- 專業(yè)概況
- 所屬院系
- 中國(guó)學(xué)生入學(xué)要求
- 課程信息
專業(yè)概況
在這里學(xué)什么？
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):
Course List Code Title Credits Bridge Courses
- CS 280 Programming Language Concepts 3
- CS 332 Principles of Operating Systems 3
- CS 505 Programming, Data Structures, and Algorithms 3
- CS 506 Foundations of Computer Science 3
Total Credits 12
Curriculum
Course List Code Title Credits Core Courses 6
- CS 636 Data Analytics with R Program 3
- MATH 663 Introduction to Biostatistics 3
Select at least three from the following at least 9 hrs Core Electives
- CS 644 Introduction to Big Data
- CS 675 Machine Learning
- MATH 615 Approaches to Quantitative Analysis in the Life Sciences
- MATH 678 Stat Methods in Data Science
- MATH 680 Advanced Statistical Learning
- BIOL 605 Prin of Bioscience Processing
- BIOL 630 Critical Thinking for the Life Sciences
- R Cell Biology: Methods & Appl
- R Molecular Bio Of Eukaryotes
- R Cell Molec Dev
Select remaining courses from the following: NJIT Electives
- BME 661 Neural Engineering
- BME 671 Biomechanics of Human Structure and Motion
- CHEM 658 Advanced Physical Chemistry
- CHEM 673 Biochemistry
- CS 631 Data Management System Design
- CS 632 Advanced Database System Design
- CS 659 Image Processing and Analysis
- CS 634 Data Mining
- CS 670 Artificial Intelligence
- CS 677 Deep Learning
- CS 681 Computer Vision
- CS 731 Applications of Database Systems
- CS 732 Advanced Machine Learning
- CS 782 Pattern Recognition and Applications
- IS 634 Information Retrieval
- ECE 640 Digital Signal Processing
- ECE 673 Random Signal Analysis I
- MATH 635 Analytical Computational Neuroscience
- MATH 636 Systems Computational Neuroscience
- MATH 637 Foundations of Mathematical Biology
- MATH 644 Regression Analysis Methods
- MATH 654 Clinical Trials Design and Analysis
- MATH 659 Survival Analysis
- MATH 662 Probability Distributions
- MATH 665 Statistical Inference
- YWCC 691 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
- R Cell Biology: Methods & Appl
- R Molecularr Bio Of Eukaryotes
- R Microbial Ecology
- R Topics in Cell Biology
- R Biology Of Cancer
- R Pharmacology
RBHS Electives
Total Credits 12
所屬院系
進(jìn)入哪個(gè)院系學(xué)習(xí)？ Ying Wu College of Computing
中國(guó)學(xué)生入學(xué)要求
為來自中國(guó)的學(xué)生設(shè)計(jì) To be considered for a master's program at NJIT, you must have completed a four-year undergraduate program accredited in the United States, or its equivalent and demonstrates strong academic achievement in an appropriate discipline. Students with TOEFL scores of 550 (Paper-based); 213 (Computer-based); 79 (Internet-based); 6.5 (IELTS).
課程信息
學(xué)制：全日制(30 學(xué)分)
學(xué)費(fèi)：US$30,540.00 (￥ 194,292) /年
開學(xué)時(shí)間：預(yù)計(jì)在八月 2022
申請(qǐng)截止日期：15-Nov-22
留學(xué)地點(diǎn)：Ying Wu College of ComputingGuttenberg Information Technologies Center (GITC), Suite 3500,University Heights,NEWARK,New Jersey,07102, United States
滬ICP備18048269號(hào)-1 
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