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

Applied Analytics Requirements (127-129)
Introduction to the Professions2-3
Introduction to the Professions2-3
Introduction to Business and Economics
Theory and Data (TD) Requirements18
Research Methods in Behavioral Science4
Social Science Research Methods
Undergraduate Statistics for the Behavioral Sciences4
Introductory Statistics
Business Statistics
Applied Correlation and Regression3
Multivariate and Vector Calculus4
Probability and Statistics3
Specialization Requirements15
Students must complete 15 credit hours in a specialization track. Select five courses in one of the specialization tracks below:
Consumer Research Specialization
Microeconomics3
Macroeconomics3
Marketing Fundamentals3
Marketing Research3
Consumer Behavior3
Social Psychology3
Psychological Testing3
People Analytics Specialization
Industrial Psychology3
Social Psychology3
Development and Evaluation of Training in Organizations3
Social Networks3
Organizational Behavior3
Optimization and Decision-Making3
Social Sciences Specialization
Introduction to Geographic Information Systems3
States, Markets, and Society3
Social Inequality3
Special Topics with approval of advisor3
Methods of Economic Impact Analysis3
Global Political Economy3
Communicating About Data (CAD) Requirements12
One course must be an ethics course. Select a minimum of four courses from the following:
Technical Communication3
Document Design3
Verbal and Visual Communication3
Communication in the Workplace3
Introduction to Contemporary Operating Systems and Hardware I3
Fundamentals of Web Development3
Human-Computer Interaction and Web Design3
Fundamentals of Multimedia3
Science and Values3
Ethics3
Business Ethics3
Ethics in Computer Science3
Communication Law and Ethics3
Capstone Project3
Senior Capstone Project I3
Select one CS Minor from Artificial Intelligence, Database Management or Computer Science 116
Mathematics Requirements10
Calculus I5
Calculus II5
Computer Science Requirements2
Select one of the following:
Introduction to Computer Programming2
Object-Oriented Programming I
Natural Sciences Requirements
See Illinois Tech Core Curriculum, section D10-11
Interprofessional Projects (IPRO)
See Illinois Tech Core Curriculum, section E6
Humanities and Social Sciences Requirements
See Illinois Tech Core Curriculum, sections B and C21
Free Electives12
Select 12 credit hours
Total Credit Hours127-129

Minimum degree credits required: 127/129

1

Minor in Artificial Intelligence, Database Management, Computer Science

Bachelor of Science in Applied Analytics Curriculum

Year 1
Semester 1Credit HoursSemester 2Credit Hours
Introduction to the Profession12-3MATH 1525
HUM 2003CS 2014
CS 10522Science Elective3
MATH 1515Science Elective LAB1
Science Elective3Social Sciences Elective3
 15-16 16
Year 2
Semester 1Credit HoursSemester 2Credit Hours
MATH 2514PSYC 203, BUS 221, or MATH 2254
CS minor43Specialization Course33
Social Sciences Elective (300+)3CS minor43
HUM elective (300+)3Social Sciences Elective (300+)3
Free Elective3Humanities Elective (300+)3
 16 16
Year 3
Semester 1Credit HoursSemester 2Credit Hours
PSYC 3203PSYC 2044
CS minor43Specialization Course33
Communicating about Data Elective53CS minor43
Specialization course3Communicating about Data elective53
Science elective3-4Free Elective 3
 15-16 16
Year 4
Semester 1Credit HoursSemester 2Credit Hours
MATH 4743Capstone Project63
Specialization Course33Communicating about Data Elective53
Communicating about Data Elective53Specialization Course33
IPRO elective3IPRO Elective3
Social Sciences or Humanities elective3Free Elective 3
Free Elective3 
 18 15
Total Credit Hours: 127-129
1

Choose from the following courses: BUS 100 or LCHS 100.

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 361ITMD 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.