Eligibility Requirements for University of Pennsylvania MSc in Data Science

The University of Pennsylvania MSE in Data Science (MSc in DS) program through its School of Engineering and Applied Science. This program is designed to equip students with the necessary skills and knowledge for data-centric careers.

Below is a detailed table of the eligibility requirements for this program:

Requirements Details
GPA 3.0-4.0
English Proficiency TOEFL: 100
Academic Transcripts Bachelor's Degree

Test Scores Requirement


Program Eligibility URL:https://gradadm.seas.upenn.edu/how-to-apply/

About University of Pennsylvania

Established back in 1740, the University of Pennsylvania carries a robust history deeply entwined with the inception of the nation. Nestled at the heart of Philadelphia, it proudly stands as America's inaugural university. Penn's outstanding academic achievements stem from a bedrock of innovation and inclusivity that seeps through its academic culture. 

The university's steep learning curve is supported through a robust 6:1 student-faculty ratio which supplements four undergraduate colleges and an additional twelve graduate schools. This ratio ensures each student garners personalized attention, fostering an environment that nurtures academic growth.

An integral pillar of its mission is the conscious promotion of sustainability. Penn exerts diligent efforts to ensure that its policies reflect reverence towards environment conservation, hence making a tangible impact.

In an era marked by globalization, Penn amplifies its commitment to fostering global engagement through myriad opportunities. One can frequently encounter a diverse array of initiatives designed to allow both students and faculty to contribute effectively to the global stage.

Standing as an emblem of tradition meshed with innovation, Penn's historic yet dynamic campus merges seamlessly with state-of-the-art facilities and a commitment to pioneering research. All these elements work in unison to uphold Penn's status as a premier academic institution.

University of Pennsylvania MSc in Data Science Program Description

The Master of Science in Data Science (MSE) program at the University of Pennsylvania is proficiently structured to arm students with the indispensable tools needed for an array of data-driven careers spanning technology, engineering, consulting, and more. Crafted to be completed in a duration of one-and-a-half to two years, the program meticulously blends avant-garde courses in machine learning, extensive data analytics, and statistics, while also offering a range of elective choices and prospects for domain specializations.

The program invites students to delve deep into subject areas such as network science, digital humanities, biomedicine, or public policy, accompanied by the provision for engaging in thesis or practicum projects. Characterized by its interdisciplinary nature, Penn promotes intersectoral collaboration, further bolstered by extracurricular endeavors like the Penn Data Science Group. Complementing the academic rigor are partnerships that host instrumental events, such as the Women in Data Science (WiDS) @ Penn Conference, fostering a vibrant and inclusive learning community.

Program URL:https://dats.seas.upenn.edu/program/

University of Pennsylvania MSc in Data Science Program Curriculum

Program Curriculum URL:https://dats.seas.upenn.edu/programofstudy/

  • Data-centric Programming
  • Surveys and Statistical Methods
  • Data Analysis, Artificial Intelligence
  • Simulation Methods for Natural Science/Engineering
  • Mathematical and Algorithmic Foundations


  • Data-centric Programming
  • Surveys and Statistical Methods
  • Data Analysis, Artificial Intelligence
  • Simulation Methods for Natural Science/Engineering
  • Mathematical and Algorithmic Foundations
  • Statistics for Data Science (ESE 5420)
  • Big Data Analytics (CIS 5450)
  • Mining and Learning (choose one):Intro to Machine Learning (CIS 5190)
  • Machine Learning (CIS 5200)
  • Modern Data Mining (STAT 5710)
  • Data-driven Modeling and Probabilistic Scientific Computing (ENM 5310)
  • Data Mining: Learning from Massive Datasets (ESE 5450)

Here are some key clubs and associations:

  • Penn Data Science Group (PDSG)Mission
  • Analytics at Wharton - Student Clubs
  • MSE in Data Science Program at UPenn CIS
  • Penn Data Science Group - Penn Clubs

Here are some of the extra activities associated with the program:

  • Extracurricular Student Groups
  • Women in Data Science (WiDS) @ Penn Conference
  • Data Science Academy
  • Academic Classes and Activities

University of Pennsylvania MSc in Data Science Fee Structure

To provide a brief account of the University of Pennsylvania MSE in Data Science Fee Structure:

Fees Component Amount (USD) 
Tuition & Fees  $71600
Application fee $90

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University of Pennsylvania MSc in Data Science Employment

The University of Pennsylvania MSE in Data Science program presents a rich spectrum of career prospects. These encompass several roles, varying from Clinical Research Associate, Research Assistant, and Professor to more specialized positions such as Registered Nurse, Statistician, and Chemist. The university also provides a myriad of opportunities in administrative, tech, and creative sectors, extending to roles such as Administrative Assistant, Chief Information Officer (CIO), and Graphic Designer. 

Remunerations highly depend on the chosen field and position. For instance, for a data scientist role at the university, one might anticipate a salary ranging between $80,000 and $100,000 annually. These earnings may be supplemented with added benefits, such as bonuses, stock options, or the opportunity for profit sharing.

The dynamic environment offered at the University of Pennsylvania cultivates professional growth and development. Its spectrum of roles not only meets diverse career aspirations but also propels collaborative and cross-disciplinary pursuits. The university embodies an intellectually invigorating environment, fostering progression in various fields.


