Online Data Analytics Degree Completion Programs

WGU's Data Analytics BS connects programming and mathematics with the work of explaining evidence to decision makers. Data wrangling, statistical analysis, visualization and storytelling all appear in the curriculum. Its assessment model gives a returning student a way to demonstrate knowledge while working through the requirements that remain after transcript review. The final capstone applies those skills to a business problem, bringing technical analysis and communication together.

Before you apply: Tuition is charged by six-month term. Compare a realistic assessment load before estimating cost; the degree uses competency units, and its associate-degree transfer widget is only an unofficial estimate.

UMGC spells out a data science major that moves from statistics and data management into visualization, machine learning and artificial intelligence. Its 39-credit major sits beside general education and electives, giving your transfer evaluation clear categories. The final project produces a report and presentation on an approved problem. For someone returning with business, mathematics or computing credits, this structure makes it easier to identify the specific foundations still needed.

Before you apply: The award is Data Science. Precalculus or a higher mathematics course is a related requirement, and UMGC's major and upper-level residency rules still apply after transfer evaluation.

ASU's Data Science BS makes mathematics a visible part of the comparison. Linear algebra and statistical inference support work with Python, R and MATLAB, while a choice of specialized tracks gives the degree an application area. If you are bringing previous calculus, statistics or science classes, ask how they support the chosen track. The published online course format also lets you examine the weekly commitment alongside this quantitative sequence.

Before you apply: The 120-credit degree uses seven-and-a-half-week classes. Choose a track before relying on a remaining-credit estimate; a mathematics-heavy curriculum can leave prerequisites even when general education transfers.

Colorado State's online Data Science BS pairs its quantitative foundation with a Computer Science concentration. The published sequence includes data structures, software development, optimization, statistical analysis and machine learning. A group capstone supplies the final applied experience. This is a useful comparison if your earlier studies include both programming and mathematics, because those two strands remain visible throughout the degree instead of appearing only as optional electives.

Before you apply: The transfer admission guidance prefers a college GPA of 2.5 or higher and identifies a mathematics requirement. Request a tentative evaluation, then confirm the actual course sequence with an advisor.

Bellevue organizes its Data Science BS around solving problems and assembling a portfolio of analytical work. Students clean and manage data, test hypotheses, build visualizations and explain findings to different audiences. Python and SQL sit alongside exposure to R, Tableau and Power BI. That gives a returning student a concrete output to discuss when comparing programs: the kinds of projects the remaining courses will add to a professional portfolio.

Before you apply: The published degree totals 127 credits. Have Bellevue evaluate your earlier coursework against its current general education, major and elective plan before assuming a standard 120-credit total.

SNHU's data analytics degree combines several widely used tools with practice communicating results. You work with Python, SQL, Tableau, SAS and R while developing a digital portfolio. Its admission process lets you review the official transcript evaluation before making an enrollment decision, which helps connect a list of accepted credits with your remaining analytics work.

Before you apply: Check which mathematics and computing requirements your earlier courses satisfy. The transfer ceiling is 90 credits, and at least 30 credits must be completed through SNHU.

Rowan combines business intelligence and data mining with statistical computing and two analytics capstones. It publishes specific mathematics and GPA requirements for transfer entry, making an early transcript check especially useful. If you're missing calculus or statistics, its pre-business route can help you understand the preparation needed before entering the major.

Before you apply: Plan for both capstone courses and the 30-credit Rowan requirement. Accepted credits still need to satisfy the selected curriculum rather than simply increase your overall total.

Franklin's Applied Data Science focus emphasizes the systems behind analytics: programming, data management, cloud computing and data warehousing. You also study visualization and machine learning, then bring the work together in an analytics capstone. This is useful to compare if previous IT credits give you technical preparation and you want to develop more analytical depth.

Before you apply: This is an Analytics BS with an Applied Data Science focus. Use that exact curriculum during evaluation, and reserve the required Franklin coursework in your completion plan.

Lamar builds its Data Analytics BAAS emphasis around earlier applied study. The curriculum brings database programming, business intelligence and data storytelling into a broader completion degree. That makes it worth comparing if you hold an AAS and want to add analytical coursework without treating your technical education as unrelated to the bachelor's.

Before you apply: Your diploma names the BAAS without the emphasis. Ask how the AAS block, general education and 27-hour emphasis fit together in your individual degree plan.

