$48,728 /Yr
On-campus
full_time
Master of Science [M.S] Data Analytics Engineering
- The MS in Data Analytics Engineering is a Volgenau multidisciplinary degree program, administered by the Department of Statistics, 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.
Tution & Application Fees
| Year | Year 1 | Year 2 |
| Tuition Fees | $44220 | $44220 |
| Other Fees | $4508 | $4508 |
| Total Fees | $48728 | $48728 |
Examinations
| Exam Type | Exam Name | Score | Out of Score | Exam Level |
|---|---|---|---|---|
| IELTS | International English Language Testing System | 6.5 | 9 | 3 |
| TOEFL | Test of English as a Foreign Language | 88 | 120 | 3 |
| PTE | Pearson Test of English | 59 | 90 | 3 |
| GRE | Graduate Record Examination | 309 | 340 | 2 |
Academic Eligibility:
- Students must have completed a baccalaureate degree from a recognized institution.
- Students required a 3.0 Grade Point Average on a 4.0 scale in undergraduate work.
- Students are expected to have completed a degree in engineering, business, computer science, or information technology, with foundational competence in calculus, statistics, and computer programming.
Language Requirments: