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Degree: Master
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Campus: Beirut
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Faculty: Science
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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
Seek employment in different fields, both in the governmental and private sectors as:
- economists
- financial planners
- insurance researchers
- quality control managers
- market researchers
- project managers
- public health researchers
- statistical consultants
- educators
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 |