• This is a science (as opposed to business) based program that is focused on developing students’ math foundation in statistics and linear algebra, and computer programming to prepare them for coursework in topics like machine learning, time series analysis, customer analytics, and data visualization.
  • The MS in Data Science prepares graduates for careers in data analytics and related fields. This is done by developing students’ math foundation in statistics and linear algebra, and learning skills in the areas of data preparation, data modeling, predictive modeling, and a variety of data science / analytic solution areas such as customer analytics, fraud detection and healthcare analytics.
  • The education that students receive will allow them after graduation to:
    • Extract value from data to assist organizations in understanding past performance, predicting future events, and optimizing processes;
    • Apply the methods of data wrangling, analytic programming, data mining, quantitative methods, modeling, to prepare very large data sets for analysis;
    • Design and develop practical data oriented solutions using modern analytic techniques such as machine learning, time series analysis, and clustering;
    • Apply the scientific method to develop and test hypotheses using mathematical and statistical principles;
    • Conduct compelling communications through informative visualizations and effective presentation skills.
  • The ratio of student-faculty is 14:1.
  • University of Pacific ranks at #133.
  • The Turn around time for the offer letter is 30 days.
  • In the past two years, Total International Admissions were 628 (In 2019 – 378 and In 2020 – 250).