Integrated Masters Program - M.S. in Data Science
Drew University offers a cutting-edge Integrated Master's Program, culminating in a...
Madison, New Jersey
INTAKE: Jan & Aug
Drew University offers a cutting-edge Integrated Master's Program, culminating in a Master of Science (M.S.) in Data Science. This STEM-designated program provides students with a comprehensive and interdisciplinary approach to mastering the intricacies of data analytics and scientific inquiry. The program equips graduates with the skills needed to thrive in the rapidly evolving field of data science. Drew University's Integrated Master's Program leading to an M.S. in Data Science offers a transformative educational experience, blending theoretical knowledge with practical applications. The STEM designation, integrated structure, and emphasis on hands-on learning position graduates for success in a variety of data-driven industries, making them valuable contributors to the evolving field of data science.
Curriculum:
STEM-Designated Program: The M.S. in Data Science holds STEM designation, signifying a focus on science, technology, engineering, and mathematics. This designation enhances the program's credibility and allows international students to benefit from extended Optional Practical Training (OPT) opportunities in the U.S. job market.
Interdisciplinary Curriculum: The program features a holistic curriculum that draws from mathematics, statistics, computer science, and domain-specific applications. Students gain a deep understanding of the interdisciplinary nature of data science, preparing them for diverse professional challenges.
Hands-On Learning: Drew University emphasizes hands-on learning experiences. Through practical projects and real-world applications, students develop proficiency in data manipulation, visualization, and analysis, ensuring they are well-prepared for the demands of the industry.
Expert Faculty: Students benefit from the guidance of experienced faculty who are experts in the field of data science. The faculty's diverse expertise enriches the learning experience and ensures that students receive up-to-date and relevant insights into emerging trends and technologies.
Integrated Master's Structure: The program follows an integrated master's structure, allowing students to seamlessly progress from undergraduate to graduate studies. This structure provides a streamlined educational path, fostering continuity and coherence in the learning experience.
Capstone Project: A capstone project is a central component of the program, enabling students to apply their acquired knowledge and skills to solve real-world problems. This practical experience enhances their readiness to contribute meaningfully to the data science landscape upon graduation.
Networking Opportunities: Drew University facilitates networking opportunities with industry professionals, alumni, and potential employers. These connections provide students with valuable insights, mentorship, and potential avenues for internships and job placements.
Research Opportunities: The program encourages students to engage in research initiatives, contributing to the advancement of knowledge in data science. Research opportunities foster critical thinking, innovation, and a deeper understanding of the field.
Madison, New Jersey
IELTS: 6.5
USD 24112
Postgraduate entry requirements
Academic Requirements:
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.
PTE (Pearson Test of English): Drew University accepts a minimum PTE score of 53.
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.
Graduates of Drew University's Integrated Master's Program with a Master of Science (M.S.) in Data Science are well-positioned for rewarding and impactful careers in the dynamic and rapidly expanding field of data science. The program's emphasis on interdisciplinary education, hands-on learning, and a STEM-designated curriculum equips students with a diverse skill set, making them highly sought-after by employers across various industries. Drew University's Integrated Master's Program in Data Science not only equips students with technical skills but also fosters critical thinking, problem-solving, and communication abilities essential for success in diverse professional settings. The strong emphasis on practical applications ensures that graduates are well-prepared to meet the evolving demands of the data science industry, contributing significantly to their long-term career success.
Data Scientist/Analyst: Graduates can pursue roles as data scientists or analysts, leveraging their expertise to extract meaningful insights from complex datasets. They use statistical methods, machine learning algorithms, and data visualization techniques to inform business decisions and strategy.
Machine Learning Engineer: With a solid foundation in machine learning, graduates can work as machine learning engineers, developing and implementing algorithms that enable machines to learn from and make predictions based on data.
Business Intelligence (BI) Consultant: Graduates may choose to work as BI consultants, helping organizations optimize their decision-making processes by designing and implementing effective BI solutions. This role involves transforming raw data into actionable insights for business growth.
Data Engineer: The program prepares students for roles as data engineers, where they design, construct, test, and maintain architectures, such as databases and large-scale processing systems, crucial for the collection and analysis of data.
Big Data Architect: Graduates can pursue careers as big data architects, focusing on designing and managing large-scale processing systems that handle vast amounts of data. This role is critical for organizations dealing with massive datasets.
Research Scientist: For those inclined towards research, opportunities exist as research scientists in academia or industry. Graduates can contribute to advancements in data science by conducting innovative research and developing new methodologies.
Cybersecurity Analyst: With the increasing importance of securing digital assets, graduates can explore roles as cybersecurity analysts, employing their data science skills to detect and prevent cyber threats.
Health Informatics Specialist: In the healthcare sector, graduates can contribute as health informatics specialists, utilizing data science techniques to analyze patient data, enhance healthcare delivery, and contribute to medical research.
Financial Analyst/Quantitative Analyst: The finance industry values data-driven decision-making. Graduates can work as financial analysts or quantitative analysts, applying data science to analyze financial data, assess risks, and inform investment strategies.
Consultant in Data-Driven Strategy: Graduates can serve as consultants, helping organizations develop and implement data-driven strategies. They play a crucial role in guiding businesses on how to leverage data for competitive advantage.