M.S. in Data Science

Madison, New Jersey

 

INTAKE: Jan & Aug

Program Overview

The Master of Science (M.S.) in Data Science program at Drew University is a cutting-edge and STEM-designated initiative designed to meet the growing demand for skilled professionals in the field of data analytics and decision science. This program equips students with a robust foundation in statistical analysis, machine learning, data visualization, and ethical considerations in data management. The M.S. in Data Science program at Drew University offers a comprehensive and STEM-designated education in the field of data science. Its interdisciplinary approach, hands-on learning experiences, focus on industry-relevant tools, and commitment to professional development position graduates as well-rounded data science professionals ready to make meaningful contributions in an increasingly data-driven world.

Curriculum:

  1. STEM-Designated Curriculum: The M.S. in Data Science program at Drew University holds a STEM (Science, Technology, Engineering, and Mathematics) designation, highlighting its emphasis on quantitative skills and technological proficiency. This designation not only reflects the program's academic rigor but also positions graduates favorably for employment opportunities requiring a strong foundation in STEM-related disciplines.

  2. Interdisciplinary Approach: Recognizing the interdisciplinary nature of data science, the program integrates concepts from computer science, mathematics, and business analytics. Students engage in a curriculum that explores the ethical implications of data usage, ensuring a holistic understanding of data science's impact on various industries.

  3. Hands-On Learning and Research: The program places a strong emphasis on experiential learning through hands-on projects and research initiatives. Students have the opportunity to work with real-world datasets, solving complex problems and gaining practical skills that are directly applicable in professional settings. Faculty mentorship plays a crucial role in guiding students through research endeavors.

  4. Industry-Relevant Tools and Technologies: Keeping pace with industry demands, the curriculum introduces students to a variety of tools and technologies commonly used in the field of data science. This includes programming languages like Python and R, data visualization tools, and platforms for machine learning and artificial intelligence. Students graduate with practical proficiency in the tools shaping the data science landscape.

  5. Capstone Project and Professional Development: The program culminates in a capstone project where students apply their acquired skills to solve a significant real-world problem. This project serves as a portfolio piece, showcasing students' abilities to prospective employers. Additionally, the program prioritizes professional development by providing opportunities for networking, internships, and interactions with industry professionals.

Pollster Education

Location

Madison, New Jersey

Pollster Education

Score

IELTS: 6.5

Pollster Education

Tuition Fee

USD 40830

Postgraduate entry requirements

Academic Requirements:

  • GPA (Grade Point Average): Prospective postgraduate students are required to demonstrate a satisfactory academic record, with a minimum GPA of 2.50 falling within the range of 75% to 80%. This criterion reflects the university's commitment to admitting students with a solid foundation in their chosen fields.

English Language Proficiency:

  • IELTS (International English Language Testing System): A minimum overall score of 6.5, no band score should be less than 6.  

  • TOEFL iBT (Test of English as a Foreign Language - Internet-Based Test): Drew University sets a minimum TOEFL iBT score of 80.

  • DET (Duolingo English Test): The DET requirement for postgraduate admission is set at 105.

Drew University recognizes the importance of fostering a diverse and inclusive learning environment, and to further this commitment, the university provides various scholarship opportunities specifically tailored for international students. These scholarships aim to support and encourage outstanding individuals from around the world to pursue their academic aspirations at Drew.

Presidential Scholarships for International Students: Drew University offers prestigious Presidential Scholarships, which are merit-based and available to international students who demonstrate exceptional academic achievements. These scholarships are highly competitive and are designed to recognize and reward outstanding scholastic accomplishments.

Baldwin Honors Scholarships: International students with a strong academic record and a commitment to leadership and community engagement may be eligible for the Baldwin Honors Scholarships. These scholarships not only provide financial support but also emphasize the importance of contributing to the Drew community.

Drew International Merit Scholarships: Drew University extends its commitment to global education by offering International Merit Scholarships. These scholarships are merit-based and aim to attract high-achieving international students who bring unique perspectives to the campus community.

