Data Analytics are remaking industries, our economy, and how people work. As many jobs now require an understanding of big data, students who graduate with skills in areas such as data analysis, data visualization, and security are now more competitive in the job market than ever.
The Data Analytics Credential is designed for computing and engineering students who want to acquire the data analytics skills that employers in the metropolitan areas of Baltimore, Washington, D.C., and Richmond need. Developed with the Greater Washington Partnership, the credential equips students across disciplines with the entry-level data analytics skills that employers need most.
Engage with business
- Acquire exclusive access to a student portal with paid internship and event opportunities
- Obtain invitation to participate in annual internship fairs with employers looking to recruit CoLAB students
- Access professional development webinars and other ad-hoc opportunities
- Earn digital badge upon completion of required courses to identify yourself as having the skills these employers are looking for in their workforce
Connect with these companies
Amazon
Booz Allen Hamilton
Capital One
Deloitte
Exelon
EY
General Dynamics (GDIT)
Inova
JPMorgan Chase
McKinsey & Company
MedStar Health
Monumental Sports and Entertainment
Northrop Grumman
Stanley Black & Decker
T. Rowe Price
Under Armour
University Courses for the Specialist Credential
Data Management and Governance: Choose one:
CS 450 Database Concepts
CDS 302 Scientific Data and Databases
IT 214 Database Fundamentals
Data Storage: Choose one:
CS 450 Database Concepts
CDS 302 Scientific Data and Databases
IT 214 Database Fundamentals
Data Quality: Choose one.
CS 450 Database Concepts
CDS 302 Scientific Data and Databases
IT 214 Database Fundamentals
Data Manipulations: Choose one.
CS 484 Data Mining
CDS 302 Scientific Data and Databases
IT 214 Database Fundamentals
Probability and Descriptive and Inferential Statistics- Choose one sequence.
Sequence A
STAT 334 Introduction to Probability Models and Simulation OR
STAT 344 Probability and Statistics for Engineers and Scientists I OR
STAT346 Probability for Engineers
AND
STAT 350 Introductory Statistics II OR
STAT 354 Probability and Statistics for Engineers and Scientists II OR
STAT 360 Introduction to Statistical Practice II
Sequence B
CS 484 Data Mining AND
CS 480 Introduction to Artificial Intelligence
Sequence C
IT 322 Health Data Challenges
Data Visualization: Choose one.
STAT 463 Introduction to Exploratory Data Analysis
CDS 301 Scientific Information and Data Visualization
IT 415 Information Visualization
Foundations of Systems Development Life Cycle: Choose one.
IT 216 Systems Analysis and Design
CS 321 Software Engineering
Data Ethics: Choose one.
CDS 151 Data Ethics in an Information Society
STAT 489 Pre-Capstone Professional Development
IT 304 IT in the Global Economy
CS 306 Synthesis of Ethics and Law for the Computing Professional
For more information contact:
Computer Science Majors: CSUG@gmu.edu
Statistics Majors: bhunte11@gmu.edu
Information Technology (INFT) Majors: https://ist.gmu.edu/students/current-students/advising
Computational Data Science (CDS) Majors: Ron Mahabir rmahabir@gmu.edu
Other majors: ldurant2@gmu.edu