Information Quality Program https://ualr.edu/informationquality University of Arkansas at Little Rock Mon, 11 Feb 2019 19:01:11 +0000 en-US hourly 1 https://wordpress.org/?v=5.0.3 MSIQ Graduate Saichand Mattapally Accepts Data Engineer Position with Amazon https://ualr.edu/informationquality/2019/02/11/saichand-mattapally-amazon/ Mon, 11 Feb 2019 19:01:11 +0000 https://ualr.edu/informationquality/?p=2499 Saichand Mattapally, a 2016 graduate of the University of Arkansas at Little Rock Master of Science in Information Quality (MSIQ), is joining Amazon as…  

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Saichand Mattapally, a 2016 graduate of the University of Arkansas at Little Rock Master of Science in Information Quality (MSIQ), is joining Amazon as a Data Engineer. Amazon provides the world’s largest online retail service. Amazon also provides a number of other services such as audio and video streaming and cloud computing services. By revenue, Amazon is the largest internet company in the world. In 2017, after his graduation from the MISQ program, Saichand began work as a Big Data engineer at Inuvo, an ad-tech company. At Inuvo, Saichand built Big Data pipelines using technologies such as Spark and Hive.

In his new Data Engineer position at Amazon, Sai will be working in an R&D team helping fulfillment centers function smoothly. In this role he will be building a data warehouse designed to support business intelligence insights. He will be working with cutting edge technologies like AWS, Redshift, and other Big Data technologies.

Sai is orginally from Warangal, India, where he completed his undergradudate degree from the SR Engineering College with a major in Electronics and Communication. According to Sai, “My sister Shruthi Sankineni (MSIQ 2015) first told me about the UA Little Rock Information Quality Graduate Program she was attending. At the time, I was doing my research on different data-related academic programs and found out the MSIQ program had the right course work, so I decided to enroll. The courses, faculty, and the on-campus scholarship opportunities were the driving factors for my decision to enroll. I am now very interested in the field of information quality because of the knowledge and skills I acquired through the program. My favorite courses were Entity Resolution and the Social Computing. Now I get to apply this knowledge and these skills in many ways in my work, especially Data Governance and Entity Resolution.”

Saichand futher commented “I would like to thank my parents for encouraging me and supporting me to get my master’s degree. Also a big thanks to my sister Shruthi for introducing me to MSIQ program, and without whom, I wouldn’t have been able to come to the U.S.  Special thanks to Brian Keltch, Deputy CIO and Director of Enterprise and Application Development for the UA Little Rock IT services, for being my mentor and giving me appropriate career direction. I would also like to thank my friends and classmates Gowthami, Adithya, Chakri, Dharani, Saikiran, Bhanu, and Ajay for their support at all times.”

His advice for other students “Just try to get most of every course in the program, and you will definitely land a good job!” In fact, Sai is the second MSIQ graduate to join Amazon as a Data Engineer. Abhishek Kumar (MSIQ 2015) accepted a similar position with Amazon in fall 2018.

Established in 2006 by the University of Arkansas at Little Rock Donaghey College of Engineering and Information Technology (EIT) in collaboration with the Massachusetts Institute of Technology Chief Data Officer and Information Quality (MIT CDOIQ) and Acxiom Corporation, the UALR Information Quality Graduate Program is dedicated to promoting state of the art curriculum in information quality education, contributing new ideas to the information quality knowledge base, and establishing information quality partnerships with the community, government, and industry.  The program’s online Master of Science in Information Quality along with the online Master of Science in Information Science are ranked by US New & World Report among the 15 Best Online Information Technology Programs in the nation.

 

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MSIQ Student Akhila Thirumalareddy Awarded 2019 Acxiom Diversity Scholarship https://ualr.edu/informationquality/2019/02/03/akhila-acxiom-diversity/ Sun, 03 Feb 2019 21:47:33 +0000 https://ualr.edu/informationquality/?p=2492 Acxiom Corporation announced that Akhila Thirumalareddy, a third semester student in the Master of Science in Information Quality (MSIQ) program at the University of…  

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Acxiom Corporation announced that Akhila Thirumalareddy, a third semester student in the Master of Science in Information Quality (MSIQ) program at the University of Arkansas at Little Rock (UA Little Rock), has been awarded an Acxiom Diversity Scholarship in the amount  $5,000. The Acxiom Diversity Scholarship Program was designed by Acxiom Corporation as a way to create an inclusive and supportive workplace environment. Akhila’s award was one of 8 Diversity Scholarships awarded by Acxiom in 2019.

