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State University of New York at Plattsburgh

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New York

United States

The Master of Science in Data Analytics program at the State University of New York at Plattsburgh is meticulously designed to equip students with the vital skills and knowledge necessary to excel in the expansive field of data analytics. This program emphasizes a fusion of theoretical principles and practical applications, providing students with a comprehensive understanding of data science. Within this program, students delve into data management, statistical analysis, and the use of advanced analytical tools to extract meaningful insights from complex datasets. As the demand for data professionals continues to surge, this program prepares graduates to take on challenging roles in various industries, including healthcare, finance, marketing, and technology.

One of the standout features of the Master of Science in Data Analytics program is its robust curriculum, which encompasses a wide array of core and elective courses. Students will engage with courses such as Statistical Methods for Data Analysis, Machine Learning and Predictive Analytics, and Data Visualization Techniques, among others. Through these courses, students acquire essential skills in data manipulation, interpretation, and visualization, which are crucial for making data-driven decisions. Furthermore, students will have the opportunity to work with real-world datasets, enabling them to apply theoretical concepts in practical scenarios, enhancing their learning experience.

The faculty at the State University of New York at Plattsburgh is comprised of distinguished experts in the field of data analytics, each bringing a wealth of knowledge and real-world experience to the classroom. With a focus on student engagement and personalized learning, faculty members utilize innovative teaching methodologies that encourage critical thinking and collaboration. The faculty’s commitment to mentorship allows students to benefit from their expertise, offering guidance on research projects and career development. This supportive learning environment fosters not only academic success but also personal growth, preparing students for the challenges in the data analytics landscape.

The program also offers numerous research opportunities, allowing students to engage in cutting-edge projects that contribute to the evolving landscape of data analytics. Students can collaborate with faculty on various research initiatives, including data-driven solutions for social issues, predictive modeling, and algorithm development. State-of-the-art facilities and laboratories provide the necessary resources for students to conduct their research effectively. Additionally, access to comprehensive databases and analytical software ensures that students are well-prepared to tackle real-world problems using sophisticated analytical techniques.

Industry connections and internship opportunities play a pivotal role in the Master of Science in Data Analytics program. The university maintains strong partnerships with local businesses and organizations, facilitating internships that provide students with invaluable work experience. These opportunities not only enhance students' resumes but also allow them to network with industry professionals, gaining insights into potential career pathways. The university's career center offers dedicated support for job placement, providing students with personalized assistance to help them navigate the job market successfully.

Upon completing the Master of Science in Data Analytics, graduates are well-positioned for a wide range of career pathways. Job roles include data analyst, data scientist, business intelligence analyst, and quantitative analyst, among others. The program’s comprehensive curriculum, combined with hands-on experience, ensures that graduates possess the skills necessary to meet industry demands. Alumni of the program have gone on to achieve significant success in their respective fields, often securing positions with renowned organizations. Their success stories serve as a testament to the program's quality and the strong foundation it provides for a thriving career in data analytics.

Unique features of the program further distinguish it from other offerings in the region. The State University of New York at Plattsburgh prides itself on its inclusive and diverse student body, fostering a vibrant learning community. The multicultural environment enriches the educational experience, allowing students to gain varied perspectives that are crucial in the globalized field of data analytics. Moreover, the program is designed to support international students throughout their academic journey, ensuring they have the necessary resources and support to thrive.

To be eligible for the Master of Science in Data Analytics program, applicants must meet specific requirements. Generally, candidates should possess a bachelor's degree from an accredited institution, preferably in a related field such as computer science, mathematics, or statistics. Furthermore, proficiency in English is essential, with standardized test scores from recognized tests such as the IELTS, PTE, or TOEFL required for non-native English speakers. For example, the IELTS requires a minimum score of 6.5, while the TOEFL requires a score of at least 76.

In summary, the Master of Science in Data Analytics at the State University of New York at Plattsburgh is an exceptional program that offers a blend of theoretical knowledge and practical experience. With a focus on research, industry connections, and a supportive learning environment, students are well-prepared to embark on successful careers in data analytics.

Why Study Data Analytics at State University of New York at Plattsburgh?

