Master of Science in Data Analytics Engineering
所属信息
基本信息
项目时长
2 years申请截止日期
-
秋季
-
常规
6/1(international outside Canada); 7/1(international inside Canada)
-
其他
-
春季
8/15
申请信息
GPA要求
3.00
TOEFL要求
85.00
IELTS要求
7.00
申请材料
GRE not required
特点
数据分析工程理学硕士为学生提供了一个培训行业工作的机会，或者获得严格的分析技能和研究经验。
The Master of Science in Data Analytics Engineering offers students an opportunity to train for industry jobs or to acquire rigorous analytical skills and research experience to prepare for a doctoral program in health, security, and sustainability at Northeastern University.
课程设置介绍：
Concentrations and course offerings may vary by campus and/or by program modality. Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality.
Certain options within the program may be required at certain campuses or for certain program modalities. Please consult with your advisor or admissions coach for requirements at your campus or for your program modality.
Core Requirements
ENPM 672: Foundations of Data Analytics Engineering - 4
or STAT 52200: Engineering Probability and Statistics - 4
ENPM 66500: Optimization and Simulation for Analytics - 4
DATABASE 52000: Data Preparation and Workflow - 4
or DATABASE 52251: Database Engineering - 4
CS 52325: Data Mining - 4
or DATABASE 53500: Big Data: Systems for Analysis at Scale - 4
ALGORITHMS 54550: Algorithms - 4
Note: CS 52300, database 52000, and DB 52257 are required for students in Vancouver.
Options
Complete one of the following options:
Coursework Option: Complete 3 semester hours from electives listed below. - 32
Project Option: E 71044 Master’s Project - 4
Complete 8 semester hours from electives listed below. - 28
*Students in Vancouver must select E 7200 and additional hours from the list provided so totals equal 28 or 32.
Thesis Option: E 79845 Master’s Thesis - 4
E 7990 Thesis - 3
Complete minimum hours from the electives listed below. - 25
*Students in Vancouver complete E 7990 or additional hours from electives listed below.
Optional Co-op Experience
Complete the following. Students must complete ENPL 7810 to qualify for coop experiences.
ENPL 7810 Introduction to Cooperative Education - 1
ENPL 7540 Co-op Work Experience - 0
or ENPL 7560 Co-op Work Experience, Half-Time - 0
or ENPL 7550 Graduate Intern Abroad, Full-Time - 0
Elective Course List
Any course in the following list will serve as an elective course, provided the course is offered and the student satisfied prerequisite and program requirements. Students can take other courses outside this list with prior approval from the faculty advisor.
General Engineering
CIE 53000: Product Development for Engineers
Civil Engineering and Environmental Engineering
CIVT 62330: Time Series and Geosurvey Data Science
Computer Science
CS 51310: Foundations of Artificial Intelligence
CS 51580: Intelligent Agents
CS 51520: Data Management and Software Systems
CS 51850: Principles of Programming Languages
CS 52150: Secure Database and Systems
CS 52160: Algorithms
CS 52325: Big Data Systems
CS 52350: Machine Learning
CS 52420: Natural Language Processing
CS 52500: Software Engineering
CS 53510: Modeling Social Networks and Learning Theory
Data Science
DS 52620: Unsupervised Machine Learning and Data Mining
Electrical and Computer Engineering
ELEC 54440: Introduction to Pattern Recognition
ELEC 57777: Advanced Neural Networks
Engineering Management
ENGM 55329: Management of Engineering Projects
ENGM 62215: Economic Decision Making
ENGM 65405: Personnel Management for Engineers
Health Information
HINF 51010: Introduction to Health Informatics and Health Information Systems
HINF 50775: Evaluating Health Technologies
HINF 51530: Financial Aspects of Health Informatics
HINF 64200: Business Health and Environment
HINF 64520: Managing the Patient as Consumer in a Digital Health Environment
HINF 66000: Management Topics in Healthcare Information Technology
HINF 68080: Introduction to Health Information Management
Hinf 8005: Business Processes for Healthcare Information Technology
HINF 81065: Introduction to Healthcare Analytics
HINF 82015: Healthcare Systems Thinking
Industrial Engineering
IE 55000: Healthcare Systems Modeling and Simulation
IE 55500: Manufacturing Systems and Processes
IE 65420: Human Performance
IE 66000: Statistical Quality Control
IE 67000: Reliability Analysis and Risk Assessment
IE 75600: Optimization in Engineering
IE 75420: Statistical Learning for Decision Making
IE 82080: Measurement Modeling for Socio-economic Decision Making
IE 82230: Geographic Information Systems for Modeling and Decision Making
IE 83515: Advanced Information Systems and Software Engineering
IE 84090: Advanced Spatial Analysis in Urban Systems
Information Systems
INEG 65440: Information Systems for Manufacturing
Mathematics
MATH 51050: Numerical Methods
MATH 52250: Advanced Calculus
MATH 52050: Complex Variables
MATH 53500: Differential Geometry
MATH 54560: Mathematical Modeling and Analysis
MATH 55620: Statistical Data Analysis
MATH 57456: Applied Statistics
MATH 65415: Regression Analysis and Design
MATH 74560: Discrete Mathematics
Network Science
NETS 64280: Network Science
NETS 64450: Networks and Systems
NETS 65430: Bayesian and Network Statistics
Operations Research
OPT 61000: Mechatronics and Application
OPT 61400: Problem Solving with Optimization
OPT 62430: Network Design for Mobile Systems
OPT 61150: Advanced Routing and Scheduling
OPT 74000: Demand Forecasting for Business
Projects
PROP 61000: Project Supervision 1
Public Affairs
PA 56030: Research for Common Good and Social Injustice
PA 54000: Big Data and Public Policy
PA 58020: Geographic Information Systems for Advanced Regional Analysis
PA 66010: Advanced Spatial Analysis Techniques
The Master of Science in Data Analytics Engineering offers students an opportunity to train for industry jobs or to acquire rigorous analytical skills and research experience to prepare for a doctoral program in health, security, and sustainability at Northeastern University.
