Class Profile

Class Size

50

Average Age

28

Average Work Experience

3 Years

Diversity

International:

5%

Others:

5%

New Jersey:

15%

New York:

10%

Pennsylvania:

65%

Career Outcomes

Median Earnings After Graduation

$1,10,000 / year

Graduation Rate

85%

Top recruiters

Boston Consulting Group

IBM

Google

Amazon

Microsoft

Oracle

Apple

Facebook

Ryanair

Airbnb

Amazon.com

The Boston Consulting Group

Spotify

Netflix

Airbus

Oracle Corporation

Fees and Funding

Tuition Fees

$48,000 / year

Overall Cost

$64,000 / year

FAQs

• Q: Is there an application fee? What are the application deadlines?

  

  A: Yes, there is a $65 application fee. We recommend applying no later than July 15 for a fall (end of August) program start, or December 6 for a spring (January) start. See the admission requirements page for more information. International application deadlines may differ; for more information visit the international applicant page.

• Q: Does it matter if I don’t have an engineering or technology undergraduate degree?

  

  A: Data analytics students usually have undergraduate backgrounds in quantitative fields such as IT, engineering, business, or math, with at least one semester of college-level statistics or probabilities. While there is no work experience requirement for admission, students are often employed in industries such as business, computer science, finance, healthcare, or pharmaceuticals. If you come from a different background, we may ask that you complete the pre-requisite course IST 140.

• Q: Are the programs STEM designated?

  

  A: Based in the tech-savvy Greater Philadelphia region, our programs cultivate the skills to collect, classify, analyze, and model data. Both programs are STEM designated, allowing 36 months total of Optional Practical Training (OPT), compared to 12 months for non-STEM degrees.

• Q: How many credits are required?

  

  A: Both the MDA curriculum and MS curriculum are composed of 30 credits. Schedule a meeting with a program representative for more information.

• Q: What is the difference between the Master of Data Analytics and the Master of Science in Data Analytics?

  

  A: The Master in Data Analytics (MDA) teaches students to design, implement, and apply data analysis techniques to a broad array of industries that use and analyze high quantities of data to determine trends, construct models, and make strategic decisions. This degree has a practice-oriented capstone and is ideal for those who want to immediately apply what they have learned. Through its emphasis on research, the Master of Science (MS) in Data Analytics is designed to prepare students for entry into data analytics doctoral programs. Rather than a capstone course, this program requires six credits of supervised research, culminating in a thesis paper. This program is ideal for those who want to enter a doctoral program, conduct research, or teach.