Applied Analytics, Master of Science
Admission
Admission to this program is selective. This program enrolls new students in the fall and spring terms. To be considered for admission candidates should possess a bachelors degree and the following prerequisites or the equivalent of:
- statistics
- information technology
A candidate who has not completed these prerequisites may be accepted into the program but acceptance will be contingent upon completing the courses within the first year.
Application
Please see the Graduate Admission section of this catalog for a complete listing of materials required to complete a graduate application.
The M.S. in Applied Analytics offers 4 concentrations. The required courses of the 4 concentrations and the suggested enrollment sequences of each are outlined in the tables below. The exact enrollment sequence should be planned between the student and the advisor as part of degree planning.
Program Curriculum
All concentrations of this degree follow the curriculum outlined below. Regardless of the concentration chosen, all students will be required to take the two opening courses (6 credits), the two applied mathematics courses (6 credits), the two functional courses (6 credits), 3 courses in their area of concentration (9 credits), and the 3-credit practicum.
| Code | Title | Credits |
|---|---|---|
| OPENING Courses | ||
| INFT 6015 | Database Design and Management | 3 |
| APAN 6015 | Data Models and Structured Analysis | 3 |
| APPLIED MATHEMATICS Courses | ||
| APAN 6010 | Computer Aided Multivariate Analysis | 3 |
| APAN 6020 | Data Mining | 3 |
| FUNCTIONAL Courses | ||
| MGMT 6095 | E-Commerce & E-Business Technologies | 3 |
| MGMT 6185 | Quantitative Methods for Decision Making | 3 |
| CONCENTRATION Courses (3) | 9 | |
| PRACTICUM Course | ||
| APAN 7010 | Capstone Practicum | 3 |
| Total Credits | 30 | |
Suggested Enrollment Sequences
The typical enrollment sequence for a part-time schedule is as follows for fall term start. Students and advisors adjust for lower or greater enrollment based on availability and the term in which they begin their studies. The summer term offers both 15-week and 8-week course lengths.
Marketing Concentration Sequence
| First Year | ||
|---|---|---|
| Fall | Credits | |
| INFT 6015 | Database Design and Management | 3 |
| APAN 6015 | Data Models and Structured Analysis | 3 |
| Credits | 6 | |
| Spring | ||
| MGMT 6155 | Strategies for Marketing Research | 3 |
| MGMT 7005 | Global Marketing Strategies | 3 |
| Credits | 6 | |
| Summer | ||
| MGMT 6095 | E-Commerce & E-Business Technologies | 3 |
| MGMT 6185 | Quantitative Methods for Decision Making | 3 |
| Credits | 6 | |
| Second Year | ||
| Fall | ||
| APAN 6010 | Computer Aided Multivariate Analysis | 3 |
| APAN 6020 | Data Mining | 3 |
| Credits | 6 | |
| Spring | ||
| MGMT 7030 | Marketing Analytics & Brand Management | 3 |
| APAN 7010 | Capstone Practicum | 3 |
| Credits | 6 | |
| Total Credits | 30 | |
Health Care Concentration Sequence
| First Year | ||
|---|---|---|
| Fall | Credits | |
| INFT 6015 | Database Design and Management | 3 |
| APAN 6015 | Data Models and Structured Analysis | 3 |
| Credits | 6 | |
| Spring | ||
| PPOL 6020 | Research Methods | 3 |
| HCLM 6075 | Managing Healthcare Systems | 3 |
| Credits | 6 | |
| Summer | ||
| MGMT 6095 | E-Commerce & E-Business Technologies | 3 |
| MGMT 6185 | Quantitative Methods for Decision Making | 3 |
| Credits | 6 | |
| Second Year | ||
| Fall | ||
| APAN 6010 | Computer Aided Multivariate Analysis | 3 |
| APAN 6020 | Data Mining | 3 |
| Credits | 6 | |
| Spring | ||
| HCLM 6015 | Health Information Management and Informatics | 3 |
| APAN 7010 | Capstone Practicum | 3 |
| Credits | 6 | |
| Total Credits | 30 | |
Management Concentration Sequence
| First Year | ||
|---|---|---|
| Fall | Credits | |
| APAN 6015 | Data Models and Structured Analysis | 3 |
| INFT 6015 | Database Design and Management | 3 |
| Credits | 6 | |
| Spring | ||
| MGMT 6040 | High Performance Management | 3 |
| PPOL 6020 | Research Methods | 3 |
| Credits | 6 | |
| Summer | ||
| MGMT 6095 | E-Commerce & E-Business Technologies | 3 |
| MGMT 6185 | Quantitative Methods for Decision Making | 3 |
| Credits | 6 | |
| Second Year | ||
| Fall | ||
| APAN 6010 | Computer Aided Multivariate Analysis | 3 |
| APAN 6020 | Data Mining | 3 |
| Credits | 6 | |
| Spring | ||
| APAN 6025 | Applied Management Analytics | 3 |
| APAN 7010 | Capstone Practicum | 3 |
| Credits | 6 | |
| Total Credits | 30 | |
Education Concentration Sequence
| First Year | ||
|---|---|---|
| Fall | Credits | |
| APAN 6015 | Data Models and Structured Analysis | 3 |
| INFT 6015 | Database Design and Management | 3 |
| Credits | 6 | |
| Spring | ||
| CURI 6015 | Leading in a Learning Environment | 3 |
| PPOL 6020 | Research Methods | 3 |
| Credits | 6 | |
| Summer | ||
| MGMT 6095 | E-Commerce & E-Business Technologies | 3 |
| MGMT 6185 | Quantitative Methods for Decision Making | 3 |
| Credits | 6 | |
| Second Year | ||
| Fall | ||
| APAN 6010 | Computer Aided Multivariate Analysis | 3 |
| APAN 6020 | Data Mining | 3 |
| Credits | 6 | |
| Spring | ||
| EDET 6080 | Evaluation Assessment and Data Driven Learning Design | 3 |
| APAN 7010 | Capstone Practicum | 3 |
| Credits | 6 | |
| Total Credits | 30 | |
Upon completion of the M.S. in Applied Analytics, students should be able to:
- Evaluate large stores of data as part of database design to discover patterns and trends that go beyond simple analysis.
- Apply analytic tools to critically evaluate applied research.
- Analyze descriptive and inferential statistics and interpret the computer-generated statistical results with data visualization.
- Develop ethical decision-making competencies through statistical methods and the application of analytical tools.
- Strategize how the issues facing leaders and decision makers, in a variety of fields, can be resolved ethically.
- Analyze and present big data in order to make strategic decisions including resource allocation.