Akhila joined the MSIQ program in the spring of 2018 after completing her Bachelor of Science in Engineering and Computer Science at the Jawaharlal Nehru Technological University in Hyderabad, India. Akhila is also a teaching assistant for the UA Little Rock Information Science Department, Social Media Manager for the UA Little Rock Academy for Teaching and Learning Excellence, and a member of the OYSTER Research Team in the UA Little Rock Center for Advanced Research in Entity Resolution and Information Quality (ERIQ).

In an interview, Akhila stated “I am honored to have received this scholarship, and I appreciate the value Axciom places on helping aspiring students across the US advance their education. The scholarship will go a long way in acheving my goal, and it motivates me emotionally as well as to know my hardwork is being recognised.  Dr. John R. Talburt, Coordinator for the UA Little Rock Information Quality Graduate Program and who is highly talented and with immense knowledge in the field of information quality, supported me and provided guidance in my course work and my career interests. He is always there for any kind of help for each and every student. Thanks to Dr. Talburt and Acxiom for choosing me as one of the recipients for this presitigous scholarship. ”

Akhila is not the first MSIQ Student to receive the Acxiom Diversity Scholarship. Graduate Aziz Eram (MSIQ 2017) received the Acxiom Scholarship in 2016 and is currently employed as a Data Engineer by Acxiom. Alumnus Abhishek Kumar (MSIQ 2015) was awarded the Acxiom Diversity Scholarship Award in 2015. After graduation and working for Acxiom full-time, Abhishek recently accepted a Data Engineer position with Amazon. “We are very proud of the many distinguished accomplishments of the students and alumni of the UALR Information Quality Graduate Program,” said Dr. Talburt. “It is especially fitting the Scholarships for Akhila, Eram, and Abhishek came from Acxiom, one of the original founders of the UA Little Rock Information Quality Graduate Program in 2006.”

Acxiom is an enterprise data, analytics and software Services Company. For more than 40 years, the company has been a leader in harnessing the powerful potential of data to strengthen connections between people, business and their partners. Acxiom is headquartered in Little Rock, Arkansas with additional locations around the United States. The company also has operations in Europe, Latin American and Asia Pacific.

Diverse students who are enrolled full-time in a post-secondary degree program in Computer Science, Computer Information Systems, Management Information Systems, Information Quality, Information Systems, Engineering, Mathematics and Statistics or related areas of study are eligible for the Acxiom Diversity Scholarship program. In addition to the monetary award, scholarship winner are also eligible to receive a paid internship at one of Acxiom’s worldwide locations.

Established in 2006 by the University of Arkansas at Little Rock Donaghey College of Engineering and Information Technology (EIT) in collaboration with the Massachusetts Institute of Technology Chief Data Officer and Information Quality (MIT CDOIQ) and Acxiom Corporation, the UALR Information Quality Graduate Program is dedicated to promoting state of the art curriculum in information quality education, contributing new ideas to the information quality knowledge base, and establishing information quality partnerships with the community, government, and industry.  The program’s online Master of Science in Information Quality along with the online Master of Science in Information Science are ranked by US New & World Report among the 15 Best Online Information Technology Programs in the nation.

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UA Little Rock Online Master of Science in Information Quality Ranked 15th by US News & World Report https://ualr.edu/informationquality/2019/02/02/usnews15/ Sat, 02 Feb 2019 15:54:25 +0000 https://ualr.edu/informationquality/?p=2490 Little Rock, AR, February 2, 2019— The University of Arkansas at Little Rock (UA Little Rock) Master of Science in Information Quality (MSIQ) has been…  

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Little Rock, AR, February 2, 2019— The University of Arkansas at Little Rock (UA Little Rock) Master of Science in Information Quality (MSIQ) has been ranked among the 15 Best Online Master’s in Information Technology Degrees by US News & World Report. Last year, the program was ranked 27th in the nation.

According to Dr. John R. Talburt, Coordinator for the Information Quality Graduate Program, “We believe our ranking continues to rise because of the diligent effort of our faculty and staff to make our student’s online experience as engaging and meaningful as an in-classroom experience. We have been learning about, and experimenting with, different modes of online delivery since 2007, the second year of the program.” Most recently the university has added the Information Quality and Information Science Tracks of the Computer and Information Sciences PhD program to its online offerings.

