Cybersecurity vs. Data Science Degree Programs: Explaining the Difference for 2025

Co-Founder and Chief Data Scientist

The demand for tech professionals is rising, with cybersecurity and data science jobs projected to grow by over 30% in the next decade. Salaries are equally promising, with computer and mathematical occupations, in general, averaging $113,140 per year. With such strong career prospects, many students debate whether cybersecurity or data science is the better choice. The key is understanding how these degree programs differ in coursework, career opportunities, and qualifications. While some cybersecurity roles can be accessed with certifications, many data science positions require at least a master's degree. This article breaks down the differences between these fields, helping students choose the path that best aligns with their skills, interests, and long-term goals.

Key Things You Should Know About the Differences Between Cybersecurity and Data Science Degree Programs

Cybersecurity focuses on operations and risk management, while data science is driven by mathematics and analytics. Cybersecurity professionals work to protect systems, data, and networks, often emphasizing operational security and compliance. Data scientists, on the other hand, analyze large datasets using statistical models and machine learning to generate insights.
A master's degree is often necessary for data science, while cybersecurity offers multiple entry points. Many data science roles require at least a master’s degree due to the heavy use of mathematics, statistics, and machine learning. In contrast, cybersecurity professionals can enter the field with a bachelor’s degree or industry certifications, such as CISSP or Security+.
Cybersecurity professionals earn a higher median salary, but top data science roles can be highly lucrative. The median salary for cybersecurity professionals in 2023 was $120,360, compared to $108,020 for data scientists. However, data scientists in industries like semiconductor manufacturing and media streaming can earn well over $150,000 annually.
Cybersecurity and data science have strong job growth. Both fields are expected to grow significantly over the next decade, with cybersecurity jobs increasing by 33% and data science jobs by 36%. This makes them among the fastest-growing career paths in technology.
Some of the highest-paying roles in both fields exist in niche industries. The highest-paying industry for information security analysts is computer and peripheral equipment manufacturing, with an average salary of $184,190. For data scientists, the highest-paying industry is taxi and limousine services, where salaries average $172,970—likely due to demand for AI-driven logistics and route optimization.

Cybersecurity vs. Data Science Degree Programs: What are the differences?
What can I expect from a cybersecurity degree program in 2025?
Can you enter the cybersecurity field with just a certification or bootcamp training?
What career paths are available for graduates of cybersecurity degree programs?
How much can I earn as a cybersecurity professional?
What can I expect from a data science degree program?
What are the top certificates for data science?
What career paths are available for graduates of data science degree programs?
How much can I earn as a data scientist?
What emerging trends will shape future careers in cybersecurity and data science?
Can exploring interdisciplinary fields like bioinformatics broaden career opportunities?
Can Interdisciplinary Studies Enhance Career Flexibility?
What is the job outlook for cybersecurity and data science jobs?
Cybersecurity vs. Data Science Degree Programs: How do you choose?
How important is accreditation and program quality for future career success?
Is a Cyber Security Degree Worth It?
Are Accelerated Online Programs a Viable Option for Fast-Tracking Your Tech Career?
Other Things You Should Know About Cybersecurity vs. Data Science Degree Programs

Cybersecurity vs. Data Science Degree Programs: What are the differences?

Cybersecurity and data science are rapidly growing fields centered around data and technology, but they serve distinct purposes. Cybersecurity focuses on safeguarding systems and data from threats, while data science uncovers insights to drive decision-making. Both fields offer strong career prospects, yet they demand different skill sets and problem-solving approaches—reflected in the differences between cybersecurity and data science degree programs.

Cybersecurity and Data Science: Security vs. Insights

Cybersecurity is primarily about protecting systems, networks, and sensitive data from cyber threats. Professionals in this field work to prevent, detect, and respond to security incidents, ensuring organizations remain resilient against cyberattacks. Cybersecurity professionals rely on skills in network security, encryption, ethical hacking, and risk management. Depending on the role, expertise in firewalls, intrusion detection, cloud security, and regulatory compliance is essential—key areas for anyone researching how to start a cybersecurity career.

Data science, on the other hand, is about extracting insights from structured and unstructured data. Using programming, statistics, and machine learning, data scientists develop models that help businesses make informed decisions, predict trends, and automate processes. As such, data scientists focus on programming (Python, R, SQL), statistical analysis, and artificial intelligence. They use frameworks like TensorFlow and Scikit-learn to build predictive models, making advanced mathematics and statistics a critical part of the discipline.

