
City University of New York

New York
,United States

Program Name
Master of Science in Data Science

Deadline
November 01st, 2023
Overview

The Master of Science in Data Science at the City University of New York (CUNY) is an exceptional program designed to equip students with comprehensive knowledge and practical skills in the rapidly evolving field of data science and business intelligence. This program is carefully structured to blend theoretical foundations with hands-on experience, ensuring that graduates not only understand the core principles of data science but are also prepared to tackle real-world challenges using advanced analytical tools and techniques. As data-driven decision-making becomes increasingly critical across industries, this degree positions students for success in various sectors, including technology, finance, healthcare, and consulting.
The curriculum encompasses a wide array of specialized courses that cover essential topics, including machine learning, data mining, statistical analysis, data visualization, and big data analytics. Students will delve into courses such as Data Programming in Python, which teaches the essentials of programming for data analysis, and Machine Learning, where students will learn to develop algorithms that enable computers to learn from and make predictions based on data. The program also emphasizes Business Intelligence, equipping students with the skills needed to transform raw data into actionable insights, a vital capability for modern businesses aiming to maintain competitive advantage.
CUNY prides itself on its faculty, comprised of distinguished scholars and industry leaders who bring a wealth of expertise and experience to the classroom. Instructors employ innovative teaching methodologies that encourage critical thinking and collaborative learning, fostering an environment where students can thrive. Additionally, faculty members are actively engaged in cutting-edge research, providing students with opportunities to participate in projects that tackle pressing societal challenges through data-driven insights. This hands-on research experience not only enhances learning but also significantly boosts employability upon graduation.
Moreover, the program emphasizes connection with industry through partnerships with leading organizations and companies. Students have access to a robust network of connections that can facilitate internships and job placements. The dedicated career services team at CUNY assists students in navigating the job market, providing resources such as resume workshops, interview preparation, and networking events. This commitment to career advancement enhances the overall value of the degree, ensuring that graduates are well-prepared for a variety of roles such as data analyst, data scientist, business intelligence analyst, and more.
In addition to these academic and professional advantages, the Master of Science in Data Science program boasts a vibrant alumni network. Graduates of the program have gone on to achieve remarkable success in their careers, often attributing their accomplishments to the solid foundation built during their studies at CUNY. Alumni frequently share testimonials highlighting how the program's rigorous academic environment and practical training have directly contributed to their professional growth and success.
Unique features of the program include state-of-the-art facilities equipped for data analysis, collaborative projects that promote teamwork and innovation, and a curriculum that stays current with emerging trends in technology and data science. These aspects not only enhance the educational experience but also prepare students to adapt to the fast-paced and ever-changing landscape of data analytics.
For prospective students, the program has clear eligibility criteria, which include a completed bachelor’s degree and proficiency in quantitative reasoning. While specific standardized test scores are not explicitly required, prospective students may enhance their applications with relevant work experience or prior coursework in mathematics or statistics. The application process involves submitting a completed application form, a $75 application fee, and any required documentation outlined on the official admissions page.
In summary, the Master of Science in Data Science program at the City University of New York offers an unparalleled educational experience for those seeking to thrive in the data-driven world. With its rigorous curriculum, expert faculty, strong industry connections, and emphasis on practical application, students are well-equipped to launch successful careers in this dynamic field.
Why Study Data Science at City University of New York
- A popular choice for international students with a diverse community, fostering a global perspective.
- Learn from top-tier faculty members who are leaders in their field and gain opportunities to assist in their research.
- Access to cutting-edge labs and technology that facilitate in-depth research and hands-on experience.
- Comprehensive career services and strong placement programs that enhance job readiness and employment outcomes.

Duration
18 Months
Class Profile
Diversity
Others:
25%New York:
40%Connecticut:
10%Pennsylvania:
5%New Jersey:
20%Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 75
Application Deadlines
Standard Deadline | |
---|---|
Spring | Nov 1, 2023 |
Fees and Funding

Tuition Fees
$17,100 / year
FAQs
- Admissions Requirements:
To be eligible for the Master of Science in Data Science program at CUNY, prospective students must meet the following criteria:
- A completed bachelor’s degree.
- Proficiency in quantitative reasoning.
While specific standardized test scores are not explicitly required, applicants are encouraged to strengthen their applications by including relevant work experience or prior coursework in mathematics or statistics.
The application process involves:
- Submitting a completed application form.
- Paying a $75 application fee.
- Providing any documentation specified on the official admissions page.
- Program Structure:
The curriculum for the Master of Science in Data Science program is designed to provide a comprehensive education in data science and business intelligence. It includes a variety of specialized courses covering essential topics such as:
- Machine Learning
- Data Mining
- Statistical Analysis
- Data Visualization
- Big Data Analytics
Key courses within the program include:
- Data Programming in Python: Focused on programming essentials for data analysis.
- Machine Learning: Concentrating on developing algorithms for predictive analysis.
The structure effectively blends theoretical foundations with hands-on experience, preparing students to apply their knowledge in real-world scenarios.
- Career Prospects:
Graduates of the Master of Science in Data Science program are well-prepared to enter various sectors, including:
- Technology
- Finance
- Healthcare
- Consulting
Typical roles for graduates include:
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
With the emphasis on practical application and the strong connections to industry, graduates are positioned for success in an increasingly data-driven job market.
- Teaching Methods:
The program at CUNY prides itself on its distinguished faculty, which includes scholars and industry leaders. The teaching methodologies employed are innovative and focus on:
- Encouraging critical thinking.
- Promoting collaborative learning.
Additionally, faculty members are engaged in cutting-edge research, allowing students to participate in real-world projects that address significant societal challenges. This hands-on research experience enhances learning outcomes and employability.
- Unique Features:
The Master of Science in Data Science program at CUNY includes several unique aspects that enhance the educational experience:
- State-of-the-art facilities equipped for data analysis.
- Collaborative projects that foster teamwork and innovation.
- A curriculum that remains current with emerging trends in technology and data science.
These elements ensure that students are not only gaining knowledge but are also prepared to adapt to the fast-paced changes in the data analytics landscape.
- Career Advancement:
CUNY offers robust resources to support the career advancement of its students, including:
- Strong partnerships with leading organizations for internships and job placements.
- A dedicated career services team that assists students in navigating the job market.
- Resources such as resume workshops, interview preparation, and networking events.
This comprehensive approach enhances students' job readiness and improves overall employment outcomes upon graduation.
- Alumni Network Support:
The Master of Science in Data Science program boasts a vibrant alumni network that plays a significant role in supporting graduates. Alumni often share testimonials about their career successes, attributing their achievements to the strong foundation they built during their studies at CUNY. This network can provide:
- Mentorship opportunities.
- Networking connections in various industries.
- Insights into job market trends and opportunities.
Overall, the alumni network contributes to the long-term success of graduates.
- Reasons to Choose CUNY:
Choosing to study the Master of Science in Data Science program at CUNY comes with several compelling advantages:
- A diverse community that fosters a global perspective, making it a popular choice for international students.
- Learning from top-tier faculty who are leaders in their field, with opportunities to assist in their research.
- Access to cutting-edge labs and technology that facilitate in-depth research and hands-on experience.
- Comprehensive career services and strong placement programs that enhance job readiness and employment outcomes.
These factors collectively contribute to a rich educational experience and better career prospects for students.
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