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Data Science

Online Graduate Certificate Program

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Ready to learn more about the Champlain online experience?
5
Total Courses
$595
Cost per Credit
8 months
Time to Completion With 2 Courses per Term
15-18 hours/week
Time Commitment
Upcoming Start Dates

Explore Data Science

Advance your technical skills and use data to solve real-world problems with a graduate certificate in data science. This multidisciplinary data scientist program teaches students how to capture, maintain, process, analyze, and communicate information through exploratory data analysis. Learn how to design and query databases, create and use scripts, visualize data, evaluate machine learning models, and examine uses for artificial intelligence (AI) to gain insight and resolve issues in the in-demand field of data science.

This graduate certificate can be taken as a stand-alone credential, or embedded in Champlain’s novel online master’s in information technology, should you wish to continue your education and earn a master’s degree.

Build Your Career Future

We understand how important it is for busy working adults to gain knowledge and expertise quickly, which is why our data science online courses are applicable to the workplace from day one. Whether you’re upskilling your undergraduate degree knowledge or you're currently pursuing your master’s degree, advancing your data analyst expertise with an online graduate certificate in data science is a great way to earn a credential in the analytics field, get your resume noticed, and demonstrate proficiency in a focused area of knowledge such as big data, visualization, and analytics.

Program Curriculum

Champlain's online data science courses encompass the top skills needed by today's IT professionals.

Previous coursework and/or experience in Information Technology (IT) and/or InformationSecurity (IS) is required for admission to the program. Students who are unable to demonstrate prior acquisition of knowledge and skills related to IT will be required to complete CMIT-500 before beginning the required program courses.

In this course students learn to differentiate relational and non-relational databases, and to design a database to an organization's requirements. Preparing raw data for import into a database, using queries to manipulate data, and developing reports to meet stakeholder needs, and database integrity and security are also covered.

Students learn to create and use scripts to access, acquire, prepare, and transform data, including structured and semi-structured data, and to define and detect patterns in unstructured data to demonstrate how real world problems can be answered with data.

In this course students learn about deep learning, machine learning, and artificial intelligence, and compare supervised and unsupervised learning. Machine learning workflows and the challenges associated with machine learning, such as bias and heteroscedasticity, are considered. Students evaluate models, and examine uses for machine learning and artificial intelligence. Natural Language Processing is also addressed.

Prerequisites

Complete CMIT-510

In this course students learn about different types of data and methods of visualization so they can select appropriate visualization techniques, and prepare and visualize data for specific audience(s). The role of human perception and its impact on the design and communication of graphical representations of information is also examined.

In this course students learn about data types and how to perform pre-processing activities including cleaning, integration, reduction, and transformation. Use of appropriate techniques to analyze and model data, such as classification, decision trees, association rules, and clustering, and the causes and methods of detecting outliers are also covered. Students propose additional applications for data mining based on current trends/research.

Prerequisites

Complete CMIT-510

Additional Program Details

Graduates of the data science online graduate certificate program will demonstrate the following industry-specific skills, knowledge, and competencies:

  • Design a database and develop reports to meet stakeholder requirements, and use queries to manipulate data while acknowledging the need to maintain data integrity and security.
  • Create and use scripts to access, acquire, prepare, and transform structured and semi-structured data, and to define and detect patterns in unstructured data to demonstrate how data can contribute to solving real-world problems.
  • Select appropriate visualization techniques, and prepare and visualize data for specific audience(s), taking human perception into consideration in the design and communication of graphical representations of information.
  • Perform pre-processing activities including cleaning, integration, reduction, and transformation, use appropriate techniques to analyze and model data, and propose additional applications for data mining based on current trends/research.
  • Compare supervised and unsupervised learning, explain machine learning workflows and challenges, evaluate models, and examine uses for machine learning and artificial intelligence.

Champlain College Online's IT faculty are expert practitioners in the field. Their industry expertise ensures that our  graduate curriculum is aligned with the needs of employers, and reflects the skills today’s information technology professionals need for success. Classes led by our seasoned experts will give you real-world insight into the field and create a rich community of career-focused learning.

Tuition & Costs

Graduate Tuition Fall '23 - Summer '25

$595 per credit
$1,785* per course
$450** PER CREDIT FOR ALUMNI WHO EARNED A DEGREE FROM CHAMPLAIN, ON-CAMPUS or online
$450 per credit military service members (family members see truED tuition)
$150 One-time graduation fee

*Based on a 3-credit course; cost will vary if course is a different number of credits

** Starting Summer 2024, not retroactive

See the graduate cost of attendance and fees here

 


 

Affordability and Paying For Your Education

We provide a number of options to make your online education affordable, including preferred tuition for alumni, associate degree graduates, community college graduates, and military.

Accomplish More With a Graduate Certificate in Data Science

Computer and information technology occupations are projected to grow 11% from 2019 to 2029, much faster than the average for all new occupations.*

*Source: Bureau of Labor Statistics (BLS), 2020

 

Top Reasons To Earn A Graduate Certificate

  • Climb the career ladder
  • Build new skills
  • Earn a recognized credential
  • Differentiate your resume
  • Test a new field
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Academic Excellence and Recognition

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Regionally accredited by the New England Commission of Higher Education

Military Friendly Designation, Silver Badge 2024-2025

Designated as a Military Friendly School for our commitment to the military community

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Ranked among the best by Tech Guide for game design and computer science

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Named the among the best schools with accelerated bachelor's degrees by Intelligent.com

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