Bachelor of Professional Studies in Applied Data and Predictive Analytics
Syracuse , United States
Tuition Fee
Start Date
2025-03-01
Medium of studying
Fully Online
Duration
Program Facts
Program Details
Degree
Bachelors
Major
Data Analysis | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
Fully Online
Course Language
English
Intakes
Program start date | Application deadline |
2024-06-01 | - |
2024-09-01 | - |
2024-12-01 | - |
2025-03-01 | - |
2025-06-01 | - |
2025-09-01 | - |
About Program
Program Overview
The Applied Data and Predictive Analytics BPS degree prepares students to analyze and interpret complex data, deriving actionable insights to inform business decisions. The curriculum emphasizes the intersection of computer science, management, and business intelligence, equipping graduates for careers in fields such as marketing, management, software development, and data science.
Program Outline
Degree Overview:
- The Applied Data and Predictive Analytics degree program is offered as a Bachelor of Professional Studies (BPS) undergraduate degree, requiring the completion of 120 credits.
- The program prepares students to analyze and interpret complex data, deriving actionable insights to inform business decisions.
- It emphasizes the intersection of computer science, management, and business intelligence.
Outline:
- The curriculum includes courses in information systems, quantitative and qualitative analysis, data graphics and visualization.
- Students learn to extract insights from various data sources, identify opportunities, and make predictions based on data analysis.
- Sample courses in the program include:
- IST 414 Data Driven Inquiry
- IST 407 Data Mining
- IST 421 Information Visualization
- PPM 325 Project Communications and Stakeholder Management
- KNM 310 Knowledge Capture and Codification
- IST 343 Data in Society
Careers:
- Graduates of the program can pursue careers in fields such as:
- Marketing Manager
- Management Analyst
- Business Analyst
- Software Developer
- Project/Product Manager
- Market Research Analyst
- Data Scientist
- Data Engineer
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