Skip to main
Student on computer in Hoover Library.

Data Analytics, M.S. (100% Online or Hybrid Low Residency)

McDaniel's Master of Science program will position you to play an essential role in your organization. Our approach teaches more than just the skills of data analysis; you'll be trained on how to present data in impactful and persuasive ways.

Mortarboard
Degree Types
Master's
Dollar sign
Program Cost
$21,250 ($675 per credit, $200 residency fee each semester)
Heart
Distinctive Requirements
Experiential Practica in Data Analytics
Document
Format
100% Online or Hybrid Low Residency with 3 day residency per semester

An Innovative Approach

Communicating with Data and Creating an Analytic Narrative

You’ll notice right from the start that the Professional Master of Science in Data Analytics at McDaniel College is uniquely designed to prepare you for professional success. Every course in the curriculum integrates skills and knowledge that prepares the student to think more critically and through a more peripherally focused lens. This requirement highlights not only our college’s liberal arts tradition but more importantly, our understanding of industry and how to help you distinguish yourself professionally.

See It In Action

Examples of assignments that require you to think broadly include:

  • Imagine you're the Chief Analytics Officer for your organization. In this role, you have been asked to write a code of conduct that all data analysts must adhere to. Write this code of ethics for your data analytics organization.
  • Students will provide a reflection on when data collection enriches a solution and when it becomes a violation of personal privacy.

An Online or Hybrid Low Residency Format: Designed With You in Mind

Our program is offered in two delivery formats - 100% online or a Hybrid Low Residency format - both designed for working professionals to allow for maximum flexibility with a focus on quality. Both formats are delivered in 8-week sessions to allow for accelerated completion of 10 courses in five semesters.

Our online option can be completed without ever having to visit campus while the hybrid low residency combines an intense 3-day residency each semester (5 times during the program) to enhance online learning. The three-day residency provides time for in-person interaction with your classmates and faculty while also having the flexibility that online learning offers.

Both the online and hybrid low residency options offer a quality experience with work-life balance. Students have the option to choose the modality of their choice. The hybrid low residency option meets the requirements for study in the US for International students seeking F1 visa.

Because this degree incorporates experiential learning throughout for graduation, International F1 students are eligible to participate in Curricular Practical Training (“CPT”) for the entire program in jobs or internships related to the course of study. International students should learn more about our CPT Policy here.

Requirements for the Master of Science in Data Analytics

Admissions Requirements

  • Completed application for Data Analytics (note: the M.S. in Data Analytics has its own application).
  • Official transcript verifying completion of an undergraduate degree from a regionally accredited college or university. A minimum cumulative grade point average (GPA) of 2.75 is preferred. International applicants may submit unofficial transcripts for application purposes but will be required to submit official transcripts prior to enrollment. 
  • Successful completion of required program pre-requisites:
    • Introduction to Statistics or equivalent (required)
    • Though not required, we find that additional work in Statistics, Calculus, and Linear Algebra coursework can be helpful.
  • Resume 
  • Letter of intent detailing professional goals relative to the program is recommended.

Degree Requirements

  • Successful completion of 30 credits hours outlined in the curriculum
  • Minimum 3.0 G.P.A.
  • Experiential learning throughout satisfied by employment or research practicum.

Residency Attendance Policy

Residency sessions are mandatory they are scheduled by the college for a three days each Fall, Spring and Summer semesters. 

For International Students

Any F-1 student who fails to attend any residency session will be counted as absent for the entire semester and will have his or her SEVIS record terminated. Additionally, each online course shall have progress and attendance requirements which will be strictly enforced to ensure maintenance of F-1 status. Residency sessions are mandatory they are scheduled by the college for a three days each Fall and Spring semesters and at one Summer semester only. 

Research Practicum

​​​​​The research practicum will be designed collaboratively between each student and a supervisory faculty member, with scope and objectives tailored to the academic and professional goals of the student. The cost of the research practicum is $400 per 16-week semester/$200 per eight-week half-term.  Qualified students may alternate between CPT and the research practicum for each eight-week half-term.

Want to see more courses?

Special Opportunities

Grad student on computer.

Hands-On Experiences

Incorporated into the program is a required practicum experience through which you will apply experiential knowledge alongside your academic studies. This will directly allow for you to utilize your classroom studies into real world situations. Because we know the power of applied learning, you may have multiple practicums throughout the program. 

 

Taste of Arabia presentation.

Equipped for the Real World

The world is a complex place and data can help us understand it. But only if we are able to communicate about it in compelling and persuasive ways. It's why each course in our program integrates a liberal arts component that requires you to think more deeply and broadly about your role. 

Two Data Analytics students collaborate at a computer.

On-Campus Residency

Each semester, Data Analytics students meet for a three-day intensive residency for face-to-face collaboration with professors and program peers.

Alum Dominic Byerly posing in a green field.

Q&A with Dominic Byerly '20

After completing his bachelor’s in Economics and Business Administration a year early, Dominic Byerly ’20 chose to pursue his master’s degree in Data Analytics through McDaniel’s hybrid professional program. Able to work while attending, Byerly can actively apply his education to his career experience.

Portrait of Professor Kevin McIntyre.

Program Spotlight: M.S. in Data Analytics

In his two decades as professor of Economics at McDaniel, Kevin McIntyre has developed courses, conducted research, advised students, run search committees and served on a variety of academic committees. McIntyre brings all that experience coupled with his expertise teaching and mentoring students to his role as coordinator of the college’s new master’s in Data Analytics program.