

Data Science, MSE
- Private University
School of Engineering and Applied Science
Data Science, MSE at University of Pennsylvania Overview
University of Pennsylvania is one of the finest universities in USA. University of Pennsylvania provides Data Science, MSE at PG level. The duration of this course is 18 to 24 months. This course attracts students from all over the world. To enrol in this course, international students must fulfil all the admission requirements. The admission requirement at the University of Pennsylvania include standardized tests like IELTS, TOEFL, PTE and Duolingo. The first year tuition fees University of Pennsylvania for Data Science, MSE is USD 49,050 (INR 4,708,310). Moreover, the students must be ready for other expenses such as rent, hostel fees, food, books, supplies, utilities, etc.
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹46.62 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Data Science, MSE at University of Pennsylvania Fees
For attending the University of Pennsylvania for Data Science, MSE, students have to pay the tuition fee as well as the living expenses. The University of Pennsylvania Data Science, MSE fee structure varies for domestic and international students.
Foreign students will have to pay USD 49,050 (INR 4,708,310) for the first-year of study.
Refer to the table below for the breakdown of expenses for the University of Pennsylvania Data Science, MSE cost of attendance:
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 46,62,252 |
| Application Fee | INR 8,555 |
| Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 4,00,165 |
| Transportation | INR 1,34,592 |
Data Science, MSE at University of Pennsylvania Curriculum
International students can check the University of Pennsylvania Data Science, MSE curriculum. The course PDF comprises information such as subjects taught, electives available, other course content, and semester-wise course structure breakup.
Download exam sample paper
Data Science, MSE at University of Pennsylvania Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
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- Students must have a bachelor degreee from an accredited college/university with sufficient study background
- An UG degree in any discipline with equivalent coursework to a minor in computer science (programming, discrete math, data structures and algorithms) and demonstrated strong mathematical and statistical proficiency

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Out of 10
- No specific cutoff mentioned
- A minimum of 100 is recommended
-
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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- No specific cutoff mentioned
- a minimum of 7.5 is recommended
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- No specific cutoff mentioned
- A minimum of 135 is recommended
Data Science, MSE at University of Pennsylvania Frequently Asked Questions
Data Science, MSE at University of Pennsylvania Rankings
| Rank | Rank Publisher |
|---|---|
| #9 | |
| #17 | |
| #20 |
Data Science, MSE at University of Pennsylvania Placements
| Particulars | Statistics (2024) |
|---|---|
| Internship Available | Yes |
Data Science, MSE at University of Pennsylvania Students also asked
University of PennsylvaniaStudents Ratings & Reviews
- 43% students never faced discrimination in this university
Data Science, MSE at University of Pennsylvania Highlights
- Penn's Master of Science in Engineering (MSE) in Data Science prepares students for a wide range of data-centric careers, whether in technology and engineering, consulting, science, policy-making, or understanding patterns in literature, art or communications.
- The Data Science Program can typically be completed in one-and-a-half to two years. It blends leading edge courses in core topics such as machine learning, big data analytics and statistics, with a variety of electives and an opportunity to apply these techniques in a domain specialization - a depth area - of choice.
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Philadelphia, Pennsylvania 19104
Philadelphia ( Pennsylvania)




