M.S. in Data Science

New York

 

INTAKE: Jan & Aug

Program Overview

Hofstra University's M.S. in Data Science is a cutting-edge program designed to equip students with the knowledge and skills needed to thrive in the dynamic field of data science. This comprehensive program covers a wide array of topics, including data analysis, machine learning, statistical modeling, and data visualization. The curriculum is structured to provide a solid foundation in both theoretical concepts and practical applications of data science, ensuring that graduates are well-prepared to tackle complex data challenges in various industries. Hofstra University's M.S. in Data Science stands out as a program that not only imparts theoretical knowledge but also emphasizes hands-on experience and practical applications. The combination of a comprehensive curriculum, interdisciplinary approach, practical projects, expert faculty, and networking opportunities positions graduates for success in the rapidly evolving and in-demand field of data science.

Curriculum:

  1. Comprehensive Curriculum: The program offers a well-rounded curriculum covering key aspects of data science, including data exploration, statistical analysis, machine learning algorithms, and big data technologies. Students gain hands-on experience with industry-standard tools and techniques used in data-driven decision-making.

  2. Interdisciplinary Approach: Recognizing the interdisciplinary nature of data science, the program integrates concepts from computer science, statistics, and business analytics. This holistic approach ensures that graduates are equipped with a diverse skill set, making them versatile professionals in the data science landscape.

  3. Practical Projects and Internships: The curriculum emphasizes practical learning through real-world projects and potential internships. Students have the opportunity to apply their skills to solve industry-relevant problems, gaining valuable experience and building a robust portfolio that enhances their employability.

  4. Expert Faculty: The program is led by a team of experienced faculty members who are experts in the field of data science. With a blend of academic knowledge and industry experience, these professors guide students through the latest advancements in the field and provide mentorship for research or career aspirations.

  5. Networking Opportunities: Students benefit from networking opportunities with industry professionals, alumni, and guest speakers through workshops, seminars, and networking events. These connections offer valuable insights into industry trends, potential job opportunities, and practical advice for success in the competitive field of data science.

Pollster Education

Location

New York

Pollster Education

Score

IELTS: 6.5

Pollster Education

Tuition Fee

USD 30860

Entry Requirements for International Students at Hofstra University

Application Fees : US $75

  1. Academic Qualifications: For admission to postgraduate programs at Hofstra University, international students need to hold a bachelor's degree or its equivalent from a recognized institution. The university may specify certain academic requirements based on the program of interest.

  2. Minimum GPA Requirement: A common entry requirement for postgraduate programs at Hofstra University is a minimum GPA (Grade Point Average) of 65% or above. 

  3. English Language Proficiency: 

    • IELTS: An overall score of 6.5 with no individual band score less than 6.
    • DET (Duolingo English Test): A minimum score of 120.
    • PTE (Pearson Test of English): A score of 53 or higher.
    • TOEFL iBT: A minimum overall score of 80.

Scholarships for International Students at Hofstra University

  1. Global Scholars Program: The Global Scholars Program at Hofstra University is designed to recognize and support outstanding international students who demonstrate academic excellence, leadership skills, and a commitment to making a positive impact in their communities. The scholarship covers a significant portion of tuition costs.

  2. International Student Scholarship: Hofstra University may offer merit-based scholarships to international students based on their academic achievements and potential. These scholarships aim to attract and reward students who have demonstrated exceptional academic performance.

  3. Phi Theta Kappa Scholarship: International transfer students who are members of the Phi Theta Kappa Honor Society may be eligible for a special scholarship at Hofstra University. This scholarship recognizes the achievements of transfer students who have excelled in their previous academic pursuits.

  4. Graduate Assistantships: Graduate students at Hofstra University may have the opportunity to apply for graduate assistantships. These positions often involve working with faculty members or departments while receiving a stipend or tuition reduction. Graduate assistantships provide valuable professional experience alongside financial support.

