Program start date | Application deadline |
2024-09-04 | - |
Program Overview
Pace University's online MS in Data Science equips professionals with advanced quantitative skills for solving complex technical problems. The program's flexible format allows for full-time or part-time study, and its STEM designation highlights its focus on science, technology, engineering, and math. Graduates are prepared for high-demand data-driven roles with a projected 19% job growth rate and an average salary of $117,100.
Program Outline
Degree Overview:
The online MS in Data Science program at Pace University's Seidenberg School of Computer Science and Information Systems is designed to equip professionals with the advanced quantitative skills needed to address complex technical problems in an unpredictable world. The program aims to prepare students to launch or advance their careers in driving innovation with advanced quantitative methods and best practices for data governance. The curriculum focuses on providing a rigorous knowledge base and hands-on experience, essential for data scientists. Students learn to harness analysis, visualization, and machine learning to achieve organizational goals, meeting the growing demand for professionals in this field. The program is 100% online and flexible, offering the option to take courses full-time or part-time. Part-time students can complete the program in two years, while full-time students can finish in a little over one year.
Teaching:
The program features recorded lectures and live interactions with faculty members who are recognized researchers in fields such as artificial intelligence, software development, cybersecurity, machine learning, robotics, and computer vision. Faculty bring groundbreaking insights into the virtual classroom, ensuring students are prepared to tackle emerging challenges in the data science field. Students benefit from the opportunity to connect and collaborate with industry experts in New York City, a hub for international business.
Careers:
Graduates from the online Master's in Data Science program are equipped for various data-driven roles, including:
- Data Scientist
- Data Analyst
- Database Architect
- Quantitative Analyst
- Data Engineer
- Machine Learning Engineer
- Business Analyst
- Software Engineer
- Network Architect The program's STEM designation highlights its focus on science, technology, engineering, and math, leading to rewarding career opportunities. The U.S. Bureau of Labor Statistics projects a 19% increase in data science jobs between 2020 and 2030, significantly faster than the average growth rate for all occupations. A McKinsey Global Institute report predicts a potential shortage of 250,000 data scientists in the US alone by 2024. The average salary offered for data scientists with a master's degree is $117,100, with higher salaries associated with expertise in data engineering, predictive modeling, and analytics software. Top employers for data science professionals include technical service providers, finance and insurance companies, healthcare organizations, manufacturers, and the information sector.
Other:
The program is STEM-designated, indicating its focus on science, technology, engineering, and math.
Entry Requirements:
- Bachelor’s degree in any field, with proficiency in calculus, linear algebra, some knowledge of probability and statistics, and some experience in programming and databases*
- Minimum GPA of 3.0 preferred
- Students without the required background in programming and databases will be required to satisfy the prerequisite level of knowledge by completing online bridge courses in Database Management Systems and Python Programming once enrolled.