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Pace University

Course: MS Data Science

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Course Details

School: Pace University

Subject area: Data Science

Level: Master of Science (MS)

Degree duration: 2 years

Degree intake date(s): September, January

Annual tuition fee: $28,620 (Annual fee - total cost will be $57,240)

*Note: The fees quoted above are subject to change by the course provider and are for guidance only. If your application is successful, a detailed breakdown of fees will be provided with your offer.

Academic school: Seidenberg School of Computer Science and Information Systems (CSIS). This two-year Master of Science (MS) program in Data Science is STEM-classified, making graduates eligible for up to 3 years of Optional Practical Training (OPT) in the USA. Notably, 94% of Seidenberg master's degree graduates are employed, with an average full-time salary of $75,000 (according to Pace University Career Services). The program likely covers advanced topics in statistical modeling, machine learning, data mining, big data technologies, data visualization, and programming for data analysis, aiming to equip graduates with the skills to excel in the data science field.
Career options in high-demand roles such as data scientist, machine learning engineer, data analyst, big data engineer, business intelligence analyst, data architect, and research scientist across various industries, particularly benefiting from Pace's location in New York City. The STEM classification and OPT eligibility significantly enhance career opportunities for international graduates seeking employment in the US. The high employment rate and average salary of Seidenberg master's graduates further underscore the program's career focus.
Pace University in New York City offers exclusive career preparation and internship connections specifically for international students. Notably, Pace's international alumni salaries consistently exceed the US university average. The New York City Campus is strategically located in Lower Manhattan, providing close proximity to major financial (Wall Street) and technological hubs, offering significant networking and career opportunities in a global center. The Seidenberg School's strong employment statistics highlight its effectiveness in preparing graduates for the job market.
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