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Use the links below to apply online at no cost, or to request further information.
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Juniata 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.)

DS-500  Data Science Fundamentals

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 Credits


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


DS-520  Statistics Fundamentals

Overview of basic statistical techniques including descriptive statistics, hypothesis testing, and regression.

3 Credits

 

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.


DS-552 Data Mining

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 permission


DS-570   Database Systems

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-575  Big Data Techniques

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 


For more information, please contact:

For more information, please contact:

Jason Moran
Vice President for Enrollment and Marketing
814-641-3419
moranj@juniata.edu