Bachelor of Science degree in Mathematics (Statistics)
Program Overview
The Bachelor of Science in Mathematics (Statistics) at Imam Abdulrahman Bin Faisal University provides students with a solid grounding in statistical theory, analytical skills, and the ability to apply statistical methods in diverse fields. Graduates are equipped to excel in careers such as financial analysis, data science, and research, using their statistical expertise to solve complex problems and derive meaningful insights.
Program Outline
Degree Overview:
The Bachelor of Science degree in Mathematics (Statistics) is an undergraduate program offered by the College of Science at Imam Abdulrahman Bin Faisal University. The program is designed to provide students with a comprehensive understanding of statistical theory and its applications in various fields.
Objectives:
The program aims to equip students with the following skills and knowledge:
- Mathematical Concepts: Students will develop a strong foundation in mathematical concepts, including calculus, linear algebra, and probability.
- Statistical Analysis: Students will learn advanced statistical techniques for data analysis, interpretation, and modeling.
- Analytical and Engineering Skills: The program emphasizes the development of analytical and engineering skills, enabling students to apply statistical methods to real-world problems.
- Statistical Applications: Students will gain practical experience in applying statistical methods to various fields, including business, finance, healthcare, and research.
Description:
The program is designed to provide students with a comprehensive understanding of statistical theory and its applications in various fields. The curriculum covers a wide range of topics, including:
- Probability and Statistics: Students will learn the fundamental principles of probability and statistics, including probability distributions, statistical inference, and hypothesis testing.
- Data Analysis: Students will develop skills in data analysis, including data collection, cleaning, and visualization.
- Statistical Modeling: Students will learn to build and interpret statistical models, including regression analysis, time series analysis, and multivariate analysis.
- Statistical Software: Students will gain proficiency in using statistical software packages, such as SPSS, R, and SAS.
Careers:
Upon completion of the program, graduates will be well-prepared for careers in various fields, including:
- Financial and Economic Analysts: Graduates can work as financial and economic analysts in banks, insurance companies, and financial institutions.
- Statistics, Documentation, Planning, and Study Centers: Graduates can find employment in statistics, documentation, planning, and study centers.
- Research: Graduates can pursue careers in research, applying their statistical skills to various research projects.
- Data Science: Graduates can work as data scientists, using their statistical knowledge to analyze large datasets and extract valuable insights.
Other:
- The program is open to female students.
- Students are required to complete an internship as part of the program.
- The program is offered at the Rayyan campus in Dammam.
- The program is a five-year program, including a preparatory year.
- Students must complete a graduation project at the end of the program.
Entry Requirements:
- The student holds a high school diploma or its equivalent from inside or outside the Kingdom.
- Not more than five years should have passed on the student diploma or it’s equivalent.
- To be a good conduct and behavior.
- Successfully pass any test or personal interview the University Council may request.
- Be medically fit.
- In case of work and employment, the student is requested to get her approval to study from her reference point in any governmental or private sector.
- To be a trade-off between the applicants who meet all the requirements according to their grades in high school test certificate, 'Qdraat' (aptitude) test and 'Tahseely' (academic achievement) test.
- Ought to pass Preparatory Year -scientific track.