logo
  • uni logo
uni logo

Rochester Institute of Technology

flag

New York

United States

icon

Program Rank

tooltip

98

The Master of Science in Data Science at the Rochester Institute of Technology (RIT) is a premier program that stands at the intersection of innovation and technology. Designed for aspiring data scientists, this program offers an extensive curriculum rich in both theoretical knowledge and practical applications. Students will delve into the world of data, learning how to collect, analyze, interpret, and visualize complex datasets using advanced methodologies and tools. RIT’s emphasis on real-world applications ensures that graduates are well-equipped to tackle the challenges faced by modern businesses and organizations in a data-driven world.

This 24-month program is structured to provide students with a comprehensive understanding of data science principles, algorithms, and technologies. The curriculum includes core courses such as Data Mining, Machine Learning, and Statistical Analysis, along with specialized electives that allow students to tailor their education to their career goals. Essential subjects like Data Visualization and Big Data Analytics ensure that students are adept at presenting insights effectively to stakeholders. Furthermore, the program emphasizes hands-on learning through projects and case studies, which prepares students for real-world applications.

Faculty members in the Golisano College of Computing and Information Sciences are not only educators but also industry experts and researchers. They bring a wealth of experience to the classroom, adopting a teaching methodology that combines lectures with interactive and collaborative learning experiences. The faculty's commitment to mentorship and research collaboration allows students to engage in groundbreaking projects, enhancing their educational experience and fostering a deeper understanding of the subject matter.

Moreover, RIT provides numerous research opportunities in the field of data science. Students can work alongside faculty on impactful research projects that advance knowledge and contribute to the field. The university’s research labs are equipped with cutting-edge technology, allowing students to explore innovative solutions to complex problems. This research exposure not only enriches students' learning experiences but also enhances their resumes, making them highly attractive to potential employers.

In terms of career pathways, RIT’s robust industry connections open doors for internships and job placements in prestigious organizations. The program boasts a strong track record of graduate employment, with many students securing roles in leading companies right after graduation. The career services team at RIT offers personalized support, including resume workshops, interview coaching, and networking events, ensuring students are well-prepared to enter the job market. Graduates of this program can pursue diverse roles, including Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Developer, across various sectors such as technology, finance, healthcare, and consulting.

Alumni of the Master of Science in Data Science program have gone on to achieve remarkable success in their careers. Many have taken on influential positions in top organizations, leveraging the skills and knowledge acquired at RIT. Testimonials from former students highlight not only the academic rigor of the program but also the supportive community and the lifelong connections made during their time at RIT. Such success stories serve as a testament to the quality of education and the transformational experience offered by this program.

In addition to its comprehensive curriculum and unparalleled faculty support, the Master of Science in Data Science at RIT is distinguished by its unique features. These include opportunities for international collaboration, participation in hackathons, and access to a wide range of professional development workshops. The program is designed to foster critical thinking, creativity, and innovation, which are essential skills in the rapidly evolving field of data science.

International students are particularly drawn to RIT due to its welcoming and diverse community. The program’s inclusive environment encourages collaboration among students from various backgrounds, enhancing the learning experience. With a student international diversity of approximately 12.63%, the program promotes global perspectives and ideas, enriching discussions and projects.

**Why Study Data Science at Rochester Institute of Technology**

  • A globally recognized program consistently ranked among the best for Data Science education.
  • Access to state-of-the-art labs and tools for extensive hands-on learning and research opportunities.
  • Expert faculty who are industry leaders and researchers dedicated to student success.
  • Strong industry connections that facilitate internships and job placements with leading companies.
  • A supportive and diverse academic community fostering collaboration and innovation.
  • Well-rounded coursework that prepares students for a variety of roles in the data science field.
  • Opportunities for professional development and networking to enhance career prospects.

Students interested in applying for the Master of Science in Data Science should be aware of the application requirements. These include a completed application form, a non-refundable application fee of $65, official transcripts, a resume, a statement of purpose, letters of recommendation, proof of English language proficiency (IELTS is required with a minimum score of 6.5), and a valid passport. Furthermore, GRE scores may be required depending on the applicant's background.

In conclusion, the Master of Science in Data Science at RIT is more than just a degree; it is a transformative experience that equips students with the skills needed to excel in a data-centric world. With its strong academic foundation, dedicated faculty, and extensive career resources, RIT stands as a leading institution for those eager to make their mark in the field of data science.

intake

Total Tuition Fees

$90,000

intake

Duration

24 Months

intake

Median Salary

$1,10,000

Ranking

icon

#105

US World and News Report

intake

Intake

Fall ( Sept - Nov )

intake

Intake

Spring ( Apr - June )

Class Profile

intake

Class Size

26

intake

Average Age

26

intake

Average Work Experience

2 Years

Diversity

Others:

10%

International:

15%

New York:

35%

Texas:

15%

Florida:

10%

Illinois:

5%

California:

25%

Career Outcomes

intake

Median Earnings After Graduation

$1,10,000 / year

intake

Graduation Rate

67%

Prospective Job Roles

Data Engineer

Research Data Scientist

Marketing Data Analyst

Math Data Analyst

Data Entry Clerk

Health Data Analyst

Data Science

Sports Data Analyst

Data Architect

Data scientist

Data Storyteller

Data Protection Officer

Japanese Data Scientist

Top recruiters

logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo

Eligibility Criteria

intake

At least 3 / 4 undergraduate GPA is expected.

intake

At least 16 years of bachelor degree.

English Proficiency Tests

  • IELTS

    6.5

    tooltip
  • PTE

    60

    tooltip
  • TOEFL

    88

    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

Application Fee: 65

  • intake

    Transcript

  • intake

    Resume

  • intake

    IELTS

  • intake

    Statement of Purpose

  • intake

    Academic LOR

  • intake

    Professional LOR

Application Deadlines

Space Available
FallN/A
SpringN/A

Fees and Funding

intake

Tuition Fees

$45,000 / year

intake

Overall Cost

$62,000 / year

FAQs

  • A school counselor recommendation is preferred, teacher recommendations are welcome, and any additional recommendation letters will be considered (minimum of 1 recommendation letter required, suggested maximum of 3-5). Recommenders are welcome to email their letters to [email protected].
  • A Masters in Data Science can be challenging as it requires a strong foundation in mathematics and programming, as well as the ability to analyze and interpret large amounts of data. However, with dedication, hard work, and a passion for the subject, it can be a rewarding and fulfilling academic pursuit.
  • The master of science (MS) in data science program at the University of Rochester provides students with a strong background in the fundamentals and applications of data science, and is accredited by New York State.

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