Established in 2006 by the UA Little Rock Donaghey College of Engineering and Information Technology (EIT) in collaboration with the Massachusetts Institute of Technology Chief Data Officer and Information Quality (MIT CDOIQ), the UALR Information Quality Graduate Program is dedicated to promoting state of the art curriculum in information quality education, contributing new ideas to the information quality knowledge base, and establishing information quality partnerships with the community, government, and industry. In 2016, the university also established the Institute for Chief Data Officers (iCDO) dedicate to research and training related to the emerging role of the Chief Data Officer.

For more information about the US News & World Report ranking of the UA Little Rock MSIQ program visit this page.

For more information about UA Little Rock online programs visit our eLearning Home Page

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Information Quality Program Graduate Abhishek Kumar Helps Amazon Organize its Data https://ualr.edu/informationquality/2018/09/02/abhishek/ Sun, 02 Sep 2018 18:19:04 +0000 https://ualr.edu/informationquality/?p=2481 Abhishek Kumar is a 2015 graduate of the Master of Science in Information Quality (MSIQ) at the University of Arkansas at Little Rock (UA…  

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Abhishek Kumar is a 2015 graduate of the Master of Science in Information Quality (MSIQ) at the University of Arkansas at Little Rock (UA Little Rock). Abhishek recently accepted a Data Engineer position with Amazon in Seattle, WA. Amazon provides the world’s largest online retail service. Amazon also provides a number of other services such as audio and video streaming and cloud computing services. By revenue, Amazon is the largest internet company in the world. In this article, he shares the story of his education and work experiences in his own words.

“In my Data Engineer role at Amazon, I work on the Financial Data Lake and the ETL pipelines streaming billions of records each day. I also work on the data warehouse used for predictive modeling and business intelligence. There I am helping solve complex, data-related issues in the financial technology (Fin Tech) industry. At Amazon, I am fortunate to have to the opportunity to work on many leading edge technologies such as Amazon Web Services (AWS), Spark, Redshift, and many other Big Data tools.”

“Prior to accepting my position at Amazon in June 2018, I worked as a Solutions Developer for Acxiom Corporation in Little Rock, AR. At Acxiom, I helped deliver solutions for clients processing petabytes of data and developed data pipelines into commercial databases. I also developed programs and tools in the Hadoop environment necessary to meet the client’s data requirements. At Acxiom, I used my prior knowledge and experience in the Big Data environment to setup workflows using tools such as Hive and HBase to meet ad hoc analytical requirements on very-large data stores.”

“Prior to working at Acxiom, my first job after graduation from the MSIQ program at UA Little Rock was as a Data Quality Analyst for the Arkansas Department of Education’s (ADE) Research and Technology Division. First, working as a student intern, then as a full-time employee, I learned to use Hadoop map/reduce, Hive, and custom Java applications to process large volumes of data. While at ADE, I helped develop a data platform called the Arkansas Longitudinal Data System (ALDS). ALDS is an entity resolution (data integration) service capable of processing millions of records. ALDS is also an entity identity information management system able to perform identity resolution, identity capture, and identity update on an internal identity knowledgebase. The system is still being used by various state agencies to support data matching and longitudinal studies.”

“In another assignment at ADE, I developed a data profiling tool called ADE-DPS (Data Profiling System), specifically for education data. ADE-DPS performs specific profiling tasks while also producing business rules for ALDS and makes entropy calculations used to determine the accuracy of ALDS.”

“As far as my personal history, I am originally from India where I completed my undergraduate from Loyola Academy in Hyderabad, Telangana, majoring in Computer Science and Engineering. I also hold a Post-Graduate Diploma in Computer Applications from Sikkim Manipal University.”

“In India, I had the opportunity to gain some industry experience by working two years for Cognizant Technology Solutions. At Cognizant, I worked as a Data Expert, SQL Developer, and Programmer on a number of different projects, mostly concerned with data integration, data warehousing, and application development.”

“While working at Cognizant at my first job in the role of Data Expert and SQL Developer, I had a pretty good exposure to the field of data, and I understood its day-to-day Importance. It was then I started exploring career options where I could specialize in the field of data quality management. At that time, one of my very good friends, Mohammed Mahmood, was already pursuing his MSIQ degree at UA Little Rock and told me about the program. Through Mohammed, I connected with Dr. John R. Talburt, the Coordinator of the MSIQ program. Dr. Talburt was a great help to me in providing the bridge to my next career option. After many email exchanges with Dr. Talburt, I decided to enroll in the MSIQ program at UA Little Rock with Dr. Talburt as my advisor. It turned out to be one of the best decision I have made so far. The information quality graduate program at Little Rock is unique. It is the only program specializing in information quality graduate degrees. The curriculum is always up to date with the latest technology being used in industry. Students in program not only get the opportunity to work in their area of study, but they can also share their knowledge and experience with their fellow classmates. The program exposes students to many different ideas and technologies to help them decide on a career option and the job role likely to be the best fit for their skills and interests.”

