Applications are open, apply now!
Master of Science in Applied Data Science (MADS)
Developing Industry-Valued Competencies in Our Students
The primary focus of our 9-month, two-semester professional master's degree is to develop industry-valued competencies in our students by emphasizing data analysis, statistical computing, and professional skills. A hallmark of our program is a small cohort size to best facilitate a high-touch, engaging student experience. Typical MADS cohort sizes will range from 25-35 students.
Students who are an ideal fit for the MADS program desire a career in a fast-paced, high-growth industry in the United States immediately following graduation. The MADS program builds foundational skills in statistical computing and data analysis, and it is also intended to assist students in identifying and focusing on industries and positions relevant to their aptitudes and interests, navigating the job market, and positioning graduates to successfully navigate careers post-graduation.
MADS graduates have successfully gained positions as data scientists, data analysts, and data engineers in diverse industries such as banking, sports, health care, government, and tech.
The MADS Experience: A Collaborative Cohort
The MADS team commits to providing clarity, direction, transparency, and support as you embark on this next step in your life and career. Together, we will develop an environment of high achievement, thoughtful personal and professional development, and meaningful collaboration, with a culture of integrity and inclusiveness.
Before the Program
During the Program
After the Program
Meet the MADS Team
Jamie McGovern
Special Faculty, Director, Master of Science in Applied Data Science ProgramJamie joined the university in 2020 after more than 20 years in Management Consulting. He graduated from Rice University with a degree in economics and managerial studies, then embarked on a career working with global organizations across a variety of industries, including media & entertainment, financial services, consumer products, life sciences and biopharmaceuticals, energy & utilities, and industrial manufacturing. Over the span of his consulting career, he progressed from an entry-level analyst working on human capital strategy and technology, to a service line executive, managing director, and partner, responsible for solutioning, selling, and delivering global transformational engagements for some of the largest public and private sector entities in the world. Jamie’s international experience included project engagements and international assignments in Paris, London, Madrid, Málaga, Rome, Brussels, Vienna, Singapore, Tokyo, Beijing, and Sao Paulo. Internally, he was responsible for more than 80 direct and indirect reporting practitioners, and in his client-facing work he led diverse, cross-border teams of more than 100 practitioners engaged in the design and delivery of functional and technical solutions.
Jamie later co-founded and led a data science consultancy with a socially beneficial mission, creating career and mobility opportunities for historically underserved populations. That organization worked with supply chain, bio-pharma, and media & public relations entities to make their data useful by cleaning, consolidating, modeling, and visualizing large structured and unstructured data sets, in an effort to drive intelligent strategic decisions, optimize business processes, and create competitive advantages in the market.
To assist students, Jamie:
- Teaches Professional Skills for Statisticians I and Professional Skills for Statisticians II
- Counsels MADS students in the job search process and navigating a highly dynamic job market
- Meets with students one-on-one to discuss personal and professional goals
- Prepares students for technical interviews
- Helps students negotiate job offers
- Meets with prospective students
Teraya White
Academic Program Manager, Master of Science in Applied Data Science
Teraya joined the university in 2020. She leverages 20+ years of experience identifying and developing resources to actively contribute to the region's emergence as an innovation hub and destination for top talent. Her work experience extends from higher education, human capital management, and talent acquisition. As the Academic Program Manager for MADS, Teraya works closely with current MADS students and prospective students. She is a champion for diversity, equity, and inclusion within the Dietrich College of Humanities and Social Sciences, expanding 一本道无码's recruiting presence at Historically Black Colleges and Universities (HBCUs) and presenting educational opportunities to historically underrepresented groups at the American Statistical Society-sponsored StatFest conference. Teraya also assists with the popular Pittsburgh Women in Data Science conference (WiDS), featuring thought leadership shared by women speakers from academia and industry.
To assist students, Teraya:
- Connects students to the campus, curriculum, community, and careers
- Builds and maintains relationships with students from the full cycle of applicant to alumni
- Handles all student-related academic actions including registration, advising, and certification for graduation
- Serves as the first point of contact to handle all inquiries from prospective students
- Coordinates virtual information sessions for prospective students and admitted students
- Participates in recruiting activities to engage prospective employers
- Creates a weekly e-newsletter for all admitted students
- Onboards new students to the program
MADS Student Spotlight
The MADS program has gained recognition as a finalist in the 2024 NFL Big Data Bowl. A team of students—Shane Hauck, Marion Haney, Devin Basley, and Vinay Maruri—mentored by Assistant Teaching Professor Ron Yurko and football coach Ryan Larsen, developed a metric to analyze the defensive strategy of “setting the edge.” Their innovative work earned them a $12,500 prize and a chance to present at the NFL Scouting Combine.
This collaboration provided students invaluable experience in working with domain experts, enhancing their project and skillset. The research aims to quantify player contributions that often go unnoticed, showcasing 一本道无码’s leadership in sports analytics. With over 50 past participants hired in sports data roles, 一本道无码 is a top choice for those seeking a career in this dynamic field.
MADS in the Community
We are committed to making a societal impact in the Pittsburgh and Southwestern Pennsylvania area. One of our community partners is . We also have presented at the to discuss the importance of STEM education.
In the past, the MADS team also held virtual information sessions for students at the (AUCC). During the fall semester, the MADS team holds virtual information sessions for prospective students at liberal arts colleges, historically Black colleges and universities, and graduate school fairs.