Data Science Department 

Fei Tian College - A World Bridge ® program has an international Geo-spatial laboratory, which is one of only a little over one hundred in the world.

Data science is an interdisciplinary field that applies principles of mathematics, statistics, and computer science to investigate large data sets and to extract useful knowledge from these data sets.

 

Today, data science is commonly applied to derive valuable insights from data in domains such as biotech, clinical trial, health care, insurance, pharmaceutical, energy, fraud detection, risk management, finance, credit scoring, marketing optimization, retail, internet, manufacturing, transportation, government and climate change evaluation.

With billions of searches and petabytes of data circling the globe, being able to gain insight from data has become increasingly important. 

 

Data scientists must not only master diverse skills in data management, analysis, forecasting, and interpretation, but they must also possess critical thinking, problem-solving and communication skills. They are among the most sought-after in market and have been ranked as the best job in USA by Glassdoor in the past two years. 

 

Bachelor of Science Degree Program

 

The department of Data Science is developing a new bachelor's degree program in Data Science. Its purpose is to meet the strong marketing demand, at the same time, to fill in a gap in the academic programming in the local area.  

The Data Science Program currently offers a Bachelor of Science degree in the following two areas


                   

 

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Data Science Faculty

The faculty members in the Department of Data Science are committed and experienced educators representing expertise in a broad range of areas within the field. They have taught within their respective disciplines and have extensive professional experience in areas in which Data Science has wide application, including various parts of financial industry, health and pharmaceutical industries, creative industries, etc. Their commitment to the professional, academic and personal development of students is an asset to Fei Tian College and to the anticipated success of the Data Science program. 

Kevin Ren, Associate Professor and Chair

Ph.D. in Statistics, University of Missouri, 2001

Professor Ren has more than 20 years of teaching and research experience. He served as an Associate Professor at South Dakota State University until 2013, teaching at both the graduate and undergraduate level, and providing statistical consultation to university scientists, graduate students and other university personnel. Professor Ren also has industry experience from US Postal Service as a mathematical statistician.

Stephen Cosslett, Professor

Ph.D., Physics, University of Cambridge, 1970

Ph.D., Economics, University of California, Berkeley, 1979

Professor Cosslett has more than 30 years of teaching experience on the faculties of at Northwestern University, the University of Florida and the Ohio State University in 1987. His research has been published in top Economics Journals, and he was elected a Fellow of the Econometric Society in 1994.

Elliott Fan, Associate Professor

PH.D, Economics, University of Toronto, 2006

Dr. Elliott Fan obtained his doctoral degree in Economics from University of Toronto in 2006. He then joined the Social Policy Analysis, Evaluation and Research (SPEAR) Centre at the Australian National University as a research fellow (2006-2011), and the Department of Economics, National Taiwan University, as a assistant professor and later tenured associate professor (2011-2018). Dr. Elliott Fan has published a number of papers in top-ranked economics journals. His research interest has been focused mainly on the fields of applied microeconomics, family economics, labor economics, and economic history.

Ronald Fortunato, Associate Professor and Lab Director

M.S., Oceanography, Old Dominion University, 1987

Professor Fortunato brings a wealth of industrial experience to Fei Tian College as its Lab Director. With in-depth understanding of teaching and the learning processes, real world project-based learning and program implementation expertise, Professor Fortunato has a proven record in designing and producing effective academic solutions. Highlights of his career include work at A World Bridge™, a cooperative program between US Government offices, NASA Ames Research Center, various universities, international organizations and business partners to help bring real-world international projects into classrooms.

Qing Liu, Assistant Professor

Ph.D. in Economics, Ohio State University, 2001

Professor Liu brings more than 10 years of real world experience in statistical analysis and creative industries to the Data Science Department. She served as Director of Modeling at Ecapital Finance Corporation in 2003-2004; was the Lead Statistical Analyst at Experian in 2005 – 2012, before taking up the position as Vice President of Content Distribution at NTD Television, a major independent Chinese television network headquartered in New York City. 

Zhanglin Lin Cui , Adjunct Professor

Ph.D. in Genetics and Breeding, North Carolina State University, 1999

Professor Cui’s research experiences include 20 years in plant genetics and breeding research and recent 16 years in animal and human clinical research. He is the group leader and lead statistician in designing, conducting, analyzing and reporting pharmaco-economics and health outcomes research and late phase clinical trials in oncology. Professor Cui has authored two books and five book chapters, along with more than 80 journal papers and over 70 conference abstracts.

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