Higher-Study course evidence

MS in Data Science

New York, United StatesReview MS in Data Science at Pace University through curriculum, eligibility, current cost evidence, application process and New York life.

Published 16 September 2026Course facts, costs and fit

QualificationMaster of SciencePace University

Duration24 monthsPublished full-time structure

Published costUSD 51,900 current on-campus programme tuition; Pace states that tuition is subject to changeDated official figure

Intake patternFall, Spring and Summer; confirm the next F-1-eligible startReconfirm before commitment

What you will actually study

A 30-credit STEM-designated programme in New York City that combines statistics, programming, data engineering, machine learning and communication for applied data work.

Check my eligibility

Application process

Build a complete decision for MS in Data Science at Pace University

01Map academic eligibility
Pace recommends a background in computer science, mathematics or statistics, including calculus, linear algebra, programming and database experience. The complete academic record is still reviewed individually.
Transcript check
02Validate English evidence
For direct entry to Seidenberg graduate programmes, Pace lists IELTS 6.5, TOEFL 78, PTE 52 or Duolingo 115, subject to the university's current policy and applicant review.
Test and component check
03Model the full investment
USD 51,900 current on-campus programme tuition; Pace states that tuition is subject to change. Add housing, insurance, travel, setup costs and a contingency.
Family scenario
04Confirm and consent
Recheck course, intake and application availability, then explicitly approve the minimum application data to be shared.
Before records move

Course essentials

What MS in Data Science at Pace University asks of your profile and budget

Curriculum

The learning core

Use the official structure to test whether the course builds the capabilities your target work needs.

Statistics, mathematics and data modelling
Python, R and machine-learning tools including TensorFlow
Data engineering technologies including Spark, Hadoop and MapReduce
Visualisation, storytelling and practical projects

Eligibility

Pace recommends a background in computer science, mathematics or statistics, including calculus, linear algebra, programming and database experience. The complete academic record is still reviewed individually.

For direct entry to Seidenberg graduate programmes, Pace lists IELTS 6.5, TOEFL 78, PTE 52 or Duolingo 115, subject to the university's current policy and applicant review.

Map the full Indian qualification
Check every prerequisite and component score
Escalate exceptions before applying

Career and city

What this course is trying to unlock

The New York City setting places study close to a wide employer landscape, while housing cost and commute discipline need to be designed into the family plan from the start.

Data analyst
Data scientist
Business analyst
Software or analytics developer

Course questions

What to verify before applying for MS in Data Science

Am I eligible for MS in Data Science?

The published rule is directional. Higher-Study checks your awarding institution, marks, subjects, experience and English evidence before presenting a personal view.

Is the course currently available through Higher-Study?

This is an independently researched public profile, not a seat or application-availability claim. Availability is confirmed after your profile and intended intake are known.

Is the displayed cost the complete first-year budget?

No. Higher-Study adds housing, insurance, travel, visa-related costs, setup spending and a family contingency.

Does the course guarantee a job or immigration outcome?

No. Career directions are planning signals; employers and immigration authorities make independent decisions.

Official evidenceOpen the sources before you commit

Test the fit

Decide whether MS in Data Science earns a place in your shortlist.

Add it to my decision profile