At their core, cybersecurity degree programs focus on defense—teaching students how to protect systems and mitigate risks—while data science programs emphasize discovery, equipping students with the skills to analyze data and generate insights.

In 2023, there were around 192,710 data scientists and 175,350 information security analysts in the American workforce.

How Education and Work Settings Differ

Cybersecurity offers multiple entry points, from certifications and bootcamps to bachelor's and MBA programs with a cybersecurity focus. Many professionals start with industry-recognized certifications like CISSP or CISM, and while advanced degrees can be beneficial for leadership roles, they are not always required.

Cybersecurity professionals typically work in security operations centers (SOCs), IT departments, or consulting firms, ensuring organizations remain secure and compliant. Their day-to-day responsibilities include monitoring threats, implementing security measures, and responding to cyber incidents.

Data science, on the other hand, often requires a strong background in mathematics, statistics, and programming. Masters degree holders usually take data science, statistics, or a related quantitative field, as employers frequently seek candidates with expertise in machine learning, big data technologies, and cloud computing.

Data scientists work in research labs, technology companies, and business intelligence teams, using data analysis and machine learning to drive business decisions, optimize systems, and uncover trends in fields like healthcare, finance, and e-commerce.

The following sections will break down these differences further, exploring what each degree program entails, available career paths, salary expectations, and industry demand. Whether you are drawn to defending digital infrastructure or analyzing complex data, understanding these details will help you determine which path aligns best with your skills and interests.

What can I expect from a cybersecurity degree program in 2025?

A cybersecurity degree program provides the technical and strategic knowledge needed to protect digital systems from cyber threats. Students develop expertise in areas such as network security, cryptography, ethical hacking, and risk management. The curriculum blends theoretical foundations with hands-on experience, preparing graduates for roles in security operations, compliance, and threat intelligence.

Core Courses: Building a Strong Security Foundation

Most cybersecurity degree programs include coursework that covers the essential principles of securing digital assets and responding to cyber incidents. Key topics often include:

Network security. Understanding how to protect data as it moves across systems.
Ethical hacking. Learning penetration testing techniques to identify system vulnerabilities.
Cryptography. Exploring methods for encrypting and securing sensitive information.
Cyber law and compliance. Understanding regulations like GDPR and HIPAA.
Incident response and forensics. Investigating breaches and mitigating threats.

Some programs also include electives in cloud security, artificial intelligence in cybersecurity, and security analytics to align with emerging industry needs.

Hands-On Experience: Simulations, Labs, and Certifications

A strong cybersecurity program goes beyond lectures, incorporating labs and simulations where students apply their knowledge to real-world scenarios. Many universities partner with industry organizations to provide hands-on training through virtual labs, capture-the-flag competitions, and security incident response exercises. Some programs also integrate certification prep for credentials like Certified Ethical Hacker (CEH) and CompTIA Security+, helping students enhance their resumes before graduation.

Degree Levels and Online Options

Cybersecurity degrees are available at the associate, bachelor's, and master's levels. While a bachelor’s degree is the most common entry point, many professionals pursue master’s degrees to specialize in fields such as cybersecurity management or digital forensics.

For students looking for flexible options, online programs provide an alternative to traditional on-campus degrees. Some of the cheapest online cyber security degree programs still offer a rigorous curriculum while being accessible to working professionals. When evaluating these programs, it’s important to consider accreditation, faculty expertise, and hands-on learning opportunities.

Can you enter the cybersecurity field with just a certification or bootcamp training?

Breaking into cybersecurity doesn’t always require a traditional degree. Many professionals enter the field through industry-recognized certifications and intensive bootcamp programs. These alternative pathways provide a faster and more affordable way to gain practical skills, making cybersecurity an accessible career option for individuals with technical aptitude and a willingness to learn.

Certifications: A Credential-Based Entry Path

Industry certifications demonstrate expertise in specific cybersecurity domains and are often valued by employers as much as—or sometimes more than—a degree. Some of the most recognized cyber security certifications online include:

CompTIA Security+. A foundational certification covering network security, cryptography, and risk management.
Certified Ethical Hacker (CEH). Focuses on penetration testing and ethical hacking techniques.
Certified Information Systems Security Professional (CISSP). A more advanced credential for experienced security professionals.
Certified Cloud Security Professional (CCSP). Specializes in securing cloud-based environments.
GIAC Security Essentials (GSEC). Covers hands-on security skills beyond theoretical knowledge.

