Your target job should determine whether an online degree earns its cost. The Bureau of Labor Statistics says data scientists typically need at least a bachelor’s degree, while analyst requirements vary by employer. If you are weighing online data science bachelor’s degree career requirements, compare online data science bachelor’s programs before enrolling; the degree may clear an initial screen without deciding the hiring outcome.
Key Takeaways
- The degree makes the strongest case for data scientist and other jobs that expect college-level training in math, statistics, and computing.
- Data analyst and business intelligence titles require closer review because employers may accept several quantitative majors. The job title alone does not tell you whether this specific degree is necessary.
- A certificate can add a tool or skill, but it may not satisfy a job posting that screens applicants for a bachelor’s degree. That makes the certificate a useful supplement in some cases, not a reliable substitute for the credential an employer lists.
Read the education line in several job postings for your intended role. Then compare those requirements with each program’s math, programming, statistics, and data courses. A posting that asks for a bachelor’s degree and quantitative preparation points toward the degree; one that accepts several majors may leave you more room to choose a lower-cost route. That check tells you whether the program removes a hiring barrier or merely adds another credential.
Online Data Science Bachelor’s Degree Career Requirements by Role
Data scientist is the clearest match. O*NET places Data Scientists, occupation code 15-2051.00, in Job Zone Four, where most jobs require a four-year bachelor’s degree and considerable preparation. Employers can set higher standards, but the bachelor’s degree is the normal starting credential rather than an optional extra. That makes the degree especially relevant for applicants who want the data scientist title, while leaving room for employers to distinguish among candidates based on technical depth, experience, or the demands of a specific position.
The title covers preparing data, building models, testing results, and explaining findings. A useful program therefore needs more than a few software classes or a course that introduces one programming language. Required work should build depth across statistics, programming, data handling, and mathematical methods, because those areas support different parts of the job. The tradeoff is that a broader computing major may offer more flexibility for software-focused roles, while a data science program may align more directly with the analytical work behind this title. Compare computer science bachelor’s careers if you are also considering a broader computing major.
- Data scientist: A bachelor’s commonly meets the entry education level, though the major may vary. Review the required coursework carefully, since two degrees with similar names can prepare you for different kinds of work.
- Research-heavy data scientist: Graduate education may carry more weight when the work demands deeper theory or original research. The bachelor’s can establish the foundation, but it may not be the final education screen for these positions.
- Data science developer: Review whether postings favor software development skills alongside statistics. A program with strong analysis courses may still leave a gap if the role expects substantial programming or application development.
The career has strong demand, but that does not remove the education screen. The Bureau of Labor Statistics reports median annual pay of $120,230 in May 2025. It projects 35% employment growth from 2025–2035, adding 95,400 jobs, with about 24,800 openings each year. Those figures support the field’s appeal, not a guarantee of employment or pay. They also do not tell you which program will provide enough technical preparation for the jobs you want, so compare the required courses with actual postings before treating the degree title as evidence of readiness.
Analyst Careers Do Not Follow One Education Rule
Business intelligence analyst sits close to data science, but the education language is often less narrow. O*NET places Business Intelligence Analysts in Job Zone Four, where most occupations require a four-year bachelor’s degree, although some do not. That makes a bachelor’s degree a strong hiring credential without proving that every employer demands a data science major. For this role, the degree can establish the expected level of preparation, while the posting still determines whether the employer is looking for a particular major, technical tool, or type of analysis.
Operations research analyst is another role worth checking separately. The Bureau of Labor Statistics says these analysts typically need at least a bachelor’s degree, although some employers require a master’s degree. Because the work centers on quantitative decisions, job postings may accept degrees in analytics, mathematics, statistics, computing, or a related area. The range of acceptable majors matters if you are comparing a data science bachelor’s with a broader quantitative degree: the title alone does not tell you which program will satisfy a particular employer’s screening process. Explore computer and database career information for another view of data-focused work.
Data analyst is the broadest title in this group, so the job description carries more weight than the label. One employer may want reporting and dashboard skills, while another expects statistical modeling or database work. That variation changes what you should look for in a degree curriculum and what you should document before applying. Compare postings by task, not title alone:
- Note whether a bachelor’s is required, preferred, or not listed.