“I was a full time, on-campus student in the MSIQ program from August 2013 to May 2015. The MSIQ program was a great experience for me, and it helped me grow a lot in terms technology and knowledge of the data industry. I was particularly inspired by the courses Entity Resolution, Information Quality Tools, Information Visualization, and the Capstone Project. These are some of the courses that will push you beyond your limit to research and explore new technologies and tools, and to come up with your own ideas and methods for solving problems.”

“From these courses, I acquired the knowledge and skills I needed to lead the implementation of the ALDS entity resolution engine for ADE and to developed other tools like the ADE-DPS and the Entropy Calculator. The courses also gave me a head start on working in the Big Data environment and the technologies I later came to use at Acxiom. I have always been solving data management data integration issues, and I find most of the solutions I develop are based on what I learned in the MSIQ program. Over my career, the education I received at UA Little Rock has helped me stay one step ahead in solving complex data-related issues and has really boosted my professional career.”

“I would like to thank all of the many great instructors who guided me in the courses I took in the program. I would especially like to thank Dr. Talburt for being available all the time as my advisor and for helping me out whenever I came across any difficult questions during my master’s degree studies. Also, a special thanks to Dean Abhijit Bhattacharyya who helped me from the beginning of my program taking time for even with the tiniest issues like reviewing my resume and discussing career opportunities.”

“Also while pursing my MSIQ, I had many amazing classmates without whom I could not have learned many of the things I know today. Working on projects or just learning something new as part of our studies could not have been more enjoyable. I would especially like to thank my amazing classmates and good friends Utsav Chatterjee, Sharath Kumar Posa, and Syed Ameenuddin.”

“I would like to close by encouraging the students currently in the program to go the extra mile to research a new technology, to solve an extra problem, or volunteer to help on class project. It does not always have to be just the standard answer. Instead, try applying something new like an open source technology being used in the industry for a tech related problem. In this way, you will not only understand current trends in the field of data and technology and the kinds of tools being used, but it will also help you get an idea of you want to do or learn after you are graduated.”

Established in 2006 by the University of Arkansas at Little Rock Donaghey College of Engineering and Information Technology (EIT) in collaboration with the Massachusetts Institute of Technology Chief Data Officer and Information Quality Program, the UALR Information Quality Graduate Program is dedicated to developing and delivering state of the art curriculum in information quality education, contributing new ideas to the body of information quality knowledge, and establishing information quality partnerships with the community, government, and industry.  The UA Little Rock Information Quality Graduate Program is an international program matriculating students from all over the world at its Little Rock campus and in its eLearning Online Campus including students resident in Asia, Europe, and Africa. The UALR Master of Science in Information Quality program was ranked in 2017 by College Choice as one of 35 Best Online Master’s Degrees in Information Technology. In addition to the Master of Science in Information Quality, the program also offers a Graduate Certificate in Information Quality and an Information Quality Emphasis Track in the Computer and Information Sciences PhD program.

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UA Little Rock Graduate Builds Machine Learning Solutions for Bloomberg https://ualr.edu/informationquality/2018/01/18/bloomberg/ Thu, 18 Jan 2018 22:28:00 +0000 https://ualr.edu/informationquality/?p=2478 A December 2017 interview with Dr. Debanjan Mahata, a 2015 graduate of the UA Little Rock Computer and Information Sciences PhD program. Dr. Mahata…  

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A December 2017 interview with Dr. Debanjan Mahata, a 2015 graduate of the UA Little Rock Computer and Information Sciences PhD program. Dr. Mahata was recently hired as a Senior Machine Learning Engineer by Bloomberg Limited Partnership. Bloomberg LP is a privately held financial software, data, and media company with headquarters in New York city and owned by Bloomberg, Inc.

Question: How is Bloomberg using machine learning and what is your role?

Answer: Bloomberg has been using a lot of machine learning to enhance its products and to build cutting-edge solutions. The company has been very generous in supporting research initiatives in academia as well, through its Data Science Research Grant program. Please, find attached a flyer that gives more information about Bloomberg’s machine learning initiatives and recruiting.

