Bachelor of Science in Data Science

Program Description

Program Overview

The Bachelor of Science in Data Science at City University Ajman aspires to be a leading program in data science education, research, and innovation, recognized for its excellence in developing data-driven solutions that contribute to scientific advancements, business intelligence, and societal impact.

Program Teaching Language : English Icon

4 years 8 semesters

List of Courses Icon

123 Credit Hours

Study Plan Icon

Fall, Spring and Summer Semesters

Course Description

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Program Mission

The program aims to prepare graduates with strong analytical, computational, and problem-solving skills to excel in the field of data science. By integrating theory, practice, and ethical considerations, the program fosters expertise in data analytics, artificial intelligence, and big data technologies. It equips students with the competencies to extract meaningful insights from data and develop intelligent systems that address real-world challenges in diverse industries while ensuring ethical and responsible data use.

Degree Requirements

Component	Courses	Credit Hours
General Education	10	30
Program Core Courses	12	36
Program Specialization	18	54
Elective Courses	3	9
Total Required	38	129

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Program Learning Outcomes

Cultivate Experts in Data Science: Develop graduates with a comprehensive understanding and ability to innovate within the theoretical and practical realms of data science.
Emphasize Ethical and Responsible Data Science Practices: Instill a strong foundation in the ethical, legal, and security aspects of data collection, processing, and usage, ensuring graduates uphold privacy and governance standards.
Facilitate Real-World Problem Solving: Equip students with the skills to apply data science techniques and analytical models to address real-world challenges and make informed decisions using data-driven insights.
Promote Technical Mastery and Innovation: Provide the technical know-how for students to develop, implement, and evaluate data-driven systems, emphasizing tools such as machine learning, deep learning, big data analytics, and data visualization.
Prepare Graduates with Professional and Interpersonal Skills: Prepare graduates for effective communication and collaboration in diverse professional environments, including industry, academia, and government sectors.
Provide the Skills for Lifelong Learning and Personal Development: Encourage continuous and personal growth through lifelong learning and adaptation to emerging data science technologies and methodologies.