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Saint Peter’s University

Saint Peter's University, situated in Jersey City, offers convenience for students working and residing in NYC. It is only 12 mins drive to downtown Manhattan, even closer than Monroe College, another institution favored by students in the greater NYC area. At Saint Peter's, two master's level programs offer Day 1 CPT options: the MS in Business Analytics (MSBA) and the MS in Data Science (MSDS).

📍Jersey City, New Jersey

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Day 1 CPT at SPU

Discover Saint Peter's University

📍 2641 John F. Kennedy Blvd, Jersey City, NJ 07306

Locations

Jersey City, New Jersey

Accreditations

🎖️ MSCHE - Middle States Commission on Higher Education Accreditation 

🎖️ CCNE - Commission on Collegiate Nursing Education Accreditation

🎖️ IACBE - International Accreditation Council for Business Education

🎖️ US News - 11th “Best Value” in the regional university north

Day-1 CPT Programs

MS Data Science (STEM)

MS Business Analytics (STEM)

Estimated Tuition

$26,000 - $29,000

Ave annual tuition $17,365

 

Day 1 CPT Free Consultation

CPTDog Offers:

✓ One-on-One Free Consultation
✓ Personalized Day 1 CPT Universities List
✓ Application Fee Wavier & Application Assistant 
✓ Scholarship Opportunities 
✓ Connecting to the Admission Officer to Get Pre-Approval 
✓ Premium Process - Get an Offer and I-20 within 3 days [added-value service]

* Our consultants are committed to providing a seamless experience. Once you initiate a case with us, you will be assigned a specific consultant who will thoroughly understand your case, ensuring that there's no need for you to repeat information each time you call. We will not change your consultant unless you request it.

 

Get Connected With Your consultant by Filling Out Form ➡️ or, Start a Chat Now on  WhatsApp 

Day 1 CPT Policy

CPT Eligibility 

Day-1 CPT is integral to the MS in Data Science and MS in Business Analytics programs at Saint Peter's University. The completion of these programs requires experiential learning, which can be fulfilled each term either through employment in a field directly related to the student's program of study (CPT) or via a research practicum (with a fee of $495 per term for the research practicum course).

F-1 international students are eligible for CPT throughout their enrollment in these programs. Curricular Practical Training (CPT) provides off-campus work authorization, whether paid or unpaid, aligning with the academic curriculum. In the professional hybrid Data Science and Business Analytics Master’s programs, experiential learning through CPT is mandatory for degree completion. Students must engage in work related to their field of study as a degree requirement, ensuring through approval by an academic advisor and a Designated School Official (DSO) at Saint Peter’s that their selected employment experience is appropriate for the program’s objectives.

For additional information on Day 1 CPT at Saint Peter's University, do not hesitate to ask us!

CPT Policies

CPT Requirement on SPU’s official website

 

On-Site Requirement

  • 1-weekend/semester (Friday through Sunday)

⚠️ The school's attendance policy explicitly states that missing a single weekend of classes will be equivalent to missing the entire semester, leading to the immediate termination of the student's F-1 status.

 

How to Apply for CPT at Saint Peter's University? 

A student is required to fill out and sign the CPT Application, and submit it along with the following documents to both their academic advisor and the Office of International Student Services for approval:

  • A Cooperative Agreement from the employer, completed and signed.
  • An official offer letter from the employer to the student, signed and presented on company letterhead.
  • A comprehensive job description on company letterhead, which includes the job title and a detailed list of responsibilities for the CPT position.

Day 1 CPT Programs

MS in Data Science (STEM)

The Master of Science in Data Science program requires the completion of 36 credits.

  • 2 courses per semester for 36 credits
  • Total Duration: 20 months - 2 years

Prerequisite: The applicant must hold an undergraduate degree in science, mathematics, computer science, or engineering and have an interest in pursuing or working in a high-demand analytics field such as technology, pharmaceuticals, research, government, public health, entrepreneurship, finance, or business. Real-world business examples are incorporated into the course to equip graduates with the skills to use predictive models in decision-making.

The course offers in-depth training in data science, including data mining, machine learning, visualization techniques, predictive modeling, and statistics. Students will also gain hands-on experience with statistical programming languages and big data tools through coursework.

Course Requirements - 36 credit hours
  • DS-510. Introduction to Data Science. 3 Credits.
  • DS-520. Data Analysis and Decision Modeling. 3 Credits.
  • DS-650. Data Law, Ethics and Business Intelligence. 3 Credits.
  • DS-542. Python in Data Science. 3 Credits.
  • DS-597. Applied Research Experience. 0 Credits.
  • DS-598. Applied Work Experience and Curricular Practical Training. 0 Credits.
  • DS-660. Business Analytics. 3 Credits.
  • DS-600. Data Mining. 3 Credits.
  • DS-610. Big Data Analytics. 3 Credits.
  • DS-640. Predictive Analytics and Financial Modeling. 3 Credits.
  • DS-620. Data Visualization. 3 Credits.
  • DS-630. Machine Learning. 3 Credits.
  • DS-680. Marketing Analytics and Operations Research. 3 Credits.
  • DS-670. Capstone: Big Data and Business Analytics. 3 Credits.

