Master of Science [M.S] Data Analytics
The curriculum combines a blend of business, information technology, marketing, mathematics and statistics coursework. Core competencies include data analytic algorithms, predictive modeling, data architecture management and analytical interpretation.The program focuses on traditional business intelligence oriented analytics and provides students specialized expertise in the areas of data science management and data analytic algorithms. Students learn to analyze data sets and develop communication and visualization techniques to shares these insights within organizations.Drawing upon experiential learning, students will become data savvy professionals and learn the latest tools, techniques and applications used to transform data into meaningful information. Further, they will apply their education by performing real-world data analytics through intensive practicum coursework with strategic business partners.
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 | 79 | 120 | 3 |
PTE | Pearson Test of English | 58 | 90 | 3 |