Sign In
|
pnu-logo

    • ProgramDetails

    Bachelor of Science in Data Science and Analytics

    About The Academic Program

    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.

    Major

    Data Science and Analytics

    Language of instruction

    English

    Duration

    4 Years

    Academic degree

    Bachelor of Science in Data Science and Analytics

    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

    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.

    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

    K1 Explain the main theories, concepts, processes, techniques and tools of data science and analytics and its related fields for professional practices.
    K2 Identify appropriate research methods and investigation techniques related to current and emerging topics within the data science and analytics discipline.
    S1 Apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.
    S2 Analyze complex data science problems, leveraging principles of computing and other relevant disciplines and employ research methodologies to identify solutions.
    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.
    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.
    V1 Recognize professional and societal responsibilities in data science and make informed judgments in computing practice based on domain-specific, legal and ethical principles.
    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

    Study Plan

    Course Code Course Title Credit
    Ethics and Islamic Values 2
    Islamic Banking and Economics 2
    Community Building in Islam 2
    English Language (1) 3
    English Language (2) 3

    Course Code Course Title Credit
    Communication Skills 2
    Creative Writing 2
    Writing Academic Reports 2
    Emotional Intelligence Course 2
    Basics of Entrepreneurship 2
    Principles of Projects Management 2
    Giftedness and Mental Superiority 2
    Principles of E-Commerce 2
    Financial Literacy 2
    Leadership and Change Management 2
    Health Awareness 2
    Poetry and Prose in Arabic Literature 2
    Well-Being and Quality of Life 2
    Fitness and Sport Science 2
    Sustainable Development 2
    Global Citizenship 2
    Lifelong Learning Skills 2
    Sustainable Ecosystems 2
    History of Kingdom of Saudi Arabia and its Pioneering Role 2
    Good Citizenship Values 2
    Saudi Arts and Heritage 2
    Computer Skills and Information Technology 2
    Basics of Programming 2
    Data Analysis and Management 2

    Course Code Course Title Credit

    Course Code Course Title Credit
    Web Analytics 3
    Selected Topics (1) 3
    Data Science for Healthcare 3
    Multimedia Data Analysis 3
    Selected Topics (2) 3
    Data Warehousing 3
    Data science for Business 3
    Tools for Data Science 3
    Cloud Management and Security 3
    Web Analytics 3
    Selected Topics (1) 3
    Data Science for Healthcare 3
    Multimedia Data Analysis 3
    Selected Topics (2) 3
    Data Warehousing 3
    Data science for Business 3
    Tools for Data Science 3
    Cloud Management and Security 3
    Web Analytics 3
    Selected Topics (1) 3
    Data Science for Healthcare 3
    Multimedia Data Analysis 3
    Selected Topics (2) 3
    Data Warehousing 3
    Data science for Business 3
    Tools for Data Science 3
    Cloud Management and Security 3

    Course Code Course Title Credit Pre-Requisite
    Discrete Structures 3
    Programming Language )1) 4
    English language (1) 3
    English language (2) 3 ENG101-1OR ( ENG101AND ENG102 )
    Calculus(1) 3

    Course Code Course Title Credit Pre-Requisite
    Principles of Business Administration 3
    Programming Language (2) 4 CS110OR CS110T
    Introduction to Data Science 3 CS110OR CS110T
    General Statistics 3

    Course Code Course Title Credit Pre-Requisite
    Data Structures 3 CS111OR CS111T
    Professional Ethics 1
    Database Fundamentals 4 CS111TOR CS111
    Calculus (II) 4
    Principles of Linear Algebra 3 MATH101OR MATH101T

    Course Code Course Title Credit Pre-Requisite
    Human-Computer Interaction 3 CS212TOR CS212
    Data Governance 3 DS111
    Algorithms Design and Analysis 3 ( CS100TOR CS100 )AND ( CS212TOR CS212 )
    Computer Networks Fundamentals 3 CS110TOR CS110
    Probability theory 3 ( MATH103TOR MATH102TOR Math102OR MATH103 )AND ( MATH161TOR MATH162OR MATH261TOR MATH161 )

    Course Code Course Title Credit Pre-Requisite
    Information Retrieval 3 ( CS212TOR CS212 )AND ( MATH242TOR MATH242 )
    Operating Systems 3 CS212OR CS212TOR CS212D
    Software Engineering 3 IS220OR IS220T
    Data Mining 3 ( IS220TOR IS220 )AND DS111
    Statistical Analysis for Data 3 MATH367TOR MATH367

    Course Code Course Title Credit Pre-Requisite
    Business Intelligence 3 BUS101AND ( MATH368OR MATH366T )AND DS312
    Machine Learning 3 DS312
    Big Data 4 ( IS220TOR IS220 )AND DS312
    Projects Management 3 CS212TOR CS212

    Course Code Course Title Credit Pre-Requisite
    Time Series and Forecasting in Data Science 3 DS322AND ( MATH368OR MATH366T )
    Data Privacy and Security 3 DS242
    Graduation Project (1) 3 IS350TOR IS350
    Data Exploration and Visualization 3 CS220TOR CS220

    Course Code Course Title Credit Pre-Requisite
    Graduation Project (2) 3 DS451
    CO-OP Training 6 DS443AND DS413AND DS451