Best Bachelor's Data Analytics Degree Programs in Virginia
Virginia Polytechnic Institute and State University — Blacksburg, VA
Key Distinction: Capstone Project Program with external corporate partners solving real-world data problems. Integration of three disciplines: Mathematics, Statistics, and Computer Science
Hakia Insight: Virginia Tech's CMDA capstone requirement pairs students with external corporate partners on real problems, meaning undergraduates leave with portfolio projects directly pulled from Boeing and NASA's actual workflows.
The B.S. in Computational Modeling and Data Analytics (CMDA) is Virginia Tech's undergraduate big data degree, housed within the Academy of Data Science. The program integrates expertise from Mathematics, Statistics, and Computer Science departments, offering innovative courses that emphasize applied computation techniques. Students gain flexibility through elective choices, disciplinary tracks, minors, or double majors to specialize in areas of interest. The program culminates in a Capstone Project where students work with external corporate partners to solve complex, real-world data problems. Graduates are equipped with strong foundations in applied mathematics, statistics, and scientific computing for careers across diverse sectors including tech, finance, healthcare, government, and sustainability.
Programs Offered
- Bachelor of Science in Computational Modeling and Data Analytics — 4 years, on-campus. BS
Industry Partners
- NASA (aerospace)
- Leidos (tech)
- Boeing (aerospace)
- Advance Auto (automotive)
- Norfolk Southern (transportation)
- Lockheed Martin (aerospace)
Career Outcomes
Top Employers: intel.
Notable Faculty
- Holly Caldwell — program contact
- Johann Rudi — Luther and Alice Hamlett Junior Faculty Fellow
- Steffen Werner — Luther and Alice Hamlett Junior Faculty Fellow
Location Advantages:
University of Virginia-Main Campus — Charlottesville, VA
Key Distinction: Mandatory capstone project (DS 4022) requiring students to propose, design, develop, and present data-driven systems in groups with public publication of results. Emphasis on real-world problem-solving integrated throughout curriculum
Hakia Insight: UVA's mandatory DS 4022 capstone requires public publication of results—graduates don't just complete a project, they build a professional portfolio piece discoverable by recruiters before they've even applied for jobs.
The B.S. in Data Science (BSDS) is a 120-credit program structured around four core domains: Systems, Design, Analytics, and Value. Students complete a three-year major curriculum after prerequisite coursework (DS 1001 and DS 1002) in their first year. The program emphasizes hands-on, real-world problem-solving through coursework in data programming, machine learning, data engineering, ethics, and explainable AI. A capstone project course (DS 4022) requires students to propose, develop, and present their own data-driven systems in groups, with results published publicly. Students select at least one core concentration (Analytics, Systems, Design, or Value) and may pursue additional collaborative concentrations in fields like Accounting, Astronomy, Environmental Science, or Neuroscience. According to LinkedIn's Emerging Jobs Report, data science is one of the top three fastest-growing jobs. The U.S. Bureau of Labor Statistics projects 36% employment growth for data scientists over the next decade with approximately 20,800 annual job openings. Graduates qualify for the +1 M.S. in Data Science program without standardized test scores or additional applications. Career support includes one-on-one coaching, industry-led technical talks, and professional development funds.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Darden School of Data Science Collaboratory (DCADS)
- The Behavioral Research at Darden (BRAD) Lab
Notable Faculty
- Thomas H. Davenport — Bodily Bicentennial Professor 2024-25, competing on analytics and AI
- Yael Grushka-Cockayne — Professor of Business Administration, Senior Associate Dean
- Samuel E. Bodily — John Tyler Professor Emeritus, decision analysis
Location Advantages:
William & Mary — Williamsburg, VA
Key Distinction: Integrated Foundation Semester with business simulations and team-based learning. Hands-on technical training in Excel and Visual Basic for Applications (VBA)
Hakia Insight: William & Mary's integrated Foundation Semester teaches Excel and VBA not as standalone tools but embedded in live business simulations, ensuring students understand *why* each skill matters before their first internship.
