The School of Arts & Sciences

Department of Computer Science & Mathematics

B.S. 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 B.S. 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 B.S. in Bioinformatics is also a pre-med program and covers all the required courses to sit for the MCAT.

Degree Requirements

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 104 credits, 80 of which are for core courses and 24 for elective courses, and it may be completed in 3 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.

 Biology Requirements 16
BIO 201 General Biology I 4
BIO 202 General Biology II    4
BIO 321 Genetics 3
BIO 322 Genetics Lab 1
BIO 345 Cell & Molecular Biology 4

 

 Chemistry Requirements

9

CHM201

Chemistry Principles 3
CHM311 Organic Chemistry I 3
CHM 312 Organic Chemistry II 3

 

 Physics Requirements 6
PHY 301 Classical Physics for Life Sciences 3
PHY 305 Modern Physics for Life Sciences 3

 

 Biochemistry Requirements 3
BCH 301 Introduction to Biochemistry 3

 

 Mathematics Requirements 6
MTH201 Calculus III                                                               3
MTH 207 Discrete Structures I 3

 

 Computer Science Requirements 24
BIF 205 Biostatistics 3
BIF 243 Introduction to Object-Oriented Programming 3
BIF 244 Introduction to Script Programming 3
BIF 245 Objects and Data Abstraction 3
BIF 310 Algorithms and Data Structures 3
BIF 375 Database Management Systems 3
BIF 415 Introduction to Bioinformatics 3
BIF 524 Data Mining 3

Electives: Choose any four courses (12 credits)

Elective Courses 12
BIF 345 Mathematical Modeling                                           3
BIF 425 Functional Genomics 3
BIF 435 Structural Bioinformatics 3
BIF 498 Topics in Bioinformatics 3
BIF 513 Computational Biology 3
BIF 514 Heuristic Optimization 3
BIF 515 Machine Learning 3

Liberal Arts Courses: 24 Credits

Capstone Project: 3 Credits


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