Biomedical Informatics MS

Graduate study in biomedical informatics provides an in-depth foundation in evaluating and managing concepts and systems related to information management in healthcare, and biomedical research settings. Our graduates will be well prepared for technical, policy or planning leadership positions in healthcare, industry, or biomedical research settings. Our faculty have research portfolios including clinical informatics/decision support, bioinformatics/translational research informatics, biomedical ontologies, clinical population/public health informatics, and the socio-technical/human centered design of biomedical information systems.

Required Core (15 credits)

BMI 501SEM - Survey of Biomedical Informatics Credits: 3
BMI 502SEM - Biomedical Informatics Application Domains: U.S. & International Credits: 3
BMI 503SEM - Biomedical Informatics Credits: 3
BMI 504SEM - Research Methods in Biomedical Informatics Credits: 3
BMI 510SEM - BMI Journal Club, Seminars and Research Practicum Credits: 3

Selective Core (6 credits)

Select 2 from:

BMI 505LLB - Advanced Bioinformatics and Translational Research Informatics Credits: 3
BMI 506SEM - Clinical Population Research and Public Health Informatics Credits: 3
BMI 507SEM - Clinical Informatics and Decision Support Credits: 3
BMI 508SEM - Biomedical Ontology Credits: 3
BMI 509SEM - Sociotechnical and Human-Centered Design Credits: 3
BMI 521SEM - Logic programming for Biomedic Credits: 3
BMI 701SEM - Special Topics Credits: 1-6

Electives & Culminating Experience (15 credits)

Electives (9-12 credits)

Number of elective credits may vary depending on choice made to complete the culminating experience. Be sure to complete enough elective credit to reach 36 minimum total credit hours.

Select from:

