Data Analytics
Prepare to take on big data challenges!
Data Analytics is growing rapidly across a wide range of fields including healthcare, finance, marketing, computer science, biomedical research and more. You'll quickly become valued for your ability to process large amounts of data and make insights that drive strategic decisions.
Major
Double Major
Learn More
Minor
All Data Analytics majors must take:
- BUSI 106 Contemporary Business
- CSCI 156 Computer Science I
- CSCI 157 Computer Science II
- CSCI 205 Database Systems
- DATA 105 Analytics Perspectives
- DATA 201 Analytics II
- DATA 202 Data Visualization & Analysis
- DATA 203 Current Topics in Data Analytics
- DATA 401 Analytics Capstone Project
- DATA 402 Analytics Seminar
- ECON 310 Applied Econometrics & Predictive Analytics
- ENGR 1XX Engineering Laboratory
- MATH 231 Introduction to Data Science
You must take an additional 16 hours of Analytics electives.
You also need the following Arts & Sciences courses:
- BUSI 113 Descriptive Analytics and Statistics
- BUSI 213 Research Methods for Business
- MATH 151 Calculus I
- ENGL 101 Writing I
- ENGL 102 Writing II
- MIS 101 Analytics I
- UNIV 101 Common Ground
Social Sciences (1 minimum)
Humanities (1 minimum)
- Writing requirements are specified in the Catalog under General Education Requirements for Liberal Arts and Sciences, Basic Competencies, Written Communication.
The Bachelor of Science degree is composed of analytics core courses plus analytics electives from a broad array of courses across many disciplines. You will take required and elective courses in the liberal arts to reach a minimum of 60 credits of liberal arts courses (as required for all Bachelor of Science degrees). With the flexibility built into the Data Analytics degree, you can choose to add a minor (or two) or even double-major. You are also required to:
- Maintain at least a 2.0 grade point average overall
- Complete one Personal Fitness course (credits not included in the 120 credits required for graduation) and one Wellness Course.
- Satisfy the University's Global Perspectives requirement
After your second year is complete, we urge all Data Analytics students to gain the valuable, real-world experience only an internship can offer.
- Most internships occur during the summer months between semesters
- Each credit hour you'll earn equals 45 hours of work; you'll figure out the actual schedule with your site supervisor
- Internships may or may not be paid, depending on your host organization
- Grades are assessed based on complete, timely submission of all required internship documentation, with the final learning report weighted most heavily
Data Analytics as a double major is available to any AU student. To earn a Data Analytics double major, take courses listed below, totalling 31 to 36 credits depending on Statistics and Research Methods courses selected.
Learn more about Double Majors
- CSCI 156 Computer Science I
- CSCI 205 Database Systems
- DATA 201 Analytics II
- DATA 202 Data Visualization & Analysis
- DATA 203 Current Topics in Analytics
- DATA 401 Analytics Capstone Project (Field Experience)
- DATA 402 Analytics Seminar
- MIS 101 Analytics I
Level I Statistics - Select 1 from:
- BIOL 226, BUSI 113, ENGR 305, ENVS 205, POLS/SOCI 230, PSYC 2203
Level II Statistics - Select 1 from:
- ECON 310, MATH 231, MATH 381, PSYC 4113
Research Methods - Select 1 from:
- BIOL 226, BUSI 213, ENVS 205, POLS/SOCI 431, PSYC 220, PSYC 4113
The minor in Data Analytics includes 28 credits (29 if you substitute a 4-credit statistics course):
- BUSI 113 Descriptive Analytics & Statistics (or a 4-credit statistics course from the College of Liberal Arts & Sciences)
- MATH 151 Calculus I
- CSCI 156 Computer Science I
- DATA 201 Analytics II
- DATA 202 Data Visualization & Analysis
- MIS 101 Analytics I
Plus 8 credits from the following:
- ART 232 Introduction to Video, Sound & New Media
- ART 285 - Digital Media
- ART 332 - Advanced Video Arts
- ART 335 - Interactive Media Studio
- ART 336 - Generative & Interactive Animation
- ART 340 - Design for Web & Mobile Devices
- BIOL 358 - Biogeography
- BIOL 405 - Bioinformatics
- CSCI 200+ - Computer Science Course 200-level or higher
- ECON 310 - Applied Econometrics & Predictive Analytics
- ENVS 212 - Introduction to Remote Sensing
- ENVS 220 - Introduction to GIS
- ENVS 301 - Contemporary Topics in Geospatial Technology
- ENVS 302 - Mobile & Web Based GIS
- ENVS 320 - Advanced GIS Applications
- ENVS/GEOL 206 - Fieldcraft - Outdoor Proficiency
- ENVS/GEOL 450 - Independent Study
- MATH 231 - Introduction to Data Science
You can greatly enhance your career opportunities by earning a Master of Business Administration (MBA) degree in one year after completing your undergraduate degree.
This streamlined and competitive opportunity allows our undergraduate students to earn both their undergraduate degree and Master of Business Administration in an accelerated format (4+1).
Nearly 98% of our students receive some form of financial aid, mostly in the form of scholarships and grants that don't have to be paid back. We urge you to apply for financial aid, even if you're unsure if you qualify. We're committed to making your AU education affordable.
Success Rate
98% of our graduates are employed full-time or entered graduate school after six months of graduation. You'll be uniquely prepared for the workforce because of our interdisciplinary education.
What Will I Do?
- Accountant
- Financial Advisor
- Supply Chain Advocate
- Data Architects
- Big Data Analyst
- Data Change Agent
- Applied Business Analyst
- Business Intelligence Analyst
- Data Scientist
Where Will I Work?
- Healthcare Organizations
- Financial Organizations
- Consulting companies
- Manufacturing
- Professional Sports
- Energy
- Technology Corporations
- Government
- Retail
- Mobile Services
- Telecommunications
- Information Technology
- Marketing
- Human Resources