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Co-Terminal Bachelor of Science in Applied Mathematics / Master in Data Science

IIT offers a five-year, co-terminal Bachelor of Science in Applied Mathematics/Master of Data Science degree program for students who wish to combine a bachelor's degree in applied mathematics with a professional master's degree in data science, leading to a career as a data scientist. The program is designed for students seeking a career in industry, in government, or in the non-profit world, working to understand data and to help people make better decisions based on empirical evidence.

The need for more qualified data scientists could not be clearer. A simple job search for "Data Scientist" today reveals thousands of job openings. Numerous articles, studies, and blog postings have been warning of the shortage of Data Scientists, such as Information Week, 8/21/12; Fortune, 9/5/2011; and EMC Data Science Study 2011. In 2011 McKinsey Global Institute published “Big data: The next frontier for innovation, competition, and productivity," citing a need for 140,000-190,000 data scientists in the U.S. alone, and the need has not abated since then.

The advantage of the co-terminal program at IIT is that it provides students trained in applied mathematics the data science expertise and workplace skills necessary for a successful career in one of the hottest fields of the 21st Century, listed as one of the 10 best jobs of 2015 by Business Insider magazine. Whether you work for a startup, a non-profit, or a large corporation, whether you do market analysis or industrial research, whether you create enterprise data analytics systems or custom consulting reports, deep technical understanding, good communication skills, and a firm grasp of today's business principles are essential. This is what the five-year BSAM/MAS-DS program is all about.

Admission 

Students in the Bachelor of Science (B.S.) program in Applied Mathematics may apply for admission to the co-terminal Master of Data Science program after their second year (4 semesters or 80 credit hours including transfer credit) of undergraduate study. The student must have an overall GPA of at least 3.0 and a GPA of at least 3.25 in math and computer science.

See Graduate Admissions: Co-Terminal for information on how to apply.

Financial Assistance

Students in co-terminal degree programs are classified as undergraduates, and undergraduate scholarships continue to apply. See Graduate Admissions: Co-Terminal for important details.

Program Requirements 

Students must fulfill the requirements of both the B.S. in Applied Mathematics and the Master of Data Science. The B.S. in Applied Mathematics requires a minor, which in this case must be a minor in Data Management in Computer Science. Nine credit hours may be shared by both programs by selecting three courses that count toward requirements in both degrees.

Course of Study 

To be sure of finishing in five years, careful advising by both departments in necessary. The following schedule is one possibility, but there are other ways to fulfill the requirements, taking into account which courses are offered which semesters.

Five year Sample Program

     
First semester  
Credits
MATH 100 
MATH 151
CS 115
Humanities 200-level
Science Elective
Intro. to the Profession
Calculus I
Intro. to Computer Prog. I
 
 
3
5
2
3
3
Totals   16
     
Second semester    
MATH 152
MATH 230
CS 116 
PHYS 123
Social Science Elective
Calculus II
Intro. to Discrete Math
Intro. to Computer Prog. II
General Physics I: Mechanics
5
3
2
4
3
Totals   17
     
Third semester    
MATH 251
MATH 332
CS 331 (Minor)
Science Elective
Humanities or Social Science Elective
Multivar & Vector Calc.
Elementary Linear Algebra
Data Structures and Algorithms
 
 
4
3
3
3
3
Totals   16
     
Fourth semester    
MATH 252
MATH 350
CS 422 or 429 (Minor)
Science Elective
Social Science Elective
Intro to Differential Equations
Intro. Computational Math
Computer Organization and Assembly Language Programming or Information Retrieval
 
 
4
3
3
3
3
Totals   16
     
Fifth semester    
MATH 430 or 454
MATH 475
Applied Math Elective
CS 425 (Minor)
Humanities 300+ Elective
Free Elective
Applied Algebra or Graph Theory
Probability
 
Database Organization
 
 
3
3
3
3
3
3
Totals   18
     
Sixth semester    
Math 380
Applied Math Elective
Applied Math Elective
Social Science Elective
Free Elective
IPRO 397
Intro. to Mathematical Modeling
 
 
 
 
 
3
3
3
3
3
3
Total   18
     
Seventh semester    
CS 445 (Minor)
Math 400
Applied Math Elective/Data Science Elective)
Humanities 300+ Elective
IPRO 497
Data Communications
Real Analysis
 
 
 
3
3
3
3
3
Totals   15
     
Eighth semester    
Applied Math Elective
Applied Math Elective
SCI 522 (Free Elective)
Data Science Elective (Minor)
 
 
Public Engagement for Scientists
 
3
3
3
3
Totals   12
     
Ninth semester    
CS 525 or 554
MATH 563 or 564
CSP/MATH 570
Data Science Elective
Adv. Database Org. or Data-Intensive Computing
Mathematical Statistics or Applied Statistics
Data Science Seminar
 
3
3
0
3
Totals   9
     
Tenth semester    
CS 584 or MATH 569
CSP/MATH 571
SCI 511
Machine learning or Statistical Learning
Data Preparation and Analysis
Project Management
3
3
3
Totals   9
     
Summer    
CSP/MATH 572 Data Science Practicum 6
Totals   6
     
Total credit hours 128 (BS-AM) + 33 (MDS) − 9 (Shared) = 152