The Analytics Program is a full-time,
one-year Master’s program that resides at USF’s beachfront campus in the
Presidio National Park in San Francisco, just two miles from the USF
main campus. The program is designed for students with a strong
background in math, computer science, engineering or economics who seek
the specific techniques and tools involved in analytics — and the
business skills to apply this knowledge effectively and strategically.
The 38-unit program grounds you in both the techniques and skills
required to analyze structured and unstructured big data to derive meaning and drive business decisions. Graduates become data scientists and analysts in finance, marketing, operations, business intelligence, or other groups generating and consuming large amounts of data. Students study topics such as data mining, machine learning, statistical models, predictive analytics, econometrics, optimization, risk analysis, data visualization, business communication, and management science. You learn to acquire, filter, clean, organize, and store data using Python and SQL as "glue" between data sources and statistical tools such as R and SAS. The focus is on applying mathematics, statistics, and computer science to solve real problems.
You begin the first week of August with the uniquely designed, 3-week
Summer Boot Camp — an extensive review of probability, statistics,
linear algebra, linear regression, SQL, R and Python, microeconomics and
macroeconomics.
Practicums are special features of the program that
provide you with the professional skills, experiences and networking
needed to succeed in a business setting.
In the Intensive Project, you work in small teams on
real-world data sets, perform comprehensive analysis, and develop
reports and recommendations in preparation for a presentation to meet
the client’s goals.
Analytics Boot Camp (6 units) (Summer I – late July and August)
A
month-long intensive in three boot camps (computational, applied math
and economics) with exposure to modern statistical packages, SQL, R and
Python, review of probability and statistics, linear algebra, linear
regression, and review of basic micro and macroeconomics, including
pricing and demand, uncertainty and consumer modeling.
USF's MS in Analytics program is proud to have our students develop software and run analyses on Amazon Web Services (e.g., Amazon Elastic Compute Cloud, Amazon DynamoDB, and Amazon Relational Database).
Each student gets their own server or servers to manage so they get
experience with the mechanics of installing and configuring software.
Students have access to vast resources, albeit in bursts, to solve big
data projects and typically “submit” their projects by e-mailing a URL
on their server to the professor for grading.
Fall Semester (August-December)
Analytical Methods I
Computational Analytics I
Business Analytics I
Economic Analysis I
Practicum I
Intersession (January)
Intensive Project
Spring Semester (January-May)
Computational Analytics II
Information Visualization
Analytical Methods II
Business Analytics II
Practicum II
Summer II (May-June)
Applications of Analytics
Practicum III
Tuition and Scholarships
For tuition costs and fellowship opportunities click here.
