Program Description

With a flexible set of core requirements in statistics, mathematics and computer science, the master of science in data science leads to a wide range of potential application areas. By providing a solid background in the methods behind data science, the program enables our graduates to work well with data and be better prepared for the latest methods of focusing on large or dynamic data sets in their chosen fields. The breadth of the interdisciplinary training prepares students for an extensive variety of positions in data science, such as data analyst, data engineer or data scientist. Data analysts use mathematical, statistical and modeling techniques to solve problems; data engineers design, build and maintain an organization’s data and analytical infrastructure; and data scientists create sophisticated analytical models to build datasets and derive new insights from data.

Admission Requirements

• The department considers your GPA and transcript from all prior institutions, letters of recommendation, and other experiences, honors and qualifications found in your CV and personal statement. Of particular interest is your performance in calculus, linear algebra and advanced undergraduate or beginning graduate courses, such as analysis/advanced calculus, abstract algebra, differential equations or others. We are also interested in evidence of research potential.
• GRE not required

IELTS Requirements

Listening	Reading	Writing	Speaking	Overall
6.5	6.5	6.5	6.5	7.5

Remarks:

• Total 30 Credits program per credit $979.
• Yearly tuition fee is given
• I20(Visa Letter) can be obtained only after submitting a bank statement with a balance of USD $28919.