data analytics, general
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Types of Degrees data analytics, general Majors Are Earning
Students pursuing data analytics, general may pursue degrees at several award levels.
| Award Level | Graduates |
|---|---|
| Certificate | 2 |
| Associate’s Degree | 8 |
| Bachelor’s Degree | 172 |
| Master’s Degree | 1,491 |
What data analytics, general Majors Need to Know
Coursework for data analytics, general build a specific mix of knowledge, skills, and abilities — derived from O*NET surveys of workers in occupations that data analytics, general graduates commonly enter.
Knowledge Areas
Coursework in data analytics, general emphasizes the following knowledge areas:
- Computers and Electronics — Importance 4.2 / 5; level 5.3 / 7.
- English Language — Importance 3.9 / 5; level 4.5 / 7.
- Mathematics — Importance 3.8 / 5; level 4.7 / 7.
- Administration and Management — Importance 3.3 / 5; level 3.7 / 7.
- Customer and Personal Service — Importance 3.3 / 5; level 3.8 / 7.
Importance is rated 1–5; level is 1–7. Source: ONET Online — weighted across related occupations.*
Skills
Skills built by a data analytics, general program reflects the day-to-day work of related occupations:
- Critical Thinking — Importance 3.9 / 5; level 4.2 / 7.
- Active Listening — Importance 3.9 / 5; level 4.0 / 7.
- Reading Comprehension — Importance 3.8 / 5; level 4.1 / 7.
- Speaking — Importance 3.7 / 5; level 3.9 / 7.
- Complex Problem Solving — Importance 3.7 / 5; level 3.9 / 7.
Abilities
Innate abilities most relevant to data analytics, general careers — again drawn from O*NET surveys of related occupations:
- Written Comprehension — Importance 4.0 / 5; level 4.3 / 7.
- Oral Comprehension — Importance 4.0 / 5; level 4.4 / 7.
- Inductive Reasoning — Importance 3.9 / 5; level 4.2 / 7.
- Oral Expression — Importance 3.9 / 5; level 4.4 / 7.
- Deductive Reasoning — Importance 3.9 / 5; level 4.3 / 7.
Common Job Activities
Day-to-day, data analytics, general graduates report doing:
| Activity | Frequency / Importance |
|---|---|
| Working with Computers | 4.7 / 7 |
| Analyzing Data or Information | 4.5 / 7 |
| Getting Information | 4.5 / 7 |
| Processing Information | 4.5 / 7 |
| Communicating with Supervisors, Peers, or Subordinates | 4.3 / 7 |
| Making Decisions and Solving Problems | 4.3 / 7 |
| Updating and Using Relevant Knowledge | 4.1 / 7 |
| Interpreting the Meaning of Information for Others | 4.1 / 7 |
| Identifying Objects, Actions, and Events | 4.0 / 7 |
| Thinking Creatively | 4.0 / 7 |
Technology Skills Used on the Job
Most frequently-cited tools used by data analytics, general professionals:
| Tool / Software | Category | In-Demand |
|---|---|---|
| Microsoft Excel | Spreadsheet software | ✓ |
| C++ | Object or component oriented development software | ✓ |
| Microsoft Access | Data base user interface and query software | ✓ |
| IBM SPSS Statistics | Analytical or scientific software | ✓ |
| Microsoft Office software | Office suite software | ✓ |
| Structured query language SQL | Data base user interface and query software | ✓ |
| Microsoft SQL Server | Data base user interface and query software | ✓ |
| Microsoft PowerPoint | Presentation software | ✓ |
| SAS | Analytical or scientific software | ✓ |
| Teradata Database | Data base management system software | — |
| C# | Object or component oriented development software | ✓ |
| Oracle Java | Object or component oriented development software | ✓ |
Source: ONET Online technology skills, weighted across related occupations.*
Sample Job Titles
Real job postings for data analytics, general graduates include:
- Data Analyst
- Program Analyst
- Reports Analyst
- Business Process Analyst
- Business Consultant
- Business Analyst
- Business Systems Analyst
- University Professor
- Project Management Professor
- Flight Simulator Teacher
- University Teacher
- Instructor
- Weight Control Lecturer
- Military Science Instructor
- Interdisciplinary Professor
Education Typically Required
Across the occupations open to data analytics, general graduates, the typical level of education actually held by current workers is distributed as:
| Education Level | Share of Workers |
|---|---|
| Bachelor’s degree | 65.0% |
| Master’s degree | 20.8% |
| Associate’s degree (or other 2-year) | 4.8% |
| Post-baccalaureate certificate | 3.6% |
| Some college courses | 3.1% |
| Doctoral degree | 2.1% |
| Post-doctoral training | 0.6% |
Source: ONET Online education / training / experience requirements.*
Who Is Earning a Degree in data analytics, general?
Gender Distribution
This field has a relatively balanced gender distribution: 41.9% women and 58.1% men among data analytics, general graduates.
| Gender | Graduates | Share |
|---|---|---|
| Women | 701 | 41.9% |
| Men | 974 | 58.1% |
Racial-Ethnic Diversity
At the national level, the racial-ethnic distribution of data analytics, general graduates is as follows:
| Race / Ethnicity | Graduates | Share |
|---|---|---|
| White | 638 | 38.1% |
| Asian | 142 | 8.5% |
| Hispanic or Latino | 126 | 7.5% |
| Black or African American | 102 | 6.1% |
| American Indian / Alaska Native | 6 | 0.4% |
| Two or More Races | 41 | 2.4% |
| Race Unknown | 52 | 3.1% |
| International Students | 568 | 33.9% |
See minority definition below.
Online data analytics, general Programs
Fully online options are documented by IPEDS for data analytics, general. The table below shows how many graduates earned at least some of their coursework online (Distance-Ed Available) versus completing the entire program online (Distance-Ed Only).
| Award Level | Distance-Ed Available | Distance-Ed Only |
|---|---|---|
| Associate’s | 2 | 0 |
| Bachelor’s | 7 | 3 |
| Master’s | 15 | 8 |
Distance-Ed Only = degrees completed entirely online; Distance-Ed Available = degrees including at least some online coursework. Source: IPEDS Completions by Distance Education status.
Related Programs
You may also be interested in these closely related fields of study:
| Program | CIP Code |
|---|---|
| Data Analytics | 30.71 |
| Business Analytics | 30.7102 |
| Data Analytics, Other | 30.7199 |
| Data Visualization | 30.7103 |
| Financial Analytics | 30.7104 |
| Computational Science | 30.3001 |
| Data Science, General | 30.7001 |
| Data Science, Other | 30.7099 |
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References
The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students and international students. This number is then divided by the total number of students to obtain the racial-ethnic minorities percentage.
- College Factual
- National Center for Education Statistics (IPEDS)
- O*NET Online
- U.S. Bureau of Labor Statistics
- U.S. Department of Education College Scorecard
More about our data sources and methodologies.