I work as a Senior Machine Learning Engineer at Bloomberg, where I really enjoy my work. My role at Bloomberg allows me to work at the intersection of natural language processing (NLP), information retrieval, machine learning and software engineering. Entity extraction, entity resolution, disambiguation, keyword extraction, summarization, search and information retrieval from unstructured data are just some of the topics that interest our group. We not only research these challenging problems, but also build real-world solutions around them. The resulting applications ship as products in the Bloomberg Terminal, enabling our clients around the globe to make smarter, more informed decisions about their business and financial strategies.

I play an important part on the team that solves problems related to natural language processing from unstructured text. I am currently working on text summarization and classification. In this process, I get to work with very senior researchers who are famous in their fields, especially when it comes to formulating a research problem and discussing potential solutions. At the same time, when it comes to integrating a solution in the actual product, I get to collaborate with very talented software engineers, who follow a careful process of rigorous validation.

Bloomberg offers a very stimulating work environment for machine learning engineers like me. They not only provide a great experience for learning the best practices of software engineering, but also encourage its engineers to participate in machine learning conferences and workshops. Recently, they provided a sponsorship of MR2AMC: Multimodal Representation, Retrieval, and Analysis of Multimedia Content, a workshop that I am organizing along with some of my research collaborators in conjunction with the IEEE’s International Conference on Multimedia Information Processing and Retrieval.

Question: What was your previous professional experience?

Answer: Before joining Bloomberg, I was a Senior Research Associate at Infosys in Palo Alto, California. My primary role there was to do research and development work in natural language processing for the Nia Platform team. Some of the things I worked on included applying deep learning techniques to tasks such as phrase embedding, keyword extraction, text classification, text summarization and semantic similarities between text documents. Some of the research I did there produced state-of-the-art results and led to the invention of some novel techniques related to automated keyword extraction from text documents using deep learning methods. This led to the filing of patents and publication of research.

Question: How did your education at UA Little Rock helped prepare you for this role?

Answer: Whatever I work on today and have been doing for the past two years are related to my education and training that I received as a Ph.D. student at the University of Arkansas at Little Rock. Courses such as Data Mining, Entity Resolution, Social Media Mining, Research Methodologies and Information Quality Tools have immensely helped me dive deep into the realm of machine learning research, in addition to searching for answers to difficult problems.

Some of the things taught in the Entity Resolution course are very unique and directly relate to some of the work I presently do at Bloomberg. My training as a research scholar under Dr. Talburt gave me the necessary skills to think independently and to attack unsolved problems in creative ways. Feel free to look at my doctoral dissertation, “A Framework for Collecting, Extracting and Managing Event Identity Information from Textual Content in Social Media.”

As an affiliate graduate faculty at UALR, I would love to motivate and guide students to learn and work on problems related to machine learning. I would also welcome collaborating on research with students and fellow faculty members.

The Computer and Information Sciences PhD program is offered through the George W. Donaghey College of Engineering and Information Technology at the University of Arkansas at Little Rock. The information science and information quality tracks of the program are now available through the online eLearning Campus.

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Professor John R. Talburt to Address the International Master Data Quality Conference in South Africa https://ualr.edu/informationquality/2017/09/03/imdq-conference-south-africa/ Sun, 03 Sep 2017 21:02:43 +0000 https://ualr.edu/informationquality/?p=2419 Dr. John R. Talburt, Acxiom Chair of Information Quality and Coordinator for the University of Arkansas Little Rock (UA Little Rock) Information Quality Graduate Program,…  

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Dr. John R. Talburt, Acxiom Chair of Information Quality and Coordinator for the University of Arkansas Little Rock (UA Little Rock) Information Quality Graduate Program, has been invited to give the keynote address “Global Trends in Data Quality: Building a Quality-Oriented Organization” at the 2017 International Master Data Quality (IMDQ-2017) Conference, September 19-21, 2017, in Centurion, South Africa. IMDQ-2017 is an annual event for data leaders, data users, data analysts, data stewards, chief data officers, and data scientists who believe quality master data, big data, and business intelligence can turn data into an organizational asset. In addition to the keynote, Dr. Talburt will also participate as a panelist in a discussion on “Applying Data Quality Frameworks for Continuous Monitoring and Governance,” a presentation on “Data Governance: Ensuring Ongoing Data Quality,” and leading a workshop on the “Introduction to the Principles of Data Quality.” Other featured speakers include Professor Ismael Caballero from the University of Castilla-La Manch, Spain; Dr. Salomon De Jager, President of the PiLog Group, South Africa; Navruzova Luiza, Leader of the Russian Gosstandart; Edward Thomas, Executive Manager for Strategic Sourcing, Transnet, South Africa; and Jacques Rossouw, Managing Director, Financial Services Exchange, South Africa. Both Dr. Caballero and Dr. De Jager hold appointments as Affiliate Faculty Members in the UA Little Rock Information Quality Graduate Program.

