Walk a new, exciting career path in data analytics
- Program length: 32 months
- 100% online classes you can take right at home
- Transfer up to 90 approved credits from an associate degree or prior college courses
- Prep for Certified Entry-Level Python Programmer (PCEP) certification, and more from Cisco, Microsoft and CompTIA – built-in as part of tuition1
- Earn dual credit towards an MBA degree program, including a concentration option in data analytics
Data Analytics program classes & curriculum details
Our program is designed to help you develop crucial competencies in data analytics, emphasizing in the fundamentals of IT to position you for a wide variety of job possibilities.
The bachelor’s degree plan includes 24 credit hours in required data analytics classes and 6 elective credit hours in the field of IT, information systems, computer science or a related discipline.
All classes are delivered online with a required capstone project or internship.
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Program availability varies by location
Required Courses in Information Technology
All courses, 49.00 semester credit hours, are required.
or IS 195 Transition to Technology Concepts *
* IS 195 is required of advanced standing students only.
** Completion of IT 346 Information Technology Project Management may be waived with the permission of the Academic Dean if the student has already completed BU 345 Project Management.
Required Courses in Technical Specialty Domain - Data Analytics
All courses, 24.00 semester credit hours, are required.
Elective Courses in Information Technology
A minimum of 6 semester credit hours in the field of information technology, information systems, computer science or a related discipline are required.
Required Capstone or Internship
All courses, 3.00 semester credit hours, are required.
Required Courses in General Education
Students enrolled in this bachelor's degree must complete a minimum of 36.00 semester credit hours in general education distributed among the following disciplines. Refer to the General Education section of the catalog for specific information about courses within each discipline. 12.00 Semester Credit Hours in Communications 9.00 Semester Credit Hours in Humanities (must include 3 semester credit hours of cultural diversity) 6.00 Semester Credit Hours in Mathematics 3.00 Semester Credit Hours in Science 6.00 Semester Credit Hours in Social and Behavioral Sciences
Personal and Professional Development Courses
A minimum of 2.00 semester credit hours is required.
Save time and money by earning dual credit
Students enrolled in Herzing University’s IT Bachelor of Science with a Concentration in Data Analytics program can get a head start on earning a Master of Business Administration (MBA).
Qualifying undergraduate students who pursue a data analytics concentration bachelor’s degree may apply up to 12 credits toward an MBA degree.
Data analytics graduates may choose one of several MBA concentrations, or consider our Dual Concentration option to add additional emphasis to your MBA credential.
What certifications can I pursue?
The “Python for Data Analytics” course includes prep for the Certified Entry-Level Python Programmer (PCEP) exam—and we’ll pay for your first attempt.
The Python programming language is a key component of our curriculum, given its top-ranking popularity and utility as a widely adopted tool for big data analysis. College-level coursework in Python can help you build a great foundation in a programming language you’ll be able to use throughout your data analytics career.
Our IT-focused curriculum also prepares you for certifications from Cisco, Microsoft and CompTIA—also built-in as part of your tuition!
Requirements to enroll in the Herzing University Data Analytics bachelor’s degree program include:
- Completed high school diploma, GED or equivalent
- Meet and interview with a Herzing University admissions advisor
- Complete an enrollment application
With Herzing University advancing your career IS possible. We are here to help you take the first step.
Your career path in data analytics
Developing a strong foundation in business analytics, database management, statistics and basic programming opens many professional doors across all major industries.
Potential job titles in data analytics include:
- Computer and Information Systems Manager
- Computer Network Architect
- Business Data Analyst
- Database Administrator
- Data Manager
How can I advance my career? After earning an undergraduate degree, you can potentially explore many opportunities at the graduate level, including a Master of Business Administration (MBA) with several concentration options, including Data Analytics, Technology Management, Project Management, and more.
A data analyst’s broad skillset provides them with potential qualification for a wide variety of jobs, many of which are projected for growth in the near future.
According to the Bureau of Labor Statistics (BLS), employment in data analyst-related jobs is expected to rise higher than average from 2019—from a from a 7% projected increase for Computer Systems Analyst to a 25% projected increase for Operations Research Analysts.2
Frequently Asked Questions
Based on a few of the most common career paths for data analytics professionals, average annual salaries can range from $73,970 for Market Research Analysts to $99,020 for Computer Systems Analysts, according to 2020 data from the Bureau of Labor Statistics.
How much you can potentially make depends on many factors, including state of employment, experience, education level, job roles and responsibilities, and much more.