Need-Based Financial Aid: Recognizing the diverse financial needs of international students, Drew University also provides need-based financial aid. This ensures that students with demonstrated financial need have the opportunity to access a Drew education irrespective of their economic circumstances.

Community College Partnership Scholarships: Drew University collaborates with select international community colleges, offering transfer students the opportunity to apply for exclusive scholarships. This initiative aims to facilitate a seamless transition to Drew for international students pursuing higher education.

Global Engagement Scholarship: For international students who actively contribute to promoting global awareness and engagement on campus, Drew University offers the Global Engagement Scholarship. This scholarship recognizes students who play a pivotal role in fostering cross-cultural understanding.

Application-Based Scholarships: Drew University provides various application-based scholarships for international students. These scholarships may require students to submit additional materials, essays, or portfolios showcasing their achievements, talents, or community involvement.

International Student Work-Study Opportunities: In addition to scholarships, Drew University recognizes the value of work-study opportunities for international students. These programs enable students to gain valuable work experience while contributing to their financial support.

Full-Tuition Scholarships for Exceptional Achievements: Drew University reserves a limited number of full-tuition scholarships for international students who exhibit extraordinary academic achievements, leadership qualities, and a commitment to making a positive impact in their respective fields.

Continuing Student Scholarships: Drew University is dedicated to supporting international students throughout their academic journey. As a result, continuing student scholarships are available for those who maintain high academic standards and contribute significantly to the university community.

The Master of Science (M.S.) in Data Science program at Drew University equips graduates with a skill set that is highly sought after in today's data-driven world. The comprehensive curriculum and hands-on learning experiences prepare students for diverse and rewarding career paths in the field of data science. Drew University's commitment to providing a STEM-designated and interdisciplinary education in data science enhances graduates' employability and opens doors to a wide array of career opportunities. The program's alumni are well-positioned to make significant contributions in industries at the forefront of the data revolution.

  1. Data Scientist/Analyst Roles: Graduates of the M.S. in Data Science program are well-prepared to take on roles as data scientists or analysts. These professionals use their expertise to analyze large datasets, extract meaningful insights, and inform strategic decision-making within organizations. They may work in various industries such as finance, healthcare, e-commerce, and technology.

  2. Machine Learning Engineer: With a strong foundation in machine learning algorithms and techniques, program alumni are positioned for roles as machine learning engineers. These professionals design, build, and deploy machine learning models to automate processes, enhance user experiences, and contribute to innovations in artificial intelligence.

  3. Data Engineer: The program's emphasis on data management and technology equips graduates for careers as data engineers. Data engineers develop and maintain the architecture for databases, large-scale processing systems, and infrastructure, ensuring efficient data flow and accessibility for organizations.

  4. Business Intelligence (BI) Analyst: Leveraging their skills in data visualization and interpretation, graduates may pursue roles as BI analysts. These professionals transform complex datasets into visually compelling insights, aiding organizations in making informed decisions and identifying trends.

  5. Data and Analytics Consultant: Some graduates may choose a career as consultants, providing specialized expertise to organizations seeking guidance on data-driven strategies. This may involve advising on data governance, implementing analytics solutions, and optimizing existing data workflows.

  6. Research Scientist in Data Science: For those interested in contributing to the advancement of the field, opportunities as research scientists exist. Graduates may engage in academic or industrial research, exploring new methodologies, algorithms, and applications in data science.

  7. Leadership Positions: With a well-rounded education that includes ethical considerations and business acumen, program alumni are well-suited for leadership roles. These may include Chief Data Officer (CDO) or Director of Data Science positions, where professionals guide organizations in maximizing the value of their data assets.

  8. Entrepreneurship: Equipped with a strong foundation in data science and practical experience gained through the program, some graduates may choose to start their own ventures. Entrepreneurial opportunities exist in developing data-driven applications, consulting services, or innovative solutions addressing specific industry challenges.


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