Graduate Certificate in Analytics and Information Management
Pittsburgh , United States
Tuition Fee
Start Date
Medium of studying
Duration
12 months
Program Facts
Program Details
Degree
Courses
Major
Data Analysis | Data Management | Information Management
Area of study
Information and Communication Technologies
Course Language
English
About Program
Program Overview
The Graduate Certificate in Analytics and Information Management equips working professionals with the skills to analyze data, identify trends, and develop data-driven insights for impactful business decisions. The program offers flexible learning options, industry-leading faculty, and collaborations with businesses and industry leaders. Graduates are prepared for careers in business analytics, data analysis, data science, market research, and consulting.
Program Outline
Degree Overview:
- Overview:
- The Graduate Certificate in Analytics and Information Management is designed for working professionals who aim to expand their knowledge in business analytics.
- This program equips individuals with the skills to analyze data, identify trends, and develop data-driven insights to make impactful business decisions.
- Objectives:
- To provide a solid foundation in data management, predictive analytics, behavioral analytics, and prescriptive analytics.
- To develop expertise in utilizing data analytics tools and techniques to extract meaningful insights.
- To enhance problem-solving abilities and critical thinking skills in the context of data analysis.
- Program Description:
- Consists of five courses totaling 15 credits.
- Offers flexible learning options with hybrid and online delivery modes.
- Allows students to complete the program in as little as one year.
- Features industry-leading faculty and collaborations with businesses and industry leaders.
Outline:
- Content:
- Data management and storage
- Statistical and predictive analytics
- Behavioral and prescriptive analytics
- Information systems management
- Data querying
- Applied statistics
- Structure:
- Five courses delivered in either hybrid or fully online format.
- Each course carries 3 credits, totaling 15 credits for the program.
- Course Schedule:
- Course offerings follow a hybrid and online format, allowing for flexibility.
- Courses are sequenced to build upon prior knowledge and skills.
- Modules:
- ISYS 610 - Analytics and Information Management: Provides a foundation in statistical and technical skills for data analytics, including programming concepts, descriptive, predictive, and prescriptive statistics, and data storage techniques.
- ISYS 611 - Information Systems Ecosystem: Focuses on managing information as a strategic asset, addressing topics such as information systems governance, data governance, and strategies for identifying measurable sources of ROI.
- ISYS 612 - Data Querying: Teaches students to retrieve, manipulate, and transform data using data retrieval and manipulation tools, including Structured Query Language (SQL).
- ISYS 620 - Predictive Analytics with Machine Learning: Explores concepts and algorithms in artificial intelligence with an emphasis on machine learning. Students learn to implement and apply machine learning techniques to solve business problems.
- ISYS 622 - Behavioral Analytics with Visualization: Examines how to analyze behavioral data, including social media content, to derive insights and support organizational decision-making. Covers advanced regression techniques, network concepts, and social theories.
Careers:
- The program prepares graduates for careers in:
- Business analytics
- Data analysis
- Data science
- Market research
- Consulting
- Graduates possess the skills to:
- Analyze large volumes of data
- Identify and communicate data-driven insights
- Develop and implement data-driven solutions
- Collaborate with cross-functional teams to drive data-driven decision-making
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