logo
  • uni logo

QS Rank:

verified

701

uni logo

New Jersey Institute of Technology

flag

New Jersey

United States

The Master's program in Data Science - Statistics Track at the New Jersey Institute of Technology is meticulously designed to equip students with a profound understanding of statistical methodologies pivotal for data-driven decision-making in today's technology-driven landscape. This program stands out for its comprehensive curriculum that integrates foundational knowledge with advanced statistical techniques, ensuring graduates are well-prepared to tackle complex data challenges across various industries. The coursework emphasizes not only theoretical concepts but also practical applications through hands-on projects, enabling students to develop a robust skill set that is highly sought after in the job market.

The curriculum covers essential topics such as applied statistics, data preparation, and machine learning. Students will engage in courses that delve into advanced statistical theories, programming for data analysis, data visualization techniques, and the utilization of statistical software tools. The program not only teaches technical skills but also fosters critical thinking and analytical capabilities, allowing students to derive insights from complex datasets. This holistic approach prepares graduates for real-world scenarios where they can apply their knowledge effectively.

One of the unique features of this program is the strong emphasis on research opportunities. Students are encouraged to collaborate with faculty on ongoing research projects, allowing them to explore cutting-edge topics within the realm of data science. The faculty at NJIT consists of seasoned professionals and academics who bring a wealth of experience and expertise in statistical analysis, machine learning, and data systems. Their innovative teaching methodologies, combined with a commitment to student success, create an engaging and supportive learning environment.

Furthermore, the New Jersey Institute of Technology boasts significant industry connections that enhance the educational experience of its students. The program offers various internship possibilities through partnerships with local businesses and tech firms, providing students with invaluable work experience and networking opportunities. This exposure not only enhances students’ resumes but also allows them to apply their theoretical knowledge in practical settings, thus bridging the gap between academia and industry.

Graduates of the Master's in Data Science program can expect a wide array of career pathways. Common job outcomes include roles such as Statistician, Data Scientist, Data Engineer, and Business Analyst. With a median base salary of approximately $105,000, the program offers a lucrative return on investment for students. Alumni are making significant contributions in diverse sectors including finance, healthcare, and technology, often taking on leadership roles and influencing business decisions through data-driven insights.

Why Study Data Science - Statistics Track at New Jersey Institute of Technology
  • Comprehensive Curriculum: The program offers a blend of theoretical knowledge and practical skills to prepare students for real-world data challenges.
  • Expert Faculty: Learn from industry leaders and experienced professionals who are committed to student success and innovation.
  • Research Opportunities: Engage in groundbreaking research projects and collaborate with faculty to enhance your learning experience.
  • Strong Industry Connections: Benefit from a network of partnerships with leading companies, providing access to internships and job opportunities.
  • Lucrative Career Pathways: Graduates are well-prepared for high-paying roles in diverse sectors with a median salary of $105,000.
  • Alumni Success: Join a network of successful alumni who have made significant impacts in their respective fields.

The program is structured to be completed in approximately 18 months, with a focus on both full-time and part-time enrollment options. Admission requirements include a completed application, a transcript demonstrating previous academic performance, an academic letter of recommendation, and a current resume. International students must also prove their English proficiency through standardized tests such as TOEFL, IELTS, or Duolingo, with specific minimum scores outlined for each exam.

Course Requirements: The curriculum is designed to be rigorous yet flexible, allowing students to tailor their learning experience according to their interests and career aspirations. Key courses include:

  • Applied Statistics: A course focusing on statistical methods and their applications in real-world scenarios.
  • Database Systems and Data Preparation: Learn how to manage and prepare data effectively for analysis.
  • Practical Machine Learning: Explore machine learning algorithms and their applications in data science.
  • Data Visualization: Understand the principles of presenting data visualizations for effective communication.
  • Statistical Programming: Gain proficiency in programming languages used for statistical analysis.

As the demand for skilled data scientists continues to grow, NJIT's Master's in Data Science - Statistics Track stands as a leading choice for students aiming to make a significant impact in this dynamic field. By blending theoretical understanding with practical application, the program prepares graduates to meet the challenges of tomorrow's data-driven world.

In summary, the Master's program in Data Science - Statistics Track at the New Jersey Institute of Technology not only prepares students for successful careers in data science but also empowers them to become innovators and leaders in the field. With a robust curriculum, expert faculty, and strong industry connections, this program is an excellent step toward a fulfilling career in data science.

intake

Duration

18 Months

intake

Median Salary

$1,05,000

Ranking

icon

#813

US World and News Report

icon

#501

The World University Rankings

icon

#701

QS World University Rankings

intake

Intake

Spring ( Apr - June )

Class Profile

intake

Class Size

25

intake

Average Age

28

intake

Average Work Experience

3 Years

Diversity

International:

10%

Others:

5%

California:

10%

Illinois:

5%

Pennsylvania:

15%

New Jersey:

45%

New York:

20%

Career Outcomes

intake

Median Earnings After Graduation

$1,05,000 / year

Prospective Job Roles

Statistician

Research Scientist

Software Engineer

Data Engineer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Data Architect

Machine Learning Engineer

Top recruiters

logo
logo
logo
logo
logo
logo
logo
logo
logo

Eligibility Criteria

English Proficiency Tests

  • TOEFL

    79

    tooltip
  • IELTS

    6.5

    tooltip
  • DUOLINGO

    120

    tooltip

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

    Transcript

  • intake

    Academic LOR

  • intake

    Resume

Application Deadlines

Standard Deadline
SpringNov 15, 2023

Fees and Funding

intake

Tuition Fees

$34,260 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The New Jersey Institute of Technology offers a variety of scholarships for students pursuing a master's degree in data science. These scholarships are based on academic merit, financial need, and other criteria. Some of the best scholarships available include the NJIT Presidential Scholarship, the NJIT Dean's Scholarship, and the NJIT Alumni Scholarship. These scholarships can provide students with significant financial assistance to help them cover the cost of their education.

FAQs

  • A student can complete Data Science - Statistics Track at New Jersey Institute of Technology with in 18.
  • The deadline to submit an admission application for Data Science - Statistics Track at New Jersey Institute of Technology is Application deadline Spring (Standard Deadline) - date - 15/11/2023
  • The application fee to pursue Data Science - Statistics Track at New Jersey Institute of Technology is USD 75 for international students.
  • The annual tuition fee to pursue Data Science - Statistics Track at New Jersey Institute of Technology is USD 34260.
  • The submission of these scores mainly depends on the type of degree/ course selected at the New Jersey Institute of Technology. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check New Jersey Institute of Technology requirements before submitting a score.
  • Data Science - Statistics Track can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
  • If a student fulfils all the eligibility criteria and admission requirements of New Jersey Institute of Technology, they can easily pursue Data Science - Statistics Track. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
  • An MS degree at New Jersey Institute of Technology can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official New Jersey Institute of Technology website to check the course/ degree duration.
  • One can apply for scholarships to pursue their international education at New Jersey Institute of Technology by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

Ready to elevate your study abroad journey?

Book a call with us now and take the first step towards your global future!

Connect with us on our social media

  • icon
  • icon
  • icon
  • icon