The School of Arts & Sciences

Department of Computer Science & Mathematics

BS in Bioinformatics

Program Overview

Bioinformatics is a multidisciplinary program that combines biology with statistics and information technology to explore and understand biological data. Major research areas in the field include: alignment of gene and protein sequences, design and discovery of new drugs, prediction of protein structures, regulation of gene expressions and pathways, interaction of proteins, as well as association of genes with different diseases.

The exponential growth of biological information has led to a critical need for undergraduate students to be trained on the latest technologies and methods required to deal with such huge amounts of data. A classically trained biologist may be unfamiliar with the statistical and algorithmic knowledge required in the field. A classically trained computer scientist may also be unfamiliar with the biology and chemistry required to properly interpret, analyse and manage the data.

LAU’s BS in Bioinformatics program strives for a balance of the two while providing students with a solid foundation in the biological and computer sciences in preparation for new graduate or career opportunities in bioinformatics, biology, computer science as well as the fast-paced healthcare industry. Students can also choose to pursue a career in medicine since the BS in Bioinformatics is also a pre-med program and covers all the required courses to sit for the MCAT.


The Bioinformatics program is housed in the Computer Science and Mathematics Department, and is offered jointly with the Natural Sciences Department.

The program consists of 100 credits, 76 of which are for core courses and 24 for elective courses, and it may be completed in three years.

The core areas of study are: bioinformatics tools and databases, programming languages, data structures and algorithms, data mining, biostatistics, cellular and molecular biology, genetics, chemical principles and biochemistry.

The program also offers students a wide range of elective courses covering various research areas in bioinformatics such as functional genomics, structural bioinformatics, population genetics, association analysis, machine learning and systems biology.

Additionally, the program requires a capstone project, which provides students with the opportunity to apply their skills and knowledge to acquire research and practical experience.

Major requirements (42 credits) 

 Bioinformatics Core Courses  


BIF205 Biostatistics 3
BIF243 Introduction to Object-Oriented Programming 3
BIF244 Introduction to Script Programming 3
BIF245 Objects and Data Abstraction 3
BIF310 Algorithms and Data Structures 3
BIF355 Molecular Biology 3
BIF375 Database Management Systems 3
BIF415 Introduction to Bioinformatics 3
BIF524 Data Mining 3
BIF599 Capstone 3

Electives: Choose any four courses (12 credits)

Elective Courses


BIF Electives (min. 6-max. 12 credits)


BIF425 Functional Genomics 3
BIF435 Structural Bioinformatics 3
BIF455 Computational Drug Design 3
BIF498 Topics in Bioinformatics 3
BIF513 Computational Biology 3
BIF515 Machine Learning 3
MATH Electives (min. 0-max. 6 credits)*  
MTH301 Linear Algebra 3
MTH304 Differential Equations 3
MTH307 Discrete Structures II 3
Premed Requirements  (3 credits)**  
PHY305 Modern Physics for Life Sciences 3
* advised for students who wish to pursue graduate studies in Computer Science  
** required from students who will be sitting for the MCAT exam  

Other requirements (34 credits) 

 Biology Requirements


BIO201 General Biology I 4
BIO202 General Biology II    4
BIO321 Genetics 3
BIO322 Genetics Lab 1

 Chemistry Requirements


CHM201 Chemistry Principles 3
CHM311 Organic Chemistry I 3
CHM312 Organic Chemistry II 3

 Physics Requirements


PHY301 Classical Physics for Life Sciences 3

 Biochemistry Requirements


BCH301 Introduction to Biochemistry 4

 Mathematics Requirements


MTH201 Calculus III                                                               3
MTH207 Discrete Structures I 3

Liberal Arts Courses: 24 Credits


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