Many of these certifications can be earned through self-study, online courses, or structured training programs. Some employers even sponsor certification exams for entry-level hires to develop their cybersecurity workforce.

Bootcamps and Employer Demand: Can you get hired without a degree?

Cybersecurity bootcamps provide intensive, hands-on training in areas like threat analysis, penetration testing, and incident response. Lasting from a few weeks to several months, they often include real-world simulations and employer partnerships that create direct hiring opportunities.

Many cybersecurity roles prioritize skills and certifications over degrees, especially for entry-level positions. While leadership and specialized roles may require formal education, practical experience from labs, internships, and security competitions can be just as valuable. Bootcamp graduates with industry certifications can qualify for roles like security analyst, SOC analyst, or penetration tester, making these programs a viable entry point into the field.

Cybersecurity professionals, with or without formal degrees, can find high-paying jobs in industries like computer manufacturing ($184,190) and web search portals and online services ($182,660).

What career paths are available for graduates of cybersecurity degree programs?

A cybersecurity degree prepares graduates for a wide range of careers in protecting digital assets, securing networks, and mitigating cyber threats. Graduates can find opportunities in government agencies, financial institutions, healthcare organizations, and tech companies. Depending on experience and specialization, career paths range from hands-on technical roles to strategic leadership positions.

Security analyst. Monitors networks, investigates security breaches, and implements protective measures to defend against cyber threats.
Penetration tester. Conducts ethical hacking exercises to identify vulnerabilities in systems and applications before attackers exploit them.
Security engineer. Designs, implements, and maintains security infrastructure, including firewalls, intrusion detection systems, and encryption protocols.
Incident response specialist. Responds to security incidents, analyzes threats, and develops strategies to prevent future breaches.
Governance, risk, and compliance (GRC) analyst. Ensures organizations adhere to cybersecurity policies, industry regulations, and risk management frameworks.
Cloud security specialist. Focuses on securing cloud environments, implementing identity management solutions, and protecting cloud-based applications.
Forensic analyst. Investigates cybercrimes by analyzing digital evidence and reconstructing attack methods to assist law enforcement or corporate investigations.
Chief information security officer (CISO). Leads an organization's security strategy, manages risk, and ensures compliance with security regulations and best practices.

With increasing cyber threats and regulatory requirements, demand for graduates with a cybersecurity degree remains high across industries. Whether pursuing a technical or leadership role, graduates have multiple career pathways to explore based on their skills and interests.

In 2023, the industries with the highest employment levels in information security analysts were computer systems design and related services (40,290) and management services (16,510).

How much can I earn as a cybersecurity professional?

A cybersecurity degree is one of the majors that make the most money, offering competitive salaries across various industries. In 2023, information security analysts earned an average annual salary of $124,740, with entry-level positions starting at $69,210 and top earners making over $180,000.

Salaries vary depending on experience, certifications, and industry. Professionals in computer manufacturing, finance, and software development tend to earn the highest wages, with some sectors paying well above the national average. For example, cybersecurity experts in technology and financial services often see salaries exceeding $140,000, while those in media and web services can reach $180,000 or more.

Leadership roles, such as security architects and chief information security officers (CISOs), offer even higher earning potential, particularly in large corporations and government agencies. With demand for cybersecurity professionals projected to grow, salaries in the field are expected to rise, making it a financially rewarding career choice.

How much can I earn as an information security analyst?

What can I expect from a data science degree program?

A data science degree program provides the technical and analytical skills needed to extract insights from complex datasets. Students develop expertise in programming, machine learning, statistical modeling, and big data technologies. The curriculum blends theoretical foundations with hands-on applications, preparing graduates for roles in analytics, artificial intelligence, and data-driven decision-making.

Core Courses: Statistical and Computational Foundations

Most data science degree programs include coursework that covers key methodologies in data analysis and predictive modeling. Core topics often include:

Machine learning. Developing algorithms for classification, regression, and clustering.
Big data technologies. Learning tools like Hadoop, Spark, and cloud computing platforms.
Statistical modeling. Applying probability, hypothesis testing, and Bayesian inference.
Data visualization. Communicating insights using tools like Tableau and Matplotlib.
Database management. Working with SQL and NoSQL databases for data storage and retrieval.

Many programs also offer electives in deep learning, business intelligence, and natural language processing to align with industry trends.

Hands-On Experience: Projects, Internships, and Capstone Work

A strong data science program emphasizes practical experience through real-world projects, case studies, and internships. Many universities collaborate with tech firms, financial institutions, and research organizations to provide students with industry-relevant experience. Capstone projects often require students to solve a complex data problem, applying machine learning and analytical techniques to deliver actionable insights.

