The Master of Science in Bioinformatics is focused on preparing students to take on research in one of four key areas: drug design and discovery, integrated bioinformatics and genomics, computational biology, and biomedical informatics. This degree is offered jointly by 糖心Vlog传媒 Little Rock and the University of Arkansas for Medical Sciences (糖心Vlog传媒MS). Combining the academic, clinical, and research resources of 糖心Vlog传媒MS with the computational, scientific, academic, and research capabilities of 糖心Vlog传媒 Little Rock, this program prepares students to function in an interdisciplinary research environment.

Degree Requirements

Students must complete 35 credit hours. These hours must include core courses, research experiences, and electives.

Core Courses (four classes, 15 credits):

  • BINF 5445 Bioinformatics Theory and Applications (4 credits)
  • BIOL 5415 Biometry (4 credits) or BIOS 5013 Biostatistics I (3 credits)
  • BIOL 5417 Molecular Biology (4 credits)
  • One course selected from: CPSC 7375 Machine Learning, CPSC 7373 Artificial Intelligence, or CPSC 7385 Analysis of Algorithms (all are 3 credits)

Research Experiences (8 credits):

  • Two credits of BINF 7145 Lab Rotations to enable students to locate a research mentor.
  • Two credits of BINF 7193 Seminar to assist students in exploring a variety of research topics.
  • Four credits of either BINF 7156-7456 Capstone Project or BINF 7155-7455 Thesis to give students practical experience in conducting a research investigation.

Electives (three to four classes, minimum 12 credits): Students can choose their elective courses within a concentration or student can select electives across several areas to create a custom customization to fit their career interests in bioinformatics.

  • Drug Design and Discovery
    • REGS 6013 – FDA Regulation (糖心Vlog传媒MS)
    • REGS 6023 – Product Safety Assessment (糖心Vlog传媒MS)
    • REGS 5107 – Design and Management of Clinical Trials (糖心Vlog传媒MS)
    • REGS 6101 – Good Regulatory Practices (糖心Vlog传媒MS)
    • PSCI 51173 – Foundations of Pharmaceutical Evaluation and Policy Research Methods (糖心Vlog传媒MS)
    • PSCI 61153 – Pharmacoepidemiology (糖心Vlog传媒MS)
    • PHAR 51053 – Principles and Methods of Pharm and Toxicology (糖心Vlog传媒MS)
    • PSGP 5106 – Molecular Modeling (糖心Vlog传媒MS)
  • Integrated Bioinformatics and Genomics
    • IFSC 5325 – Data Mining Concepts and Techniques (糖心Vlog传媒LR)
    • IFSC 5330 – Database Security (糖心Vlog传媒LR)
    • IFSC 7321 – Information Science: Principles and Theory (糖心Vlog传媒LR)
    • IFSC 7370 – Data Science and Technologies (糖心Vlog传媒LR)
    • BIOL 5403 – Comparative Physiology (糖心Vlog传媒LR)
    • BIOL 7410 – Phylogenetic Analysis (糖心Vlog传媒LR)
  • Computational Biology
    • IFSC 5325 – Data Mining Concepts and Techniques (糖心Vlog传媒LR)
    • IFSC 7370 – Data Science and Technologies (糖心Vlog传媒LR)
    • BIOL 5422 – Human Physiology (糖心Vlog传媒LR)
    • BIOL 5413 – Immunology (糖心Vlog传媒LR)
    • BIOL 5401 – Cell Biology (糖心Vlog传媒LR)
  • Biomedical Informatics
    • IFSC 5325 – Data Mining Concepts and Techniques (糖心Vlog传媒LR)
    • IFSC 5345 – Information Visualization (糖心Vlog传媒LR)
    • IFSC 7370 – Data Science and Technologies (糖心Vlog传媒LR)
    • BMIG 5001 – Data Information and Knowledge Representation (糖心Vlog传媒MS)
    • BMIG 5003 – Computational Methods in Biomedical Informatics (糖心Vlog传媒MS)
    • BMIG 6014 – Natural Language Processing Biomedical Informatics (糖心Vlog传媒MS)


M.S. Graduation Requirements

  • Successful completion of an approved program of study with a minimum GPA of 3.0 with no more than one grade below a B and successful completion of the writing requirement.
  • Successful defense of a Bioinformatics capstone project or thesis. The Review Committee will consist of a lead faculty research mentor and at least two other faculty members with Bioinformatics graduate faculty status.
Admission Requirements
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