# Statistics Majors

Bioinformatics Option for Statistics Majors

## Goal Curriculum Sequence Advisors

## Purpose and Goals

With the advent of genomics and proteomics, the biological sciences are evolving from mainly experimental sciences performed at the bench to one in which large databases of information, probabilistic models and statistical analysis techniques play a significant role. Typical probabilistic models include variance components, hidden Markov models, Bayesian networks, and coalescent. Typical statistical methods include maximum likelihood, Bayesian inference, Monte Carlo Markov chains, and some methods of classification and clustering. Stochastic modeling and statistical methods are applied to a wide range of problems from Biology, such as mapping quantitative trait loci, analyzing gene expression data, sequence alignment, and reconstructing evolutionary trees. The quantitative biology concentration within the Statistics major will provide students with a working knowledge of computing and the biological sciences in order to pursue research in applied mathematical and statistical methodology.

There is a need at Hunter College to prepare and train a new generation of mathematicians and statisticians capable of using computational analysis to solve important engineering problems arising from the new frontiers of biology and medicine at the molecular level. This curriculum will give Statistics students the necessary background in Biology and Computer Science that they need for a working understanding of the subject-matter, while putting a strong emphasis on a rigorous methodological training. These students will be well prepared for bioengineering careers in bioinformatics, the pharmaceutical industry, and the biotechnology industry. They will also be well prepared for graduate studies in the mathematics and statistics of bioinformatics.

Statistics QuBi concentrators will be able to explore, summarize, produce and interpret graphical representations of as well as implement probabilistic models and make statistical inference from biological/omics data.

The Department of Mathematics & Statistics also has an MA program in Statistics and Applied Mathematics with track III in Bioinformatics

Statistics QuBi concentrators will be able to explore, summarize, produce and interpret graphical representations of as well as implement probabilistic models and make statistical inference from biological/omics data.

The Department of Mathematics & Statistics also has an MA program in Statistics and Applied Mathematics with track III in Bioinformatics

## Curriculum

**Major Entry Requirements – 8 credits**

MATH 150 (4 cr.) Calculus with Analytic Geometry I MATH 155 (4 cr.) Calculus with Analytic Geometry II

**Major Core Curriculum – 29 credits**

MATH 250 (4 cr.) Calculus with Analytic Geometry III MATH 254 (3 cr.) Ordinary Differential Equations -or- MATH 354 Dynamical Systems and Chaos

MATH 260 (4 cr.) Linear Algebra

STAT 212 (3 cr.) Discrete Probability

STAT 213 (3 cr.) Introduction to Applied Statistics

STAT 214 (3 cr.) Data Analysis Using Statistical Software

STAT 311 (3 cr.) Probability Theory

STAT 312 (3 cr.) Stochastic Processes

STAT 313 (3 cr.) Introduction to Mathematical Statistics

MATH 260 (4 cr.) Linear Algebra

STAT 212 (3 cr.) Discrete Probability

STAT 213 (3 cr.) Introduction to Applied Statistics

STAT 214 (3 cr.) Data Analysis Using Statistical Software

STAT 311 (3 cr.) Probability Theory

STAT 312 (3 cr.) Stochastic Processes

STAT 313 (3 cr.) Introduction to Mathematical Statistics

Students are normally required to take an additional 3-credit course in statistics, mathematics or computer science approved by the undergraduate statistics advisor. In order to pursue the Bioinformatics sequence, students are required instead to complete the following computer science sequence:

**Computing Component – 6 credits **

#### CSCI 132 Practical UNIX and Programming (3 cr.) (NEW)

CSCI 232 Relational Database & SQL (3 cr.) (NEW)

Students will also take the following natural science courses, which will fulfill the requirements for a minor in Biology or in Chemistry:

**Chemistry Component – 12 credits**

CHEM 102 General Chemistry I (3 cr.)CHEM 104 General Chemistry II (3 cr.)

CHEM 106 General Chemistry Lab (3 cr.)

CHEM 222 Organic Chemistry (3 cr.)

CHEM 106 General Chemistry Lab (3 cr.)

CHEM 222 Organic Chemistry (3 cr.)

Note that CHEM 102 and CHEM 104-106 are GER/2/E courses. The GER/2/E block consists of at least 7 credits.

**Biology Component– 12 credits **

BIOL 100 Principles of Biology I (4.5 cr.)

BIOL 203 Molecular Biology and Genetics (4.5 cr.)

BIOL 425 Computational Molecular Biology (3 cr.)

BIOL 203 Molecular Biology and Genetics (4.5 cr.)

BIOL 425 Computational Molecular Biology (3 cr.)

**TOTAL CREDITS – 67 CREDITS**

## Sample Course Sequence*

*Please see a

**QuBi advisor**for individualized course plansFall (Year 1) – 7 credits GER/1/B: MATH 150 GER/2/E: CHEM 102 |
Spring (Year 1) – 10 credits MATH 155 GER/2/E: CHEM 104-106 |

Fall (Year 2) – 11.5 credits STAT 212 MATH 250 BIOL 100 |
Spring (Year 2) – 10 credits MATH 254 or 354 MATH 260 STAT 213 |

Fall (Year 3) – 9 credits STAT 214 STAT 311 CSCI 132 |
Spring (Year 3) – 9 credits STAT 312 CSCI 232 CHEM 222 |

Fall (Year 4) – 4.5 credits BIOL 203 |
Spring (Year 4) – 6 credits BIOL 425 STAT 313 |

## Faculty Adviser

Dr. Ronald Neath, (212) 396-6044, rneath@hunter.cuny.edu

Acknowledgments

National Institutes of Health (NIH)/MARC Program

Howard Hughes Medical Institute (HHMI)

Center for the Study of Gene Structure and Function

National Institutes of Health (NIH)/MARC Program

Howard Hughes Medical Institute (HHMI)

Center for the Study of Gene Structure and Function