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BSc in Data Science

New York, United States
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The BSc in Data Science at City University of New York (CUNY) offers a comprehensive curriculum designed to equip students with advanced analytical and computational skills. This program integrates computer science, statistics, and domain knowledge t...

Key Statistics

Duration

36 Months

Degree Level

Bachelors

Field of Study

Computer Science & IT

Intl. Fee

$30,000 per year

Intake

Fall (August), Spring (January)

Deadline

Fall intake: June 1; Spring intake: November 1

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Overview

The BSc in Data Science at City University of New York (CUNY) offers a comprehensive curriculum designed to equip students with advanced analytical and computational skills. This program integrates computer science, statistics, and domain knowledge to prepare graduates for the growing demand in data-driven industries. Students will learn essential techniques in machine learning, data mining, and big data analytics, supported by practical projects and real-world case studies. CUNY’s strong industry connections provide valuable internship opportunities, enabling hands-on experience. The course emphasizes ethical data use and communication skills, ensuring graduates are well-rounded professionals. With a focus on innovation and problem-solving, this degree prepares students for diverse roles in technology, finance, healthcare, and more. The program is ideal for those eager to harness data science to drive business insights and technological advancements in the United States and globally.

Programme Highlights

  • Comprehensive curriculum integrating computer science, statistics, and domain knowledge
  • Hands-on projects utilizing real-world datasets
  • Access to modern computational labs and software tools
  • Strong industry partnerships offering internships and mentorship
  • Focus on ethical data use and communication skills
  • Opportunities for research and innovation in data science
  • Supportive faculty with expertise in machine learning and big data analytics

Who Should Apply

This program is ideal for students passionate about data analysis, computer programming, and statistical modeling. Those who enjoy problem-solving and working with large datasets will thrive. It suits individuals aiming for careers in technology, finance, healthcare, or research sectors that rely on data-driven decisions. Applicants should have strong mathematical aptitude and curiosity about machine learning and artificial intelligence. The course also benefits students interested in combining domain knowledge with data science techniques to innovate in various industries. If you aspire to become a data scientist, analyst, or pursue advanced studies in data science or related fields, this program is tailored for you.

Career Outcomes

Graduates of the BSc Data Science at CUNY are well-prepared for careers as data scientists, data analysts, machine learning engineers, and business intelligence specialists. They find opportunities in diverse sectors such as technology firms, financial institutions, healthcare organizations, and government agencies. The program’s practical training and industry connections boost employability and readiness for real-world challenges. Alumni also pursue advanced degrees in data science, artificial intelligence, or computer science. With the growing demand for skilled data professionals, graduates enjoy competitive salaries and career growth prospects. The ethical and communication skills developed in the program enable graduates to effectively collaborate in multidisciplinary teams and lead data-driven projects.

Admission Requirements

Applicants must have completed secondary education equivalent to the US high school diploma with a strong academic record, particularly in mathematics and science subjects. Submission of official transcripts, standardized test scores such as the SAT or ACT (if applicable), and proof of English proficiency are mandatory. A personal statement explaining the candidate’s interest in data science and career goals is required. Letters of recommendation from teachers or mentors can strengthen the application. Meeting the minimum GPA threshold set by CUNY is essential. Some programs may request an interview or additional assessments. International students must also provide certified translations of documents if not in English. Early application is encouraged due to competitive admissions.

Essential Documents

Completed application form
Official high school transcripts
Proof of English proficiency (TOEFL/IELTS)
Personal statement
Letters of recommendation
Standardized test scores (SAT/ACT) if applicable
Copy of passport
Financial documentation for visa

Requirements for Indian Students

Indian students applying to CUNY’s BSc Data Science program must have completed their 10+2 education with strong grades in mathematics and science subjects. Submission of official transcripts and certified translations if applicable is required. Indian applicants must also submit scores from standardized tests like SAT or ACT if requested. Proof of English language proficiency through TOEFL or IELTS is mandatory. Additionally, a statement of purpose and letters of recommendation are highly recommended to strengthen the application. Indian students should ensure their academic credentials meet CUNY’s minimum GPA criteria. Early application is advised due to competitive admissions and visa processing times.

English Language Requirements

International applicants must demonstrate English proficiency through tests like TOEFL (minimum score 80) or IELTS (minimum score 6.5). Other accepted qualifications include PTE Academic or completion of prior education in English. Meeting these requirements ensures students can engage fully with the course content and participate effectively in discussions and assignments. Some applicants may be exempt if they have studied in an English-medium institution.