Degree Levels and Online Options

Data science degrees are available at the bachelor’s and master’s levels, with an MS in data science being the most common route for specialization. Many professionals pursue a master's to gain expertise in advanced algorithms, cloud computing, and AI-driven analytics.

For those looking for affordable universities in USA for MS in data science, many institutions offer cost-effective options with strong curricula. Online programs also provide flexibility, making it easier for working professionals to advance their education while balancing other commitments.

What are the top certificates for data science?

A data science certificate can help professionals build or refine their expertise without committing to a full degree program. While a master's degree remains the most common qualification for advanced roles, certificates can serve as standalone credentials for career changers or as supplemental training for those with a technical background. They focus on practical skills in programming, data analysis, and machine learning, making them valuable for skill upgrades or specialization. Many of these programs can be completed in under a year, with some offering accelerated options.

Industry-Recognized Certifications

Several well-regarded certifications can boost a data science career by validating technical competencies and industry knowledge:

Certified Data Scientist (CDS). Covers statistical analysis, machine learning, and business applications.
Microsoft Certified: Azure Data Scientist Associate. Focuses on AI solutions and cloud-based machine learning.
IBM Data Science Professional Certificate. Offers foundational training in Python, SQL, and data visualization.
Google Data Analytics Certificate. Provides hands-on experience in data cleaning, analysis, and visualization.
SAS Certified Data Scientist. Specializes in predictive modeling, data mining, and big data analytics.

Short-Term Certificates: Fast-Track to Higher Earnings

For those looking for 6-month certificate programs that pay well, many universities and online platforms offer intensive bootcamp-style programs. These programs focus on high-demand skills like Python programming, SQL, and deep learning, helping professionals qualify for roles such as data analyst, machine learning engineer, or business intelligence specialist.

With the right certification, professionals can strengthen their credentials and improve their job prospects in a highly competitive field. Getting the right credentials opens doors to advanced roles in high-paying industries. In 2023, the highest-paying industries for data scientists include taxi and limousine services ($172,970) and computer manufacturing ($171,760).

What career paths are available for graduates of data science degree programs?

A data science degree provides access to a wide range of careers that leverage data-driven decision-making, predictive analytics, and artificial intelligence. Graduates find opportunities in technology, finance, healthcare, consulting, and government. Depending on specialization and experience, roles vary from technical positions in machine learning to strategic roles in business intelligence.

Data analyst. Collects, processes, and interprets data to identify trends and support business decisions.
Machine learning engineer. A role that falls under the new types of engineering careers, focusing on designing and deploying AI-driven models to automate decision-making and optimize processes.
Business intelligence analyst. Develops data-driven insights to improve operational efficiency and strategic planning.
Data engineer. Builds and maintains data pipelines, databases, and cloud infrastructures to support analytics workflows.
Quantitative analyst. Uses statistical models and programming to assess risk and optimize financial strategies.
AI researcher. Develops and improves artificial intelligence algorithms and deep learning models.
Healthcare data scientist. Analyzes patient data, medical records, and treatment outcomes to improve healthcare solutions.
Chief data officer (CDO). Oversees data strategy, governance, and analytics initiatives at an organizational level.

As industries increasingly rely on data-driven insights, demand for data scientists continues to grow. In 2023, the sectors with the highest employment levels for data scientists included computer systems design (23,150) and corporate management (19,060), reflecting the broad applicability of data science across various domains.

How much can I earn as a data scientist?

Data scientists earn competitive salaries, reflecting their expertise in data analysis, machine learning, and statistical modeling. In 2023, the average annual salary for data scientists in the US was $119,040, with earnings ranging from $61,070 at the entry level to $184,090 for experienced professionals.

Salaries vary based on industry and specialization. Some of the highest-paying sectors for data scientists include technology, financial services, and advanced manufacturing. Roles in industries such as artificial intelligence, cloud computing, and algorithmic trading often command top salaries due to their reliance on complex data models and automation.

While compensation depends on experience, education, and location, data science remains a field with strong earning potential across industries.

How much can I earn as a data scientist?

What emerging trends will shape future careers in cybersecurity and data science?

Rapid advancements in technology are redefining industry standards and altering career trajectories in both fields. Cybersecurity professionals are increasingly leveraging artificial intelligence and machine learning for predictive threat assessment and automated response systems, while data scientists are addressing the challenges of big data with real-time analytics and advanced visualization tools. These trends demand continuous technical upskilling, industry-focused certifications, and a proactive approach to emerging methodologies. Additionally, evolving sectors such as IoT security and quantum computing are creating niche roles that further diversify career opportunities and impact overall computer science salary.

