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 |
---|---|---|
Applied Analytics Requirements | (127-129) | |
Introduction to the Professions | 2-3 | |
Intro to the Professions | 2-3 | |
or BUS 100 | Introduction to Business | |
Theory and Data (TD) Requirements | 18 | |
Rsrch Method in Behavioral Sci | 4 | |
or SSCI 209 | Social Science Research Method | |
Undergrad Stats Bhvrl Sci | 4 | |
or MATH 225 | Introductory Statistics | |
or BUS 221 | Business Statistics | |
Applied Correlation/Regression | 3 | |
Multivariate & Vector Calculus | 4 | |
Probability and Statistics | 3 | |
Specialization Requirements | 15 | |
Students must complete 15 credit hours in a specialization track. Select five courses in one of the specialization tracks below: | ||
Consumer Research Specialization | ||
Microeconomics | 3 | |
Global Economics | 3 | |
Marketing Fundamentals | 3 | |
Marketing Research | 3 | |
Consumer Behavior | 3 | |
Social Psychology | 3 | |
Psychological Testing | 3 | |
People Analytics Specialization | ||
Industrial Psychology | 3 | |
Social Psychology | 3 | |
Dev and Eval of Traing Orgs | 3 | |
Social Networks | 3 | |
Organizational Behavior | 3 | |
Optimization and Decision-Maki | 3 | |
Social Sciences Specialization | ||
Geographic Information Systems | 3 | |
States, Markets, and Society | 3 | |
Social Inequality | 3 | |
Special Topics with approval of advisor | 3 | |
Method of Econ Impact Analysis | 3 | |
Global Political Economy | 3 | |
Communicating About Data (CAD) Requirements | 12 | |
One course must be an ethics course. Select a minimum of four courses from the following: | ||
Technical Communication | 3 | |
Document Design | 3 | |
Verbal Visual Communications | 3 | |
Commctn in the Wrkpl | 3 | |
Intro OS and Hardware I | 3 | |
Fund of Web Development | 3 | |
Human-Computer Interaction | 3 | |
Fundamentals of Multimedia | 3 | |
Science and Values | 3 | |
Ethics | 3 | |
Business Ethics | 3 | |
Ethics in Computer Science | 3 | |
Communication Law&Ethics | 3 | |
Capstone Project | 3 | |
Senior Capstone Project I | 3 | |
Select one CS Minor from Artificial Intelligence, Database Management or Computer Science 1 | 16 | |
Mathematics Requirements | 10 | |
Calculus I | 5 | |
Calculus II | 5 | |
Computer Science Requirements | 2 | |
Select one of the following: | ||
Intro to Computer Programming | 2 | |
or CS 115 | Object-Oriented Programming I | |
Natural Sciences Requirements | ||
See Illinois Tech Core Curriculum, section D | 10-11 | |
Interprofessional Projects (IPRO) | ||
See Illinois Tech Core Curriculum, section E | 6 | |
Humanities and Social Sciences Requirements | ||
See Illinois Tech Core Curriculum, sections B and C | 21 | |
Free Electives | 12 | |
Select 12 credit hours | ||
Total Credit Hours | 127-129 |
Minimum degree credits required: 127/129
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 |
HUM 200 | 3 | CS 201 | 4 |
CS 1052 | 2 | Science Elective | 3 |
MATH 151 | 5 | Science Elective LAB | 1 |
Science Elective | 3 | Social Sciences Elective | 3 |
15-16 | 16 | ||
Year 2 | |||
Semester 1 | Credit Hours | Semester 2 | Credit Hours |
MATH 251 | 4 | PSYC 203, BUS 221, or MATH 225 | 4 |
CS minor4 | 3 | Specialization Course3 | 3 |
Social Sciences Elective (300+) | 3 | CS minor4 | 3 |
HUM elective (300+) | 3 | Social Sciences Elective (300+) | 3 |
Free Elective | 3 | Humanities Elective (300+) | 3 |
16 | 16 | ||
Year 3 | |||
Semester 1 | Credit Hours | Semester 2 | Credit Hours |
PSYC 320 | 3 | PSYC 204 | 4 |
CS minor4 | 3 | Specialization Course3 | 3 |
Communicating about Data Elective5 | 3 | CS minor4 | 3 |
Specialization course | 3 | Communicating about Data elective5 | 3 |
Science elective | 3-4 | Free Elective | 3 |
15-16 | 16 | ||
Year 4 | |||
Semester 1 | Credit Hours | Semester 2 | Credit Hours |
MATH 474 | 3 | Capstone Project6 | 3 |
Specialization Course3 | 3 | Communicating about Data Elective5 | 3 |
Communicating about Data Elective5 | 3 | Specialization Course3 | 3 |
IPRO elective | 3 | IPRO Elective | 3 |
Social Sciences or Humanities elective | 3 | Free Elective | 3 |
Free Elective | 3 | ||
18 | 15 | ||
Total Credit Hours: 127-129 |
- 1
- 2
The CS 105 and CS 201 sequence may be substituted with the CS 115 and CS 116 sequence.
- 3
See specialization course options on the Program Requirements tab.
- 4
Choose from COM 421, COM 424, COM 428, ITM 300, ITM 301, ITMD 361, ITMD 362, ITMD 460, PHIL 351, PHIL 360, PHIL 373, PHIL 374 or PHIL 377
- 5
Choose a CS minor from AI, Database Managment, or Computer Science.
- 6
Topic must be approved by adviser.