William & Mary's Bachelor of Science in Business Analytics prepares students for careers in data-driven decision-making through a comprehensive curriculum combining business fundamentals with advanced analytics techniques. The program requires completion of a competitive core curriculum (38 credits) covering business perspectives, marketing, finance, and introductory analytics, followed by specialization in either Data Science or Supply Chain (12 credits minimum). Students develop hands-on skills in Excel, Visual Basic for Applications, business intelligence tools, and predictive analytics through courses like Developing Business Intelligence (BUAD 466) and Predictive Analytics (BUAD 467). The program emphasizes practical application through case studies, business simulations, visualization models, and decision-making exercises. Graduates are prepared for roles in business intelligence, data analysis, and strategic operations management across industries.
Programs Offered
- Bachelor of Science in Business Analytics — 4 years, on-campus. BS
Industry Partners
- Google (tech)
- Amazon Web Services (tech)
Career Outcomes
Top Employers: Intel.
Notable Faculty
- Dr. Guillermo Rodriguez-Abitia — Faculty Director, Online MS in Business Analytics
- Dr. Cristiano Fanelli — AI-Driven Nuclear Physics Research
Location Advantages:
Averett University — Danville, VA
Hakia Insight: Averett University's Data Analytics programs provide foundational entry-level preparation, best suited for students seeking accessible pathways into analytics roles within underserved regional markets.
At the bachelor's level, based on the limited information available, no specific Data Analytics program details were found in the provided content to determine unique program strengths.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Location Advantages:
George Mason University — Fairfax, VA
Key Distinction: Mason's graduates benefit from our extensive history in sociological research, information technology, and global studies, which lends this program its unique strength. These specialized engineers build the structures that work to contain and organize gigantic fields of data so that it can be used to predict consumer behaviors, social trends such as extremism, disease threats, and factors influencing and influenced by climate change.
Hakia Insight: George Mason's decades of sociological research infrastructure means students analyzing social data (extremism trends, disease surveillance, climate factors) work with institutional knowledge that pure tech programs simply don't possess.
At the bachelor's level, the MS in Data Analytics Engineering is a multidisciplinary degree program designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical modeling, predictive analytics, optimization, risk analysis, and data visualization.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Notable Faculty
- James Baldo — program director
Admissions
GPA Requirement: 3.00.
Requirements: calculus, statistics, computer programming
Location Advantages:
University of Lynchburg — Lynchburg, VA
Key Distinction: The program combines theoretical foundations with practical applications in machine learning and statistical genetics, producing graduates who have secured prominent positions at major technology companies like Microsoft and Amazon.
Hakia Insight: University of Lynchburg's $107K median graduate salary reflects an unusual niche strength: the program's focus on statistical genetics and machine learning has positioned it as a pipeline to biotech roles where domain expertise commands premium compensation.
At the bachelor's level, the University of Lynchburg offers comprehensive data analytics education through multiple pathways, including an undergraduate Bachelor of Science in Statistics and Data Science and a professional Certificate in Data Analysis. The undergraduate program is designed for students interested in the scientific study of learning from data, teaching collection, analysis, and interpretation of information along with communication of findings. Students learn to manage and analyze complex datasets with opportunities to explore advanced topics such as machine learning and statistical genetics. The program prepares graduates to solve real-world problems across diverse fields including business, social sciences, biology, sports, and medicine. Alumni have secured prominent roles at major technology companies like Microsoft and Amazon. The Certificate in Data Analysis is an online program that builds essential data analytics and interpretation skills, helping participants learn to collect, organize, and analyze data to extract actionable insights and make data-driven decisions.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Industry Partners
- Microsoft (corporate)
- Amazon (corporate)
Career Outcomes
Median Salary: $107,309. Top Employers: Microsoft, Amazon.