According to Dr. Talburt, “The UA Little Rock Information Quality Graduate Program is an international program matriculating students from all over the world at its Little Rock campus and in its eLearning Online Campus including students in Africa. It is important that we continue to support and encourage our international partners to advance the theory and practice of information and data quality at every opportunity.”

Established in 2006 by the University of Arkansas Little Rock Donaghey College of Engineering and Information Technology (EIT) in collaboration with the Massachusetts Institute of Technology Chief Data Officer and Information Quality Program, the UALR Information Quality Graduate Program is dedicated to developing and delivering state of the art curriculum in information quality education, contributing new ideas to the body of information quality knowledge, and establishing information quality partnerships with the community, government, and industry.  The UALR Master of Science in Information Quality Degree has recently been ranked by College Choice as one of 35 Best Online Master’s Degrees in Information Technology.

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College Choice Ranks the UA Little Rock Information Quality Master’s Program Among the 35 Best Online https://ualr.edu/informationquality/2017/09/03/college-choice-ranks-ua-little-rock-information-quality-masters-program-among-35-best-online/ Sun, 03 Sep 2017 20:41:31 +0000 https://ualr.edu/informationquality/?p=2421 Little Rock, AR, August 26, 2017— The University of Arkansas at Little Rock (UA Little Rock) Master of Science in Information Quality (MSIQ) has been…  

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Little Rock, AR, August 26, 2017— The University of Arkansas at Little Rock (UA Little Rock) Master of Science in Information Quality (MSIQ) has been ranked among the 35 Best Online Master’s in Information Technology Degrees. The ranking from College Choice, a leading authority in college and university rankings and resources, put the University of Arkansas at Little Rock MSIQ in #27 place for the 35 Best Master’s in Information Technology Degrees. The full ranking is available here. The 2017 ranking represents a significant improvement over its ranking in the same survey last year when the UA Little Rock MSIQ ranked #47 in the 2016 College Choice Survey of the 50 Best Master’s in Information Technology Degrees.

Established in 2006 by the UA Little Rock Donaghey College of Engineering and Information Technology (EIT) in collaboration with the Massachusetts Institute of Technology Chief Data Officer and Information Quality (MIT CDOIQ), the UALR Information Quality Graduate Program is dedicated to promoting state of the art curriculum in information quality education, contributing new ideas to the information quality knowledge base, and establishing information quality partnerships with the community, government, and industry. In 2016, the university also established the Institute for Chief Data Officers (iCDO) dedicate to research and training related to the emerging role of the Chief Data Officer.

According to Dr. John R. Talburt, Coordinator for the Information Quality Graduate Program, “We believe our rank has increased because of the diligent effort of our faculty and staff to make our student’s online experience as engaging and meaningful as an in-classroom experience. We have been learning about, and experimenting with, different modes of online delivery since 2007, the second year of the program.” Most recently the university has added the Information Quality Track and Information Science Track of its Computer and Information Sciences PhD program to its online offerings. For more information about UA Little Rock online programs visit our eLearning Home Page

According to College Choice, the ranking is based on a nationwide survey of college freshmen published by the Higher Education Research Institute at UCLA.  These students rated institutional reputation, financial aid offerings, overall cost of school, and the survey took into account graduate success on the post-college job market. The data from their ranking comes from the National Center for Education Statistics’ IPEDS database, U.S. News & World Report, Payscale, and individual college websites.

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Information Quality Program Joins UA Little Rock Online Campus – Reduces Tuition for Remote Students! https://ualr.edu/informationquality/2017/04/23/iq-joins-online/ Sun, 23 Apr 2017 18:28:32 +0000 https://ualr.edu/informationquality/?p=2392 The Information Quality Graduate Program at the University of Arkansas at Little Rock is please to announce it will be joining the UA Little Rock…  

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2016-Rankings-of-Best-Online-Master's-Degrees-in-Information-TechnologyThe Information Quality Graduate Program at the University of Arkansas at Little Rock is please to announce it will be joining the UA Little Rock Online Program beginning in Fall 2017.  The UA Little Rock Online Program is designed for students who wish to complete their degrees entirely online. Because online students will not be using on-campus facilities, the university is able to offer fully online students a lower tuition rate and fee structure. The tuition rate for fully online information quality graduate courses has been reduced to $383.00 per credit hour, and even lower for veterans. The lower cost structure will allow individuals from across the U.S. and overseas to complete the Graduate Certificate in Information Quality and the Master of Science in Information Quality without visiting the Little Rock campus, and at a much lower cost. Enrollment in the online information quality program is available to anyone in any part of the world able to meet the program’s admission requirements and with broadband Internet access.

