موقع حكومي رسمي تابع لحكومة المملكة العربية السعودية

ProgramDetails

Bachelor of Science in Data Science and Analytics

Preparing distinguished scientific and technical female competencies in data science and analytics by providing an integrated interactive environment for education and innovative scientific research that fosters analytical and creative skills in compliance with local and international quality standards, thus contributing to the community.

About The Academic Program

Nature and Goals of the Program

The Data Science and Analytics program is a modern specialization that emphasizes the application of data analysis techniques to derive insights from massive datasets. This program encompasses a diverse range of academic components designed to equip students with essential knowledge, skills and values, including Machine Learning, Data Governance, Data Protection, and Business Intelligence, Big Data. By integrating theoretical foundations with practical applications, the program enhances students' analytical and programming competencies, thereby preparing them to effectively address challenges across various sectors.

Career opportunities

Professional Occupations/Jobs: The program is designed to empower women with the qualifications necessary to excel in various roles related to data science and analysis within both the public and private sectors. These roles include, but are not limited to: 1. Data Analyst 2. Data Engineer 3. Data Scientist 4. Business Intelligence Analyst 5. Data Science Researcher 6. Data Science Trainer 7. Educational and Academic Positions in General and Higher Education Institutions

Program Information

College of Computer and Information Sciences
Department of Information Systems
Major Data Science and Analytics
Academic degree Bachelor of Science in Data Science and Analytics
Language of instruction English
Duration 4 Years

