MS in Predictive Analytics

The MS in Predictive Analytics prepares the next generation of leaders in data science. The increasing availability of digital information is changing the way businesses and organizations operate, and more and more companies are in need of data science professionals with deep analytical and technical skills who can analyze massive amounts of data and extract information from complex data sources. The curriculum emphasizes technical proficiency and practical experience, and provides students with advanced skills in data mining, statistics, machine learning, and big data processing.

Up-to-date Curriculum
Core courses in data processing, statistics, and machine learning as well as courses in specialized areas including Deep Learning, Recommender Systems, and Natural Language Processing.
Flexible Curriculum
Take advantage of the breadth of programs offered at the School of Computing, and choose among a large number of electives depending on your interests and career goals.
Practicum Experience
Gain real world experience though industry sponsored projects or internships, or through exciting and innovative research under the supervision of our faculty.
Specialization Tracks
Choose between four different specialization tracks; Computational methods, Marketing, Healthcare, and Hospitality.
Fully Online
The degree can be completed online or in-class. No distinction between our in-class students and online students.
Technical Knowledge
Strong emphasis on the technical and programming skills required for big data analytics.

Large Network of Alumni

Students take advantage of a large network of alumni who are leaders in their field, and work in a wide range of industries.

Students find jobs within three months from graduation and often before completing the graduate degree.

$90,000 Median Salary

Job Titles
Our graduates are employed as Data Analysts or Data Scientists. Many achieve a senior position not long after graduation. Our graduates work at:

  • Allstate
  • Amazon
  • BMO Harris Bank
  • Cars.com
  • Deloitte
  • Facebook
  • GE Capital
  • Groupon
  • IBM
  • Target