Bachelor of Science in Applied Analytics
Applied Analytics
The Bachelor of Science in Applied Analytics combines training in using quantitative research methods and communicating their results. Students pursuing a Bachelor of Science in Applied Analytics will develop an understanding of:
- How to collect, curate, and analyze data.
- How to communicate the implications of data to various audiences and applications.
- How to apply the aforementioned skills with respect to the social sciences, psychology, or business.
Students majoring in applied analytics must complete core courses in statistics and theory, computer science, and communication. Through free electives and proper advising, students will be able to tailor their focus around topics including but not limited to advanced statistics, data mining, information management systems, geographic information systems, online social networks, and psychological testing. The required capstone project will be based on these core courses and electives, highlighting students' skills as well as their personal interests.
Successful completion of the applied analytics degree ensures students will be able to manage and analyze data using an array of statistical approaches. They will be well prepared for the workplace and/or advanced research in statistics or fields in which knowledge of statistics is required, particularly careers in data science, market analysis, business analysis, bioinformatics, psychometrics, and public relations. Our career advising is based on the close monitoring of the types of analytics needed today and in the future.
Required Courses
| Code | Title | Credit Hours |
|---|---|---|
| Introduction to Profession | (2-3) | |
| Select one of the following: | 2-3 | |
| Introduction to Business | 3 | |
| Introduction to the Professions | 2 | |
| Introduction to the Profession | 3 | |
| Introduction to the Profession | 3 | |
| Theory and Data (TD) Requirements | (7) | |
| MATH 251 | Multivariate and Vector Calculus | 4 |
| MATH 474 | Probability and Statistics | 3 |
| Specialization Requirements | (12-14) | |
| Students must complete 12 credit hours in a specialization track. Select four courses in one of the specialization tracks below: | 12-14 | |
| Business/Economics specialization courses | ||
| Analytics for Informed Decision-Making | 3 | |
| Making Strategic Decisions in the Marketplace | 3 | |
| Understanding and Competing in the Global Marketplace | 3 | |
| Economic Analysis of Capital Investments | 3 | |
| Psychology specialization courses | ||
| Undergraduate Statistics for the Behavioral Sciences | 4 | |
| Research Methods in Behavioral Science | 4 | |
| Introduction to Psychological Science | 3 | |
| Applied Correlation and Regression | 3 | |
| Social Sciences/Humanities specialization courses | ||
| Topics in Communication 1 | 3 | |
or PS 385 | Topics in Political Science | |
or SOC 385 | Topics in Sociology | |
| Social Networks | 3 | |
| Undergraduate Statistics for the Behavioral Sciences | 3-4 | |
or BUS 221 | Analytics for Informed Decision-Making | |
| Social Science Research Methods | 3 | |
| Data Structures and Management (DSM) Requirements | (9) | |
| Choose a minimum of three courses from the following: | 9 | |
| Data Structures and Algorithms | 3 | |
| Data Mining | 3 | |
| Data Modeling and Applications | 3 | |
| Advanced Database Management | 3 | |
| Database Security | 3 | |
| Communicating About Data (CAD) Requirements | (12) | |
| Select a minimum of four courses from the following: | 12 | |
| Technical Communication | 3 | |
| Document Design | 3 | |
| Verbal and Visual Communication | 3 | |
| Computer Graphics for Non-Engineers | 3 | |
| Communication in the Workplace | 3 | |
| Introduction to Contemporary Operating Systems and Hardware I | 3 | |
| Advanced Software Development | 3 | |
| Science and Values | 3 | |
| Ethics in Computer Science | 3 | |
| Capstone Project | (3) | |
| Topic must be approved by the adviser. | 3 | |
| Mathematics Requirements | (10) | |
| MATH 151 | Calculus I | 5 |
| MATH 152 | Calculus II | 5 |
| Computer Science Requirements | (4-6) | |
| Select one of the following: | 4-6 | |
| Object-Oriented Programming I and Object-Oriented Programming II | 4 | |
| Introduction to Computer Programming and Accelerated Introduction to Computer Science | 6 | |
| Natural Sciences Requirements | (11-12) | |
| See IIT Core Curriculum, section D | 11-12 | |
| Interprofessional Projects (IPRO) | (6) | |
| See IIT Core Curriculum, section E | 6 | |
| Humanities and Social Sciences Requirements | (21) | |
| See IIT Core Curriculum, sections B and C | 21 | |
| Free Electives | (30) | |
| Select 30 credit hours | 30 | |
Minimum degree credits required: 127/128
| 1 | Topic must be approved by the adviser. |
Bachelor of Science in Applied Analytics Curriculum
| Year 1 | |||
|---|---|---|---|
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| Introduction to the Profession1 | 2-3 | MATH 152 | 5 |
| Science Elective | 3 | CS 1162 | 2 |
| Science Lab Elective | 1 | Science Elective | 3 |
| CS 1152 | 2 | Social Sciences Elective | 3 |
| MATH 151 | 5 | Humanities 200-level Course | 3 |
| Free Elective | 3 | ||
| 16-17 | 16 | ||
| Year 2 | |||
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| MATH 251 | 4 | Specialization Course3 | 3 |
| Science Elective | 4 | Data Structures and Management Elective4 | 3 |
| Specialization Course3 | 3 | Communicating about Data Elective5 | 3 |
| Social Sciences Elective (300+) | 3 | Humanities or Social Sciences Elective | 3 |
| Free Elective | 3 | Free Elective | 3 |
| Free Elective | 3 | ||
| 17 | 18 | ||
| Year 3 | |||
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| MATH 474 | 3 | Specialization Course3 | 3 |
| Data Structures and Management Elective4 | 3 | Data Structures and Management Elective4 | 3 |
| Communicating about Data Elective5 | 3 | IPRO Elective II | 3 |
| IPRO Elective I | 3 | Humanities Elective (300+) | 3 |
| Free Elective | 3 | Free Elective | 3 |
| 15 | 15 | ||
| Year 4 | |||
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| Specialization Course3 | 3 | Capstone Project6 | 3 |
| Communicating about Data Elective5 | 3 | Communicating about Data Elective5 | 3 |
| Social Sciences Elective (300+) | 3 | Humanities Elective (300+) | 3 |
| Free Elective | 3 | Free Elective | 3 |
| Free Elective | 3 | Free Elective | 3 |
| 15 | 15 | ||
| Total Credit Hours: 127-128 | |||
| 1 | Choose from the following courses: BUS 100, LCHS 100, PSYC 100, or SSCI 100. |
| 2 | The CS 115 and CS 116 sequence may be substituted by the CS 105 and CS 201 sequence. |
| 3 | See specialization course options on the Program Requirements tab. |
| 4 | Choose from the following courses: CS 331, CS 422, ITMD 421, ITMD 422, or ITMS 428. |
| 5 | Choose from the following courses: COM 421, COM 424, COM 428, EG 425, ITM 300, ITM 301, ITMD 415, PHIL 351, or PHIL 374. |
| 6 | Topic must be approved by adviser. |
