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

Introduction to Profession (2-3)
Select one of the following:2-3
Introduction to Business3
Introduction to the Professions2
Introduction to the Profession3
Introduction to the Profession3
Theory and Data (TD) Requirements (7)
MATH 251Multivariate and Vector Calculus4
MATH 474Probability and Statistics3
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-Making3
Making Strategic Decisions in the Marketplace3
Understanding and Competing in the Global Marketplace3
Economic Analysis of Capital Investments3
Psychology specialization courses
Undergraduate Statistics for the Behavioral Sciences4
Research Methods in Behavioral Science4
Introduction to Psychological Science3
Applied Correlation and Regression3
Social Sciences/Humanities specialization courses
Topics in Communication 13
Topics in Political Science
Topics in Sociology
Social Networks3
Undergraduate Statistics for the Behavioral Sciences3-4
Analytics for Informed Decision-Making
Social Science Research Methods3
Data Structures and Management (DSM) Requirements (9)
Choose a minimum of three courses from the following:9
Data Structures and Algorithms3
Data Mining3
Data Modeling and Applications3
Advanced Database Management3
Database Security3
Communicating About Data (CAD) Requirements (12)
Select a minimum of four courses from the following:12
Technical Communication3
Document Design3
Verbal and Visual Communication3
Computer Graphics for Non-Engineers3
Communication in the Workplace3
Introduction to Contemporary Operating Systems and Hardware I3
Advanced Software Development3
Science and Values3
Ethics in Computer Science3
Capstone Project (3)
Topic must be approved by the adviser.3
Mathematics Requirements (10)
MATH 151Calculus I5
MATH 152Calculus II5
Computer Science Requirements (4-6)
Select one of the following:4-6
Object-Oriented Programming I
and Object-Oriented Programming II
Introduction to Computer Programming
and Accelerated Introduction to Computer Science
Natural Sciences Requirements (11-12)
See Illinois Tech Core Curriculum, section D11-12
Interprofessional Projects (IPRO) (6)
See Illinois Tech Core Curriculum, section E6
Humanities and Social Sciences Requirements (21)
See Illinois Tech Core Curriculum, sections B and C21
Free Electives (30)
Select 30 credit hours30

Minimum degree credits required: 127/128

Bachelor of Science in Applied Analytics Curriculum

Year 1
Semester 1Credit HoursSemester 2Credit Hours
Introduction to the Profession12-3MATH 1525
Science Elective3CS 11622
Science Lab Elective1Science Elective3
CS 11522Social Sciences Elective3
MATH 1515Humanities 200-level Course3
Free Elective3 
 16-17 16
Year 2
Semester 1Credit HoursSemester 2Credit Hours
MATH 2514Specialization Course33
Science Elective4Data Structures and Management Elective43
Specialization Course33Communicating about Data Elective53
Social Sciences Elective (300+)3Humanities or Social Sciences Elective3
Free Elective3Free Elective3
 Free Elective3
 17 18
Year 3
Semester 1Credit HoursSemester 2Credit Hours
MATH 4743Specialization Course33
Data Structures and Management Elective43Data Structures and Management Elective43
Communicating about Data Elective53IPRO Elective II3
IPRO Elective I3Humanities Elective (300+)3
Free Elective3Free Elective 3
 15 15
Year 4
Semester 1Credit HoursSemester 2Credit Hours
Specialization Course33Capstone Project63
Communicating about Data Elective53Communicating about Data Elective53
Social Sciences Elective (300+)3Humanities Elective (300+)3
Free Elective3Free Elective3
Free Elective3Free Elective3
 15 15
Total Credit Hours: 127-128