Applied Analytics, Master of Science
The M.S. in Applied Analytics is a 30 credit hour, on-line, professional master’s graduate degree program. It provides students with the necessary skill sets to make informed decisions based on the statistical analysis of data relevant across industries and organizations. This master’s degree provides students with strategic approaches to decision making within public and private institutions. These strategic approaches will be used to develop frameworks for solving analytical problems, decisions on which data needs to be collected, what information systems can be effectively used to collect the data, and what analyses should be performed in order to inform institutional decision making.
Program Design
The six core courses (18 credits) will enhance students’ mathematical and technology skills. These core courses are supplemented by three concentration courses (9 credits) in decision making and management, in which students will apply the skills learned in the core courses to their industry/concentration of choice: healthcare, marketing, management, or education. The experiential learning capstone (3 credits) allows students to apply their skills in a real-world setting.
Program Delivery and Tuition Rate
This program is delivered through online instruction and capstone internship, providing flexibility and convenience for working professionals and adult learners. Students may complete the program on a full-time or part-time schedule. It is billed at the non-MBA rate.
Admission
Admission to the M.S. in Applied Analytics program is selective. This program begins new students in the fall and spring terms only. In addition to completing the graduate application, acceptable candidates should have completed the following academic prerequisites:
- 3 credits of statistics
- 3 credits of information technology
Students who are missing one or both prerequisites, need to successfully complete both (grade of C or better) before starting classes.
Application
Please see the Graduate Admission section of this catalog for a complete listing of materials required to complete a graduate application.
The MS 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 6-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; and
- Analyze and present big data in order to make strategic decisions including resource allocation.