Complete CMIT-510
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.
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Academic Excellence and Recognition
Regionally accredited by the New England Commission of Higher Education
Designated as a Military Friendly School for our commitment to the military community
Ranked among the best by Tech Guide for game design and computer science
Named the among the best schools with accelerated bachelor's degrees by Intelligent.com
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
- Pursue a passion
- Demonstrate subject matter expertise
Program Details
Learn more about Champlain's 100% online data science graduate certificate, designed for working professionals.
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.
Required Courses (15 credits)
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
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
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.
Many certificate students come to us seeking ways to get noticed at their current employers or to get hired in a new field. Given that, we are hyper focused on increasing the career mobility of our students and that's why we developed the Fast Start Formula Career Bundle, a suite of career offerings designed to help our students get noticed, get hired and land jobs they'll love.
Valued at over $1,000, the career bundle is offered to Champlain College Online students and includes:
- Fast Start Formula Course: The Fast Start Formula Course for getting noticed and getting hired is taught by Jen Morris, an executive career coach that we've developed a partnership with to support our students in their job search journeys. This course is online, self-paced and full of tips and tricks to land a job you'll love.
- Live Webinars: Log-on to ask your specific job search questions, get live “hot seat” coaching and gain valuable insights from leading career coach, Jen Morris.
- Landing A Job You'll Love Ebook: Download this ebook full of tips and tricks for standing out from the competition. From how to optimize your LinkedIn profile, to insider information on how recruiters work and bypassing the automated application websites, you’ll be sure to learn how rise to the top.
Upon enrollment in a degree or certificate, your access to the Fast Start Formula Career Bundle will made available to you.
Tuition & Costs
Graduate Tuition Fall '23 - Summer '25
*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
Save Up To $200 Per Course
Save up to $200 per course when you take two courses per term in spring and summer 2025.
Talk to your advisor about this opportunity to accelerate your program where you could save money on tuition.
If you enroll in two courses during any term within the Spring or Summer semesters, you will receive a special tuition rate on your second course. This discount is for graduate students in good standing, enrolled in a degree program.
- For the standard tuition rate receive $200 off your second course of the term
- For the truEd/partnership rates receive $150 off your second course of the term
Important Note: This special tuition rate is based on course availability. If a second course isn’t available in your degree program for a given term, the rate cannot be applied.
This offer applies to each of the four terms during the 2025 Spring and Summer semesters—Spring 1, Spring 2, Summer 1, and Summer 2, up to four times during these semesters. This special tuition rate does not extend to any additional courses, such as a third course in a term.
The special tuition rate will be applied to the next semester as a credit after the entire semester is complete. If you do not plan to return for the next term, graduate from your program, or have other extenuating circumstances, the credit may be issued as a refund. This special tuition rate is available if you complete two courses in a term and have paid your tuition. For example, if you register for two courses but drop one, the rate will not be applied.
Meet the Program Director
Richard Pickering, PhD
- Computer Science
- Software Development
- Software Engineering & Project Management
- Web Design & Development
About
Dr. Richard Pickering is an Assistant Professor and the Program Director for Technology here at Champlain College Online. Richard has a Ph.D. in Teaching and Learning coupled with an MBA and numerous technology-related certifications.
Prior to Champlain, Dr. Pickering enjoyed a distinguished career blending pedagogical expertise with strategic leadership in program management and product development in the educational business sector.
Dr. Pickering also has held positions as Chief Executive Officer at Virtual High School Global Consortium, Chief Operating Officer at Victory Productions, various Program/Product Manager posts as well as Adjunct Professor appointments.
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