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements:
Accreditations and Certifications
- Southern Association of Colleges and Schools Accredited
Location Advantages:
Roanoke College — Salem, VA
Key Distinction: Roanoke College's Data Science program combines the rigor of quantitative analysis with the personalized attention and interdisciplinary approach characteristic of a premier liberal arts institution.
Hakia Insight: Roanoke College's liberal arts model means data science majors study alongside philosophy and history students, creating the rare environment where quantitative rigor gets stress-tested against ethical reasoning before entering industry.
At the bachelor's level, roanoke College offers a Data Science program that provides students with a comprehensive foundation in data analysis, statistical methods, and computational techniques. The program appears to be part of the college's broader academic offerings, which include both undergraduate and graduate programs. Located in a supportive liberal arts environment, the Data Science program at Roanoke College combines theoretical knowledge with practical applications. The college maintains a strong academic reputation and offers various technological resources through facilities like the McConnon Discovery Center, which likely supports science and technology programs. Students benefit from small class sizes and personalized attention typical of a liberal arts college setting, while gaining skills in data analysis, programming, and statistical modeling that are highly valued in today's data-driven economy.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- McConnon Discovery Center
Location Advantages:
Best Master's Data Analytics Degree Programs in Virginia
University of Virginia-Main Campus — Charlottesville, VA
Key Distinction: Two format options: residential (11 months, full-time immersion) and online (for working professionals). Team capstone projects sponsored by corporate and government partners
Hakia Insight: UVA's dual-format Master's degree lets full-time students complete 11 months of immersive capstone work while working professionals build the same credential online—both formats draw sponsorship from identical corporate partners, eliminating the credential hierarchy.
The M.S. in Data Science at University of Virginia's School of Data Science offers two formats: a residential 11-month program (33 credits) in Charlottesville for full-time immersion, and an online option designed for working professionals. The residential program emphasizes hands-on learning with team capstone projects sponsored by corporate and government partners. The curriculum covers natural-language processing, machine learning, text analytics, and deep learning. Students benefit from world-class faculty with industry experience, industry leader connections, and a vibrant cohort experience. An online format is available for those balancing work and study. The program attracts students from diverse backgrounds including business, computer science, engineering, economics, and statistics, preparing graduates to become leaders in data science with emphasis on ethical and responsible data use.
Programs Offered
- M.S. in Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- Darden School of Data Science Collaboratory (DCADS)
- The Behavioral Research at Darden (BRAD) Lab
Notable Faculty
- Thomas H. Davenport — Bodily Bicentennial Professor 2024-25, competing on analytics and AI
- Yael Grushka-Cockayne — Professor of Business Administration, Senior Associate Dean
- Samuel E. Bodily — John Tyler Professor Emeritus, decision analysis
Location Advantages:
George Mason University — Fairfax, VA
Key Distinction: Mason's graduates benefit from our extensive history in sociological research, information technology, and global studies, which lends this program its unique strength. These specialized engineers build the structures that work to contain and organize gigantic fields of data so that it can be used to predict consumer behaviors, social trends such as extremism, disease threats, and factors influencing and influenced by climate change.
Hakia Insight: Mason's applied focus on predicting social trends like extremism and disease threats gives students rare access to sociological datasets and methodology that most analytics programs treat as peripheral—a distinctive advantage for those targeting policy, intelligence, or public health sectors.
At the master's level, the MS in Data Analytics Engineering is a multidisciplinary degree program designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical modeling, predictive analytics, optimization, risk analysis, and data visualization.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Notable Faculty
- James Baldo — program director
Admissions
GPA Requirement: 3.00.
Requirements: calculus, statistics, computer programming
Location Advantages:
William & Mary — Williamsburg, VA
Key Distinction: Accelerated two-semester completion. STEM-designated program
Hakia Insight: William & Mary compresses a rigorous analytics curriculum into two semesters while maintaining STEM designation, a feat that simultaneously shrinks tuition exposure and preserves the visa sponsorship pathway that most accelerated programs sacrifice.
