MSDSE - Roy G. Perry College of Engineering

New Graduate Program: M.S. in Data Science & Engineering

Department of Electrical & Computer Engineering
Roy G. Perry College of Engineering
Prairie View A&M University
Prairie View, TX 77446

Overview:

The convergence of increased computing power, big data analytics, and breakthroughs in artificial intelligence will transform our lives in the future. Multiple surveys and frequent feedback from alumni and industry partners show the high demand in the U.S. job market for data scientists and data engineers. It is well recognized that all science and engineering students should have some core competence in data science to be successful in the future data-centric economy, and skills in analyzing and interpreting data can give young people access to new career opportunities.

The main objectives of the proposed graduate program are to:

Create a pool of students with demonstrated knowledge of the theoretical foundation and experimental methods used for data science and data engineering;
Build skilled workforces in data science and data engineering;
Generate successful students with strong communication, leadership, presentation, technical and scientific writing, and critical thinking skills; and
Advance research in-depth to address critical issues of data science and data engineering using robust technologies and tools in artificial intelligence and machine learning.

Learning Objectives:

Master the fundamental principle of data analytics;
Gain extensive experience of the entire data analysis cycle;
Be proficient in data management and curation, data modeling and assessment, data visualization, workflow and reproducibility, and data ethics;
Be proficient in the cloud computing platforms for big data analytics;
Understand research methodologies and apply scientific methods to develop new knowledge;
Learn to develop in-depth solutions to data science and engineering problems using science but taking into consideration the human, social, political, ethical and legal issues;
Develop methods and tools for data analytics;
Provide a transition to more advanced levels of data science related disciplines through doctoral education; and
Become outstanding leaders and team players who can work in collaboration with others to apply interdisciplinary applications of data science to local, regional, national, and global problems and issues at different scales.

Expected Student Outcomes:

After completion of the program, students will be expected to:

Demonstrate the fundamental principle and advance knowledge in data science and

engineering;
Demonstrate an understanding of appropriate research methods for data analytics;
Gain extensive experience of the entire data analysis cycle;
Be proficient in data management and curation, data modeling and assessment, data

visualization, workflow and reproducibility, and data ethics;
Be proficient in the cloud computing platforms for big data analytics;
Demonstrate excellent research and communication skills; and
Become outstanding educators and professionals in data science-related disciplines.

Admission requirements:

Admission requirements include a bachelor’s degree in Engineering, Computer Science, Mathematics or a related field with a minimum of 2.75 GPA, which is a requirement for admission to graduate study at PVAMU. Prerequisites include Calculus and Linear Algebra (or equivalent courses, up to the discretion of the Admissions Committee).

Curriculum:

The Master of Science degree in Data Science and Engineering (MSDSE) is designed to be a flexible 30 SCH degree program that can meet the advanced educational goals of a wide range of students at PVAMU. The program will be developed to provide advanced study and experience in artificial intelligence, machine learning, data analytics, and data engineering.

Contact information:

Office: NENR Building Room 332
Phone: (936) 261-9908
Fax: (936) 261-9930
E-mail: Lijun Qian