UIUC Course Map for CS and Blended CS Degrees

The UIUC Course Explorer stands out for its comprehensive and user-friendly interface, allowing students to easily search for courses by keyword, department, credit hours, instructor, and even Gen Ed requirements. This detailed filtering system helps students strategically plan their schedules to meet graduation requirements, explore different areas of interest, and optimize their workload. In terms of school life, students can leverage the Course Explorer to build well-rounded course plans each semester, find classes that fit their learning style through professor reviews, identify intriguing electives outside of their major, and ensure they're fulfilling all necessary degree requirements, ultimately leading to a more efficient and fulfilling academic experience.

Computer Science

https://grainger.illinois.edu/academics/undergraduate/majors-and-minors/cs-map

CS + Statistics

At UIUC, a CS + Statistics student learns a rigorous combination of computer science fundamentals like data structures, algorithms, software development, and computer architecture, alongside statistical theory and methods including probability, statistical inference, regression, and machine learning. They develop skills in data analysis, modeling, and interpretation, combining computational expertise with statistical understanding to extract meaningful insights from data and build data-driven applications. Coursework often includes advanced topics such as statistical learning, Bayesian statistics, optimization, and distributed computing, preparing them for careers in data science, machine learning engineering, and related fields.

https://siebelschool.illinois.edu/academics/undergraduate/degree-program-options/cs-x-degree-programs/bs-statistics-computer-science

CS + GGIS

A CS + GGIS (Computer Science + Geographic Information Science) student at UIUC learns a blend of fundamental computer science principles like data structures, algorithms, programming languages, and software engineering, coupled with the theoretical and practical aspects of geographic information science. This includes spatial data analysis, cartography, remote sensing, GIS software development, and the application of computational methods to geographic problems. They learn to build systems and solve problems that involve spatial data, visualization, and analysis, potentially leading to careers in location-based services, urban planning, environmental science, or data science with a geographic focus.

https://siebelschool.illinois.edu/academics/undergraduate/degree-program-options/cs-x-degree-programs/computer-science-geography

CS + Advertising

At UIUC, a CS + Advertising major learns a blend of technical computer science skills and strategic communication principles. On the CS side, they gain expertise in programming, data structures, algorithms, and software development. Complementing this, they learn advertising fundamentals like consumer behavior, market research, campaign development, media planning, and creative strategy. The program emphasizes applying computational techniques to advertising problems, such as data-driven marketing, personalized advertising, social media analytics, and interactive ad development, preparing graduates to leverage technology to drive effective advertising campaigns.

https://siebelschool.illinois.edu/academics/undergraduate/degree-program-options/cs-x-degree-programs/computer-science-advertising

CS + Linguistics

A CS + Linguistics student at UIUC learns to bridge the gap between computer science and human language. They gain a strong foundation in core CS principles like programming, data structures, algorithms, and software engineering, while simultaneously developing expertise in linguistics, covering phonetics, phonology, morphology, syntax, semantics, and pragmatics. The curriculum focuses on computational linguistics, enabling them to apply CS techniques to analyze, understand, and generate human language. This includes natural language processing (NLP), machine translation, speech recognition, and computational psycholinguistics. Ultimately, they learn to design and build intelligent systems that can process and interact with language in meaningful ways, preparing them for careers in areas like AI, machine learning, human-computer interaction, and language technology.

https://siebelschool.illinois.edu/academics/undergraduate/degree-program-options/cs-x-degree-programs/computer-science-linguistics

Common courses for each majors should take

Computer Science (CS)

• CS 100 – Computer Science Orientation
• CS 124 – Intro to Computer Science I
• CS 128 – Intro to Computer Science II
• CS 173 – Discrete Structures
• CS 222 – Software Design Lab
• CS 225 – Data Structures
• CS 233 – Computer Architecture
• CS 341 – Systems Programming
• CS 361 – Probability & Statistics for Computer Science
• CS 374 – Introduction to Algorithms & Models of Computation
• CS 421 – Programming Languages & Compilers

Mathematics (MATH)

• MATH 221 – Calculus I
• MATH 231 – Calculus II
• MATH 257 – Linear Algebra with Computational Applications

Geography & Geographic Information Science (GGIS)

• GGIS 371 – Spatial Analysis
• GGIS 379 – Introduction to Geographic Information Systems
• GGIS 380 – Geographic Information Systems II
• GGIS Electives (GGISE) – Elective courses in GGIS
• GGIS Human or Physical (GGISHorP) – Human and/or Physical GGIS courses

General Education (GenEd)

• RHET 105 – Writing and Research (Composition I)
• LAS 101 – Design First Year Experience
• General Education Electives (multiple, labeled GEE)