Computer Science: Bioinformatics (BS)

Personnel in the College of Physical and Mathematical Sciences Advisement Center will advise regarding core courses and suggested general education. Questions regarding curriculum and career decisions should be directed to the undergraduate advisor in the Computer Science Department.

Note: All hours of credit applied toward a major in computer science must be of C- or better and must be taken within eight years of declaring the computer science major. Any exceptions must be approved by the department. Students may choose to graduate under later requirements by updating their date of entry into the major at the college advisement center.

Requirement 1 — Complete 10 Courses 

Computer Science core:

course - Intro to Computer Science 3.0

course - Exploring CS 0.5

course - Computer Systems 3.0

course - Data Structures 3.0

course - Discrete Structure 3.0

course - Adv Software Construction 4.0

course - Intro to Machine Learning 3.0

course - Careers in CS 0.5

course - Algorithm Design & Analysis 3.0

course - Ethics & Computers in Society 2.0

Requirement 2 — Complete 7 Courses 

Biology core:

course - Biology 4.0

course - Introduction to Bioinformatics 3.0

course - Stat Analysis for Biologists 4.0

course - Bioinformatics Algorithms 3.0

course - Capstone in Bioinformatics 3.0

course - Molecular Biology 3.0

course - Genetics 3.0

Requirement 3 — Complete 5 Courses 

Supporting courses:

course - Gen College Chem 1+Lab Integr 4.0

course - Calculus 1 4.0

course - Elementary Linear Algebra 2.0

course - Computational Linear Algebra 1.0

course - Technical Communication 3.0

Requirement 4 — Complete 1 of 2 Courses 

course - Evolutionary Medicine 2.0

course - Evolutionary Biology 4.0

Requirement 5 — Complete 1 of 2 Courses 

course - Advanced Machine Learning 3.0

course - Deep Learning 3.0

Requirement 6 — Complete 12 hours

Courses will not double count between Requirement 5 and Requirement 6.

Option 6.1 — Complete at least 6 hours up to 12 hours

Complete up to 12 hours from the following courses

course - Genetics of Human Disease 3.0

course - Introduction to HCI 3.0

course - Web Programming 3.0

course - Test, Analysis, & Verification 3.0

course - Concepts of Programng Lang 3.0

course - Operating Systems Design 3.0

course - Graphics and Image Processing 3.0

course - Advanced Techniques in HCI 3.0

course - Adv Algorithms & Probl Solving 3.0

course - Topics in Computer Science - You may take up to 3.0 credit hours 1.0v

course - Software Business 3.0

course - Linear Prog/Convx Optimization 3.0

course - Software Engineering 3.0

course - Algorithmic Lang & Compilers 3.0

course - Computer Vision 3.0

course - Database Modeling Concepts 3.0

course - Fund of Information Retrieval 3.0

course - Computer Graphics 3.0

course - Mobile and Ubiquitous HCI 3.0

course - Comp Comms & Networking 3.0

course - Distributed System Design 3.0

course - Computer Security 3.0

course - Blockchain Technologies 3.0

course - Intro Artificial Intelligence 3.0

course - Voice Interfaces 3.0

course - Advanced Machine Learning 3.0

course - Deep Learning 3.0

C S 478 - Tools for Machine Learning - This course is no longer available for registration and will count only if you completed it while it was offered. Please see your college advisement center for possible substitutions. 3.0

course - Intro to Machine Translation 3.0

course - Soft Eng Capstone 1 3.0

course - Soft Eng Capstone 2 3.0

course - Data Science Capstone 1 3.0

course - Data Science Capstone 2 3.0

course - Verification and Validation 3.0

course - Computing Competitions - You may take up to 3.0 credit hours 3.0

course - Robust Control 3.0

course - Inter Soft Systems 3.0

course - Transformers for NLP 3.0

course - Intro to Network Science

course - Theory of Predictive Modeling 3.0

Option 6.2 — Complete up to 6 hours

course - Undergraduate Research - You may take up to 6.0 credit hours 3.0

course - Undergraduate Special Projects - You may take up to 3.0 credit hours 1.0v

Requirement 7 — Obtain confirmation from your advisement center that you have completed the following: 

Complete Senior Exit Interview with the CS department during your last semester or term.