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Data Science Certificate

Data Science Certificate

Program Description

DSCP is a graduate level program centered on the principles of integrating advanced analytic techniques, large and complex data sets, and computer programming. It offers both a theoretical foundation of data science techniques and the pragmatic application of the interdisciplinary skills necessary for effective application of such techniques to real world decisions. Furthermore, students that successfully complete the program will demonstrate the program’s outcomes by developing an operationalized analytic product to address a DoD need.

Admissions Requirements

In order to be considered for admission to DSCP, candidates must meet the AFIT Graduate School of Engineering and Management requirements for admissions. These requirements include a completed bachelor’s degree in an appropriate engineering or scientific discipline (mathematics, physical science, engineering, or computer science are highly desirable) and a minimum grade point average of 3.0. Additionally, successful completion of undergraduate calculus I, II, and III is required. Moreover, several of the courses offered by the DSCP require candidates to have taken an introductory to probability and statistics class (i.e. STAT 583 Introduction to Probability and Statistics; STAT 587 Applied Probability and Statistical Analysis). Waivers to the stated requirements may be granted on an individual basis as approved by the Department of Operational Sciences, through the DSCP Program Manager.

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Outcomes & Objectives

Program Outcomes

  • Knowledge of the fundamental data science capabilities and pipeline.

  • Mastery of key facets of data investigation, including data wrangling, cleaning, sampling, management, modeling, communication, and analytic reproducibility.

  • Competency in employing algorithmic solutions to address data science problems.

  • Prowess in applying software engineering practices to create and enable reproducible and scalable data analysis applications.

  • Proficiency in applying statistical and machine learning methods to make sense out of data sets, both large and small.

  • Aptitude for what analyses are possible given a particular data set, including both the state of the art of the field and inherent limitations.

  • Fluency for speaking to disparate groups within an organization to implement data science applications and solutions. 

Degree Information

Degree Type: Certificate


Delivery Method: In-Residence


Degree Requirements

DSCP is designed to support part-time or full-time students looking to specialize in the data science domain. Students will train on open source programming languages and packages that are currently (or projected) supported on DoD systems, thus enabling students to quickly transition with gained data science skills in their immediate follow-on operational assignments. All students are expected to participate in DSCP via in-residence AFIT courses for consecutive quarters until completing the full certificate requirements. Students complete the Analysis Core and then either the Artificial Intelligence, Machine Learning or the Operational Analysis track. Students must attain a grade point average of at least 3.00 for all graded courses comprising the certificate.

Analysis Core 

  • OPER 679 - Empirical Modeling 3 
  • OPER 685 - Multivariate Analysis I 3 


Artificial Intelligence, Machine Learning (Take 2) 

  • CSCE 623 - Statistical Machine Learning 4 
  • CSCE 823 - Artificial Neural Networks 4

Operational Analysis (Take 2) 

  • OPER 655 - Text Mining 3 
  • OPER 684 - Quantitative Forecasting Techniques 3 
  • OPER 785 - Multivariate Analysis II 3 

Graduate School Catalog

Faculty Research Areas

  • APPLIED STATISTICS
  • ARTIFICIAL NEURAL NETWORKS
  • COMPUTATIONAL MATHEMATICS AND OPTIMIZATION
  • FORECASTING
  • NEURAL NETWORKS
  • STATISTICAL DATA ANALYSIS
  • SURVIVAL/RELIABILITY ANALYSIS
  • ADAPTIVE ALGORITHMS
  • APPLIED MATHEMATICS
  • ARTIFICIAL INTELLIGENCE
  • ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
  • DECISION ANALYSIS
  • DECISION SUPPORT
  • EVOLUTIONARY ALGORITHMS
  • HEURISTICS
  • INDUSTRIAL ENGINEERING AND SYSTEMS ENGINEERING
  • MACHINE INTELLIGENCE
  • METAHEURISTICS
  • MULTIVARIATE STATISTICS
  • QUANTITATIVE METHODS
  • PROBABILITY THEORY
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Air Force Institute of Technology
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Wright-Patterson Air Force Base, OH 45433-7765
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