موقع حكومي رسمي تابع لحكومة المملكة العربية السعودية

ProgramDetails

Bachelor of Sciences in Applied Statistics

The program aims to prepare a female staff specialized in the field of Applied Statistics

About The Academic Program

Nature and Goals of the Program

The specialization aims to contribute to meeting the needs of the labor market in the field of applied statistics by providing an educational program that aligns with quality standards and modern technology. It contributes to research services and aims to prepare specialized graduates in applied statistics who contribute to development programs in both public and private sectors, in line with the Vision 2030. The program meets the labor market needs in statistically oriented jobs, qualifying scientifically and professionally skilled citizens, and equipping graduates capable of extracting information through designing and analyzing algorithms and data mining.

Career opportunities

The specialization qualifies students in various fields including Data Specialist, Operations Research Analyst, Statistician, Applied Statistician, Population Statistician, Educational Statistician, Medical Statistician, Sports Statistician, Agricultural Statistician, Statistical Consultant, Statistical Expert, and Specialist Analyst.

Program Information

College of Science
Department of Mathematical Sciences
Major Sciences in Applied Statistics
Academic degree Bachelor of Sciences in Applied Statistics
Language of instruction English
Duration 4 Years

Program Details

  1. Qualifying specialized graduates in applied statistics who contribute to development programs in both public and private sectors aligned with Vision 2030.
  2. Meeting market demand by preparing statistically qualified female citizens for jobs requiring statistical expertise, both academically and professionally.
  3. Conducting applied and theoretical research in applied statistics and data analysis.
  4. Equipping graduates with skills in algorithm design, data mining, and analysis to extract information effectively.
  1. Knowledge
  2. The student is expected to acquire Mathematical and Statistical Knowledge
  3. 2.K — The student is expected to identify the main aspects of mathematics and statistics, including foundations, principles, theories, and models
  4. Skills
  5. S1 — The student is expected to implement definitions and theorems to solve mathematical problems.
  6. S2 — The student is expected to logically and statistically justify the steps of the solution.
  7. The student is expected to apply advanced mathematical tools and computer programs for statistical problem-solving.
  8. ٍS.4 — The student is expected to choose and apply appropriate strategies for solving statistical problems and compare them.
  9. S.5 — The student is expected to analyze the results and the statistical procedures used and discuss them.
  10. Values
  11. V.1 — The student is expected to effectively manage tasks and collaborate in teams to achieve goals and serve the community.
  12. V.2 — The student is expected to work with professional responsibility through ethical commitment, effective time management, and self-learning.
  13. V.3 — The student is expected to gather information, interpret it, and analyze it both orally and in writing.
  1. Knowledge and proper understanding of applied statistics and related sciences
  2. Capability to conduct applied and theoretical research in applied statistics, analyze data, monitor indicator results, and formulate policies and strategies for performance improvement.
  3. Capability to gather information, interpret it critically, analyze it, and present it in various environments.
  4. Proper understanding of legal, ethical, and security requirements regarding data collection and usage.
  5. Commitment to continuous self-learning and professional development to enhance job opportunities.
  6. Capability to work as a trainer in specialized studies related to statistical programs and data analysis and processing.
  7. Leveraging specialization areas in freelance work and working within teams to serve the community.
Levels Course Code Course Title Credit Pre-Requisite
Level One CS 242 Computer Programming 4 —
Level One ENG 101-1 English language (1) 3 —
Level One MATH 101 Calculus(1) 3 —
Level One MATH 161 General Statistics 3 —
Level Two Math 102 Calculus(2) 6 MATH101OR MATH101T
Level Two PHYS 101 General Physics (1) 3 —
Level Two STAT 141 Statistical Methods 3 ( MATH161AND CS242
Level Two ENG 102-2 English language (2) 3 ENG101-1OR ( ENG101AND ENG102 )
Level Two MATH 242 Principles of Linear Algebra 4 MATH101OR MATH101T
Level Three MATH 107 Multivariable Calculus 4 Math102
Level Three MATH 222 Introduction to Differential Equations 6 MATH102TOR Math102
Level Three STAT 211 Statistical Packages 3 ( MATH161OR ACP101 )AND CS242
Level Three STAT 231 Sampling Theory of Survey 3 STAT141
Level Four STAT 212 Scientific Computation with Python 3 STAT211
Level Four STAT 221 Probability Theory with Applications 4 ( MATH161AND MATH107
Level Four STAT 222 Statistical Inference 3 STAT141
Level Four STAT 242 Regression Analysis 3 STAT141AND MATH242
Level Four STAT 251 Nonparametric Statistics 3 STAT141
Level Five STAT 343 Bayesian Statistics 3 STAT222
Level Five STAT 344 Statistical Quality Control 3 STAT221
Level Five STAT 352 Introduction to Stochastic Processes 3 STAT221AND MATH242
Level Five BIO 101 General Biology 3 —
Level Five STAT 332 Population Study "Demography" 3 STAT222AND STAT231
Level Six CHEM 101 General Chemistry (1) 3 —
Level Six STAT 313 Statistical Data Mining 3 STAT242
Level Six STAT 323 Decision Theory 3 STAT222
Level Six STAT 345 Applied Time Series Analysis 3 STAT242
Level Six STAT 353 Multivariate Statistical Method 3 STAT242
Level Seven STAT 414 Big Data Statistical Analysis Methods 3 CS242AND STAT212
Level Seven STAT 455 Applied Survival Analysis 3 STAT242AND STAT343
Level Seven STAT 456 Actuarial Statistics 3 STAT352
Level Seven STAT 462 Statistical Methods in Data Science 3 STAT212
Level Eight STAT 493 Graduation Project 3 STAT455AND STAT414AND STAT462AND STAT456
Level Eight STAT 494 Co-op Training 6 STAT455AND STAT414AND STAT462AND STAT456

