Master's Degree Plan 2017-2018

Candidates entering with a Bachelor's Degree need satisfactory completion of 36 credit hours of graduate courses as approved by the Program Director.

Major Field Core (All required):

  • BINF 7970 Current Lit in Bioinformatics
  • BINF 7980 Research Seminar in Bioinformatics
  • COMP 6030 Introduction to Algorithms or COMP 7712 Algorithms Implementation and Problem Solving
  • COMP 7295 Introduction to Bioinformatics
  • MATH 6635 Introduction to Probability Theory
  • MATH 7643 Least/Sq Regr/Analysis

Biology: 6 credit hours chosen from:

  • BIOL 6470 Molecular Biol of Gene
  • BIOL 7440 Molecular Biology of Cancer
  • BINF 7701 Introduction to Genomics & Bioinformatics
  • BIOL 6092 Survey of Genomics & Bioinformatics

Electives: 6 credit hours chosen from:

  • BIOL 6480 Cellular and Molecular Pharmacology
  • BIOL 7131 Cell and Molecular Biology
  • BIOL 7708 Data Science for Biology
  • COMP 6001 Intro Programming
  • COMP 6014 Intro to Java Programming
  • COMP 6118 Intro Data Mining
  • COMP 6272 System Admin and Unix Programming
  • COMP 6745 Intro Machine Learning
  • COMP 7012 Foundation of Software Eng (For CS PhD students)
  • COMP 7115 Database Systems
  • COMP 7116 Advanced Database Systems
  • COMP 7118 Data Mining
  • COMP 7130 Information Retrieval / Web Search
  • COMP 7150 Fundamentals of Data Science
  • COMP 7212 Operating & Distributed Systems (For CS PhD students)
  • COMP 7740 Machine Learning
  • COMP 7780 Natural Lang Processng
  • MATH 6607 Introduction to SAS Programming
  • MATH 6608 R for Data Proc and Visual
  • MATH 6611 Intro to Applied Statistics
  • MATH 6636 Intro Statistical Theory
  • MATH 6685 Statistical Learning I
  • MATH 6686 Statistical Learning II
  • MATH 7221 Stat Gene Expression
  • MATH 7607 Adv Prog in SAS
  • MATH 7608 Statistical Programming w/ R
  • MATH 7641 Analysis of Variance
  • MATH 7642 Design of Experiments
  • MATH 7647 Non-parametric Methods
  • MATH 7657 Multivariate Methods
  • MATH 7680 Bayesian Inference
  • MATH 7695 Bootstrap and Other Re-sampling Methods
  • MIS 7605 Bus Database Systems
  • PUBH 7150 Biostatistical Methods I
  • PUBH 7152 Biostatistical Methods II
  • PUBH 7153 Biostat in Bioinformatics

Candidates may choose to focus on statistics or computer science by selecting from a large number of graduate classes offered in the respective departments as approved by the Program Director. Please refer to the Graduate Catalog Graduate Catalog for degree plan specifications. 

Research

Research experience and understanding research principles are valuable skills in Bioinformatics, therefore up to 4 credit hours may be applied toward the degree requirement.

  • BINF 7092 Research

internship

Practical experience is a valuable component of a graduate education. An Internship allows students to develop research projects and/or gain industry experience at different institutions in Memphis and across the country. Up to 3 credit hours of supervised internship may be applied toward the degree requirement.

  • BINF 7991 Bioinformatics Internship

Thesis or Project

Candidates may choose from a thesis or a non-thesis track under the supervision of a faculty research mentor. All candidates must complete one of the following classes:

  • BINF 7996 Thesis (up to 6 credit hours)
  • BINF 7992 Bioinformatics Project (up to 3 credit hours)

Dual Majors

It is possible to obtain a Master's in Bioinformatics while working toward a Ph.D. Degree in other fields such as Biology, Computer Science, Mathematics, and Engineering. Interested students must have a minimum GPA of 3.0 and submit a change of status application form for evaluation and approval by the Program Director. Note: You must indicate that you will be finishing your current degree program to be considered a double major.

For more information, email bioinformatics@memphis.edu.