BS in Data Science with Computer Science Concentration

Program Overview

The Bachelor of Science in Data Science with a concentration in Computer Science at UIC equips students with the skills and knowledge to excel in the rapidly growing field of data science. The program focuses on the intersection of computer science and statistics, enabling students to analyze large datasets, extract valuable insights, and design effective algorithms. Graduates are well-prepared for diverse data science careers in various industries, including technology, finance, healthcare, and research. The program emphasizes ethical considerations in data collection, analysis, and application.

Program Outline

Degree Overview:

Overview:

The Bachelor of Science in Data Science with a concentration in Computer Science at UIC equips students with the skills and knowledge needed to excel in the rapidly growing field of data science.

Objectives:

• Master foundational concepts: Students will gain a comprehensive understanding of data analysis, machine learning, statistical modeling, and database systems.
• Develop technical expertise: Through rigorous coursework and hands-on projects, students acquire proficiency in programming languages like Python and R, data visualization tools, and cloud computing technologies.
• Cultivate critical thinking: The program emphasizes analytical thinking and problem-solving skills, enabling students to tackle complex real-world challenges with data-driven solutions.
• Prepare for professional success: Students are well-prepared for diverse data science careers in various industries like technology, finance, healthcare, and research.

Outline:

Content and Structure:

The program comprises core courses in computer science, statistics, database systems, and electives in data science specializations.

Courses:

• Core Courses:
These include programming fundamentals, data structures, algorithms, ethical issues in computing, database systems, and introductory data science.
• Statistics Courses:
Students choose one course from various options like Applied Statistical Methods I, Probability and Statistics for Engineers, or Elementary Statistical Techniques for Machine Learning and Big Data.
• Careers:

Potential Paths:

Graduates can pursue careers such as data scientist, data analyst, machine learning engineer, statistician, biostatistician, data engineer, business intelligence analyst, data architect, data visualization specialist, and research scientist. These positions can be found in diverse sectors such as technology companies, financial firms, healthcare institutions, pharmaceuticals, consulting agencies, research labs, and government organizations.

Opportunities and Outcome:

The program prepares students for success in the job market through various resources like career fairs, industry connections, internship opportunities, mentorship programs, and career services support. Graduates are highly sought-after due to their expertise in analyzing and extracting insights from data, a crucial skill in today's data-driven world.

Other: The program highlights the importance of ethical considerations in data collection, analysis, and application.