M.S. in Analytics
Dubai, United Arab Emirates
DURATION
2 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest startdate
TUITION FEES
USD 5,480 / per semester *
STUDY FORMAT
Blended
* $65,760, discounted 50% to $32,880
Key Summary
Introduction
Data analysts are forging new relationships in virtually every discipline: business, healthcare, geology, mathematics and statistics, biology, chemistry, computer science, information systems and technology, engineering, psychology, behavioral science, operations research, and more, in addition to potential interactions between these disciplines, using role-based interaction with information and analytics to enable highly- collaborative, data-driven organizations. The graduate of this program enters the workforce prepared for the complex, information-intensive world.
Program Concentrations
- Healthcare Informatics
- Pharmaceutical Sciences (additional admission requirements)
- Individualized
Admissions
Curriculum
This program requires a total of 36 semester hours: 15 semester hours from the core courses, 6 semester hours of experiential courses, and 15 semester hours of Concentration courses. The semester hour value of each course appears in parentheses.
- Anly 500 – Analytics I: Principle and Applications (3 Credits)
- Anly 502 – Analytical Methods I (3 Credits)
- Anly 506 – Exploratory Data Analysis (3 Credits)
- Anly 512 – Data Visualization (3 Credits)
- Anly 510 – Analytics Ii: Principle & Applications (3 Credits)
- Anly 545 – Analytical Methods II (3 Credits)
- Anly 560 – Funct Programming Methods For Anly (3 Credits)
- Grad 695 – Research Methodology and Writing (3 Credits)
Program Outcome
Graduates of the Master of Science in Analytics program will be able to:
- Identify and assess the opportunities, needs, and constraints for data usage;
- Make clear and insightful analyses changing direction quickly as required by these analyses;
- Measure, evaluate, and explain the level of quality of a dataset and develop a plan to improve the quality;
- Work effectively in a team to develop data analytic solutions;
- Recognize and analyze ethical issues related to intellectual property, data security integrity, and privacy; and
- Communicate clearly and persuasively to a variety of audiences.
Graduates become data scientists and analysts in finance, marketing, operations, and business intelligence working groups that generate and consume large amounts of data.