  • A top-tier program recognized for its excellence in data science education.
  • Hands-on learning through practical projects, labs, and internships with reputable companies.
  • Diverse and inclusive community, promoting unique perspectives in data analysis.
  • Expert faculty committed to mentoring students and fostering research opportunities.
  • High graduate employability rate with strong alumni network and placement support.
intake

Duration

11 Months

Class Profile

Diversity

International:

10%

Others:

20%

New York:

45%

Massachusetts:

10%

Vermont:

15%

Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    53

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  • TOEFL

    76

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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.

intake

Application Fee: 75

      Application Deadlines

      Standard Deadline
      SummerFeb 1, 2024

      Fees and Funding

      intake

      Tuition Fees

      $34,650 / year

      FAQs

      • To be eligible for the Master of Science in Data Analytics program, applicants must meet specific requirements:

        1. Candidates should possess a bachelor's degree from an accredited institution, preferably in a related field such as computer science, mathematics, or statistics.
        2. Proficiency in English is essential. Non-native English speakers must provide standardized test scores from recognized tests such as the IELTS, PTE, or TOEFL. For example, the IELTS requires a minimum score of 6.5, while the TOEFL requires a score of at least 76.
      • The curriculum of the Master of Science in Data Analytics program is robust and encompasses a wide array of core and elective courses. Key courses include:

        • Statistical Methods for Data Analysis
        • Machine Learning and Predictive Analytics
        • Data Visualization Techniques

        Through these courses, students acquire essential skills in data manipulation, interpretation, and visualization, which are crucial for making data-driven decisions. Additionally, students will work with real-world datasets to apply theoretical concepts in practical scenarios, enhancing their learning experience.

      • The faculty at the State University of New York at Plattsburgh employs innovative teaching methodologies that focus on student engagement and personalized learning. These methods encourage:

        • Critical thinking
        • Collaboration among students

        Faculty members also commit to mentorship, guiding students on research projects and career development, which fosters a supportive learning environment that promotes both academic success and personal growth.

      • The Master of Science in Data Analytics program at the State University of New York at Plattsburgh is distinguished by several unique features:

        • A top-tier program recognized for its excellence in data science education.
        • Hands-on learning through practical projects, labs, and internships with reputable companies.
        • A diverse and inclusive community that promotes unique perspectives in data analysis.
        • Expert faculty committed to mentoring students and fostering research opportunities.
        • A high graduate employability rate, supported by a strong alumni network and placement assistance.
      • The program offers numerous research opportunities that allow students to engage in cutting-edge projects contributing to the evolving landscape of data analytics. Students can collaborate with faculty on various research initiatives, such as:

        • Data-driven solutions for social issues
        • Predictive modeling
        • Algorithm development

        State-of-the-art facilities and laboratories are available, providing the necessary resources for students to conduct their research effectively. Comprehensive databases and analytical software ensure students are well-prepared to tackle real-world problems using sophisticated analytical techniques.

      • Upon completing the Master of Science in Data Analytics, graduates are well-positioned for a wide range of career pathways, including:

        • Data Analyst
        • Data Scientist
        • Business Intelligence Analyst
        • Quantitative Analyst

        The program’s comprehensive curriculum, combined with hands-on experience, ensures that graduates possess the skills necessary to meet industry demands. Alumni have achieved significant success in their respective fields, often securing positions with renowned organizations, highlighting the program's quality and strong foundation for a thriving career in data analytics.

      • Industry connections and internship opportunities play a pivotal role in the Master of Science in Data Analytics program. The university maintains strong partnerships with local businesses and organizations that facilitate internships, providing students with invaluable work experience. These opportunities allow students to:

        • Enhance their resumes
        • Network with industry professionals
        • Gain insights into potential career pathways

        Additionally, the university's career center offers dedicated support for job placement, providing personalized assistance to help students navigate the job market successfully.

      • The learning environment in the Master of Science in Data Analytics program is characterized by a supportive atmosphere fostered by the faculty's commitment to mentorship and engagement. Faculty members bring a wealth of knowledge and real-world experience to the classroom, focusing on:

        • Student engagement
        • Personalized learning

        This nurturing environment not only helps students achieve academic success but also encourages personal growth, preparing them for the challenges in the data analytics landscape.

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