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Rutgers University, Camden

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New Jersey

United States

The Master of Science in Data Science at Rutgers University, Camden is a comprehensive and dynamic program tailored to equip students with the essential skills and knowledge required in the ever-evolving field of data science. This program emphasizes a thorough understanding of data analytics, statistical methods, and computational techniques, which are crucial for making data-driven decisions in various industries. With a duration of just 18 months, students can dive deep into topics such as machine learning, big data analytics, and data visualization, preparing them for a wide array of career opportunities upon graduation.

One of the standout features of this program is its carefully crafted curriculum that combines theoretical learning with practical applications. Students engage in challenging modules that cover essential areas, including predictive modeling, data mining, and statistical programming. By participating in hands-on projects and collaborative assignments, students develop a portfolio that showcases their skills to potential employers. Courses such as Data Visualization Techniques, Machine Learning Algorithms, and Big Data Technologies are designed to provide a robust foundation while also allowing for specialization based on individual interests and career goals.

The faculty at Rutgers University, Camden, is composed of highly qualified professionals and scholars who bring a wealth of experience from both academia and industry. They utilize innovative teaching methodologies that encourage critical thinking and practical problem-solving. Faculty members are not only educators but also mentors, guiding students through their academic journey and providing invaluable insights into the data science landscape. This close-knit interaction enhances the learning experience, making it more personalized and impactful.

Research opportunities at Rutgers University, Camden, are vast and varied. The university is equipped with state-of-the-art laboratories and resources that enable students to engage in groundbreaking research projects. Many students have the chance to collaborate with faculty on significant research initiatives, often leading to published work in reputable journals. This emphasis on research fosters a culture of inquiry and exploration, allowing students to contribute to the advancement of knowledge in data science.

In addition to academic rigor, Rutgers University boasts strong connections with various industries, enhancing students' internship and job placement prospects. The program emphasizes networking and career development, facilitating connections with leading companies in the data science field. Internships provide students with practical experience and a foot in the door for potential job opportunities, helping them to build a professional network that can be beneficial long after graduation. The university's career services team offers tailored support, including resume workshops, mock interviews, and job fairs.

The career pathways available to graduates of the Master of Science in Data Science are extensive and lucrative. With a median salary of around $110,000, graduates find themselves well-positioned for roles as Data Scientists, Data Engineers, Clinical Data Analysts, and many more. The program's comprehensive training prepares students not only for immediate job placement but also for long-term career advancement. Alumni from the program have gone on to achieve remarkable success, with many securing positions at top firms, government agencies, and innovative startups.

Another unique aspect of the program is its commitment to fostering a diverse and inclusive community. With a student international diversity rate of 10%, the program attracts a rich mix of perspectives and experiences, enhancing the educational experience for all students. This diverse environment encourages collaboration and fosters global awareness, which is increasingly important in today’s interconnected world.

Furthermore, the application requirements for this master’s program are straightforward yet comprehensive. Candidates are required to submit a completed application form, an application fee of $70, official transcripts, a statement of purpose, a resume, and letters of recommendation. Prospective students must also demonstrate English proficiency, with the IELTS score requirement being a minimum of 7.0. The program also requires a GRE score, which helps to assess applicants' readiness for the rigorous academic demands of the program.

In summary, the Master of Science in Data Science program at Rutgers University, Camden stands out for its combination of academic excellence, practical experience, and robust industry connections. Graduates are not only well-prepared for the workforce; they are also equipped to become innovators and leaders in the data science field. Here are some compelling reasons why you should consider studying Data Science at Rutgers University, Camden:

  • A well-structured curriculum that integrates theory with practical applications.
  • Access to distinguished faculty members who foster a supportive learning environment.
  • Ample research opportunities and state-of-the-art facilities for hands-on learning.
  • Strong industry partnerships that facilitate internships and job placements.
  • Diverse student body that enriches the educational experience and promotes global perspectives.

With its comprehensive educational offerings and commitment to student success, the Master of Science in Data Science at Rutgers University, Camden is an excellent choice for those aspiring to excel in this critical and growing field.

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Total Tuition Fees

$40,800

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Duration

18 Months

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Median Salary

$1,10,000

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Fall ( Sept - Nov )

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Spring ( Apr - June )

Class Profile

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Class Size

25

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Average Age

27

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Average Work Experience

3 Years

Diversity

International:

10%

Others:

20%

New York:

10%

Pennsylvania:

15%

New Jersey:

45%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

80%

Prospective Job Roles

Data Engineer

Data Visualization Specialist

Clinical Data Analyst

Transport Data Analyst

Data Warehouse Specialist

Cost Accountant

Healthcare Data Analyst

Database Administrator

Accountant

Account Manager

Data Science

Data Scientist

Big Data Engineer

Geospatial Data Analyst

Data analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    7

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  • TOEFL

    83

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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.

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Application Fee: 70

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    Transcript

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    GRE

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    Passport

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    Statement of Purpose

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    Resume

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    IELTS

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    Academic LOR

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    Academic LOR

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    Class 12 Marksheets

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    Class 10 Marksheets

Application Deadlines

Standard Deadline
FallMay 15, 2025
SpringOct 15, 2024

Fees and Funding

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Tuition Fees

$20,400 / year

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Overall Cost

$35,000 / year

FAQs

  • Students are required to have completed a four-year bachelor’s degree with a minimum GPA of 3.0 (B average or equivalent), and should have a firm foundation in linear algebra and multivariable calculus.

  • There is an application fee of $70. As stated on the Admissions website, we normally do not waive fees, but we may defer a fee under extenuating circumstances. If you are a veteran or Rutgers undergraduate alumni, you may be eligible for an application fee waiver. Once you have officially submitted your application, please contact the Admissions Processing Office to request an application fee waiver. Please include your RUID when making the request.

  • The deadlines are: March 15 (Fall applications) and October 15 (Spring applications). Admission decisions are made on a rolling basis with preference given to applications submitted before the deadline for both decisions and funding opportunities. Applications received after the deadlines will be considered based on available space and budgetary constraints.

  • Is this a STEM-designated degree program?

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