Provide professional preparations, involving the use of data analysis to identify appropriate strategies in various real-life problems and statistical methodology to develop data-driven solutions to management challenges, to pursue a career in the domain
1. Obtaining a bachelor’s degree in the required specializations (statistics - business administration - mathematics - biology - physics - chemistry - computer science - engineering) from a Saudi university or a recognized university.
2. Obtaining at least a grade of "C" in the bachelor degree.
3. Obtaining a score of no less than 4 in the IELTS test or its equivalent in other international tests.
4. If the number of applicants exceeds the expected number, the following mechanism will be applied in admission to fill the available seats:
a) 60% of the GPA for the bachelor’s degree.
b) 40% of the IELTS score or its equivalent from other international tests mentioned in the table above.
1. Passing 28 hours in 9 compulsory courses with a grade of at least "C+" in each course.
2. Passing 15 hours in 5 elective courses with a grade of at least "C+" in each course.
3. The cumulative GPA should not be less than 3.75 upon completing each level.
4. Completing a scientific research project for graduation according to the department’s model and discussing it in front of a discussion committee determined by the department’s Graduate Studies Committee.
Mission:
Provide professional preparations, involving the use of data analysis to identify appropriate strategies in various real-life problems and statistical methodology to develop data-driven solutions to management challenges, to pursue a career in the domain.
Objectives:
1- Promote applied scientific research particularly that are related to requirements of the kingdom in Applied Statistics and Data Analysis.
2- Produce world-class graduates with a broad-based and global outlook able to work both within the kingdom and beyond.
3- Provide students with the theoretical knowledge and practical methods and skills needed to begin or enhance careers as data analysts in the industry.
3- Train graduates with an adequate understanding of the markets, creating, evaluating, and using appropriate methods, algorithms, and software to be able to:
- Apply computing theory, languages, and algorithms, as well as statistical models to appropriately formulate and interpret data.
- Understand at an advanced level, statistical concepts, and techniques to apply them to cross-sectional, time-series, longitudinal and event-oriented data sets.
- Formulate and use appropriate models of data analysis to solve hidden solutions to business related challenges.
- Develop an advanced knowledge of statistical inference and stochastic processes, statistical modeling, and data analysis to solve problems in engineering, computing and communications sciences, medicine natural and environmental sciences, health and social sciences, economics, and finance.
- Analyze and interpret data, synthesize information to provide valid conclusions.
- Visualize, curate, and prepare data for use with a variety of statistical methods and models and recognize how the quality of the data and the means of data collection may affect conclusions.
- Develop a professional skill in consulting aspects in different subfields of statistics and data science such as Biometrics, Statistics and Data Science for Social, Behavioral and Educational Sciences, Statistics and Data Science for Business, Statistics and Data Science for Industry, Official Statistics.
5- Raise the efficiency of those enrolled in analysis positions in the public and private sectors by developing their skills in using statistical methods, algorithms, and software within the business and management sectors.
Program Specification for the Master of Science in Applied Statistics and Data Science