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Master of Organizational Analytics (MOA)
Building Your Strengths.
Master of Organizational Analytics
The new Master of Organizational Analytics is designed to provide students with an overview of applied statistical analysis, one of the most prominent, in-demand and growing fields. You will gain the ability to manage, process, analyze, and interpret data through taking a variety of courses, across several fields. Students can further customize their program by focusing on one of four key tracks in Business, Health Care, Leadership, or Logistics.
Program Formats:
Blended
NEW:One Year Track
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Credits Required: 32-34
Tuition:
- Full-time, one-year: $20,000
- Accelerated part-time: $695/credit
MOA Degree Requirements
The MOA from Elizabethtown College requires 32-34 credit hours of academic work. MOA concentrations are available in Business, Health Care, Leadership, and Logistics. Degree candidates must take at least 26 credits from Elizabethtown College. The MOA offers two tracks to completion, a full-time one-year program and an accelerated part-time option taking 2+ years.
Sample Full-Time, One-Year Course Schedule:
Sample Full-Time, One-Year Course Schedule:
| Fall 2020 | Spring 2021 | ||||
| DAT 200/MOA 500 | 3 | Reddig | DAT 315/MOA 515 | 3 | McDevitt |
| DAT 300/MOA510 | 3 | Krichevskiy | DAT 400/MOA 600 | 4 | Krichevskiy |
|---|---|---|---|---|---|
| MOA 570 (new) | 3 | Lehman/McDevitt/Li | SCPS or BA course | 3/4 | Paul of SCPS |
| MA 252/MOA 552 | 4 | Sigdel | SCPS or BA course | 3 | Paul or SCPS |
| SCPS | 3 | SCPS | SCPS or BA course | 3/4 | Staff or SCPS |
| 16 | 16-18 | ||||
Application Requirements
Application Requirements
To be eligible to apply to graduate business programs, you must:
- Official transcripts conferring a baccalaureate degree from a regionally accredited college or university.
- have an undergraduate grade point average of 3.0 or higher (waivers can be granted based on professional work experience and other factors)
- have a minimum of three years of professional leadership/management experience (may include experience gained during your undergraduate education)
- have time to devote to your coursework; in an accelerated program, time spent outside of class is considerable
Application Deadlines: This program has rolling admissions. See the SCPS academic calendar for registration deadlines.
Application Process
Please feel free to contact or meet with our admissions team at any point during the application process. Our admissions counselors are not only a great resource to guide you through the process and answer questions, they are skilled at helping our applicants find the best program and options to help them reach their goals!
How to Apply: Complete the graduate application process via the online portal which includes:
- Submitting a $50 nonrefundable application fee (Waived for Elizabethtown College graduates).
- Requesting official transcripts from all undergraduate institutions attended.
- Uploading your current resume.
- Uploading a 3-5 page essay addressing your:
- Statement of professional goals
- Current approach to leadership/management
- Long-term goals for the application of the graduate degree to your professional life
-
Providing two recommendations. Instructions are available in the Slate applicant portal, however, one recommendation must be from your current supervisor. The second recommendation can be from an individual who can comment on your professional and/or academic qualities. Both recommendations will become part of your application file and will not be disclosed to any unauthorized individual without your consent.
Course Descriptions
Summer 2021 (optional):
DAT 320/ MOA 520 (3) Reddig – This course prepares students to take the Oracle Exam and is only offered online during the summer term. This course is in included in the tuition price, but not required.
DAT courses
DAT 200/MOA 500 - Data Analytics 2.00 credits. (3 credits for graduate)
Big Data and Statistical Analysis provides an introduction to the fundamentals of data preparation and management, data mining, and forecasting using SAS® Enterprise Miner. This is an application-driven course allowing students to gain an understanding of Enterprise Miner software environment, statistical basics of data mining and forecasting, and the practical issues involved in applied forecasting in a business setting. Upon completion of this course, students shall be able to independently carry out data analysis and forecasting projects. *Prerequisite(s): MA 251.
DAT 315/MOA 515 - Machine Learning 2.00 credits. (3 credits for graduate)
An overview of machine learning techniques using R. Topics include an introduction to programming in R, the use of nearest neighbor and naive Bayes algorithms, support vector machines, hidden Markov models, and market basket analysis as well as model evaluation and improvement. *Prerequisite(s): MA 251, and CS 113 or CS 121 or MDA 570.
DAT 320/MOA 520 - Advanced SQL 2.00 credits. (3 credits for graduate)
Get ready to acquire some seriously marketable computer skills! A company’s biggest asset is their data and most companies’ databases use the Structured Query Language (SQL) to manage data. DAT 200 teaches students to extract data from a database, and DAT 320 adds to this by teaching students to design and build databases with plenty of progressively challenging assignments with the goal of preparing successful students to pass the Oracle® Certification Exam. Oracle is the most popular relational database in the world, and the national average salary for a database administrator is $89,626 (glassdoor.com, November 8, 2017). *Prerequisite(s): DAT 200.
DAT 400 /MOA 600 - Data Analytics Capstone 4.00 credits. (Thesis for graduate)
Under the supervision of a faculty mentor, students use their knowledge of data analytics to complete a project contributing to research in an academic area or to solve a problem for a local business. Projects will involve data collection, data cleaning, data analysis, and reporting results both orally and in writing to a domain expert or business leader. *Prerequisite(s): Students must have completed 14 credits in the minor or permission of the instructor. Signature Learning Experience: Capstone. Register by Instructor.
New experimental course – MOA 570 – Applied Programming 3.00 credits.
This course will cover the required programming concepts for data analytics, taught in R or python as the DAT/DS faculty choose. This course will replace prerequisites of CS 113 or 121, in MDA courses. This course will be taught in the fall by adjunct George Lehman, Tim McDevitt, or Peilong Li.
Certifications
If students also take the DAT 320/ MOA 520 course offered online over the summer they will additionally be prepared to pass the Oracle® Certification Exam.
At the completion of the program, graduates may also have the ability to earn the SAS Joint Certificate. Additional information and steps will be presented at the applicable time.
Are you ready to elevate your career? Get started now with an MOA from Elizabethtown College.
717-361-1411One Alpha Drive
Elizabethtown, PA 17022-2298© 2019 Elizabethtown College
Elizabethtown, PA 17022-2298© 2019 Elizabethtown College
Elizabethtown College does not discriminate on the basis of gender, race, color, religion, age, disability, marital status, veteran status, national or ethnic origin, ancestry, sexual orientation, gender identity and expression, genetic information, possession of a general education development certificate as compared to a high school diploma, or any other legally protected status. This commitment applies but is not limited to decisions made with respect to hiring and promotion, the administration educational programs and policies, scholarship and loan programs, and athletic or other College administered programs. Discrimination or harassment of any kind is strictly forbidden.