no section minimum
- Schar School of Policy and Government PhD Programs: 100 or higher, 23 points in each section
- All other graduate programs- 88 points, minimum 20 in each section
IELTS Graduate
- School of Business Graduate: 7 overall, with a minimum of 7.0 in each subsection
- All other graduate programs- 6.5 total band score
Pearson Academic Test of English
- A minimum score of 59, all applicants
George Mason University Cost of Attendance
The table below shows the cost of attendance at George Mason University for 2020-21:
| Fee Type |
Undergraduate (Amount in USD) |
Graduate (Amount in USD) |
| Tuition (Full-time) |
32,970 |
25,430 |
| Room and Meal plan |
12,090 (On-campus)
12,786 (Off-campus) |
20,400 (Off-campus) |
| Transportation |
1,260 (On-campus)
2,334 (Off-campus) |
2,334 (Off-campus) |
| Personal Expenses |
2,336 (On-campus)
4,238 (Off-campus) |
4,238 (Off-campus) |
| Additional Costs |
1,278 |
1,278 |
