The Master of Science in Information Quality (IQ) at 糖心Vlog传媒 Little Rock is the first university-based program to offer a graduate degree Information Quality. The program is fully designed for those who want to be data leaders and want to go onto world鈥檚 most prestigious data industries as Data Scientist, Data Analyst, Data Steward, IQ Manager, Product Manager, Project Manager, Chief Data Officer and Director of Data Governance.

Dr. Richard Y. Wang is Director of MIT Information Quality (MITIQ) Program at the  Massachusetts Institute of Technology and has been instrumental in the establishment of the Master of Science in Information Quality degree program at the University of Arkansas at Little Rock (25 students enrolled in the first offering in September 2005.  He also holds an appointment as University Professor of Information Quality, University of Arkansas at Little Rock.

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MS Information Quality Program

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After completing his Bachelor’s degree, Syed started working with Accenture Consulting when he decided to pursue his Master’s degree in a well recognized public university in the United States. After hearing about 糖心Vlog传媒 Little Rock program from an Alumni, he decided to enroll in the MSIQ.

According to Syed, his experience in the MSIQ program prepared him for various roles and paved the way to multitude of opportunities in the data analytics and data governance fields. Syed has held several roles working for organizations in consulting services, financial and insurance services, and healthcare. In these companies, he has worked as a Data Quality Analyst, Data Quality Consultant, Data Quality Lead and currently as an Enterprise Analytics Consultant focused on Enterprise Data Governance with .

Sentara Healthcare is a diverse not-for-profit association of 12 hospitals headquartered in Norfolk, Virginia with various locations throughout Virginia in the United States of America. Sentara Healthcare provides services focused on ambulatory, home health and hospice, rehab and therapy centers, and also provides health insurance to its patients and members.

Syed’s current role is working at the Enterprise Analytics Department. The department oversees data governance, BI reporting, and analytics support. In his role, Syed helps in formulating and implementing data governance strategy, procedures, and guiding principles. He also works on creating policies around data stewardship, metadata management, data and information quality, data privacy, and master data management.

According to Syed, his experience in the 糖心Vlog传媒 Little Rock Information Quality Graduate Program provided him both the theoretical and practical learning opportunities helping him to excel in these roles. “The majority of my primary responsibilities in my current role are directly related to the courses I took in my master’s program. This is especially true for the courses I took on Information Quality Theory, Entity Resolution, Information Quality Tools, Information Visualization, and Information Quality Policy and Strategy”, he explained.

In addition, Syed stated “My greatest mentors were almost all the faculty members at 糖心Vlog传媒 Little Rock especially Dr.John Talburt, Dr.Daniel Berleant, Dr.Elizabeth Pierce, and Dr.Eric Nelson. I would also like to thank my fellow Alumni and colleagues – Raheel Mohammed, Mahmood Mohammed, and Huzaifa Mujtehdi.”

In his advice to current or prospective students in the MSIQ program, Syed said “The IQ program at 糖心Vlog传媒 Little Rock is very rewarding. Please pay attention to all the required courses in the program, as well as, the electives. Give special focus on courses such as Principles of Information Quality, Information Quality Tools, Entity Resolution, and Information Visualization which have real word practical approaches.”

He also added that students should think of how to apply the learning from the program in Big Data analytics, data science, and machine learning, and learn programming languages such as R, Python, and SQL.

The Information Science Department at the University of Arkansas Little Rock offers graduate certificates in data science and information quality, and master’s and doctoral degrees in both information quality and information science. All programs are offered both online and on-campus. The master’s in informaiton quality and in information science were ranked 19th best in the nation by US News and World Report.

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, a graduate student in the Information Quality Graduate Program at the University of Arkansas, Little Rock, was selected to attend the Computing Research Association (CRA) Graduate Cohort for Underrepresented Minorities and Persons with Diabilities () workshop held in Austin, Texas, March 5-7, 2020.

Adeola who is currently in the MSIQ program participated in the prestigious program which is aimed at preparing graduates students for careers in the computer science industry. The mission of the workshop is to enhance innovation by joining with industry, government and academia to strengthen research and advanced education in computing.

The third annual CRA-URMD Workshop attracted students from schools across the United States and Canada. CRA covered the travel expenses for all selected students that collectively represent a diverse set of computing-related research areas and institutions.

At the workshop, students spent three days interacting with senior computing researchers and professionals, who shared pertinent information on graduate school survival skills, as well as more personal information and insights about their experiences. The workshop also included a mix of formal presentations and informal discussions and social events.

According to Adeola, attending the Grad Cohort for URMD enabled her to build mentoring relationships and developed peer networks with other students from institutions across the United States and Canada and as well professionals from IBM, Google, Microsoft, Oak Ridge Research and Bloomberg respectively.