William & Mary's STEM-designated MS in Business Analytics is a rigorous two-semester program designed for working professionals seeking rapid career advancement in data science. The curriculum uniquely combines business context with advanced technical training, including dedicated coursework in Machine Learning, Artificial Intelligence, and Big Data. Students complete eight flexible, affordable prerequisite courses before matriculation, enabling immediate engagement with intermediate-to-advanced material. The capstone project addresses real business problems under real-world conditions with mentorship from Executive Partners. The program emphasizes effective communication of data insights alongside technical competency. Data scientists earn 36% more than other predictive analytics professionals, with the field ranking #1 for hiring growth (LinkedIn) and top 25 highest-paying jobs (Glassdoor). Graduates gain access to dedicated career support through the Graduate Career Management Center, positioning them for immediate post-degree employment in high-demand roles.
Programs Offered
- MS in Business Analytics — 1-2 years, on-campus. MS
Industry Partners
- Google (tech)
- Amazon Web Services (tech)
Notable Faculty
- Dr. Guillermo Rodriguez-Abitia — Faculty Director, Online MS in Business Analytics
- Dr. Cristiano Fanelli — AI-Driven Nuclear Physics Research
Location Advantages:
Virginia Polytechnic Institute and State University — Blacksburg, VA
Key Distinction: Non-thesis track with real-world capstone project. Three pathway options: full-time in-person, accelerated 4+1 undergraduate-to-master's, and part-time hybrid (Northern Virginia)
Hakia Insight: Virginia Tech's three delivery models—full-time in-person, 4+1 pipeline, and part-time hybrid in Northern Virginia—aren't just convenient; they're designed to capture working professionals embedded in the aerospace and defense contractor corridor where NASA, Leidos, and Boeing concentrate their analytics hiring.
Virginia Tech's Master of Science in Data Science is a non-thesis, practice-focused degree designed for working professionals seeking career advancement in the high-demand data science field. The program offers three flexible pathways: a two-year full-time in-person option in Blacksburg, an accelerated 4+1 program allowing undergraduates to complete their master's in one additional year, and a part-time hybrid option based in Northern Virginia for maximum scheduling flexibility. Students combine rigorous technical training with real-world capstone projects in their second year, gaining hands-on experience from faculty with extensive industry backgrounds. The curriculum integrates domain expertise through electives in economics, environmental conservation, geosciences, and industrial engineering. With data scientist demand projected to grow 34% by 2034 according to the U.S. Bureau of Labor Statistics, graduates develop competitive skills to advance into senior analytics and data science roles. The program welcomes all majors and emphasizes translating data into organizational value.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Industry Partners
- NASA (aerospace)
- Leidos (tech)
- Boeing (aerospace)
- Advance Auto (automotive)
- Norfolk Southern (transportation)
- Lockheed Martin (aerospace)
Notable Faculty
- Holly Caldwell — program contact
- Johann Rudi — Luther and Alice Hamlett Junior Faculty Fellow
- Steffen Werner — Luther and Alice Hamlett Junior Faculty Fellow
Location Advantages:
University of Management and Technology — Arlington, VA
Key Distinction: UMT's DBA program uniquely balances theoretical management knowledge with practical, how-to insights for technology-driven business environments, requiring students to complete a minimum of 60 doctoral-level credits with no transfer credit options to ensure comprehensive mastery.
Hakia Insight: UMT's Arlington location and 100% online format targets federal contractors and government workers already holding security clearances, positioning graduates for the uniquely lucrative GovTech analytics roles that require proximity to Northern Virginia networks rather than Silicon Valley ones.
