Master of Professional Studies in Analytics
所属信息
基本信息
项目时长
12-18 months申请截止日期
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秋季
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常规
2024/8/19 (International(inside Canada)); 2024/3/15 (International (outside Canada))
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其他
申请信息
GPA要求
3.00
申请材料
GRE not required
TOEFL/IELTS required
TOEFL/IELTS required
特点
分析学专业研究硕士课程为学生提供全面的分析学教育，结合核心课程和实践学习机会，以满足雇主对研究生的需求。该课程旨在深入理解数据的收集、建模和结构，同时培养识别和传达数据驱动见解的能力，这些见解能够影响决策。
The Master of Professional Studies in Analytics helps to meet the demand from employers with a graduate program that provides students with an end-to-end analytics education through a core curriculum with integrated experiential learning opportunities. The program is designed to prepare students with a deep understanding of the mechanics of working with data (i.e., its collection, modeling, and structuring), along with the capacity to identify and communicate data-driven insights that ultimately influence decisions.
课程设置介绍：
International(Inside Canada): Aug19,2024 International(outside Canada):Mar 15,2024
Required Courses
Note: ITC 6000 is for students without prior educational or professional experience with data and database structures. Students who do not complete ITC 6000 must complete a third elective course to reach 45 quarter hours.
ALY 6000 Introduction to Analytics 3
ALY 6010 Probability Theory and Introductory Statistics 3
ALY 6015 Intermediate Analytics 3
ALY 6050 Introduction to Enterprise Analytics 3
ALY 6070 Communication and Visualization for Data Analytics 3
ITC 6000 Database Management Systems 3
Experiential Learning Course
ALY 6080 Integrated Experiential Learning 3
Experiential Capstone Course
ALY 6980 Capstone 3
The remaining quarter hours of the program may be completed by a combination of completing a concentration and additional electives or selecting any courses listed in the concentrations and elective list.
Concentrations
Applied Machine Intelligence
Evidence-Based Management
Statistical Modeling
Electives
ALY 6020 Predictive Analytics
ALY 6030 Data Warehousing and SQL
ALY 6060 Decision Support and Business Intelligence
ALY 6110 Data Management and Big Data
ALY 6120 Leadership in Analytics
ALY 6130 Risk Management for Analytics
ALY 6140 Python and Analytics Systems Technology
ALY 6150 Healthcare/Pharmaceutical Data and Applications
ALY 6160 Business Intelligence in Healthcare/Pharmaceutical
ALY 6983 Topics
CED 6230 Quantitative Methods
CMN 6005 Foundations of Professional Communication
COP 6940 Personal and Career Development
EAI 6000 Fundamentals of Artificial Intelligence
EAI 6010 Applications of Artificial Intelligence
EAI 6020 AI System Technologies
EAI 6400 Data Governance and Responsible AI
EDU 6184 Interdisciplinary Foundations
GIS 5201 Advanced Spatial Analysis
ITC 6020 Information Systems Design and Development
ITC 6045 Information Technology Policy, Ethics, and Social Responsibility
ITC 6310 Information Security Governance
LDR 6110 Leading Teams Strategically in a Global Environment
LDR 6135 Ethical Leadership
PJM 6015 Project Risk Management
PJM 6125 Project Evaluation and Assessment
PJM 6180 Project Stakeholder Management
Program Credit/GPA Requirements
45 total quarter hours required
Minimum 3.000 GPA required
Applied Machine Intelligence
ALY 6040 Data Mining Applications 3
ALY 6110 Data Management and Big Data 3
EAI 6000 Fundamentals of Artificial Intelligence 3
EAI 6010 Applications of Artificial Intelligence 3
EAI 6020 AI System Technologies 3
Evidence-Based Management
ALY 6040 Data Mining Applications 3
ALY 6060 Decision Support and Business Intelligence 3
ALY 6120 Leadership in Analytics 3
ALY 6130 Risk Management for Analytics 3
PJM 6005 Project Scope Management 3
Statistical Modeling
ALY 6020 Predictive Analytics 3
ALY 6030 Data Warehousing and SQL 3
ALY 6040 Data Mining Applications 3
ALY 6110 Data Management and Big Data 3
ALY 6140 Python and Analytics Systems Technology 3
The Master of Professional Studies in Analytics helps to meet the demand from employers with a graduate program that provides students with an end-to-end analytics education through a core curriculum with integrated experiential learning opportunities. The program is designed to prepare students with a deep understanding of the mechanics of working with data (i.e., its collection, modeling, and structuring), along with the capacity to identify and communicate data-driven insights that ultimately influence decisions.