Average Starting Salary

Companies Recruiting University of Pennsylvania MSc in Data Science Graduates

Some of the top companies that hire graduates from this program include

  • Booz Allen Hamilton
  • NASA
  • HM Revenue and Customs
  • FBI
  • CIA
  • Amentum
  • Leidos
  • Lockheed Martin
  • Johns Hopkins Applied Physics Laboratory
  • Boeing

Employment Overview URL: https://www.glassdoor.co.in/Salary/University-of-Pennsylvania-Data-Scientist-Philadelphia-Salaries-EJI_IE3025.0,26_KO27,41_IL.42,54_IM676.htm

University of Pennsylvania MSc in Data Science Scholarships available for International Students

The University of Pennsylvania provides scholarships that are designed to aid international students in their educational journey. This brief summary pertains to the scholarships available for international students at the University of Pennsylvania, drawing from the data gathered:

  • Financial Aid Policy: Penn's financial aid policy is prerequisites-free, encompassing admitted international students. It zealously strives to cater to 100% of their manifested financial need by offering grant funds complemented by work-study opportunities.
  • Grant Aid: Maintaining a policy of equality, the university enlarges its sway of fiscal assistance to admitted international students. This matches their full manifested financial demands in parity with those of domestic students.
  • Financial Aid Resources: The reservoir of financial aid for international undergraduates is somewhat reserved. Penn exercises conscious-need admissions for individuals who are yet to acquire citizenship or permanent residency in the U.S., Canada, or Mexico.
  • Institutional Funding: Typically, eligibility for federal funding doesn't extend to international students. The financial aid channelled to them is institutional and comprises grant funds as well as work-study opportunities.
  • Scholarship Opportunities: Stretching beyond university-based scholarships, external scholarship avenues exist at Penn for the international student body. Prime examples include the Inlaks Scholarships and the Paul and Daisy Soros Fellowships for New Americans.
  • Named Scholarships: Thanks to the generous donations of alumni and well-wishers, named scholarships have been created at Penn. These aim to alleviate the financial burden of undergraduate students, following precise stipulations and invariably tied to financial need.

In conclusion, international students granted admission to the University of Pennsylvania can leverage a plethora of scholarship opportunities and financial aid. These support systems ensure that the students' financial requirements are adequately addressed through a judicious mix of grants and work-study agendas.

What makes University of Pennsylvania MSc in Data Science unique?

The University of Pennsylvania MSE in Data Science program stands out for several unique features:

  • Interdisciplinary Learning: The program combines data science with fields like biomedicine, public policy, and digital humanities, allowing you to apply data science skills in various areas.
  • Flexible Curriculum: You can choose from a wide range of electives and focus areas, tailoring your studies to your interests and career goals.
  • Strong Industry Connections: Located in Philadelphia, Penn offers access to many startups and industry partners, enhancing practical learning and job opportunities.
  • Hands-on Experience: The program includes options for a thesis or practicum, providing real-world project experience under the guidance of faculty and industry mentors.
  • Career Preparation: Graduates are well-equipped for data-centric roles in tech, consulting, science, and policy-making, thanks to a curriculum that blends core data science skills with specialized knowledge.

University of Pennsylvania MSc in Data Science Contact Information

Whom should I contact in case of any doubts?

Telephone: (215) 898-5000

Photos & Videos of University of Pennsylvania MSc in Data Science

University of Pennsylvania Master of Science - MSc alumni

Conclusion: Should you apply to University of Pennsylvania MSc in Data Science?

The prospect of joining the University of Pennsylvania MSE in Data Science presents an exceptional occasion for immersive exploration in a vibrant and interdisciplinary milieu. This invigorating curriculum incorporates pioneering topics such as machine learning, big data analytics, and statistics. Simultaneously, it provides ample opportunities for domain-specific intensification and practical project application.

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Best colleges for MS in data science and data analytics in Germany.?

Data Science has caught the limelight in decision making as never before. With volume, velocity, and

variety of data increasing day by day the next-generation solutions are moving towards big data. Students

are constantly on the look-out for institutes offering unique course structures that give them an edge over

their peers in the industry.

Top Universities for Master of Data Science Colleges in Germany

1. TU Munich

(Master’s Mathematics in Data Science (English)

The Technical University of Munich (TUM) is focused on research with campuses in Arcisstrasse,

Garching, and Freising-Weihenstephan. The university is a member of TU9 and it is the only state

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2. University of Mannheim

(Data Science M. Sc.  (English))

The University of Mannheim is ranked among the 20 best research institutions in Europe. Being a

research-driven university, its faculty is actively involved in research in six disciplines namely, the

disciplines of business and economics, in the humanities and social sciences, in law, in business

mathematics and computer science.

3. Ludwig Maximilians University, Munchen

(Data Science (Masters)

Ludwig Maximilians University Munchen (LMU) offers master’s degree program in data science which is

designed to teach students to learn how to collect, analyze and critically approach large sets of raw data. 

4. Hochschule Darmstadt University of Applied Sciences

(Data Science (MSc. German)

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5. Jacobs University

(Data Engineering (MSc., English)

Jacobs University is a private, campus-based university offering the highest standards in research and

teaching in the field of data science and its applications.  

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