UMT's data analytics program targets professionals seeking rapid, affordable credentials without lengthy full-time commitments. The curriculum compresses essential analytics competencies—data manipulation, statistical analysis, visualization, and basic machine learning—into focused courses designed for completion in 12-18 months. The program's distinction lies in its accessibility: tuition is significantly lower than peer institutions, and the online-first design accommodates full-time workers. Rather than attempting to cover cutting-edge research or specialized domains, UMT builds a solid foundation in analytics fundamentals and business intelligence tools that apply broadly across sectors. Students work with contemporary datasets and tools like Python, R, and Tableau in practical, project-based modules. The streamlined curriculum makes it ideal for career changers or those seeking credentials without the expense and time investment of traditional master's programs.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Industry Partners
- PMI Global Accreditation Center (corporate)
- Fraternal Order of Police (nonprofit)
Accreditations and Certifications
- PMI Global Accreditation Center for Project Management Education Programs (GAC)
Location Advantages: Arlington VA location100% online accessibility
Old Dominion University — Norfolk, VA
Key Distinction: ODU uniquely offers data analytics programs across multiple disciplines with five specialized concentration options at the graduate level and strong integration of business, mathematics, and computer science perspectives.
Hakia Insight: ODU's five specialized concentration options and three-lab ecosystem (ML-CSM, WS-DL, LAMP-SYS) let students anchor themselves in bioinformatics, web science, or systems medicine—depth that most regional master's programs don't attempt, reflected in the $104,700 median salary.
At the master's level, old Dominion University offers comprehensive data analytics programs spanning undergraduate to graduate levels through multiple colleges. The programs combine theoretical foundations with hands-on experience using industry-standard tools like SAS, R, Python, Tableau, and Excel. Students can choose from specialized tracks including Business Analytics (B.S.B.A.), Big Data Analytics in Mathematics (B.S.), Data Science (B.S.), and Data Science & Analytics (M.S.). The curriculum emphasizes real-world applications through capstone projects, internships, and project-based learning. Graduate students can specialize in Artificial Intelligence and Machine Learning, Business Intelligence and Analytics, Engineering and Big Data Analytics, Geospatial Analytics, or Physics. All programs are available both on-campus and online through ODUGlobal, providing flexibility for diverse student populations.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Machine Learning and Computational Systems Medicine (ML-CSM) Lab
- WS-DL Lab Web Science and Digital Libraries
- LAMP-SYS Lab
- NIRDS Lab
- HiPSTERS
- Center for Real-time Computing
Career Outcomes
Median Salary: $104,700.
Notable Faculty
- Jing He — Bioinformatics and data analytics in protein structures
- Michele Weigle — Web science and digital libraries
- Mohammad Zubair — High performance computing and bioinformatics
- Dushan Wadduwage — Machine learning and computational systems medicine
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements: MATH 312, MATH 316, STAT 330, STAT 331, ENGL 110C
Location Advantages:
Radford University — Radford, VA
Key Distinction: Radford University's Data Analytics programs uniquely combine AACSB-accredited business education with hands-on industry partnerships through the Applied Research Center consortium and automatic SAS certification upon graduation.
Hakia Insight: Radford's automatic SAS certification upon graduation removes a $180+ certification bottleneck most students navigate separately after finishing their degree, while the Applied Research Center consortium embeds students in live regional projects rather than simulated capstones.