- Record which majors the employer accepts.
- List named tools, programming languages, and statistical methods.
- Check whether experience can replace part of the education requirement.
If most local postings accept several majors, a broader degree may work, particularly if its coursework covers the tasks employers actually list. If they repeatedly name data science, statistics, or computer science, a closely matched bachelor’s gives you a cleaner answer during an application screen. Review enough postings to separate a recurring requirement from a single employer’s preference, then compare those requirements with the courses and projects included in each degree.
The practical decision is whether the degree title will help you clear an initial screen, whether the coursework prepares you for the listed work, or both. A data science major may align directly with some postings, while a broader program may leave you more flexibility across roles that accept several majors. The postings provide the useful comparison: they show whether employers are filtering for the credential itself, the subject area, or the capabilities attached to it.
GetEducated's Picks
- Lamar University Bachelor of Science in Management Accounting & Analytics
- Purdue Global Bachelor of Science in Analytics
- American Public University System Bachelor of Science in Data Science
When a Certificate or Graduate Degree Makes More Sense
A certificate works best as an addition to prior education or experience. It can document training in a specific tool, language, or method, and it may give you a focused way to build project evidence around a skill employers have named. Its value is more limited when a posting uses a bachelor’s degree as a firm screening rule, because a hiring system may filter applicants before a recruiter reviews that additional training. Read the required qualifications before assuming a shorter credential will open the same jobs. The key question is whether the certificate adds to an education requirement you already satisfy or is being asked to replace one.
Your existing degree also changes the decision. The Bureau of Labor Statistics names mathematics, statistics, computer science, and related fields among the usual bachelor’s backgrounds for data scientists. Someone who already holds one of those degrees may need targeted coursework and project evidence more than a second bachelor’s, particularly if the desired role emphasizes a specific technical method. Someone without college-level quantitative training may gain more from the structured foundation of a full degree, because the coursework supplies a broader base rather than a single skill. That difference can affect which postings remain available after an employer applies its education screen.
- Consider the bachelor’s: You lack a degree, and your target postings regularly require one. The longer program makes more sense when you need both the credential and the underlying quantitative foundation.
- Consider a certificate: You already meet the education screen but need a specific technical skill. Review the curriculum and expected project work to confirm that it addresses the gap in the roles you want.
- Consider graduate study: Your target employers ask for deeper research, advanced modeling, or a graduate credential. This route is harder to justify if the postings you are targeting do not ask for that level of preparation.
The Bureau of Labor Statistics notes that some data scientist employers require a master’s or doctoral degree. That does not make graduate school the default; the requirement belongs to particular roles, not to every data science job. Check the actual roles you want, including their stated education level and the type of work they describe, then review data science master’s career paths if the bachelor’s does not meet those requirements. A certificate can fill a narrow skills gap, while graduate study addresses a different level of preparation, so substituting one for the other can leave you with a credential that does not match the jobs you are pursuing.
Compare Programs Against the Jobs You Want
Degree titles reveal a program’s direction, but they do not tell the whole story. A data science title uses the closest wording for a data scientist posting, while analytics programs may align more closely with reporting, business intelligence, and applied analysis roles. Computational programs can signal a stronger blend of computing and quantitative work. Those distinctions matter only if the required coursework supports the work you plan to pursue. An appealing title cannot compensate for missing programming, statistics, or modeling preparation.
| Program Example | What the Degree Title Emphasizes | Roles to Check First |
|---|---|---|
| American Public University System — Bachelor of Science in Data Science | Direct data science focus | Data scientist and data analyst |
| George Mason University — Bachelor of Science in Computational & Data Sciences | Computing and data methods | Data scientist and computational analyst |
| Southern New Hampshire University — Bachelor of Science in Data Analytics | Applied analysis | Data analyst and business intelligence analyst |
| Purdue Global — Bachelor of Science in Analytics | Broad analytics training | Data analyst and operations analyst |
Cost can separate programs that serve similar career goals, particularly when the curriculum overlap is substantial. It lists Southern New Hampshire University’s Bachelor of Science in Data Analytics at $38,550 (In-State/Out-of-State) / $27,150 (Military). That comparison gives you a starting point, but the lower published cost is not useful if the program leaves a key skill gap or requires additional coursework elsewhere. Review the full curriculum before paying more for a different title.
