Data Science, Advanced Certificate
The 18-credit Advanced Certificate program in Data Science is designed for students who have completed their graduate studies in Computer Science, Information Technology, Computer Information Systems, or a similar program. The program gives students the opportunity to seek career advancement or to enhance their theoretical, analytical, and practical skills through a solid foundation in programming, databases, scientific methods, processes, systems, and analytics. Earning this credential provides career opportunities in a wide range of industry settings both private and public.
Students completing the program will be qualified for employment as a Data Scientist, Data Analyst, Data Statistician, Predictive Analyst, Technical Analyst, Data Engineer, Machine Learning Engineer, or Instructor in private, government, and non-profit sectors. Students who complete the program will be prepared for various industry-recognized certifications such as Certified Analytics Professional (CAP), Data Science Council of America (DASCA), IBM Certified Data Architect, Microsoft MCSE: Data Management and Analytics, Microsoft Certified Azure Data Scientist Associate, SAS Certified Advanced Analytics Professional, SAS Certified Big Data Professional, SAS Certified Data Scientist and/or other certifications.
Upon completion of the Advanced Certificate program in Data Science, graduates will possess:
- Strong theoretical and practical skills in coding, data modeling, statistical computing, data visualization, forecasting, and technical analytic techniques, which are all needed in modern business settings.
- Competencies in the areas of big data, data science, cloud computing, artificial intelligence, machine learning, and statistical programming.
- Skills for utilizing leading edge resources such as Hadoop, AWS, SAS, JMP, and Tableau; and languages such as Python and R.