Bioinformatics and Computational Biology BS - Biomedical Informatics Concentration - Program Requirements

A minimum combined GPA of 3.000 for required courses is required for retention in the major. At the end of every semester a review of all coursework is completed, and any student not meeting the GPA minimum for four consecutive semesters will be dismissed from the major.

It is important that students consult their academic advisors when making decisions related to their academic progress.

Students interested in pursuing a BS in Biomedical Informatics should contact the Jacobs School undergraduate education office for more information.

Students interested in applying transfer work to degree requirements should refer to the TAURUS website for articulation.

Prerequisite courses may be transferred from other educational institutions if they are equivalent. Students should consult with the Jacobs School of Medicine and Biomedical Sciences academic advisor to determine equivalency.

BIO 200 Evolutionary Biology
BIO 201 Cell Biology
BIO 211 Cell Biology Lab
CHE 101/CHE 113 General Chemistry
CHE 102/CHE 114 General Chemistry
CHE 203/CHE 205 Organic Chemistry
CHE 204/CHE 206 Organic Chemistry
MTH 141 College Calculus I
MTH 142 College Calculus II
CSE 115 Introduction to Computer Science for Majors I

BCH 403 Biochemical Principles
BCH 410 Biomedical Genetics
BCH 419 Introduction to Bioinformatics & Computational Biology
BMI 401 Intro to Biomedical Informatics
BMI 494 Biomedical Informatics Senior Capstone
BMI 402 Biomedical Informatics: Science and Enabling Technology
BMI 498 Undergraduate Research
CSE 116 Introduction to Computer Science for Majors II
MTH 411 Probability or STA 301 Intro to Probability
MTH 412 Introduction to Statistical Inference or STA 302 Introduction to Statistical Inference
PHY 101 College Physics I
PHY 151 College Physics I Lab
PHY 102 College Physics II
PHY 152 College Physics II Lab
6 credits of Upper Division Track Electives
4 credits of CSE electives

Electives:
BIO 302 Introduction to Molecular Biology 
BIO 305 Fundamentals of Biological Chemistry
BIO 319 Genetics
BIO 400 Bioinformatics/Genome Analysis
BIO 402 Advanced Cell and Developmental Biology 1
BIO 404 Advanced Molecular Genetics
BIO 417 Neurobiology
BIO 449 Comparative Genomics
CSE 331 Algorithms and Complexity
CSE 368 Introduction to Artificial Intelligence
CSE 370 Applied Human Computer Interaction and Interface Design
CSE 408 Programming with Python
CSE 460 Data Models and Query Languages
CSE 463 Knowledge Representation
CSE 469 Introduction to Data Mining
CSE 474 Introduction to Machine Learning
CSE 487 Data intensive Computing
EAS 345 Introduction to Data Science
MTH 306 Introduction to Differential Equations
MIC 401 Biomedical Microbiology
MIC 412 Fundamentals of Immunology
MTH 306 Introduction to Differential Equations
MTH 309 Introductory Linear Algebra
NRS 301 The Brain
PGY 300 Human Physiology
PUB 340 Introduction to Epidemiology
PUB 420 Social Determinants of Health
STA 306 Introduction to Statistical Computing with SAS I
STA 403 Statistical Comparisons and Associations
STA 404 Regression Analysis
STA 427 Statistical Analysis I
STA 431 Sample Survey Theory Methods

Students should consult with an academic advisor to determine how any transfer or exam credit might be utilized in meeting general education, prerequisite, or major requirements.

See Baccalaureate Degree Requirements for general education and remaining university requirements.

Total Credit Hours Required represents the minimum credits needed to complete this program, and may vary based on a number of circumstances. This chart should not be used for financial aid purposes.