Database Design & Analytics

Program Overview

This data science program provides a comprehensive foundation in database systems, machine learning, optimization, statistics, and programming. Students will develop skills in data analysis, visualization, and strategy, preparing them for careers in fields such as business analysis, data marketing, economics, healthcare, operations research, and systems analysis.

Program Outline

Outline:

• Computer Databases - Provides a comprehensive understanding of database systems, data modeling, and data management.
• Machine Learning - Introduces students to the fundamental concepts and applications of machine learning algorithms, including supervised and unsupervised learning.
• Optimization - Covers optimization techniques for solving complex problems, including linear programming, nonlinear programming, and integer programming.
• Probability and Stochastic Models - Provides a solid foundation in probability theory and stochastic processes, essential for data analysis and decision-making.
• Programming - Develops proficiency in programming languages and software tools used in data science, such as Python, R, and SQL.
• Strategy - Integrates business knowledge and analytical skills to develop data-driven strategies for organizations.

Careers:

• Business Analyst - Analyze data to identify trends and provide insights for business decision-making.
• Data Marketing Manager - Use data to develop and execute marketing campaigns.
• Economist - Use data to analyze economic trends and forecast future outcomes.
• Healthcare Data Analyst - Analyze data to improve patient care and optimize healthcare operations.
• Operations Research Analyst - Use data to solve complex problems in operations management and logistics.
• Systems Analyst - Design and implement data-driven systems to improve organizational efficiency.