  5. Endowed Scholarships: Hofstra University has various endowed scholarships that international students can apply for. These scholarships may be specific to certain academic disciplines, extracurricular achievements, or other criteria. Students are encouraged to explore the specific eligibility requirements for each endowed scholarship.

  6. International Student Work Opportunities: While not a traditional scholarship, Hofstra University provides international students with opportunities for on-campus employment through the International Student Affairs Office. These work opportunities can help students gain valuable work experience while earning income to support their education.

  7. Hofstra Cultural Ambassador Scholarship: The Cultural Ambassador Scholarship is designed to recognize students who actively contribute to promoting cultural understanding and diversity on campus. Recipients of this scholarship may be involved in organizing cultural events, participating in international clubs, or engaging in activities that foster a global community at Hofstra.

  8. Athletic Scholarships: International students with exceptional athletic talents may be eligible for athletic scholarships offered by Hofstra University. These scholarships are typically awarded to student-athletes who demonstrate outstanding skills and contribute to the university's athletic programs.

  9. External Scholarships: Hofstra University encourages international students to explore external scholarship opportunities, including those offered by government agencies, private organizations, and foundations. The International Student Affairs Office may provide guidance on external scholarship options.

  10. Need-Based Financial Aid: In addition to merit-based scholarships, Hofstra University may provide need-based financial aid to international students. The university's financial aid office can assist students in determining their eligibility for various financial aid programs.

Hofstra University's M.S. in Data Science opens doors to a myriad of exciting career prospects in a world increasingly reliant on data-driven decision-making. Graduates of this program are equipped with a diverse skill set that positions them as valuable assets in various industries. Hofstra University's M.S. in Data Science prepares graduates for a wide array of career paths, providing them with the skills and knowledge needed to thrive in a data-centric world. The program's emphasis on practical applications, interdisciplinary learning, and networking opportunities positions graduates for success in a variety of industries.

  1. Data Scientist: With expertise in statistical analysis, machine learning, and data visualization, graduates can pursue roles as data scientists. They work to extract meaningful insights from large datasets, helping organizations make informed decisions and solve complex problems.

  2. Business Intelligence Analyst: In this role, professionals utilize their data analysis skills to provide actionable insights for business strategy. They collaborate with stakeholders to identify key performance indicators, track business metrics, and support data-driven decision-making processes.

  3. Machine Learning Engineer: Graduates can specialize in machine learning engineering, developing algorithms and models that enable systems to learn and improve without explicit programming. This role is crucial in fields such as artificial intelligence, automation, and predictive analytics.

  4. Data Engineer: Data engineers focus on the design and construction of systems for collecting, storing, and analyzing data. They play a vital role in building and maintaining the infrastructure that enables organizations to handle large volumes of data efficiently.

  5. Quantitative Analyst: In finance and investment industries, graduates can work as quantitative analysts, using statistical models and mathematical techniques to assess financial risks, optimize investment portfolios, and inform investment strategies.

  6. Healthcare Data Analyst: The healthcare sector increasingly relies on data for decision-making. Graduates can contribute to healthcare analytics, analyzing patient data, optimizing hospital operations, and improving overall healthcare delivery.

  7. Cybersecurity Analyst: With a focus on data protection, graduates can work in cybersecurity, analyzing patterns and anomalies in network traffic to detect and prevent cyber threats. They play a crucial role in safeguarding organizations against data breaches and cyberattacks.

  8. Marketing Analyst: In the realm of marketing, data-driven insights are essential for effective campaigns. Graduates can work as marketing analysts, utilizing data to understand consumer behavior, optimize marketing strategies, and measure the success of campaigns.

  9. Research Scientist: Those inclined towards research can pursue roles as research scientists, contributing to advancements in data science, machine learning, and artificial intelligence. This may involve working in academia, research institutions, or industry research and development.

  10. Consultant or Entrepreneur: Armed with data science expertise, graduates can become consultants, advising organizations on how to leverage data for business growth. Alternatively, they may choose to venture into entrepreneurship, creating startups that offer data-driven solutions or products.


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