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M.S. Program in Genomics and Bioinformatics

Dr. Jack Vanderhoek
dept. of Biochemistry & Molecular Biology
Ross Hall, Room 230
2300 Eye Street NW
Washington DC. 20037
(202)-994-2929
bcmjyv@gwumc.edu

 

 

The program leading to the M.S. Degree in Genomics & Bioinformatics offers two separate tracks: Biological or Computer Science. Each has a slightly different curriculum with the optional completion of a thesis.

Biological Track, Computer Science Track

Biological Track

Students entering the Thesis option will take 23 credit hours of required core courses, 3 credit hours of electives, and 6 credit hours of thesis research (Bioc 299 & 300), for a total of 32 credit hours.

Students taking the Non-Thesis option will take a total of 35 credit hours, 23 credit hours of required core courses, 3 credit hours of electives,6 credit hours of research (Bioc 295 - 2 lab rotations, 3 credit hours each), and 3 credit hours of advanced reading (Bioc 298). At the completion of each lab rotation, a 5-10 page summary of the work carried out during the rotation is submitted. In the advanced reading course, students are required to submit a 10-15 page review paper or a mock NIH R21 style grant pertinent to Genomics, Proteomics or Bioinformatics.

  • Core Courses
    • Bioc 221 (4 credit hours) & Bioc 222 (4 credit hours) - General Biochemistry
    • Bioc 234 (3 credit hours) - Structure and Function of Proteins and Enzymes
    • Bioc 235 (2 credit hours) - Genomics, Proteomics, and Bioinformatics Seminar
    • Bioc 236 (2 credit hours) - Fundamentals of Genomics,
    • Bioc 237 (2 credit hours) - Fundamentals of Proteomics
    • Bioc 254 (3 credit hours) - Fundamentals of Molecular Biology
    • CSci 144 (3 credit hours) - Introduction to Bioinformatics
       
  • Elective Courses
    • Bioc 224 (3 credit hours) - Biochemical Techniques Laboratory
    • Bioc 230 (2 credit hours) - Topics in Protein Chemistry and Enzymology
    • Bioc 238 (2 credit hours) - Experimental Genomics Lab
    • Bioc 239 (2 credit hours) - Applied Bioinformatics
    • Bioc 250 (3 credit hours) - Molecular Biology
    • Bioc 260 (2 credit hours) - Biotechnology of Lipids and Biomembranes
    • CSci 171 (3 credit hours) - Concepts and Application of Computer Graphics
    • CSci 207 (3 credit hours) - Scientific Databases
    • CSci 241 (3 credit hours) - Database Management Systems
    • CSci 244 (3 credit hours) - Information Retrieval System
    • Stat 157 (3 credits) - Introduction to Mathematical Statistics
    • Stat 158 (3 credits) - Introduction to Mathematical Statistics II
    • Stat 206 (3 credits) - Multivariate Methods in the Behavioral Sciences
    • Stat 217 (3 credits) - Design of Experiments

Computer Science Track

The curriculum requires 38 credit hours. In addition to Bioc 235, a student must take 12 courses of which 2 may be the Thesis research course if the student chooses the thesis option. The 12 courses consist of 6 Biochemistry courses and 6 Computer Science courses.

  • Bioc 235 (2 credit hours) - Genomics, Proteomics, and Bioinformatics Seminar
  • 6 Biochemistry Core Courses
    • Bioc 221 (4 credit hours) - Biochemistry
    • Bioc 222 (4 credit hours) - Biochemistry
    • Bioc 234 (3 credit hours) - Structure and Function of Proteins and Enzymes
    • Bioc 236 (2 credit hours) - Fundamentals of Genomics
    • Bioc 237 (2 credit hours) - Fundamentals of Proteomics
    • Bioc 254 (3 credit hours) - Fundamentals of Molecular Biology
  • 3 Computer Science Core Courses
    • CSci 210 (3 credit hours) - Advanced Software Paradigms
    • CSci 211 (3 credit hours) - Computer Architectures
    • CSci 144 (3 credit hours) - Introduction to Bioinformatics
  • 3 Electives from the Following:
    • CSci 194 - Discrete Analysis in Computer Science
    • CSci 207 - Scientific Databases
    • CSci 221 - Advanced Data Structures
    • CSci 223 - Graph Theory and Applications
    • CSci 225 - Data Compression
    • CSci 235 - High-performance Computing
    • CSci 242 - Database Systems II
    • CSci 244 - Information Retrieval Systems
    • CSci 325 - Advanced Computer Algorithms
    • CSci 326 - Parallel Algorithms
    • CSci 343 - Advanced Topics in Information Systems
    • Stat 157 (3 credits) - Introduction to Mathematical Statistics
    • Stat 158 (3 credits) - Introduction to Mathematical Statistics II
    • Stat 206 (3 credits) - Multivariate Methods in the Behavioral Sciences
    • Stat 217 (3 credits) - Design of Experiments