University Compulsory Requirements

Course Code Course Title Credit
GNR 070 Ethics and Islamic Values 2
GNR 071 Islamic Banking and Economics 2
GNR 072 Community Building in Islam 2
ENG 101 English Language (1) 3
ENG 102 English Language (2) 3

University Elective Requirements

Course Code Course Title Credit
GNR 020 Communication Skills 2
GNR 021 Creative Writing 2
GNR 022 Writing Academic Reports 2
GNR 023 Emotional Intelligence Course 2
GNR 030 Basics of Entrepreneurship 2
GNR 031 Principles of Projects Management 2
GNR 032 Giftedness and Mental Superiority 2
GNR 033 Principles of E-Commerce 2
GNR 034 Financial Literacy 2
GNR 035 Leadership and Change Management 2
GNR 050 Health Awareness 2
GNR 051 Poetry and Prose in Arabic Literature 2
GNR 052 Well-Being and Quality of Life 2
GNR 053 Fitness and Sport Science 2
GNR 060 Sustainable Development 2
GNR 061 Global Citizenship 2
GNR 062 Lifelong Learning Skills 2
GNR 063 Sustainable Ecosystems 2
GNR 064 Global Citizenship 2
GNR 010 History of Kingdom of Saudi Arabia and its Pioneering Role 2
GNR 011 Community Building in Islam 2
GNR 012 Good Citizenship Values 2
GNR 013 Saudi Arts and Heritage 2
GNR 015 Studies in Saudi Literature 2
GNR 040 Computer Skills and Information Technology 2
GNR 041 Basics of Programming 2
GNR 042 Data Analysis and Management 2
GNR 046 Artificial Intelligence For Healthcare Disciplines 2
GNR 047 Artificial Intelligence For Scientific Discipines 2
GNR 048 Artificial Intelligence For Humanities Disciplines 2

College Elective Requirements

Course Code Course Title Credit
Cult 2201 Health Education 2
ENGL 204 Reading and Translation of Scientific Texts 2
ISLS 205 Scientific Miracles in Qur'an and Sunnah 2
MPH 242 Health Education 2
NUR 201 Sociology of Health & Illness 2
NUR 206 Health Education 2
NUR 251 Introduction to Professional Nursing 2
Cult 2101 Health Education 2

Elective Specialization Requirements

Course Code Course Title Credit
STAT 371 Operations Research 3
STAT 346 Statistical Applications 3
STAT 347 Statistical Methods in Engineering and Physical Sciences 3
STAT 354 Stochastic Financial Modelling 3
STAT 361 Analysis and Design of Experiments 3
STAT 433 Environmental Statistics 3
STAT 448 Reliability Theory 3
STAT 457 Generalized Linear Models 3
STAT 458 Econometric Methods and Modelling 3
STAT 492 Special Topics 3