The Information Quality Graduate Program was one of the first academic programs at UA Little Rock to offer online classes. However until now, these have been hybrid classes allowing students to attend classes both online and in the classroom at their convenience. The section numbers for hybrid webcast classes start with a “9W” prefix. Student who are not residents of Arkansas or residents of one of the states bordering Arkansas are required to pay out-of-state tuition rates for these hybrid courses.  The new classes reserved for entirely online students at the reduced tuition rate will have a section number starting with “9U”. Fully online courses offered by the Information Quality Program this fall include

  • Principles of Information Quality (INFQ 7303-9U1)
  • Information Quality Policy and Strategy (INFQ 7367-9U1)
  • Entity Resolution and Information Quality (INFQ 7348-9U1)
  • Data Mining Concepts and Technology (IFSC 5325-9U1)
  • Information Visualization (IFSC 5345-9U1)
  • Database Systems and Information Architecture (IFSC 7320-9U1)
  • Data Protection and Privacy (IFSC 7360-9U1)

Another feature of the new online program is students can move between the online campus and the Little Rock campus should their circumstances change. This is especially important for international students. For example, an international student qualifying for admission to the Online Information Quality Graduate Certificate can begin studies in the online program while living in his or her own country and without the need to apply for a U.S. visa. GRE scores are not required for admission to the Certificate Program. In addition, the tuition for fully online courses is much lower than the on-campus rate for international students.

After completing the Certificate Program, the student could apply to continue in the MS in Information Quality (MSIQ). If the student’s GPA is 3.5 or higher (out of 4.0) in the Certificate Program, the GRE is waived for admission to the MSIQ Program. At this point, the student can elect to complete the MSIQ degree in his or her home country, or move from the online program to the on-campus program and apply for a student visa to finish the last year of work in the U.S. By having completed the Certificate Program, students are in a much stronger position to obtain a student visa. In addition, the top performers in the online program will be offered financial support to complete their degrees at the Little Rock campus.

If you would like more information about the new online option, please contact the Information Quality Graduate Program Coordinator, Dr. John R. Talburt at jrtalburt@ualr.edu

 

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IQ Graduates at Work – Sneha Jetti: From an Intern to Full-Time Developer at SpotRight, Inc. https://ualr.edu/informationquality/2017/01/09/2380/ Mon, 09 Jan 2017 19:33:45 +0000 https://ualr.edu/informationquality/?p=2380 Sneha Priya Jetti was graduated from the Master of Science in Information Quality (MSIQ) at the University of Arkansas at Little Rock (UALR) in…  

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IMG_2894 (1)Sneha Priya Jetti was graduated from the Master of Science in Information Quality (MSIQ) at the University of Arkansas at Little Rock (UALR) in May 2016.  Sneha is originally from Guntur, Andhra Pradesh, India, where she earned a bachelor’s degree in Electrical and Electronics Engineering from the R.V.R & J.C College of Engineering, Guntur in 2012.

During her undergraduate program, she also worked at Cordys Software where she joined a team to develop a Business Process Management (BPM) platform. She also worked on Business Activity Monitoring (BAM) which included a Big Data platform.

After completing her undergraduate degree, Sneha came to the USA seeking a Master’s Degree. When she first came to UALR, her plan was to do a Master’s in Computer Science. However shortly after arriving, she heard about the Information Quality Graduate Program through a friend. She changed her plan and immediately joined the IQ Program. Sneha said: “I remember how Dr. Talburt warmly welcomed me when I showed interest in joining the IQ Program. The Program exposes students to current data quality issues and addresses these issues to provide solutions which enables organization to work more efficiently and effectively.”

One of the things she liked most about the UALR IQ Program is the way it is designed which allows students to learn about latest technologies and current market trends. Most of the tools and technologies used on a regular basis by Big Data Developers are included in the coursework like Hadoop, Spark, Entity Resolution, and Talend.

Sneha completed her program as a full-time, resident MSIQ student. All the projects she completed during her time at UALR have given her a better understanding of how Information Quality principles can change the way we look at data and how to handle them effectively. “Each course taught me something new, something I am now applying to my current job.” Sneha’s favorite subjects were Entity Resolution, IQ Tools, System Analysis, Social Media, and IQ Policy and Strategy. “Taking these courses was a wonderful experience,” she added.

