Masters in Data Science

The Masters in Data Science program at the Charles V. Schaefer, Jr. School of Engineering and Science at Stevens Institute of Technology is designed to equip students with the essential skills necessary to thrive in the rapidly evolving field of data science. The program spans 18 months, with intakes available in both the Spring and Fall semesters, allowing flexibility for prospective students. With a median base salary of $110,000, graduates emerge prepared to enter high-demand roles across various industries. The curriculum focuses on both theoretical foundations and practical applications, ensuring that students are well-versed in the latest technologies, methodologies, and tools used in data analysis and machine learning.

The program's curriculum is comprehensive, covering a range of topics critical to data science. Students will delve into courses such as Statistical Methods for Data Science, Machine Learning, Big Data Technologies, and Data Visualization. Each course is taught by faculty members who are not only experts in their fields but also bring a wealth of industry experience to the classroom. This blend of academic rigor and real-world insight ensures that students not only grasp complex concepts but also understand their application in practical settings, making them job-ready upon graduation.

Moreover, Stevens Institute of Technology prides itself on its faculty, comprised of leading researchers and industry practitioners. This dedicated team employs innovative teaching methodologies that emphasize hands-on learning, collaborative projects, and interactive discussions. Faculty members are committed to fostering a dynamic learning environment where students can apply their knowledge to real-world problems, encouraging critical thinking and collaboration among peers.

In addition to a robust curriculum and expert faculty, the Masters in Data Science program offers extensive research opportunities. Students have access to state-of-the-art resources and laboratories where they can engage in cutting-edge research projects. This experiential learning is further enhanced by the university’s strong ties with industry leaders, providing students with invaluable connections and internship opportunities. These relationships not only enrich the educational experience but also pave the way for lucrative career paths post-graduation.

The career outcomes for graduates of the program are exceptionally promising. With a graduation rate of 88%, students find themselves well-equipped for various roles, including Research Data Scientist, Clinical Data Analyst, Marketing Data Analyst, and more. The program prepares students to tackle the challenges of data analytics across sectors such as healthcare, finance, and technology, ensuring they are well-prepared to meet the demands of the market. Notably, the average base salary for graduates stands at $100,000, reflecting the high value placed on data science skills in today's job landscape.

Why Study Masters in Data Science at Stevens Institute of Technology

• Comprehensive Curriculum: The program covers essential topics including machine learning, data visualization, and statistical methods, ensuring a well-rounded education.
• Expert Faculty: Learn from distinguished faculty members with extensive industry experience, providing practical insights alongside theoretical knowledge.
• Research Opportunities: Engage in hands-on research projects utilizing cutting-edge technologies in the university's modern facilities.
• Industry Connections: Benefit from strong relationships with leading companies, offering access to internships and job placements that enhance career readiness.
• Strong Career Outcomes: Graduates enjoy excellent job prospects, with average starting salaries around $100,000 and roles in diverse sectors.

To apply for the Masters in Data Science program, candidates must meet specific eligibility criteria. A minimum GPA of 3.0 on a 4.0 scale is expected from undergraduate studies. Additionally, proficiency in English is required, with a minimum IELTS score of 6.5 or equivalent scores in other accepted tests such as TOEFL and Duolingo. The application process includes submission of a transcript, statement of purpose, resume, and letters of recommendation, among other documents.

The application deadline for the Spring intake is November 1, 2024, while the Fall deadline is April 15, 2025. Students interested in applying should prepare their materials well in advance to ensure a complete and competitive application. The application fee is $60, a nominal investment towards an enriching educational journey.

In summary, the Masters in Data Science at Stevens Institute of Technology stands out not only for its academic rigor and faculty expertise but also for its commitment to student success and career readiness. With a well-structured curriculum, access to extensive research resources, and strong industry connections, students are positioned to thrive in the dynamic field of data science. This program is ideal for individuals seeking to make a significant impact through data-driven insights and solutions.