* The sequence of course offerings may differ from the above table for students enrolled in different semesters.

Students who choose the Data Science program can participate in Data Science Institute (DSI) research projects:

DSI Research Projects

Commercial and Insurance Fraud Detection

  • The Data Science Institute works with a leading analytics firm to analyze large volumes of insurance transaction records and news articles to identify underwriters involved in insurance fraud and their likely locations.

  • Students use machine learning and natural language processing to perform efficient text mining tasks that generate information about crime and fraud and help authorities make predictions.

Big Data and Social Media

  • Big data associated with social media and blog posts provide unprecedented opportunities to understand the public political sentiment, consumer preferences, and user sentiment.

  • In a past project, students analyzed keywords on Twitter pages to uncover critical opinions and perform sentiment analysis of Internet marketing campaigns.

Data Science and Financial Markets

  • Real-time visualization and analysis of stock price or market data are essential for portfolio optimization.

  • In this project, students use Tableau software and Python scripts to analyze market prices at the opening and closing of the New York Stock Exchange.

Real-Time Surveillance and Crime Analysis

  • Big data and crime are emerging topics.

  • Students and faculty members use statistical learning methods to analyze and predict crime data in U.S. cities while also working with other organizations and agencies in the industry to develop predictive methods for urban and regional crime prevention.

MS Business Analytics (STEM)

The MS in Business Analytics is ideal for professionals seeking career advancement in the field. Offered through the Data Science Institute at Saint Peter’s University, the program provides managers with a unique combination of skills and knowledge in strategic management, finance, and advanced data analysis.

Degree Course Requirements - 30 credit hours
  • DS-510. Introduction to Data Science. 3 Credits.
  • DS-520. Data Analysis and Decision Modeling. 3 Credits.
  • DS-598. Applied Work Experience and Curricular Practical Training. 0 Credits.
  • DS-599. Research Practicum. 0 Credits.
  • DS-650. Data Law, Ethics and Business Intelligence. 3 Credits.
  • DS-542. Python in Data Science. 3 Credits.
  • DS-660. Business Analytics. 3 Credits.
  • GB-622 Managerial Economics
  • DS-542. Python in Data Science. 3 Credits.
  • GB-530 Managerial Finance and Decision Making
  • DS-680. Marketing Analytics and Operations Research. 3 Credits.
  • DS-640. Predictive Analytics and Financial Modeling. 3 Credits.
  • DS-670. Capstone: Big Data and Business Analytics. 3 Credits.

Day 1 CPT Cost

Tuition

Day 1 CPT Programs

 Per Credit Total Credits Tuition Total (CPT not included) Program Length
M.S. in Business Analytics $867 30 $26,000 18 months
M.S. in Data Science $806 36 $29,000 20 months

 

Other Fees:

  • Graduate Student Fee (charged per term or trimester) NEW $50

  • Microsoft Software Package Fee (Graduate MBA Business Analytics, M.S. Business Analytics, M.S. Data Science) $100

  • Orientation Fee Graduate Students (ALL GRAD NEW; Domestic and INT’L; one time ) $150

Day 1 CPT Calendar

 Terms Starting Date

  • 2024 Spring: 2/26/2024
  • 2024 Summer: 5/20/2024
  • 2024 Fall: 9/3/2024
  • 2024 Winter: 11/25/2024
  • 2025 Spring: 3/3/2025

The school has a trimester system consisting of three 11-week semesters per year. Main courses are scheduled during the spring, fall, and winter semesters, with a limited number of courses offered during the summer.

The hybrid curriculum requires two courses per semester (3 credits each, totaling 6 credits), one online and one onsite, meeting USCIS requirements for F-1 international students.

Prospective students may apply for admission during the start time of each semester, excluding winter.

*The application deadline is fairly early (up to 2 months before the start date), please apply in advance if interested!

*If you miss the application deadline, don't worry, CPTDog could work with School Admissions to expedite admission decisions as soon as 3 days.

Day 1 CPT Universities Application

STEP 1: Contact us to submit an online application form

STEP 2: Upload personal application information, including

  • I-20

  • Passport

  • Visa

  • Resume

  • Statement of Purpose

  • 2 Recommendation Letters

* Recommendation letters should focus on the following areas:

    • How long have you known the applicant, and in what capacity?

    • What do you consider the applicant's strengths?

    • In which areas could the applicant exhibit additional growth or improvement?

    • How would you describe the applicant's interpersonal skills?

    • Official Transcript (upload an unofficial transcript when applying, submit an official transcript after acceptance)

    • Certificate of deposit (bank statement with a balance of more than $27,800 within the last three months or equivalent in other currency is acceptable.)

    • Note: If you have a master's degree and work experience in the U.S., you do not need to submit a personal statement or letter of recommendation.

Upon receiving your acceptance letter, you should coordinate with the International Student Office at your current school to determine the SEVIS transfer date. Additionally, complete the SEVIS transfer form to move your SEVIS record from your current institution to Saint Peter's University.