Can exploring interdisciplinary fields like bioinformatics broaden career opportunities?

Incorporating interdisciplinary studies can unlock niche career paths that merge analytical skills with domain-specific knowledge. A focused approach to bioinformatics, for instance, harnesses data science techniques within the life sciences, offering unique prospects in healthcare and biotechnology. Specialized educational tracks, such as those found in bioinformatics masters programs, equip professionals with the ability to tackle complex problems at the intersection of technology and biology. This expanded skill set not only enhances career flexibility but also positions individuals favorably in a rapidly evolving tech landscape.

Can Interdisciplinary Studies Enhance Career Flexibility?

Integrating interdisciplinary studies can create a unique competitive edge in today’s evolving tech landscape. By combining core cybersecurity or data science skills with complementary disciplines, professionals can address complex challenges that span multiple domains. This approach not only diversifies expertise but also increases adaptability to emerging technologies and market shifts. For instance, incorporating elements from life sciences and computational research—exemplified by programs like bioinformatics master online—can open novel career pathways and foster innovative problem-solving.

What is the job outlook for cybersecurity and data science jobs?

The demand for both cybersecurity professionals and data scientists is expected to grow significantly over the next decade, driven by increasing digital transformation, cybersecurity threats, and the need for data-driven decision-making.

Cybersecurity roles continue to expand as organizations face rising cyber threats and stricter regulatory requirements. Employment for information security analysts is projected to grow by 33% from 2023 to 2033, adding an average of 17,300 job openings per year. Industries such as finance, healthcare, and government are particularly in need of cybersecurity talent to protect sensitive data and critical infrastructure.

Similarly, demand for data scientists continues to rise as businesses invest in big data, machine learning, and AI to shape strategic decisions. The field is expected to grow by 36% in the same period, generating about 20,800 new job openings each year. Sectors such as technology, finance, and healthcare are at the forefront of this trend.

These trends not only highlight strong job prospects in both areas but also serve as useful context for a data science and computer science programs comparison, helping prospective students align their educational paths with high-growth career opportunities.

What is the job outlook for data scientists and cybersecurity professionals?

Cybersecurity vs. Data Science Degree Programs: How do you choose?

Deciding between a cybersecurity and a data science degree depends on your interests, strengths, and career goals. Both fields offer strong job growth, competitive salaries, and opportunities across industries—but they require different skill sets and problem-solving approaches. It's also helpful to understand how this decision fits within the broader conversation of cyber security vs computer science, since each discipline brings its own focus and career pathways.

Cybersecurity is the right choice if you’re interested in protecting digital systems, analyzing cyber threats, and securing sensitive data. It requires expertise in network security, encryption, ethical hacking, and compliance. If you enjoy problem-solving, working in high-pressure environments, and defending against cyberattacks, this field may be a good fit.

Data science is ideal if you’re drawn to extracting insights from data, building predictive models, and working with machine learning. This field demands strong programming skills, statistical knowledge, and expertise in data visualization. If you like working with large datasets, uncovering patterns, and driving business decisions, data science could be the better path.

Your choice should also consider educational requirements. Cybersecurity has multiple entry points, with opportunities through certifications, bootcamps, and degree programs. Data science often requires a stronger foundation in mathematics and programming, making a master’s degree the most common route.

Both fields offer high-demand career opportunities, so selecting the right path comes down to your strengths and professional aspirations.

How important is accreditation and program quality for future career success?

Evaluating tech degree programs demands rigorous attention to accreditation and institutional quality. Scrutinize program curricula, faculty expertise, and industry partnerships to ensure that your chosen pathway meets established academic and professional standards. Verification through certification pass rates and alumni career outcomes can provide quantifiable insights into program effectiveness. Complementing your primary degree with a affordable online software engineering degree may further diversify your technical skills and enhance career adaptability in a competitive market.