课程设置介绍：
Concentrations and course offerings may vary by campus and/or by program modality. Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality.
Certain options within the program may be required at certain campuses or for certain program modalities. Please consult with your advisor or admissions coach for requirements at your campus or for your program modality.
Core Requirements
ENPM 672: Foundations of Data Analytics Engineering - 4
or STAT 52200: Engineering Probability and Statistics - 4
ENPM 66500: Optimization and Simulation for Analytics - 4
DATABASE 52000: Data Preparation and Workflow - 4
or DATABASE 52251: Database Engineering - 4
CS 52325: Data Mining - 4
or DATABASE 53500: Big Data: Systems for Analysis at Scale - 4
ALGORITHMS 54550: Algorithms - 4
Note: CS 52300, database 52000, and DB 52257 are required for students in Vancouver.
Options
Complete one of the following options:
Coursework Option: Complete 3 semester hours from electives listed below. - 32
Project Option: E 71044 Master’s Project - 4
Complete 8 semester hours from electives listed below. - 28
*Students in Vancouver must select E 7200 and additional hours from the list provided so totals equal 28 or 32.
Thesis Option: E 79845 Master’s Thesis - 4
E 7990 Thesis - 3
Complete minimum hours from the electives listed below. - 25
*Students in Vancouver complete E 7990 or additional hours from electives listed below.
Optional Co-op Experience
Complete the following. Students must complete ENPL 7810 to qualify for coop experiences.
ENPL 7810 Introduction to Cooperative Education - 1
ENPL 7540 Co-op Work Experience - 0
or ENPL 7560 Co-op Work Experience, Half-Time - 0
or ENPL 7550 Graduate Intern Abroad, Full-Time - 0
Elective Course List
Any course in the following list will serve as an elective course, provided the course is offered and the student satisfied prerequisite and program requirements. Students can take other courses outside this list with prior approval from the faculty advisor.
General Engineering
CIE 53000: Product Development for Engineers
Civil Engineering and Environmental Engineering
CIVT 62330: Time Series and Geosurvey Data Science
Computer Science
CS 51310: Foundations of Artificial Intelligence
CS 51580: Intelligent Agents
CS 51520: Data Management and Software Systems
CS 51850: Principles of Programming Languages
CS 52150: Secure Database and Systems
CS 52160: Algorithms
CS 52325: Big Data Systems
CS 52350: Machine Learning
CS 52420: Natural Language Processing
CS 52500: Software Engineering
CS 53510: Modeling Social Networks and Learning Theory
Data Science
DS 52620: Unsupervised Machine Learning and Data Mining
Electrical and Computer Engineering
ELEC 54440: Introduction to Pattern Recognition
ELEC 57777: Advanced Neural Networks
Engineering Management
ENGM 55329: Management of Engineering Projects
ENGM 62215: Economic Decision Making
ENGM 65405: Personnel Management for Engineers
Health Information
HINF 51010: Introduction to Health Informatics and Health Information Systems
HINF 50775: Evaluating Health Technologies
HINF 51530: Financial Aspects of Health Informatics
HINF 64200: Business Health and Environment
HINF 64520: Managing the Patient as Consumer in a Digital Health Environment
HINF 66000: Management Topics in Healthcare Information Technology
HINF 68080: Introduction to Health Information Management
Hinf 8005: Business Processes for Healthcare Information Technology
HINF 81065: Introduction to Healthcare Analytics
HINF 82015: Healthcare Systems Thinking
Industrial Engineering
IE 55000: Healthcare Systems Modeling and Simulation
IE 55500: Manufacturing Systems and Processes
IE 65420: Human Performance
IE 66000: Statistical Quality Control
IE 67000: Reliability Analysis and Risk Assessment
IE 75600: Optimization in Engineering
IE 75420: Statistical Learning for Decision Making
IE 82080: Measurement Modeling for Socio-economic Decision Making
IE 82230: Geographic Information Systems for Modeling and Decision Making
IE 83515: Advanced Information Systems and Software Engineering
IE 84090: Advanced Spatial Analysis in Urban Systems
Information Systems
INEG 65440: Information Systems for Manufacturing
Mathematics
MATH 51050: Numerical Methods
MATH 52250: Advanced Calculus
MATH 52050: Complex Variables
MATH 53500: Differential Geometry
MATH 54560: Mathematical Modeling and Analysis
MATH 55620: Statistical Data Analysis
MATH 57456: Applied Statistics
MATH 65415: Regression Analysis and Design
MATH 74560: Discrete Mathematics
Network Science
NETS 64280: Network Science
NETS 64450: Networks and Systems
NETS 65430: Bayesian and Network Statistics
Operations Research
OPT 61000: Mechatronics and Application
OPT 61400: Problem Solving with Optimization
OPT 62430: Network Design for Mobile Systems
OPT 61150: Advanced Routing and Scheduling
OPT 74000: Demand Forecasting for Business
Projects
PROP 61000: Project Supervision 1
Public Affairs
PA 56030: Research for Common Good and Social Injustice
PA 54000: Big Data and Public Policy
PA 58020: Geographic Information Systems for Advanced Regional Analysis
PA 66010: Advanced Spatial Analysis Techniques