Course requirements deserve more weight than marketing language because they show what the school expects you to learn. Map required classes against the tasks and skills in your target postings, then separate required preparation from optional electives. Pay special attention to:
- Statistics and probability requirements
- Programming and database coursework
- Mathematics prerequisites
- Machine learning and data modeling
- A final project that produces work you can discuss with employers
Also compare transfer rules and the number of courses left after an evaluation of your prior credit. Two programs may advertise similar titles while leaving you with very different completion paths once previous coursework is reviewed. Browse online data science degree options and remove any program whose required curriculum does not support your intended role. If the evaluation changes the course sequence or adds prerequisites, account for that before comparing the programs’ published costs.
Find Your Online Computer Science & IT Degree
Narrow 40 accredited online Computer Science & IT degree programs to find the perfect fit.
Southern New Hampshire University
Bachelor of Science in Environmental Science / Data Analytics In Science
Eastern Oregon University
Bachelor of Arts / Bachelor of Science / Bachelor of Applied Science in Data Analytics
Colorado Christian University
Bachelor of Science in Computer Information Technology / Data Engineering
Frequently Asked Questions
Do I need a bachelor’s degree to become a data scientist?
A bachelor’s degree is the typical entry credential for data science work. Some employers accept several quantitative majors, while research-heavy positions may set a higher education requirement. Read the posting closely: the stated education level tells you whether a related major is likely to clear the initial screening stage.
Can I become a data analyst without a data science degree?
Possibly. Data analyst requirements vary, so check whether employers accept experience, certificates, or degrees in statistics, business, mathematics, computing, or another related field. A certificate can support an application, but its value depends on whether the posting treats it as an acceptable education pathway or simply as additional training.
Is a data science degree required for business intelligence jobs?
Not in every case. A bachelor’s is common for this occupation, but employers may accept analytics, information systems, business, or other quantitative education. That distinction matters if you already hold a related degree: another bachelor’s may add less value than coursework or experience that addresses the specific requirements in the postings you want.
Can a data science certificate replace a bachelor’s degree?
A certificate may build a specific skill, but it does not automatically replace a bachelor’s when the degree is a required qualification. It can make more sense for someone who already has related college education and needs focused technical training; it is a weaker substitute when an employer uses the degree requirement to screen applicants.
Do data scientists need a master’s degree?
Not for every position. Graduate study makes more sense when target postings request advanced research or modeling education. For other roles, the additional time and cost may not address the qualification that is actually keeping you out of consideration, particularly if the posting accepts a bachelor’s and related quantitative backgrounds.
Will employers accept an online data science degree?
Online delivery does not change the degree title. Verify the school’s institutional accreditation, then compare the curriculum and your work samples with each employer’s requirements. The useful comparison is specific: determine whether the program gives you evidence of the statistics, mathematics, programming, or modeling work that the positions you want actually request.
Which bachelor’s majors can lead to data science?
Commonly accepted backgrounds include data science, mathematics, statistics, and computer science. The job posting remains the best guide because employers define related fields differently. One employer may treat a business or information systems degree as relevant, while another may use narrower language, so the listed qualification matters more than the major’s general label.
Is this degree useful for operations research?
It can be, especially when the curriculum provides strong statistics, mathematics, programming, and modeling. Compare those courses with the analyst requirements described above. A program with a broad title but limited quantitative or technical coursework may leave a larger gap than a related degree whose curriculum covers those subjects directly.
Should career changers choose a degree or a certificate?
Choose based on the missing qualification. A degree may help if you cannot pass the education screen; a certificate may be enough if you already have a related bachelor’s and need current technical training. Review several target postings before enrolling, because that comparison shows whether you need a new credential or a narrower set of skills.