Bioinformatics, BS

  

Program Description

The BS in Bioinformatics Degree is designed for students interested in the interdisciplinary fields of Biology, Chemistry, Mathematics, and Computer Science. Students will have the opportunity to develop methods and software tools for understanding and analyzing biological data and to apply it to medical research.


Program Curriculum

120 credits

DSU General Education Requirements

All DSU General Education requirements must be fulfilled. A previously earned degree may fulfill those requirements, but courses must be equivalent to DSU’s minimum General Education standards in American Institutions, English, and Mathematics.

General Education Core Requirements
English3-7
Mathematics3-5
American Institutions3-6
Life Sciences 3-10
Physical Sciences3-5
Laboratory Science0-1
Fine Arts3
Literature/Humanities3
Social & Behavioral Sciences3
Exploration 3-5

Bioinformatics Core Requirements

BIOL 1610
BIOL 1615
Principles of Biology I (LS)
and Principles of Biology I Lab (LAB) 1
5
BIOL 1620
BIOL 1625
Principles of Biology II
and Principles of Biology II Lab
5
BIOL 2035Principles of Genetics Laboratory1
BIOL 3010Evolution3
BIOL 3030Principles of Genetics4
BIOL 3300Introduction to Bioinformatics3
BIOL 3550
BIOL 3555
Eukaryotic Cell Biology
and Eukaryotic Cell Biology Lab
4
BIOL 4300
BIOL 4305
Molecular Biology
and Molecular Biology Laboratory
4
BIOL 4310Advanced Bioinformatics3
BIOL 4810RIndependent Research1-2
CHEM 1210
CHEM 1215
Principles of Chemistry I (PS)
and Principles of Chemistry I Lab (LAB) 1
5
CHEM 1220
CHEM 1225
Principles of Chemistry II
and Principles of Chemistry II Lab
5
CHEM 2310
CHEM 2315
Organic Chemistry I
and Organic Chemistry I Lab
5
CHEM 2320
CHEM 2325
Organic Chemistry II
and Organic Chemistry II Lab
5
CHEM 3510
CHEM 3515
Biochemistry I
and Biochemistry I Lab
4
CS 1400Fundamentals of Programming3
CS 1410Object Oriented Programming3
CS 2420Introduction to Algorithms and Data Structures3
CS 3310Discrete Mathematics3
CS 3510Advanced Algorithms/Data Structures3
IT 2300Database Design & Management3
MATH 1210Calculus I (MA) 14
MATH 1220Calculus II (MA)4
MATH 2270Linear Algebra3
MATH 3060Statistics for Scientists3
MATH 3400Probability & Statistics3
Recommended Elective Courses
The following courses, though not required, should be considered when planning elective coursework. Please contact your academic advisor for more information.
CS 3005Programming in C++3
MATH 2280Ordinary Differential Equations3
MATH 3500Numerical Analysis3
BIOL 4910Senior Seminar1
CHEM 3520Biochemistry II3
SSC 1010Trailblazer Connections 2

Graduation Requirements

  1. Complete a minimum of 120 college-level credits (1000 and above).
  2. Complete at least 40 upper-division credits (3000 and above).
  3. Complete at least 30 upper-division credits at DSU for institutional residency, with at least 15 credits earned in the last 45 credits
  4. Cumulative GPA 2.0 or higher.
  5. Grade C or higher required in each Bioinformatics core course
  6. Maximum 6 total credits of BIOL 4810R, and/or BIOL 4890R, and/or BIOL 4930R may be used toward Biology requirements.

Graduation Plan

Plan of Study Grid
1st Year
Fall SemesterHours
BIOL 1610
BIOL 1615
Principles of Biology I (LS)
and Principles of Biology I Lab (LAB)
5
ENGL 1010 Introduction to Writing (EN) 3
CS 1400 Fundamentals of Programming 3
General Education (Social & Behavioral Sciences) 3
SSC 1010 Trailblazer Connections 2
 Hours16
Spring Semester
BIOL 1620
BIOL 1625
Principles of Biology II
and Principles of Biology II Lab
5
ENGL 2010 Interm Writing Selected Topics: (EN) 3
CS 1410 Object Oriented Programming 3
MATH 1210 Calculus I (MA) 4
 Hours15
2nd Year
Fall Semester
BIOL 3030 Principles of Genetics 4
CHEM 1210
CHEM 1215
Principles of Chemistry I (PS)
and Principles of Chemistry I Lab (LAB)
5
CS 2420 Introduction to Algorithms and Data Structures 3
MATH 1220 Calculus II (MA) 4
 Hours16
Spring Semester
BIOL 3010 Evolution 3
BIOL 4300
BIOL 4305
Molecular Biology
and Molecular Biology Laboratory
4
CHEM 1220
CHEM 1225
Principles of Chemistry II
and Principles of Chemistry II Lab
5
BIOL 2035 Principles of Genetics Laboratory 1
General Education (Literature/Humanities) 3
 Hours16
3rd Year
Fall Semester
BIOL 3300 Introduction to Bioinformatics 3
CHEM 2310
CHEM 2315
Organic Chemistry I
and Organic Chemistry I Lab
5
CS 3310 Discrete Mathematics 3
General Education (American Institutions) 3
 Hours14
Spring Semester
BIOL 4310 Advanced Bioinformatics 3
CHEM 2320
CHEM 2325
Organic Chemistry II
and Organic Chemistry II Lab
5
CS 3510 Advanced Algorithms/Data Structures 3
MATH 2270 Linear Algebra 3
 Hours14
4th Year
Fall Semester
BIOL 3550
BIOL 3555
Eukaryotic Cell Biology
and Eukaryotic Cell Biology Lab
4
CHEM 3510
CHEM 3515
Biochemistry I
and Biochemistry I Lab
4
Upper-division recommended elective 2
MATH 3400 Probability & Statistics 3
General Education (Fine Arts) 3
 Hours16
Spring Semester
General Education (Exploration) 3
MATH 3060 Statistics for Scientists 3
BIOL 4810R Independent Research 2
IT 2300 Database Design & Management 3
Upper-division recommended elective 2
 Hours13
 Total Hours120

Bioinformatics Program Learning Outcomes

At the successful conclusion of this program, students will be able to:
1. Outline the foundational concepts of biology, chemistry, computer science, and mathematics.
2. Create computational solutions to biological and biology-related research problems using interpreted and compiled programming languages, recognizing the need for continual learning and skill development.
3. Devise and understand the range of high-throughput, large-scale research projects in contemporary inquiry in biology and biology related fields.
4. Develop and apply algorithms and statistical strategies used in analysis of biological and biology-related research problems.