• Degree: Master
  • Campus: Beirut
  • Faculty: Science
  • Department: Mathematics and Computer Science

Program Description

This unique Masters in Applied Statistics at Beirut Arab University provides an opening to a career as an applied statistician, without having previously studied statistics. The curriculum will offer coursework that brings academic rigor to topics required for quantitative professionals in business, engineering, health care, financial services, scientific and computer-related industries, as well as government and non-profit organizations. The program blends the fundamental ideas of quantitative analysis with a modern computational science approach. Graduates of the program will have mastered the principles of statistics and be ready to apply them in a broad range of areas. This balance will make graduates highly valuable to employers needing quantitative or data science skills. The program doesn’t require any statistical background to enroll, though up to six credits remedial courses may be required (STAT401 and STAT402). Every student or professional who has a Bachelor degree in Science, Engineering, Business, Pharmacy, Health Science with a minimum CGPA of 2.33 can apply. The Master of Science in Applied Statistics at Beirut Arab University is designed to prepare students for a career as an Applied Statistician in an industry or for a PhD. Students will acquire the required skill sets through didactic, laboratory and experimental training. This training is reinforced by practical training and research projects in applied statistics to provide students with advanced research and hands-on practical opportunities.

The Master of Science degree in Applied Statistics requires the completion of 30 credit hours divided as follows:

Thesis track:

  • Core courses: 18 credits
  • Elective Courses: 6 credits
  • Thesis : 6 credits

Non-Thesis track :

  • Core courses: 18 credits 
  • Elective Courses: 9 credits
  • Project: 3 credits

Study Plan:

Course Code Course Title Credits Hours Distribution Course Type
First Semester
STAT603 Probability and Statistics 3 (3crs.) MJC
STAT605 Statistical Computing 3 (3crs.) MJC
------- Choose One elective course from one of the four pathways 3 (3crs.) EC
Second Semester
STAT602 Sampling Methods 3 (3crs.) MJC
STAT604 Applied Regression Analysis 3 (3crs.) MJC
STAT606 Statistical Programming 3 (3crs.) MJC
STAT608 Experimental Design 3 (3crs.) MJC
Third Semester
------- Choose One elective course from one of the four pathways (same pathway chosen in the First Semester) 3 (3crs.) EC
------- Choose One elective course from one of the four pathways (same pathway chosen in the First Semester) 3 (3crs.) EC
Fourth Semester
STAT670 Project in Applied Statistics (For Non-Thesis Track) 3 (3crs.) MJC
STAT690 Thesis (For Thesis Track) 6 (6crs.) MJC

Pathway: Data Sc (PDSC)

Course Code Course Title Credits Hours Distribution Course Type
STAT618 Modern Applied Statistics: Learning 3 (3crs.) PDSC
STAT620 Modern Applied Statistics: Data Mining 3 (3crs.) PDSC
STAT622 Introduction to Statistical Modeling 3 (3crs.) PDSC
STAT624 Business Intelligence from Big Data 3 (3crs.) PDSC

Pathway: Finance (PF)

Course Code Course Title Credits Hours Distribution Course Type
STAT610 Financial Statistics 3 (3crs.) PF
STAT612 Time Series 3 (3crs.) PF
STAT614 Stochastic Processes and Financial Applications 3 (3crs.) PF
STAT616 Stochastic Models and Forecasting 3 (3crs.) PF

Pathway: General (PG)

Course Code Course Title Credits Hours Distribution Course Type
STAT607 Introduction to Forecasting 3 (3crs.) PG
STAT609 Advanced Regression And Predictive Modeling 3 (3crs.) PG
STAT611 Machine Learning 3 (3crs.) PG
STAT613 Seminar in Applied Statistics 3 (3crs.) PG

Pathway: Health (PH)

Course Code Course Title Credits Hours Distribution Course Type
STAT615 Medical Statistics 3 (3crs.) PH
STAT617 Bayesian Statistics 3 (3crs.) PH
STAT619 Statistical Consultancy in Health Care 3 (3crs.) PH
STAT621 Visualizing Health Care Statistics 3 (3crs.) PH