
Use the links below to apply online at no cost, or to request further information.
Apply Online Request InformationJuniata College's Data Analytics concentration of our MBA program was designed in response to interest from both current graduate students and successful alumni working in Data Science. This concentration builds upon on Juniata’s academic strengths in math, data science, and business.
MBA students wishing to develop expertise in the rapidly-growing field of analytics can complete a concentration in data analytics to complement the core MBA coursework. Business intelligence and decision-support are critically important to all facets of organization.
MBA - Data Analytics Coursework
Concentration must include the MBA Core plus a minimum of 12 credits in analytics. Completion of the MBA with Data Analytics Concentration requires the completion of at least 36 credits
Fundamentals:
(students with previous experience or demonstrated mastery in the fundamentals courses may apply for a waiver with the program director.)
A graduate level introduction to data science through a focus on the language R. Support
tools and libraries such as Rstudio and the tidyverse will be emphasized. Students
will complete the data science boot camp (a weekend in person intensive or online
equivalent) at the start of this online course.
4 CreditsDS-500 Data Science Fundamentals
DS-510 Computer Science Fundamentals
A graduate-level introduction to Computer Science Fundamentals through a focus on the Python language. Students will complete the data science boot camp (a weekend in-person intensive or online equivalent) at the start of this online course.
4 Credits
Overview of basic statistical techniques including descriptive statistics, hypothesis
testing, and regression.
3 CreditsDS-520 Statistics Fundamentals
Analytics Electives:
DS-530 Multivariate Techniques
Multivariate statistical techniques including multivariate regression, logistic regression, and dimension reduction techniques. Students will get hands-on experience applying the topics covered to real datasets using R, a powerful and popular open-source statistical computing language.
3.00 CreditsPrereqs: DS-516 and DS-520.
This course considers the use of machine learning (ML) and data mining (DM) algorithms
for the data scientist to discover information embedded in wide-ranging datasets,
from the simple tables to complex data sets and big data situations. Topics include
ML and DM techniques such as classification, clustering, predictive and statistical
modeling using tools such as R, Python, Matlab, Weka and others.
3.00 CreditsPrerequisite: DS-500, DS-510, or by permissionDS-552 Data Mining
This course focuses on database design and relational structures, data warehousing
and access through SQL. Students will use SQL to create and pull data from database
systems. NoSQL and data warehousing are also covered to give students the necessary
background in database systems.
3 Credits Pre-Req: DS-510
DS-570
Database Systems
This course considers the management and processing of large data sets, structured,
semi-structured, and unstructured. The course focuses on modern, big data platforms
such as Hadoop and NoSQL frameworks. Students will gain experience using a variety
of programming tools and paradigms for manipulating big data sets on local servers
and cloud platforms.
3 Credits Prerequisite: DS-500 or DS-510 DS-575 Big Data Techniques
For more information, please contact:
For more information, please contact:
Jason Moran
Vice President for Enrollment and Marketing
814-641-3419
moranj@juniata.edu