Program Overview

Data Science Program

The Data Science program is designed to help multidisciplinary professionals leverage the power of big data to extract insights and improve decision making for real-world problems. This program provides hands-on experience in data management and visualization, machine learning, statistical models, and more for a career in data science.

Program Overview

This program is perfect for:

• Multidisciplinary professionals seeking to learn or enhance data analytics skills
• Aspiring data scientists looking to build skills in data management, visualization, and programming
• Technologists and software developers interested in a career shift to data analytics

What You Can Learn

The program covers various aspects of data science, including:

• Exploring data sets with Python
• Gaining expertise in exploratory data analysis (EDA) and advanced data visualization using R and Tableau
• Learning foundational tools and techniques for analyzing data, delivering insights, and building forecasting models
• Applying machine learning techniques using Python to train, evaluate, improve performance, and present statistical analyses
• Understanding the management of big data, types of NoSQL data stores, and the Hadoop ecosystem

Career Foundation

The program helps build the foundation for a career in data science. Today's data scientist is a business-savvy, data-driven problem solver with the insights to ask the right questions and the skills to find the correct answers. The role is part art and part science, requiring big data management, programming, statistics, and machine learning for extracting, analyzing, and communicating findings.

International Students

This certificate is approved for international students to study full time in the U.S. on an F-1 visa. International students must meet English language proficiency requirements for admission into the program. While most certificate programs begin each quarter, some have limited intakes for students studying on F-1 visa.

Program Details

Cost and Fees

• Application and Candidacy Fee: $200
• Estimated Textbooks and Materials: $374
• Estimated Program Tuition: $5,475
• International Student Fees: Not included in the Estimated Program Tuition

Payment Options

• Eligible for VA Benefit
• Federal Financial Aid is not available

Required Courses

The program consists of required courses, including:

• Data Science Fundamentals
• Introduction to Data Science
• Exploratory Data Analysis and Visualization
• Big Data Management
• Machine Learning Course (choose one from the following):
  • Machine Learning Using Python
  • Machine Learning Using R
  • Deep Learning
  • Machine Learning System Design

Suggested Prerequisite

COM SCI X 450.00 is a suggested prerequisite course for students with limited or no prior programming, statistics, or data analytics knowledge.

Related Programs

Related certificate programs include:

• GIS and Geospatial Technology
• Blockchain Technology Management
• Cybersecurity
• Data Science with Concentration in Cybersecurity
• Software Development
• Systems Analysis

These programs offer specialized training in various fields, from geospatial technology to cybersecurity and software development, providing students with a range of options to enhance their skills and knowledge in data science and related areas.