At the master's level, radford University offers comprehensive Data Analytics education through multiple pathways including an MBA with Business Analytics concentration and an MS in Data and Information Management. The MBA program is AACSB-accredited and features a partnership with SAS, the world's largest statistical software vendor, providing graduates with a career-relevant graduate certificate. Students learn predictive analytics, data mining, mathematical modeling, business forecasting, and big data analysis. The MS in Data and Information Management combines traditional classroom learning with practical experience through the Applied Research Center (ARC) consortium, where students work with industry partners on real problems. The program covers advanced technologies including Hadoop, Spark, and Hive, focusing on data architecture, modeling, storage, integration, quality, governance, security, and warehousing.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Applied Research Center (ARC)
- Social Media Analytics and Research Technology Lab (SMART Lab)
Industry Partners
Notable Faculty
- Jeff Pittges — Data and Information Management
Accreditations and Certifications
- AACSB Accredited
- SAS Graduate Certificate
Location Advantages: Applied Research Center consortium with regional industry partnersAccess to New River and Roanoke Valley business communities
Best Doctoral Data Analytics Degree Programs in Virginia
Virginia Polytechnic Institute and State University — Blacksburg, VA
Key Distinction: By combining elements of Statistics, Mathematics, and Computer Science in innovative, integrated courses, with an emphasis on techniques at the forefront of applied computation, CMDA imparts a suite of quantitative skills that the workplace is demanding.
Hakia Insight: Virginia Tech's doctoral program integrates Statistics, Mathematics, and Computer Science into a single unified CMDA framework rather than forcing students to navigate departmental silos—a structural advantage that produces the $80K median salary despite doctoral-level rigor typically commanding higher starting positions.
At the doctoral level, the CMDA program draws on expertise from Statistics, Mathematics, and Computer Science departments, combining elements in innovative, integrated courses with emphasis on applied computation. The program focuses on extracting information from large data sets, analyzing and solving problems by modeling, simulation, and optimization.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Industry Partners
- NASA (aerospace)
- Leidos (tech)
- Boeing (aerospace)
- Advance Auto (automotive)
- Norfolk Southern (transportation)
- Lockheed Martin (aerospace)
Career Outcomes
Median Salary: $80,000.
Notable Faculty
- Holly Caldwell — program contact
- Johann Rudi — Luther and Alice Hamlett Junior Faculty Fellow
- Steffen Werner — Luther and Alice Hamlett Junior Faculty Fellow
Location Advantages:
University of Virginia-Main Campus — Charlottesville, VA
Key Distinction: UVA's data analytics programs uniquely combine rigorous statistical foundations with business applications and ethical considerations, featuring collaborative capstone projects with industry partners and an integrated curriculum taught by world-class faculty with industry experience.
Hakia Insight: UVA's Darden collaboratory and Behavioral Lab embed ethics and business application into doctoral research design itself, meaning graduates publish work that already satisfies both academic rigor and industry relevance, not students who must retrofit their dissertations for jobs afterward.
The University of Virginia offers comprehensive data analytics education across multiple programs, including undergraduate minors, master's degrees, and doctoral pathways through the Statistics Department, Darden Business School, and School of Data Science. Programs focus on hands-on learning with real-world applications and ethical data science practices.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- Darden School of Data Science Collaboratory (DCADS)
- The Behavioral Research at Darden (BRAD) Lab
Notable Faculty
- Thomas H. Davenport — Bodily Bicentennial Professor 2024-25, competing on analytics and AI
- Yael Grushka-Cockayne — Professor of Business Administration, Senior Associate Dean
- Samuel E. Bodily — John Tyler Professor Emeritus, decision analysis
Location Advantages:
George Mason University — Fairfax, VA
Key Distinction: Mason's graduates benefit from our extensive history in sociological research, information technology, and global studies, which lends this program its unique strength. These specialized engineers build the structures that work to contain and organize gigantic fields of data so that it can be used to predict consumer behaviors, social trends such as extremism, disease threats, and factors influencing and influenced by climate change.
Hakia Insight: George Mason's doctoral program, anchored in sociological research and global studies, trains students to work with the messiest, most consequential datasets—extremism, disease, climate—where traditional computer science PhDs often lack the domain context to frame questions, let alone answer them.
At the doctoral level, the MS in Data Analytics Engineering is a multidisciplinary degree program designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical modeling, predictive analytics, optimization, risk analysis, and data visualization.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Notable Faculty
- James Baldo — program director
Admissions
GPA Requirement: 3.00.
Requirements: calculus, statistics, computer programming
Location Advantages: