On-campus
full_time
Doctor of Philosophy [Ph.D] Quantitative Methods
- Quantitative Methods involves topics in both applied optimization and applied statistics.
- Applied optimization explores resource allocation issues that frequently arise in managerial decision making.
- Current areas of faculty interest in applied optimization include transportation, communication, distribution, and manufacturing systems. Other application domains include auditing, scheduling, and quality control.
- Statistics and its applications address managerial problems in which randomness or uncertainty complicates the decision environment.
- Courses from departments such as economics, statistics, and industrial engineering as well as other areas of management offer the student a rich variety of topics for applied statistics research.
- Probabilistic and stochastic modeling and applications concentrate on quantifying the effects of uncertainty in managerial decision making and analyzing many complex business processes.
Examinations
| Exam Type | Exam Name | Score | Out of Score | Exam Level |
|---|
- TOEFL:- Minimum score of 600 (Paper based-test), a minimum score of 260 (computer based-test), and Total bandwidth 93 (Internet-based).
- IELTS:- An overall band score of 7.5 is required.