Program Details

  1. Preparing female workforces specialized in data science and analytics capable of meeting labor market needs
  2. Developing future skills and enhancing competitiveness and innovation in the field of data science and analytics
  3. Facilitating an interactive educational environment that promotes quality of life.
  4. Achieving academic accreditation and quality standards on a local and international level.
  5. Promoting academic activities and supporting basic and applied research collaborations in the field of data science and analytics to contribute to the community
  1. K1 — Explain the main theories, concepts, processes, techniques and tools of data science and analytics and its related fields for professional practices.
  2. K2 — Identify appropriate research methods and investigation techniques related to current and emerging topics within the data science and analytics discipline.
  3. S1 — Apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.
  4. S2 — Analyze complex data science problems, leveraging principles of computing and other relevant disciplines and employ research methodologies to identify solutions.
  5. S3 — Design, implement, and evaluate data-driven solutions using cutting-edge technologies to meet specified requirements in the context of data science and its associated disciplines.
  6. S4 — Demonstrate effective communication skills in various professional contexts relevant to data science, including presenting technical information and effectively conveying insights derived from data analysis.
  7. V1 — Recognize professional and societal responsibilities in data science and make informed judgments in computing practice based on domain-specific, legal and ethical principles.
  8. V2 — Function effectively as a self-reliant and cooperative member or leader within a team engaged in data science activities.
  1. Analytical and Creative Problem-Solving: Demonstrate strong analytical thinking skills and creative problem-solving abilities to analyze complex data science problems and identify innovative solutions
  2. Community Service and Impact: Apply data science and analytics skills to contribute to the betterment of the community through impactful projects and initiatives that address societal challenges
  3. Business Leadership: Possess the knowledge and skills to lead data-driven initiatives in businesses and organizations, effectively leveraging data science and analytics to drive success and achieve strategic goals
  4. Value Creation: Understand the value and potential of data science and analytics in various domains and industries, and effectively utilize these skills to create value for stakeholders and optimize business outcomes
  5. Continuous Learning and Awareness: Stay informed about the latest trends, techniques, and advancements in data science and analytics, continuously expanding knowledge and adapting to the evolving landscape of the field
  6. Self-Development and Professional Growth: Demonstrate a commitment to personal and professional growth, continuously improving skills, and staying updated with emerging technologies and practices in data science and analytics
  7. Information Efficiency: Effectively gather, analyze, and interpret data to extract meaningful insights and make informed decisions, ensuring information efficiency and accuracy throughout the data science lifecycle
  8. Effective Communication: Possess strong communication skills to effectively convey complex technical information, insights, and findings to diverse audiences, facilitating effective communication within the team and with stakeholders.
  9. Ethical Decision-Making: Demonstrate a strong understanding of ethical principles and apply them in data science and analytics practice, making informed and responsible decisions that consider the ethical implications of data collection, analysis, and usa
Levels Course Code Course Title Credit Pre-Requisite
Level One CS 100 Discrete Structures 3 —
Level One CS 110 Programming Language )1) 4 —
Level One ENG 101-1 English language (1) 3 —
Level One MATH 101 Calculus(1) 3 —
Level Two CS 111 Programming Language (2) 4 CS110OR CS110T
Level Two DS 111 Introduction to Data Science 3 CS110OR CS110T
Level Two MATH 161 General Statistics 3 —
Level Two ENG 102-2 English language (2) 3 ENG101-1OR ( ENG101AND ENG102 )
Level Two BUS 101 Principles of Business Administration 3 —
Level Three CS 212 Data Structures 3 CS111OR CS111T
Level Three CS 380 Professional Ethics 1 —
Level Three IS 220 Database Fundamentals 4 CS111TOR CS111
Level Three MATH 103 Calculus (II) 4 —
Level Three MATH 242 Principles of Linear Algebra 3 MATH101OR MATH101T
Level Four IT 221 Computer Networks Fundamentals 3 CS110TOR CS110
Level Four MATH 367 Probability theory 3 ( MATH103TOR MATH102TOR Math102OR MATH103 )AND ( MATH161TOR MATH162OR MATH261TOR MATH161 )
Level Four CS 220 Algorithms Design and Analysis 3 ( CS100TOR CS100 )AND ( CS212TOR CS212 )
Level Four CS 351 Human-Computer Interaction 3 CS212TOR CS212
Level Four DS 242 Data Governance 3 DS111
Level Five DS 321 Information Retrieval 3 ( CS212TOR CS212 )AND ( MATH242TOR MATH242 )
Level Five MATH 368 Statistical Analysis for Data 3 MATH367TOR MATH367
Level Five CS 340 Operating Systems 3 CS212OR CS212TOR CS212D
Level Five CS 385 Software Engineering 3 IS220OR IS220T
Level Five DS 312 Data Mining 3 ( IS220TOR IS220 )AND DS111
Level Six DS 322 Business Intelligence 3 BUS101AND ( MATH368OR MATH366T )AND DS312
Level Six DS 323 Machine Learning 3 DS312
Level Six DS 331 Big Data 4 ( IS220TOR IS220 )AND DS312
Level Six IS 350 Projects Management 3 CS212TOR CS212
Level Seven DS 413 Data Exploration and Visualization 3 CS220TOR CS220
Level Seven DS 424 Time Series and Forecasting in Data Science 3 DS322AND ( MATH368OR MATH366T )
Level Seven DS 443 Data Privacy and Security 3 DS242
Level Seven DS 451 Graduation Project (1) 3 IS350TOR IS350
Level Eight DS 452 Graduation Project (2) 3 DS451
Level Eight DS 453 CO-OP Training 6 DS443AND DS413AND DS451

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

Elective Specialization Requirements

Course Code Course Title Credit
DS 435 Data Science for Healthcare 3
DS 436 Multimedia Data Analysis 3
DS 437 Selected Topics (2) 3
DS 341 Data Warehousing 3
DS 361 Data science for Business 3
DS 414 Tools for Data Science 3
DS 432 Cloud Management and Security 3
DS 433 Web Analytics 3
DS 434 Selected Topics (1) 3
STAT 332-M Population Study "Demography" 3
STAT 354-M Stochastic Financial Modelling 3
STAT 455-M Applied Survival Analysis 3
STAT 458-M Econometric Methods and Modelling 3
STAT 462-M Statistical Methods in Data Science 3