Degree Requirements

A minimum of 30 credits is required for the degree, excluding bridge courses. The graduate curriculum consists of five core courses and additional elective courses, with an optional thesis (six credits) or research project (three credits).

Students with non-computing STEM background may be accepted and required to take the following bridge courses (CS 506 may count toward the credits required for the MS degree):

Bridge Courses
CS 280Programming Language Concepts3
CS 332Principles of Operating Systems3
CS 505Programming, Data Structures, and Algorithms3
CS 506Foundations of Computer Science3
Total Credits12

Curriculum

Core Courses6
CS 636Data Analytics with R Program3
MATH 663Introduction to Biostatistics3
Select at least three from the followingat least 9 hrs
Core Electives
Introduction to Big Data
Machine Learning
Approaches to Quantitative Analysis in the Life Sciences
Stat Methods in Data Science
Advanced Statistical Learning
Prin of Bioscience Processing
Critical Thinking for the Life Sciences
Cell Biology: Methods & Appl
Molecular Bio Of Eukaryotes
Cell Molec Dev
Select remaining courses from the following:
NJIT Electives
Neural Engineering
Biomechanics of Human Structure and Motion
Advanced Physical Chemistry
Biochemistry
Data Management System Design
Advanced Database System Design
Image Processing and Analysis
Data Mining
Artificial Intelligence
Deep Learning
Computer Vision
Applications of Database Systems
Advanced Machine Learning
Pattern Recognition and Applications
Information Retrieval
Digital Signal Processing
Random Signal Analysis I
Analytical Computational Neuroscience
Systems Computational Neuroscience
Foundations of Mathematical Biology
Regression Analysis Methods
Clinical Trials Design and Analysis
Survival Analysis
Probability Distributions
Statistical Inference
Graduate Capstone Project (Counting towards the elective credits requires the program director’s prior approval. In addition, it needs to be completed with an external partner (industry, lab, or government), or with a faculty only if the same faculty is not the student’s MS project or MS thesis advisor.)
Rutgers-Newark Electives
Cell Biology: Methods & Appl
Molecular Bio Of Eukaryotes
Microbial Ecology
Topics in Cell Biology
Biology Of Cancer
Pharmacology
RBHS Electives
Total Credits12