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Bachelor of Science in Statistics

The new B.S. in statistics from Illinois Tech is technically intensive and mathematically rigorous to help prepare students for exceptional career paths in statistics, analytics, and data science.

Statistics is one of the hottest fields today, in part because of the explosion of data in our lives. In April 2018, the U.S. Bureau of Labor Statistics named statistics as one of the fastest-growing occupations in the United States. The number of statistician jobs is expected to grow by 34 percent between 2016 and 2026. Median annual salary was $84,060 in 2017. U.S. News & World Report called statistics the “#1 Best Business Job” and “#6 Best Job.” Unemployment at this writing is just 1.4 percent. There are opportunities in business, government, and academia.

Offered by the applied mathematics department, Illinois Tech’s B.S. in statistics includes a strong computational emphasis, so that you will be able to take on bigger datasets—such as artificial intelligence datasets. You will take several programming courses, and statistics courses that emphasize statistics computational skills. By contrast, some other programs do not have computer science courses.

You also will take mathematics courses; learn about statistics theory; how to work with data, describe it, model it, analyze it, and present it; how to propose statistical models; how to communicate your work; and societal impacts and ethical issues of sound statistical practice.

Several faculty do research in statistics, so you may have the opportunity to work on real problems side-by-side with professors. Earning your degree in an engineering/science university also may afford you the opportunity to work on challenging problems in engineering or science.

Program Requirements 

Applied Mathematics Requirements (29)
MATH 100 Introduction to the Profession 3
MATH 151 Calculus I 5
MATH 152 Calculus II 5
MATH 230 Introduction to Discrete Math 3
MATH 251 Multivariate and Vector Calculus 4
MATH 332 Elementary Linear Algebra 3
MATH 350 Introduction to Computational Mathematics 3
MATH 435 Linear Optimization 3
Statistics Requirements (15)
MATH 225 Introductory Statistics 3
MATH 446 Introduction to Time Series 3
MATH 475 Probability 3
MATH 476 Statistics 3
MATH 484 Regression 3
Applied Mathematics Electives (15)
Select 15 credit hours from the following courses, or any other approved AMAT elective: 1 15
Introduction to Differential Equations 4
Introduction to Mathematical Modeling 3
Real Analysis 3
Introduction to Stochastic Processes 3
Design and Analysis of Experiments 3
Data Mining 3
Minor Requirement (15)
Select five related courses from an area outside of applied mathematics, computational mathematics, or statistics 15
Computer Science Requirements (7-9)
Select one of the following sequences: 4-6
Object-Oriented Programming I
and Object-Oriented Programming II
4
Introduction to Computer Programming for Engineers
and Accelerated Introduction to Computer Science
6
Introduction to Computer Programming
and Accelerated Introduction to Computer Science
6
CS 331 Data Structures and Algorithms 3
Natural Science and Engineering Requirements (10)
See Illinois Tech Core Curriculum, section D 10
Humanities and Social Science Requirements (21)
See Illinois Tech Core Curriculum, sections B and C 21
Interprofessional Projects (IPRO) (6)
See Illinois Tech Core Curriculum, section E 6
Free Electives (8)
Select eight credit hours 8

 

Minimum degree credits required: 126

1

Applied mathematics/statistics electives are to be chosen after consultation with an academic adviser. Student goals, interests, and course availability should be determining factors in this selection process. Students can take CS 422 to replace one applied mathematics/statistics elective. CS 422 must be taken after CS 331, which is a required computer science course in this curriculum. The following courses do not count toward the requirements for this degree: MATH 119MATH 122MATH 130MATH 148MATH 180MATH 333MATH 374MATH 425MATH 426, and MATH 474.

Course of Study 

Year 1
Semester 1Credit HoursSemester 2Credit Hours
MATH 100 3 MATH 152 5
MATH 151 5 MATH 225 3
Computer Science Course1 2 MATH 230 3
Social Sciences Elective 3 Computer Science Course1 2
Humanities 200-level Course 3 Science Elective 4
  16   17
Year 2
Semester 1Credit HoursSemester 2Credit Hours
MATH 251 4 MATH 435 3
MATH 332 3 Applied Mathematics/Statistics Elective2 3
CS 331 3 Minor Elective 3
Minor Elective 3 Science Elective 3
Humanities or Social Sciences Elective 3 Social Sciences Elective (300+) 3
  16   15
Year 3
Semester 1Credit HoursSemester 2Credit Hours
MATH 475 3 MATH 350 3
Applied Mathematics/Statistics Elective2 3 MATH 476 3
Minor Elective 3 Applied Mathematics/Statistics Elective2 3
Science Elective 3 IPRO Elective I 3
Humanities Elective (300+) 3 Social Sciences Elective (300+) 3
Free Elective 2  
  17   15
Year 4
Semester 1Credit HoursSemester 2Credit Hours
MATH 484 3 MATH 446 3
Applied Mathematics/Statistics Elective2 3 Applied Mathematics/Statistics Elective2 3
Minor Elective 3 Minor Elective 3
Humanities Elective (300+) 3 Free Elective 3
IPRO Elective II 3 Free Elective 3
  15   15
Total Credit Hours: 126

 

1

Students must complete one of the following computer science sequences: CS 115 and CS 116, CS 104 and CS 201, or CS 105 and CS 201.

2

Applied mathematics/statistics electives are to be chosen after consultation with an academic adviser. Student goals, interests, and course availability should be determining factors in this selection process. Students can take CS 422 to replace one applied mathematics/statistics elective. CS 422 must be taken after CS 331, which is a required computer science course in this curriculum. The following courses do not count toward the requirements for this degree: MATH 119, MATH 122, MATH 130, MATH 148, MATH 180, MATH 333, MATH 374, MATH 425, MATH 426, and MATH 474.