Bachelor of Science in Data Science

Program Overview:
The Bachelor of Science in Data Science is designed to equip students with the essential skills and knowledge required to analyze complex data sets, derive meaningful insights, and make data-driven decisions. Our comprehensive curriculum combines theoretical knowledge with practical applications, preparing graduates for a variety of roles in the data-driven economy.

Program Duration: 6 Semesters
Credit Hours: 180

Semesters:

Semester 1: Foundations of Data Science

  • Introduction to Data Science
  • Programming for Data Science (Python/R)
  • Mathematics for Data Science
  • Data Visualization Techniques
  • Communication Skills for Data Professionals

Semester 2: Data Management and Analysis

  • Database Systems and SQL
  • Data Wrangling and Preprocessing
  • Statistical Methods for Data Analysis
  • Introduction to Machine Learning
  • Ethics in Data Science

Semester 3: Advanced Data Techniques

  • Advanced Machine Learning
  • Big Data Technologies and Tools (Hadoop, Spark)
  • Data Mining Techniques
  • Data Engineering and Architecture
  • Research Methods in Data Science

Semester 4: Specialization and Application

  • Specialization Electives (Choose 1)
  • Natural Language Processing
  • Computer Vision
  • Time Series Analysis
  • Data Science Project I (Group Project)
  • Business Intelligence and Analytics
  • Cloud Computing for Data Science

Semester 5: Capstone and Real-World Experience

  • Data Science Project II (Individual Project)
  • Industry Internship / Co-op Experience
  • Advanced Topics in Data Science (Guest Lectures)
  • Data Ethics and Policy

Semester 6: Career Preparation and Deployment

  • Data Science Practicum
  • Professional Development and Career Readiness
  • Final Capstone Project
  • Data Science Portfolio Development
  • Industry Networking and Job Search Strategies

Assessment Methods:

Assessment in the Bachelor of Science in Data Science program will be conducted through a variety of methods to ensure a comprehensive evaluation of student understanding and skills:

  • Exams and Quizzes: Regular assessments to test theoretical knowledge.
  • Assignments and Projects: Hands-on assignments and group projects to apply learned concepts.
  • Practical Labs: Practical sessions to reinforce technical skills in data manipulation and analysis.
  • Capstone Projects: A significant project at the end of the program that demonstrates the ability to apply data science techniques to real-world problems.
  • Internship Evaluation: Performance assessment based on internship experience.
  • Portfolio Review: Evaluation of a compiled portfolio showcasing skills and projects completed during the program.

Career Opportunities:
Graduates of the Bachelor of Science in Data Science can pursue various career paths, including but not limited to:

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Data Engineer
  • Statistician

Application Process:
Interested candidates are encouraged to visit our Admissions page for more information on application requirements, deadlines, and how to apply.

Contact Information:
For further inquiries, please contact us at [insert contact email/phone number] or visit our [website link].

Join us in shaping the future of data-driven decision-making!