Data Science Certificate Programs

If you’re interested in data science, or perhaps have already completed a bootcamp, a graduate data science certificate may be worth considering. A graduate certificate in data science generally takes less time to complete and is more affordable than a master’s degree.

Data science certificate programs may also be a way to get a taste for data science before committing to a more long-term program. There are also more specialized certificate programs—those in applied statistics or mortgage analytics, for example—that may appeal to you if you’re already working in data science or want to add a concentration to a master’s degree that you’re currently pursuing.

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Why a Data Science Certificate?

A data science certificate is a formal course of study that universities typically offer to students who have already completed their bachelor’s degree. In comparison to a full master’s or PHd program, certificates provide a relatively quick way to get up to speed in a specialized field of study—in this case, data science. Certificate programs are common in a number of fields, such as business and cyber security.

Here are some potential reasons to pursue a graduate certificate in data science or a related specialty:

• You’re looking to advance at your current company. Perhaps you’re a financial, business or systems analyst keen to master the latest data analysis methods. Or maybe you’re a computer scientist or statistician itching to dig deeper into big data. You may even be a manager interested in harnessing data science to improve business performance. A data science certificate may equip you with the skills and knowledge to advance in roles like these.
• You want to switch careers (or you’re just starting out). Whether you’re fresh out of college with some statistics and computer programming under your belt or mid-career and looking for a change, why not aspire to be a data scientist? Online certificate programs may provide a flexible way for you to explore this career path.
• You want to specialize. Some certificate programs are designed so that you can apply some of the credits toward a master’s degree. Completing a data science certificate may give you a more in-depth understanding of a data science subfield. You may enroll in such programs while still pursuing your master’s degree or afterwards, as an alternative option.

In terms of graduate certificates in data science, you may choose a general path or specific path (e.g., data mining or business analytics). If you’re just getting started in the data science field, the general path may suit you so you can learn key terminology and concepts. However, if you already have a data science background (educational or professional) or are interested in a specific data science application, you may consider a more specialized program.

What’s the Difference Between Data Science Certificates and Courses?

Data science certificates are typically made up of multiple courses, while a data science course is a standalone class composed of multiple modules. Certificates vs. courses may cover some of the same topics. However, since data science certificates include multiple courses, they often provide a more thorough curriculum than a single data science course.

If you’re choosing between a data science certificate versus course, you may consider curriculum and duration. In terms of curriculum, what do you want to learn about? There may be data science certificates and courses that cover the topics you’re interested in. However, a data science certificate may go more in depth on the topic than a single course. This is why you may also want to consider program duration.

In what timeframe do you want to complete your data science studies? If you only want to spend a month or two studying, a data science course may be a better option than a certificate program. Similarly, a course may be a way to see how interested you are in data science before committing to a longer certificate program. If you enjoy it, you might work toward completing a certificate program next.

Data Science Certificate Curriculum

Data science certificates vary in terms of courses and if you’re able to tailor the curriculum by choosing electives. In general, a program may be made up of three to five courses. Some programs may also include a capstone or similar project.

Some data science certificate course topics may include:

• Artificial intelligence
• Machine learning
• Big data analytics
• Data mining
• Quantitative methods
• Business intelligence
• Regression and variance
• Network theory
• Information retrieval
• Applied statistics
• Data privacy and protection
• Data visualization
• Data management systems

The exact curriculum may vary from program to program, and it may also depend on the specialty track you choose. For example, in addition to a general data science certificate, you may pursue a certificate in applied analytics, business analytics or data mining. Additionally, companies like IBM and Microsoft offer their own data science certificate programs customized around their technologies.

Certificate program admissions requirements may vary. Check the specific admissions requirements of the data science certificate programs you’re interested in.

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How to Choose the Best Data Science Certificate for You

Choosing the best data science certificate for you depends on many factors. If you’re ready to pursue a certificate, consider the following:

• Cost. How much are you able to (or do you want to) spend on a certificate program? Do you need financial aid? These can be helpful questions to ask yourself. When researching programs, look into their financial aid offerings and ask what type of aid is available to students.
• Curriculum. As mentioned previously, consider what data science topics you want to learn about. You may even make a list of these topics and have it handy when you’re reading about different programs’ curriculums.
• Career goals. If you have a specific career you want to enter, do some research to find out how the industry or specific companies regard certificate programs.
• Transferability. If you think you may want to pursue a master’s degree eventually, try looking for certificate programs whose courses can be applied toward a more advanced degree. You may even be able to pursue a data science certificate and master’s degree at the same time.
• Flexibility. Do you plan to work a full- or part-time job while you complete a data science certificate? If so, flexibility may be important to you. Many online programs are self-paced so you can take your time with course material.

Data Science vs. Data Analytics Certificates

While both data science and data analytics certificates may help prepare you for a career in a data-related field, there are some differences to keep in mind. Data science certificate curriculum may focus on topics such as structured and unstructured data, databases, Python and machine learning. Data analytics certificate curriculum may focus more on understanding and organizing data; course topics may include data analysis, pattern recognition and artificial intelligence.

To really understand the difference between these two certificates, let’s discuss the differences between data science and data analytics.

Data science combines mathematics, statistics and computer science. Data scientists may design and construct algorithms, predictive models and tools used to make predictions that enhance their understanding of the problems under investigation. These professionals may have a master’s in data science or another advanced degree in a STEM field such as computer science, statistics or mathematics. Those pursuing a certificate in data science might be interested in related careers such as a data engineer or data analyst as well.

While data science works to extract information, data analytics focuses on interpreting that information. A data analyst examines large data sets and translates them into solutions for problems relevant to their industry.

Now that you know a little more about data science versus data analytics, you may have a better idea of whether you’re more interested in a data analytics or data science certificate. Either certificate may help you advance your data knowledge and skills.

Interested in STEM Careers?

If you’re looking for information on career paths that involve STEM, see our guides below:

Data Science and Analytics Careers:

• Data Scientist
• Statistician
• Data Architect
• Data Engineer
• Data Analyst
• Business Analyst
• Business Intelligence Analyst
• Financial Analyst
• Quantitative Analyst

Computer Science, Computer Engineering and Information Careers:

• Computer Engineer
• Computer Scientist
• Information Security Analyst
• Computer and Information Research Scientist
• Computer Systems Analyst

Marketing and User Research Careers:

• Marketing Analyst
• Market Research Analyst
• Digital Marketer
• UX Designer

Compare Careers and STEM Fields:

• Data Analyst vs Data Scientist
• Computer Science vs. Computer Engineering
• Cybersecurity vs. Computer Science
• Data Analytics vs. Business Analytics
• Data Science vs. Machine Learning

Related Graduate STEM Degrees

• Master’s in Business Analytics
• Master’s in Information Systems
• Master’s in Computer Engineering
• Master’s in Computer Science
• Master’s in Cybersecurity Programs
• Master’s in Accounting Analytics
• Master’s Applied Statistics
• Master’s in Business Intelligence
• Master’s in Data Analytics for Public Policy
• Data Science MBA Programs
• Master’s in Geospatial Science and
• Geographic Information Systems
• Master’s in Health Informatics
• Master of Library and Information Science

Related Undergraduate STEM Degrees

• Online Bachelor’s in Data Science
• Online Bachelor’s in Computer Science
• Sponsored: Computer Science at Simmons