Data Science Blog
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Why I Chose Data Science – Satvick Yadlapalli
I am an international student from India who recently completed an undergraduate degree in Artificial Intelligence and Machine Learning at GITAM, Visakhapatnam, coming straight to my M.S. program at Middle Tennessee State University. Outside of my studies, I am actively involved in data science projects and play cricket in local leagues like the Nashville Cricket…
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Summer Internship Reflection – Hankook Tire America Corp.
Heli Patel This summer, I had the opportunity to intern with Hankook Tire America as a TB Sales Innovation Intern at the company’s North American headquarters in Nashville, Tennessee. I am a senior majoring in Data Science at Middle Tennessee State University. I am from Hermitage, Tennessee. One fun fact about me is that I…
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Seeing the Value of Data Science Internships with local Non-Profits: CHF and MTSU Kick Off Year Two
This fall, MTSU Data Science and the Christy-Houston Foundation (CHF) celebrated the launch of their second year of partnership with a kickoff event bringing together 13 student interns and the nonprofit organizations they’ll be working with throughout the semester. The kickoff event is more than just an introduction, it is the moment when months of…
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Building Automated Integrity Systems at Meta(WhatsApp): My Summer Internship
By Christabel Obi-Nwosu, MTSU Student About Me My name is Christabel Obi-Nwosu, and I am a senior Computer Science major with a minor in Data Science at Middle Tennessee State University (MTSU), graduating in December 2026. I am an international student from Nigeria, currently residing in Murfreesboro, Tennessee. Outside the classroom, I am deeply involved…
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The Impact of a Data Science Internship: Insights from MTSU Student Ethan Concors
I came to MTSU in 2019 from Lexington, Kentucky and got my B.S. in Audio Production in December 2023. I decided to return to MTSU to study Data Science in October 2024, and it has been an incredible experience. In my classes, I’ve learned extremely valuable skills in programming, analysis, statistics, and business intelligence. Despite…
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Faculty and Staff Spotlight – Dr. Yanfang Liu
Dr. Yanfang Liu teaches multiple data science courses as well as mathematics. DATA classes taught: DATA 2025 – Communicating with Data DATA 4950 – Data Science Capstone DATA 6300 – Data Understanding DATA 6500 – Cases in Data Science DATA 6990 – Topics Seminar in Data Science Year joined MTSU: 2024 Home Department: Department of Mathematical Sciences Research Interests:Inverse problems,…
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Faculty and Staff Spotlight – Dr. John Wallin
Dr. John Wallin is the Director of MTSU’s Computational and Data Science Ph.D. program. He is also an Astronomy professor. DATA classes taught: DATA 1010, 6300, 6550 – and CDS courses Year joined MTSU: 2010 Home Department : Physics and Astronomy Research Interests: Applications of LLM, Galaxy Collisions, XR Simulations Other Data Science involvement : Director, CDS PhD Program Why…
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Faculty and Staff Spotlight – Cheri Burt
Cheri Burt is the Executive Assistant for the Data Science program. Year joined MTSU -2021 What is your degree? B.A. in Broadcast Communications, M.S. in Mass Media Arts, Graduate Certificate in Public Relations One piece of advice for data science students- Take advantage of every opportunity to improve your skills, especially internships. Outside of work –Involved in…
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Faculty and Staff Spotlight – Kirstie Boyd-Carpienter
Kirstie is one of the undergraduate advisors for the Data Science Program. She advises students whose last names begin with L-Z. Year joined MTSU – as advisor, 2022 What is your degree? Professional Science Master’s Degree in Computer Science and Quantitative Analytics from Austin Peay State University, Bachelor’s Degree in Professional Studies, Information Technology at MTSU. Other Data Science…
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Quantum Machine Learning and Variational Quantum Algorithms for Differential Equations
MTSU Computational and Data Science Ph.D. student, Yuan Chen, presents elements from his dissertation proposal on Quantum Algorithms for Differential Equations. This talk presents a collection of works on quantum and hybrid quantum–classical methods for differential equations, with emphasis on the two directions: learning-based quantum models for dynamical systems and lightweight quantum recurrent architectures. Differential…