Texas State's Data Analytics BAAS connects practical analysis and visualization with workplace decision-making. Its degree structure includes occupational education coursework and embedded certificate credit, so the evaluation should account for more than traditional lecture courses. You can use its detailed plan to compare how previous applied study fits the major and broader bachelor's requirements.

Before you apply: Texas State distinguishes its advertised transfer ceiling from a 72-hour community-college limit. Discuss additional hours with an advisor before assuming all accepted credits satisfy the degree.

UNT's BAAS gives students with technical or applied college credit a route to complete a bachelor's with a data analytics concentration. The online program includes a 12-credit analytics focus within a broader applied degree. That structure is useful if preserving earlier coursework matters as much as adding a focused set of analytical studies.

Before you apply: Compare the concentration's size with your desired technical depth. This is a broader applied bachelor's, and UNT must approve how your prior credits fill its requirements.

Ball State's online data analytics option concentrates on environmental systems, giving the analytical work a defined application. You combine statistics, computing and mathematics with visualization and applied projects. This is a useful comparison if earlier courses include geography, environmental science or computing and you want to connect those interests while finishing your degree.

Before you apply: The published 50–58 major-credit figure describes the major, not your personal remaining degree. Have general education and transferred coursework evaluated alongside the concentration requirements.

Maryville's Data Science BS pairs statistical theory with programming and practical projects. You study Python, SQL and R along with predictive modeling and machine learning. A recommended business minor gives you an additional option to discuss if earlier business credits form part of your record. The exact award here is Data Science.

Before you apply: The business minor is optional. Ask how adding it affects remaining coursework, and distinguish the 46-credit major from the full 120-credit bachelor's requirement.

Old Dominion's Data Science BS offers a defined completion route and a final project connected to a community or industry data challenge. Mathematics, statistics and computing support the analytical work, while specializations let you emphasize machine learning or visualization. Your transfer review can show how earlier courses prepare you for the chosen direction.

Before you apply: ODU requires at least 30 credits through the university. Confirm your selected specialization and the capstone sequence before estimating how quickly the remaining credits can be completed.

SIUE places data analytics inside its Business Administration BS. Statistical analysis and database retrieval support decisions in a broader business curriculum, making this a useful continuation for previous business students. Its accelerated online route expects substantial general education preparation, so the evaluation should establish both admission readiness and the courses still required outside the major.

Before you apply: Most general education courses are not offered in the accelerated online format. Progression into the business major also requires specified prerequisite grades and a 2.25 SIUE GPA.

Kansas State combines a broad business foundation with a Data Analytics concentration. Finance, accounting, management and marketing remain part of the bachelor's, so earlier business credits are particularly relevant to the evaluation. Its transfer equivalency tools let you examine individual courses or the program curriculum before discussing the remaining plan with an advisor.

Before you apply: This is a business degree with an analytics concentration. Compare its mix of business and technical coursework with the kind of analytical work you want to study.

Northwest Missouri State's MIS degree connects data analytics with the information systems used in business. Programming and systems analysis provide a technical base, while the analytics emphasis adds focused study. Its published transfer categories distinguish applicants with substantial college credit from those returning with only a few courses, helping you identify the correct admission route.

Before you apply: The analytics emphasis is one part of a broader MIS curriculum. Review programming prerequisites and business requirements separately so accepted electives do not obscure the technical courses still needed.

Colorado Technical uses its Data Analytics concentration to examine business opportunities and risks. The curriculum emphasizes classifying information, communicating findings and applying analysis within organizations. Its business core and capstone give that analytical study a management context. This is worth comparing if you want a business-focused finish after earlier general education or business courses.

Before you apply: The university explicitly distinguishes this degree from an IT or computer science program. Confirm the credit unit and individual transfer evaluation before comparing its 180-credit plan with other schools.

MSU Denver's Business Intelligence degree begins with the business questions data needs to answer. You study databases and data warehouses, then use analytical methods and visualization to communicate findings. Its transfer tools and advising can help you see whether earlier business and information-systems credits support the major or fill other bachelor's requirements.

Before you apply: Use the Business Intelligence curriculum when reviewing equivalencies. The degree's mix of business knowledge and technical analytics should match the direction you want from your remaining study.

Tennessee pairs applied data analytics with user experience in its Information Sciences BS. Database design and SQL connect with usability, accessibility, privacy and the human side of information. Its entry route starts with one transferable college credit, making it relevant even if your previous college work stopped well before an associate degree.

Before you apply: This degree balances analytics with user experience. Ask how your prior courses fit that combination and confirm the additional high school documentation required when transferring fewer than 24 credits.