Differences Between IT Degrees and Data Analytics Degrees
Choosing between an IT degree and a data analytics degree comes down to the type of problems you want to solve. Information technology (IT) degrees typically provide broad training in computer systems, networks, cybersecurity, software, and technology infrastructure. Data analytics degrees focus more specifically on using data to identify patterns, answer questions, and support better business decisions.
When comparing an IT degree and a data analytics degree, it’s also important to consider career opportunities, earning potential, and flexibility. Both fields can lead to technology-focused careers, but the skills you develop—and the jobs you pursue—can be quite different.
How Do IT and Data Analytics Degrees Differ?
An IT degree teaches students how organizations use, manage, secure, and maintain technology. Programs may cover networking, cybersecurity, software development, cloud computing, and computer systems. Because of this broad foundation, graduates can pursue opportunities across several areas of information technology.
A data analytics degree focuses on turning raw data into useful information. Students learn how to collect, clean, analyze, and visualize data and then how to communicate what their findings mean to shareholders. Programs may combine technical skills such as SQL and Python with statistics, visualization, and business communication. Data analytics coursework emphasizes the skills needed to examine information and communicate the insights it reveals.
Both fields are available for those at the bachelor’s and master’s levels. The right option depends largely on whether you want broad IT career flexibility or more specialized training centered on data.
Advanced analytics programs may also introduce machine learning, artificial intelligence, and big data technologies. For both degrees, applied projects can be particularly important, as they give students opportunities to demonstrate their analytical skills using realistic datasets and business problems.
What Skills Do You Develop in Each Degree?
An IT program can help students develop technical problem-solving skills that apply across computer systems and infrastructure. Depending on the program, those skills may include:
- Network design
- System troubleshooting
- Cybersecurity practices
- Software implementation
- Cloud computing
Data analytics programs develop a different technical tool kit. Common skills include:
- Cleaning and preparing data
- Querying databases with SQL
- Applying statistical methods
- Creating dashboards and visualizations
- Using tools such as Power BI, Tableau, and Python
- Explaining analytical findings to technical and nontechnical audiences
Another skill is data wrangling, which is the process of cleaning and transforming raw data into a usable format for analysis and visualization. This skill can be critical, depending on the analytics role.
As artificial intelligence and automation become more common in the workplace, both paths may require continuous learning. IT professionals may need to adapt the computer systems they manage, while analysts may use evolving technologies to examine increasingly complex datasets.
How Do Career Opportunities Compare?
Both degrees can lead to careers across industries, but they typically point toward different roles in the job market.
Common IT career paths include:
- Network administrator
- Systems analyst
- Cybersecurity specialist
- IT support specialist
- Cloud or infrastructure roles
An information technology degree generally offers broader technical career options because virtually every industry relies on IT infrastructure.
An information technology degree generally offers broader technical career options because virtually every industry relies on IT infrastructure. The U.S. Bureau of Labor Statistics (BLS) reports faster-than-average growth for those in computer and information technology occupations, estimating 317,700 openings projected each over from 2024 to 2034.
Common data analytics career paths include:
- Data analyst
- Business intelligence analyst
- Operations analyst
- Data scientist
- Advanced analytics roles
A data analytics degree offers a more specialized route into positions where your focus is on converting information into actionable business insights.
The data analytics career outlook and growing organizational interest in data have made analytics an attractive field, although competition for a data analyst job can be significant. Projects, portfolios, certifications, and industry-specific knowledge may help candidates stand out to employers.
How Does Salary Potential Differ?
Compensation for both IT and data analytics professionals varies substantially according to role, experience, education, certifications, location, and employer demand.
The median annual wage for workers in computer and information technology occupations was $105,990 in May 2024. But it is important to note that IT compensation varies a lot by specialization. A cybersecurity position, for example, may have a different salary range than an entry-level support or systems role.
Data analytics has similar variations in salary. For example, most annual salary benchmarks for data analysts are between $91,500 and $163,000, according to Syracuse University. Advanced analytics positions can offer greater salary potential, but they may also require deeper expertise in statistics, programming, machine learning, or artificial intelligence.
To find the best-fit role, students should compare specific occupations rather than choosing a degree based on a single salary figure.
What Are the Pros and Cons of IT vs. Data Analytics?
Advantages
Considerations
IT degree
Broad technical foundation and career flexibility across infrastructure, security, software, and related areas.
May offer less specialized training in analytics and business communication.
Data analytics degree
Focused analytical skills, business applications, and portfolio opportunities.
Entry-level analyst roles can be competitive, and advanced careers may require additional technical skills.
Advantages
Considerations
IT degree
Broad technical foundation and career flexibility across infrastructure, security, software, and related areas.
IT degree
May offer less specialized training in analytics and business communication.
Data analytics degree
Focused analytical skills, business applications, and portfolio opportunities.
Data analytics degree
Entry-level analyst roles can be competitive, and advanced careers may require additional technical skills.
Neither option is inherently better. The stronger choice is the one that aligns with your interests and long-term goals.
How to Know Which Degree Is Right for You?
Consider an IT degree if you enjoy troubleshooting technology, working with networks or computer systems, strengthening cybersecurity, or understanding how technology infrastructure works. It can also be a strong option if you want flexibility to explore several technical specialties over time.
Consider a data analytics degree if you enjoy working with numbers, identifying patterns, asking questions, and using evidence to solve business problems. Analytics may be particularly appealing if you want to combine technical abilities with communication and decision-making.
Whichever path you choose, practical skills, applied experience, and continuous learning can influence your long-term career outcomes.
For working adults and career changers, flexibility may also factor into the decision. WGU’s online competency-based approach allows students to progress by demonstrating mastery of material rather than spending a predetermined amount of time in a classroom. All the while, personalized faculty support can help students navigate their degree path.
Frequently Asked Questions
Not every data analyst job requires one specific degree. Employers may consider practical skills, projects, and analytical experience alongside education. However, earning a relevant degree or certificate can provide structured technical training and may expand the range of positions that you qualify for.
Yes. A previous IT or computer science background isn't necessarily required to pursue data analytics. Developing analytical skills and proficiency with commonly used data tools can help prepare you for the field.
Entry-level analytics roles commonly involve SQL and spreadsheet skills. Depending on the position, employers may also look for experience with Python and visualization platforms such as Power BI or Tableau.
A certification helps you develop targeted skills and demonstrate knowledge of a particular technology or discipline. A degree typically provides broader education that can support greater career flexibility over time. The best option depends on your existing experience and career goals.
An IT degree generally prepares students for a broader variety of technical roles involving systems, networks, cybersecurity, software, and infrastructure. A data analytics degree provides more specialized preparation for careers focused on analyzing data and translating it into actionable insights.