Learn more about the earning potential in the field of data analytics, including estimates for additional types of jobs.
Yes. Herzing University offers multiple online programs for students seeking both foundational and advanced training in the fundamentals of data analytics:
- Bachelor of Science in Information Technology with a Concentration in Data Analytics
- Master of Business Administration (MBA) in Data Analytics
- Post Master’s Certificate in Data Analytics
Our goal is to provide you with the career-focused education you need to become a data analyst and advance your career—and make it as flexible and convenient as possible for your life circumstances.
Succeeding in a career in data analytics requires soft skills such as problem solving, critical thinking, mathematical and analytical thinking, attention to detail, creativity and ingenuity. A great data analyst has a knack for identifying the key takeaways from a dataset and understand how to communicate it to many different types of people, from fellow analysts to C-suite executives looking for actionable insights.
Every job will come with its own requirements for technical skills and programming languages, including SQL, Python, SAS, Git, Excel, R, or many more. Some jobs with a business emphasis may place a higher value on your ability to communicate the numbers rather than crunch them.
Data analysts can wear many hats. We offer educational programs in data analytics across the spectrum of business and technology to equip students with the tools necessary to thrive in a wide variety of potential career pathways.
Yes! Earning a degree with extensive courses in data analytics helps you build an excellent foundation to build and advance an exciting new career path in a growing field.
If you’re interested in uncovering key insights from data and become an important problem solver for all kinds of different types of businesses, a career in data analytics might be perfect for you. Your first step is getting educated!
Data analysis and data science are not the same thing. Here’s a general way to think about it:
- Data analysts examine big data sets to identify trends and create visualizations to help businesses make decisions. They build reports using the tools and materials provided to them using predetermined models. The scope is very focused.
- Data scientists concern themselves with the tools, materials, and models provided for analysts. It’s up to the data scientists to design and construct new processes to unearth new pathways to organizational insights. The scope is very broad.
According to the Bureau of Labor Statistics, earning jobs in the field of data science often requires a master’s degree in computer science or something similar.
It’s possible, but not likely. According to the Bureau of Labor Statistics, earning jobs in the field of data science often requires a master’s degree in computer science or something similar.
Keep in mind that while sometimes referred to interchangeably, data analytics and data science are not the same thing. Data analytics represents a focused scope of data interpretation, while data science is more concerned with the tools, materials and models provided for analysts.
Our undergraduate data analytics courses are designed specifically to build knowledge and skills in analysis, rather than delve too deeply into data science concepts.
The exploding world of information has made data analysis a fundamental part of doing business in the 21st century.
Data analytics and data science have utility in all sorts of different industries and disciplines, including IT, healthcare, economics, sports, entertainment, technology and the growth of machine learning, and so much more.
Data analytics represents a foundational skillset you can apply to many different job roles. Our emphasis is developing career-focused educational pathways for students, and what you take away from a data analytics program can be applied to a huge variety of jobs both now and in the future.
Becoming a data analyst and pursuing a new career path begins by committing to your education.
Beginners in the field of data analytics many wonder if they can become a data analyst without earning a degree, by either seeking out the minimum free courses or training to get their foot in the door in an entry-level job.
However, there is no substitute for an undergraduate program of study designed to build your knowledge and skills to succeed in a swiftly evolving career field.
Our institutional leaders continually refine the data analytics curriculum in accordance with real job skills demanded by employers, ensuring you are best equipped to hit the ground running upon graduation.
Earning a bachelor’s degree is a crucial step to begin and continue advancing a career in data analytics.
Bachelor of Science in Information Technology with a Concentration in Data Analytics Technology Degree Programs
Showing 1 programs for the Online campus
This program prepares students for a broad range of positions in the field of information technology. Foundational skills taught include end-user support, client/server operating systems, network infrastructure administration, security, scripting, database fundamentals, cloud computing, virtualization, data storage and technical communication. Advanced skills include database design, project management, information technology management and business systems analysis. Coursework in this program is designed to provide a foundation for select industry certifications.
Additional skills in data analytics technology include big data foundations, data analytics technologies, statistics for data analytics, data mining and analysis, data management and data presentation and visualization.
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Accreditation & Disclosures
1. Certification in this program is not a state requirement.
2. Bureau of Labor Statistics (BLS), U.S. Department of Labor, Occupational Outlook Handbook. Multiple factors, including prior experience, age, geography and degree field, affect career outcomes. Herzing does not guarantee a job, promotion, salary increase or other career growth. BLS estimates do not represent entry-level wages and/or salary.