All graduate level Biomedical Informatics (BMI) courses
BCH 519LEC - Bioinformatics & Comp Bio Credits: 3
or
GGB 519LEC - Bioinformatics and Comp Biol Credits: 3
BE 501LEC - Human Biology for Biomedical Engineers Credits: 3
BE 561LEC - Introduction to Biomedical Image Analysis Credits: 3
CDA 502LEC - Database Management Systems Credits: 3
CHB 550LEC - Pub Hlth Popultn Wellbng Credits: 3
CSE 531LEC - Algorithms Anal & Dsgn 1 Credits: 3
CSE 535LEC - Information Retrieval Credits: 3
CSE 536LEC - Computational Biology Credits: 3
CSE 542LEC - Software Eng Concepts Credits: 3
CSE 562LEC - Database Systems Credits: 3
CSE 563LEC - Knowledge Representation Credits: 3
CSE 567LEC - Computational Linguistics Credits: 3
CSE 574LEC - Intro Machine Learning Credits: 3
CSE 601LEC - Data Mining and Bioinformatics Credits: 3
CSE 666LEC - Biometrics Image Analysis Credits: 3
CSE 675LEC - Stochastic Simulation and Inference Credits: 3
EAS 503LEC - Programming and Database Fundamentals for Data Scientists Credits: 3
EEH 500LEC - Introduction to Epidemiology Credits: 3
EEH 501LEC - Principles of Epidemiology Credits: 4
EEH 505LEC - Application of Biostatistics to Epidemiology I Credits: 3
EEH 521LEC - Global Health Credits: 3
EEH 530LEC - Intro to Health Care Credits: 3
EEH 533LEC - Strat & Oper Mgt in Hcs Credits: 3
EEH 536LEC - Health Policy in the US Credits: 3
EEH 538LEC - Intro to Health Economics Credits: 3
EEH 673LEC - Molecular Epidemiology Credits: 3
GGB 502LEC - Essentials of Genetics & Genomics Credits: 3
GGB 505LEC - Human and Medical Genetics Credits: 3
GEO 506LLB - Geographical Informat Sys Credits: 4
GEO 511LEC - Spatial Data Science Credits: 3
GEO 512LEC - Geography of Health Credits: 3
GEO 655SEM - Adv Topic in Geog Inf Sys Credits: 3
IE 500LEC - Special Topics Credits: 3
IE 512LEC - Decision Analysis Credits: 3
IE 531LEC - Human Fac Res Methodology Credits: 3
IE 532LEC - Human Info Proc Credits: 3
IE 535LEC - Human Cent Design for Interact Credits: 3
IE 536LEC - Work Physiology Credits: 3
IE 640LEC - Formal Methods for Reliable Human-Interactive Systems Credits: 3
LIS 566LEC - Information Search Credits: 3
LIS 569LEC - Database Systems Credits: 3
LIS 586LEC - Health Sci Librarianship Credits: 3
MGB 607LEC - Motivation and Leadership Credits: 3
MGB 625LEC - Power and Influence Credits: 3
MGG 622SEM - Sp Topics in Mgmt Credits: 1 - 6
MGG 643LEC - Team Building Credits: 3
MGH 642SEM - Innovators in Health Care Credits: 3
MGO 632LEC - Strategic Quality Management Credits: 3
MGO 634LEC - Project Management Credits: 3
MGS 616LEC - Predictive Analytics Credits: 3
MGS 625LEC - Management of IT Projects Credits: 3
MGS 632LEC - Seminar in Health Information Systems Credits: 3
MGS 634LEC - Integrative approaches to Healthcare Management Credits: 3
MGS 650LEC - Information Assurance Credits: 3
MGS 670LEC - Health Care Analytics Credits: 3
NGC 502LEC - Applied Informatics to Evaluate Health Care Outcomes Credits: 3
PAS 561LEC - Introduction to Biomedical Image Analysis Credits: 3
PHC 512TUT - Pharmacometric Software Credits: 1
PHI 531SEM - Problems in Ontology Credits: 3
PHI 549SEM - Applied Ontology Credits: 3
PMY 527LEC - Modern Approaches to Drug Discovery Credits: 2
STA 503LEC - Introduction to Applied Statistics I Credits: 3
STA 504LEC - Introduction to Applied Statistics II Credits: 3
STA 509LEC - Statistical Genetics Credits: 3
STA 517LEC - Categorical Data Analysis Credits: 3
STA 525LEC - Stats for Bioinformatics Credits: 3
STA 526LEC - Design and Analysis of Clinical Experiments Credits: 3
STA 527LEC - Statistical Analysis I Credits: 3 and
STA 527REC - Statistical Analysis I Credits: 1
STA 545LEC - Statistical Data Mining I Credits: 3
STA 546LEC - Data Mining II Credits: 3
STA 561LEC - Longitudinal Data Analysis Credits: 3
STA 575LEC - Survival Analysis Credits: 3
STA 581LEC - Multivar Data Analysis Credits: 3

Culminating Experience: Project or Thesis (3-6 credits)

BMI 610SEM - Research Credits: 1 - 6
BMI 699LAB - BMI Advanced Mentored Research Project Credits: 3

Total Credit Hours: 36

3.0 Degree GPA required

Program Learning Outcomes (PLOs)

1) Students will demonstrate a scope of knowledge and expertise regarding the broad and diverse discipline of biomedical informatics.

2) Students will be capable of effectively communicating the key concepts, models and theories related to biomedical informatics, and applying them to the health information management challenges and opportunities that exist within the U.S. healthcare ecosystem.

3) Students will demonstrate knowledge and understanding of health data, and health information technology from an informatics perspective.

4) Students will define, describe and utilize core informatics research methods, models and theories in conjunction with statistical data analysis, and basic programming languages to solve health, healthcare, and health information technology system problems and issues.

5) Students will demonstrate ethical and professional responsibilities and behaviors that support and protect individual and group health-related privacy/confidentiality issues.

6) Students will work effectively with all students, faculty and members of the Western New York community to support and promote the ethos of human and cultural diversity.

SED Statement

This program is officially registered with the New York State Education Department (SED).