课程设置介绍：
International(Inside Canada): Aug19,2024 International(outside Canada):Mar 15,2024
Required Courses
Note: ITC 6000 is for students without prior educational or professional experience with data and database structures. Students who do not complete ITC 6000 must complete a third elective course to reach 45 quarter hours.
ALY 6000 Introduction to Analytics 3
ALY 6010 Probability Theory and Introductory Statistics 3
ALY 6015 Intermediate Analytics 3
ALY 6050 Introduction to Enterprise Analytics 3
ALY 6070 Communication and Visualization for Data Analytics 3
ITC 6000 Database Management Systems 3
Experiential Learning Course
ALY 6080 Integrated Experiential Learning 3
Experiential Capstone Course
ALY 6980 Capstone 3
The remaining quarter hours of the program may be completed by a combination of completing a concentration and additional electives or selecting any courses listed in the concentrations and elective list.
Concentrations
Applied Machine Intelligence
Evidence-Based Management
Statistical Modeling
Electives
ALY 6020 Predictive Analytics
ALY 6030 Data Warehousing and SQL
ALY 6060 Decision Support and Business Intelligence
ALY 6110 Data Management and Big Data
ALY 6120 Leadership in Analytics
ALY 6130 Risk Management for Analytics
ALY 6140 Python and Analytics Systems Technology
ALY 6150 Healthcare/Pharmaceutical Data and Applications
ALY 6160 Business Intelligence in Healthcare/Pharmaceutical
ALY 6983 Topics
CED 6230 Quantitative Methods
CMN 6005 Foundations of Professional Communication
COP 6940 Personal and Career Development
EAI 6000 Fundamentals of Artificial Intelligence
EAI 6010 Applications of Artificial Intelligence
EAI 6020 AI System Technologies
EAI 6400 Data Governance and Responsible AI
EDU 6184 Interdisciplinary Foundations
GIS 5201 Advanced Spatial Analysis
ITC 6020 Information Systems Design and Development
ITC 6045 Information Technology Policy, Ethics, and Social Responsibility
ITC 6310 Information Security Governance
LDR 6110 Leading Teams Strategically in a Global Environment
LDR 6135 Ethical Leadership
PJM 6015 Project Risk Management
PJM 6125 Project Evaluation and Assessment
PJM 6180 Project Stakeholder Management
Program Credit/GPA Requirements
45 total quarter hours required
Minimum 3.000 GPA required
Applied Machine Intelligence
ALY 6040 Data Mining Applications 3
ALY 6110 Data Management and Big Data 3
EAI 6000 Fundamentals of Artificial Intelligence 3
EAI 6010 Applications of Artificial Intelligence 3
EAI 6020 AI System Technologies 3
Evidence-Based Management
ALY 6040 Data Mining Applications 3
ALY 6060 Decision Support and Business Intelligence 3
ALY 6120 Leadership in Analytics 3
ALY 6130 Risk Management for Analytics 3
PJM 6005 Project Scope Management 3
Statistical Modeling
ALY 6020 Predictive Analytics 3
ALY 6030 Data Warehousing and SQL 3
ALY 6040 Data Mining Applications 3
ALY 6110 Data Management and Big Data 3
ALY 6140 Python and Analytics Systems Technology 3