Here's What Graduates Have to Say About Their Cybersecurity vs. Data Science Degree Program Choices

I was working in retail management for years but wanted something more future-proof. Studying cybersecurity online gave me the flexibility to keep my job while learning practical skills. The labs, case studies, and certification prep were incredibly hands-on. I landed a SOC analyst role within a month of graduating, and I’ve never looked back. George
Leaving my job to go back to school wasn’t an option, but an online data science program let me study at my own pace. The biggest advantage was being able to work on real-world datasets and industry projects, which made my resume stand out. Within six months, I was promoted from a business analyst to a data scientist. I never thought I could make such a career leap while still working full-time. Mei
I kept hearing about the cybersecurity talent shortage, so I decided to give it a shot. My online degree program covered everything from incident response to cloud security, and I got my Security+ certification along the way. I had three job offers before I even finished my last course. Cybersecurity is one of the best fields to be in right now, and I’m glad I made the switch. Kurt

Is a Cyber Security Degree Worth It?

Evaluating the financial and professional benefits of pursuing a cybersecurity degree can be critical when mapping out your educational investment. This section discusses return on investment factors—including tuition costs, potential salary increases, job security, and career advancement opportunities—to help you assess whether the long-term benefits outweigh initial expenditures. Detailed cost-benefit comparisons, funding strategies, and anticipated career trajectories are key considerations for anyone weighing their options. For a deeper dive into the degree’s value proposition, see Is a cyber security degree worth it?.

Are Accelerated Online Programs a Viable Option for Fast-Tracking Your Tech Career?

Accelerated online programs offer a dynamic learning environment that enables students to complete rigorous coursework in a shorter period while maintaining high academic standards. This streamlined approach not only increases flexibility and reduces time-to-graduation but also aligns with the fast-evolving demands of the tech industry. By integrating practical projects and real-world applications into their curricula, these programs ensure that graduates are equipped with the hands-on experience necessary to succeed in competitive technical roles. For example, pursuing an accelerated bachelor's degree computer science online can provide the critical combination of speed and quality needed to gain a competitive edge in today’s job market.

Key Findings

In 2023, cybersecurity professionals had a median annual salary of $120,360, while data scientists earned $108,020. Both fields offer competitive salaries compared to other computer and math-related occupations.
Data science and cybersecurity are among the fastest-growing fields, with projected job growth of 36% and 33%, respectively, from 2023 to 2033. This demand translates into thousands of new job openings each year.
Information security analysts in industries like computer and peripheral equipment manufacturing earned up to $184,190, while data scientists in certain sectors, such as taxi and limousine services, earned as much as $172,970.
The largest employers of cybersecurity professionals and data scientists in 2023 included computer systems design firms, management companies, and consulting services, where salaries often exceeded $120,000.
In 2023, the US employed approximately 192,710 data scientists and 175,350 information security analysts, highlighting the growing role of both fields in the economy.
Among all computer and IT jobs, cybersecurity professionals ranked among the highest-paid, surpassing database administrators and network architects, while data scientists earned more than statisticians and operations research analysts.

Other Things You Should Know About Cybersecurity vs. Data Science Degree Programs

Which is better, data science or cyber security?

The choice between data science and cybersecurity depends on career goals and interests. Data science focuses on analyzing large datasets to extract insights, predict trends, and improve decision-making. Cybersecurity, on the other hand, is about protecting systems, networks, and data from cyber threats. Both fields offer strong job growth and high salaries, but they require different skill sets. If you enjoy working with statistics, programming, and machine learning, data science may be the better fit. If you prefer security, risk management, and ethical hacking, cybersecurity may be the right choice.

Which pays more, cyber security or data science?

Salaries for both cybersecurity and data science professionals are competitive. In 2023, the average annual salary for an information security analyst was $124,740, while data scientists earned an average of $119,040. However, salary potential varies by industry and experience level. Cybersecurity professionals in high-paying industries, such as computer manufacturing, can earn over $180,000, while top data scientists in sectors like web search portals and media services can also make six-figure salaries.

Can you get a cybersecurity job with a data science degree?

A data science degree can provide valuable skills for cybersecurity roles, but additional training in security concepts, network protection, and ethical hacking may be required. Some cybersecurity positions, such as security data analyst or threat intelligence analyst, benefit from a strong background in data science. Certifications in cybersecurity, such as Certified Ethical Hacker (CEH) or CompTIA Security+, can help data science graduates transition into security-related roles.

Do you need a master’s degree to work in cybersecurity or data science?

A master’s degree is not always required for cybersecurity or data science, but it can improve job prospects and earning potential. Many cybersecurity roles accept candidates with a bachelor’s degree, industry certifications, or hands-on experience. In data science, a master’s degree is more common, as employers often seek advanced knowledge in machine learning, statistics, and big data technologies. However, some professionals enter both fields through bootcamps, certifications, or self-study combined with experience.

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