Sneha currently works at SpotRight, Inc. as a Software Developer. SpotRight is a consumer insights company for marketing strategies. The company provides a platform to combine online social media data and offline consumer data to understand audiences and compare the audiences and the influencers of a brand.

She joined as full time employee starting in June, 2016. Prior to that date, Sneha worked for SpotRight first as a graduate assistant under Dr. Talburt’s supervision, then later as an intern in the spring 2016 semester.

At SpotRight, the teams build a platform, which provides insights using the social and consumer data. Sneha must deal with very-large data sets. She puts these into a database, sets up tools to analyze the data, and produces reports on demand. She also adds features to the platform for additional insights to the customer. She uses Big Data applications such Cassandra, MongoDB, Spark, Hadoop and Scala programming language on a regular basis.

As for how Sneha has applied what she has learned to her current position, she explained, “At SpotRight we deal with different sets of data and therefore we use the concepts of entity resolution. Most of the time I upload the data to Cassandra in an ETL process where I apply the contextual information quality dimensions and fundamental principles of information quality.”

Sneha added “It is hard to name a single professor and how greatly he or she impacted my career, but I can say Dr. Talburt is the person who guided me and gave me the right advice for my coursework and career choices. I also feel privileged to have taken courses from by Dr. Nitin Agarwal, Dr. Xiaowei Xu, and Dr. Eric Nelson.”

Sneha’s advice to students, “Pay close attention to course projects, these are very important. They expose you to real-life challenges. The most interesting part is finding solutions for these challenges. I wish everybody all the best.”

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UALR Information Quality Faculty Participate in ISO Subcommittee Meeting in Seattle https://ualr.edu/informationquality/2016/10/23/ualr-iq-well-represented-at-iso-sc-4-meeting-in-seattle/ Sun, 23 Oct 2016 21:19:25 +0000 https://ualr.edu/informationquality/?p=2345 The International Organization for Standardization (ISO) has developed thousands of standards over the years. The ISO 9000 standard for Quality Management has been one…  

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041The International Organization for Standardization (ISO) has developed thousands of standards over the years. The ISO 9000 standard for Quality Management has been one of the most widely adopted, but only recently has ISO turned its attention to standards that specifically address data and information quality. In 2009, ISO published the 8000 Part 110 (8000-110) standard titled “Master data: Exchange of characteristic data: Syntax, semantic encoding, and conformance to data specifications.” ISO 8000-110 is narrowly defined and only provides a standard for the transmission of master data between systems.

However, the scope of ISO data quality standards is broadening as more parts directly related data quality are added to the 8000 standard. The development of the 8000 standard is under the aegis of Working Group 13 (WG13) of Sub-Committee 4 (SC4) of ISO Technical Committee 184 (TC184) on Automation Systems and Integration. Much of the current focus of WG 13 is on the 60 Series of standards including Part 60, Data Quality Management Overview; Part 61, Data Quality Management: Process Reference Model; Part 62, Data Quality Management: Organizational Maturity Assessment Model; and Part 63, Data Quality Management: Measurement Framework.

The Information Quality Graduate Program at the University of Arkansas at Little Rock (UALR) was well represented at the 72nd plenary meeting of SC 184 held in Seattle, Washington, October 3-7, 2016. Dr. Salomon De Jager (left in photo below), from South Africa, is an Affiliate Faculty Member of the UALR IQ program. Dr. Timothy King (third from left in photo below), from the United Kingdom, is the convener of WG13 and also a UALR IQ Affiliate Faculty Member. Dr. John R. Talburt, the UALR IQ program coordinator and Information Science Professor also attended as a member of the U.S. Technical Advisory Group (TAG) to ISO. Also in attendance was Danette McGilvray, a noted data quality author, consultant, and frequent guest speaker at UALR. Other members of WG13 include representatives from China, Korea, France, Spain, and Germany.

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Established in 2006 by the University of Arkansas at Little Rock (UALR) Donaghey College of Engineering and Information Technology (EIT) in collaboration with the Massachusetts Institute of Technology Chief Data Officer and Information Quality Program, the UALR Information Quality Graduate Program is dedicated to developing and delivering state of the art curriculum in information quality education, contributing new ideas to the body of information quality knowledge, and establishing information quality partnerships with the community, government, and industry.  The UALR Master of Science in Information Quality Degree has recently been ranked by College Choice as one of 50 Best Online Master’s Degrees in Information Technology Programs.

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