“I was able to learn about professional and personal development, how to make a decision to enroll into a PhD program, and balancing graduate school with other aspect of my lives.” Adeola explained. “This workshop also exposed me to the various research that other students are doing and provided insights on how I can start developing my research projects”, she stated referring to the poster session where students present their research and received feedback.

Adeola is a volunteer researcher at the Entity Resolution and Information Quality (ERIQ) Lab assisting with the regression testing of the OYSTER software, an entity resolution tool developed by IQ students.

For more information on the CRA URMD Grad Cohort Workshop visit .

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was graduated from the University of Arkansas at Little Rock’s Master of Science in Information Quality(MSIQ) program in May 2019.  During her studies, Yumeng was given an opportunity to work as a Data and Analytics Intern at in the Summer of 2018. After her graduation, Equifax offered her a full-time position as Data Scientist -Intermediate. Equifax is a global data, analytics, and technology company  and as well one of the three largest consumer credit reporting agencies in the United States. Equifax is headquartered in Atlanta, GA.

In her position as a Data scientist, Yumeng works on large data sets while manipulating and integrating diverse data sources, data types, and data structures into solutions. Her team also conducts research to develop new predictive modeling techniques, and they perform data quality checks and test the new models to identify lift/value to current databases.

Yumeng was born in China where she lived in until she was graduated from high school. After high school she came to the United States to pursue a Bachelor of Science degree in Statistics at the University of Minnesota – Twin cities where she was graduated in 2017. She then moved to 糖心Vlog传媒 Little Rock to pursue a Master of Science in Information Quality.

Yumeng heard about the 糖心Vlog传媒 Little Rock MSIQ program through a family member living in Little Rock. In her words,”Based on my past study and analytical project experiences, I realized the importance of data quality. Without good data quality, the rest of the analytical process is ineffective.”  This was the reason she chose to enroll in the MSIQ program.

Her experience in the master’s program has enriched her work at Equifax by enabling her to apply data quality dimensions and conduct data quality assessments in her day-to-day duties. In her job, she applies the knowledge and skills acquired in the Information Quality program from courses such as IQ Tools, Entity Resolution, Principle of IQ, and Information Visualization.

Yumeng also stated “I would like to express my appreciation to Dr. John R. Talburt, the Information Quality Graduate Program Coordinator, for all his help both in my academic and career pursuit. He assisted me in building industry connections and access to job opportunities. It was a great honor to have joined his OYSTER research team where I had the opportunity to deep dive into learning and research into entity resolution and information quality”.

Her advice to current and prospective students,”Actively look for opportunities to pursue your academic or career goals. Try different things in order to gain more experience and building your network of connections is important”.

The Information Science Department at the University of Arkansas Little Rock offers graduate certificates in data science and information quality, and master’s and doctoral degrees in both information quality and information science. All programs are offered both online and on-campus. The master’s in informaiton quality and in information science were ranked 19th best in the nation by US News and World Report.

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Xinming Li, a doctoral candidate in the Computer and Information Sciences PhD program, led a team to win First Place in the Graduate Student Division of the 2020  (AR-BIC) poster contest. The team included Ting Li, a doctoral candidate in the Bioinformatics program and faculty advisor Dr. John R. Talburt, Acxiom Chair of Information Quality at the University of Arkansas at Little Rock. The AR-BIC Conference is an annual event sponsored by the , and this year鈥檚 event was held on February 10-11, 2020 at the Wyndham Riverfront Little Rock. The winning poster titled 鈥淩eferenceToVec: Teach the Machine to Read People References鈥� was in line with the conference theme focused on artificial intelligence (AI) research and applications in Arkansas.

The poster described a new method for embedding textual references to persons such as customers, patients, students, into numeric vectors suitable for machine learning models for entity resolution. The entity resolution process determines whether two references are referring to the same person, or to different persons. Entity resolution is a key factor in determining the accuracy of data integration and data analytical processes, and is still a new area for the application of AI and machine learning.

The Arkansas Bioinformatics Consortium (AR-BIC) is comprised of the major research universities in Arkansas (including Arkansas State University, University of Arkansas, University of Arkansas at Little Rock, University of Arkansas for Medical Sciences, and University of Arkansas at Pine Bluff) plus the U.S. Food and Drug Administration鈥檚 National Center for Toxicological Research (NCTR) near Pine Bluff, Arkansas.

AR-BIC 2020 keynote and workshop speakers addressed the basic concepts and methodologies of AI, along with describing their advanced applications in biomedical research, food safety, drug discovery and development, and clinical settings. In addition, the consortium provided a networking and collaboration platform for the participants wanting to learn more about AI. A video of the poster competition can be found at 

The Information Science Department at the University of Arkansas Little Rock offers graduate certificates in data science and information quality, and master of science and doctoral degrees in both information quality and information science. All of these programs are offered online and on-campus. The MS in IQ and in IS were ranked 19th best in the nation by US News and World Report.

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