Important Notes for Indian Students

Indian students must ensure their academic credentials meet the admission criteria, including strong performance in mathematics and science at the 10+2 level. Early preparation for English proficiency exams such as TOEFL or IELTS is crucial. Visa application processing times can be lengthy, so applying well in advance is recommended. Maintaining valid immigration status and adhering to F-1 visa requirements during study is essential. Indian students should also be aware of the financial commitment, including tuition, accommodation, and living expenses. Engagement with the university’s international student support services can help address challenges related to cultural adjustment, academic expectations, and visa regulations. Staying informed about any changes in US immigration policies is important to avoid disruptions.

Fees & Funding

International Tuition Fee

$30,000 per year

Home/Local Tuition Fee

$10,000 per year

* Fees are subject to change. Please verify with our counselors or the university website.

Estimated Cost (INR)

Approximately ₹24,00,000 per year for international students, based on current exchange rates. Local fees equate to roughly ₹8,00,000 per year. These amounts are estimates and subject to currency fluctuations and additional expenses.

Fee Summary

The annual tuition fee for international students is approximately $30,000, while local residents pay around $10,000 per year. Fees cover instruction, access to campus resources, and support services. Additional costs may include textbooks, accommodation, and living expenses. Financial aid and scholarships can help offset tuition costs. Students should budget accordingly to ensure a smooth academic experience.

Scholarships

CUNY offers a range of merit-based and need-based scholarships to support both domestic and international students. Scholarships include the Chancellor’s Scholarship and departmental awards specifically for STEM fields like Data Science. Students demonstrating academic excellence, leadership, and community involvement are prioritized. Application for scholarships typically requires submission of separate forms along with the admission application. Some scholarships cover partial tuition fees, while others may offer full tuition waiver or stipends. Additionally, external scholarships and financial aid options for international students are encouraged to explore. Timely application and maintaining a strong academic record during the course can increase scholarship eligibility.

Visa & Work Permit

International students admitted to the BSc in Data Science at CUNY must obtain an F-1 student visa to study in the United States. The university provides the necessary Form I-20 after confirming admission and proof of financial support. Students should apply for the visa well ahead of their program start date to accommodate processing times. The F-1 visa allows full-time study and limited on-campus employment. Maintaining full-time enrollment and complying with visa regulations is mandatory to stay in status. Students are advised to attend mandatory orientation sessions covering visa rules and maintain communication with the university’s international student office for support throughout their studies.

Student Visa Overview

The F-1 student visa is required for international students enrolling at CUNY. The university issues Form I-20 after admission, which is necessary for visa application. Students must demonstrate financial ability to cover tuition and living costs. The visa allows full-time study and limited work options on campus. Compliance with visa regulations, including maintaining full-time enrollment and attending classes, is essential. The international student office offers guidance throughout the visa process and during the student’s stay in the US.

Post-Study Work Opportunities

Graduates from the BSc Data Science program at CUNY may be eligible for Optional Practical Training (OPT), allowing them to work in the United States for up to 12 months post-graduation. STEM degree holders can extend OPT by an additional 24 months, totaling up to 36 months of work authorization. This provides valuable experience in data science roles across industries. Employers benefit from hiring skilled graduates familiar with cutting-edge technologies. The university supports students in applying for OPT and connecting with potential employers. Post-study work opportunities enhance career prospects and facilitate pathways to permanent employment.

Expert Recommendation

Why we recommend this programme

"City University of New York’s BSc Data Science is highly recommended for students seeking a rigorous, practical education in a leading urban research environment. The program’s blend of theoretical knowledge and hands-on experience prepares graduates to meet the evolving demands of the data science industry. CUNY’s affordable tuition rates and scholarship opportunities make it an accessible option for international students, including those from India. The university’s strong support system for international students and comprehensive visa guidance further enhance the student experience. Prospective applicants should focus on building a solid foundation in math and programming before enrolling. Early application and engagement with faculty and career services will maximize benefits. Overall, this degree offers excellent value and promising career pathways in the United States and globally."

Frequently Asked Questions

What are the English language requirements for the program?

Applicants must provide TOEFL scores of at least 80 or IELTS scores of 6.5 to demonstrate English proficiency.

Can Indian students apply for scholarships?

Yes, Indian students are eligible to apply for merit-based and need-based scholarships offered by CUNY.

What are the post-study work options available?

Graduates can apply for Optional Practical Training (OPT) for up to 12 months, with a 24-month extension for STEM graduates.

How long is the BSc Data Science program?

The program typically takes four years to complete on a full-time basis.

What documents are required for the application?

Applicants need to submit transcripts, English proficiency test scores, a personal statement, letters of recommendation, and financial documents.

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