Designed to up-skill and re-skill in-career and transitioning professionals, The Masters of Translational Data Analytics transforms you into a one of a kind master data storyteller. Our program embeds design thinking into the foundations of data analytics, data computing and programming and machine learning. You’ll get everything you need to be able to assemble and translate end-to-end big data workflows into compelling stories and user interfaces.
Your courses will be a blend of traditional classroom learning, seminars, and capstones with a focus on taking what we teach and applying it through experiential learning.
Here’s what we teach:
Source: Investing in america’s data science and analytics talent: The case for action, April 2017 Business Higher Education Forum and PwC report
“Translational” is often used in the clinical sciences to mean that we act as a bridge between “bench” research and the patient’s bedside. In this context, “translational” means that you’ll be able to perform specialized analytics and translate that into accessible and understandable data stories which people can easily understand.
Students from a variety of backgrounds can and have been successful in our program. That includes many students without prior experience in programming or data analysis experience. In other words, we don’t require you to have any previous experience in programming or data analysis. Your courses will give you what you need to get up to speed.
However, students who come in with little to no previous experience may find their learning curve to be steeper during the early semesters of the program. If you are someone without a lot of technical experience in Python, R, or a firm statistics background, we recommend that you consider supplemental preparation before you begin with us in the Fall. There are many online resources and courses, as well as reference materials which will help you learn the foundations of these before you start with us. Contact us to discuss what some of these options are!
We’re looking for curious, hardworking problem solvers who thrive in team environments. Our program is built to accommodate a range of backgrounds, so you don’t need to be a computer scientist, statistician or data analyst to be successful with us.
Any work experience! It is important to highlight how it is relevant to the program.
We’re aiming to have around 30 people per cohort. In a lock-step cohort based program like ours, we know that small environments mean a lot more individual attention for our students.
You should always check to make sure you have the most up to date figures. You can access the per semester tuition tables for the University HERE.
Estimated resident tuition and fees are below (figures may change over time)*:
|Semester||Credit Hours||Instructional Cost||General Fee||Union Fee||Activity Fee||Recreation Fee||COTA||RESIDENT TOTAL|
Estimated non-resident tuition and fees are below (figures may change over time)*:
|Non-Resident Surcharge per credit hour||1544.75|
|Semester||Credit Hours||Base Instruction + Fees||Non-Resident Fee||Non-Resident Total|
In light of the coronavirus pandemic, FALL ’20 and SPRING ’21 classes have been moved online. We are in process of pursuing a fully online format for future semesters to provide consistency for students. We will not be formally recognized as an online program until we are approved through the state of Ohio. Stay tuned for updates for subsequent semesters.
Fall ’20 and Spring ’21 classes may be completed either synchronously or asynchronously via recordings. Classes take place during evenings during the week.
We know that learning is best when it’s applied to real-world problems. We work with a network of real community partners who will provide us with challenge problems and data sets. That way, you’re learning by engaging with real problems and developing a portfolio of results. Our program also integrates a two-semester sequence of capstones where you will integrate and apply everything you’ve learned.
Our minimum criteria are below:
*For International Applicants
What you’ll need to complete the application:
Students are eligible for a test exemption if they meet either of the two profiles below:
**Students who do not meet either of these profiles may still be granted an exemption based on a combination of education and experience. Please email us at email@example.com with a rationale of why you are seeking an exemption and under what circumstances.
Yes, we do plan to have a brief conversation with applicants prior to making a final admissions decision.
Personal Statement Prompt (1 page maximum): In case study format containing (a) a statement of problem, (b) approach and analysis, and (c) results, insight or impact: Describe an example from your professional experience about how you have or could have applied data analytics to solve a business or other work challenge.
Essay question prompts (250 words max):
Domestic students should apply no later than: 8/02/2021
International students should apply no later than: 06/02/2021
We conduct rolling review of applications. We highly suggest you turn in your complete application before these deadlines to give yourself the best chance of admission.
The vibrant diversity of thought, skills, backgrounds and identities reflected in our community is one of our greatest strengths. The Masters of Translational Data Analytics is committed to creating a program which includes and honors the identities, skills, thinking and working styles and personal backgrounds of those in it.
Our diversity and inclusion goals are to: