Bachelor of Science in Mathematics
The Department of Computing, Information and Mathematical Sciences, and Technology (CIMST) offers a Bachelor of Science degree in Mathematics with three options:
- Data Science
- Applied Data Science (for double majors)
- Secondary Teaching.
It also offers
- an interdisciplinary minor in Data Science
In addition, the Mathematics major is conducive to be double majored by Computer Science.
Through a carefully curated curriculum that emphasizes both mathematical abstraction and computing, the program produces graduates who are gainfully employable in a variety of sectors. By bridging disciplines, this curriculum not only meets industry demands but also enriches the diversity of Chicago’s large employment landscape, particularly in high-growth areas like data science, FinTech, banking, insurance, AI, quantum computing, and other emerging technologies. Through culturally sensitive pedagogies, it employs datasets relevant to the communities we serve, ensuring students not only engage with real-world data but also develop the critical ability to analyze algorithms for inherent biases. This approach underscores the program’s commitment to inclusivity and relevance, equipping graduates to make a meaningful impact across industries while promoting equitable practices and upward mobility in diverse communities.
The program’s supportive and elective courses in computer science offer flexibility for students interested in a double major in Mathematics and Computer Science. This strategic overlap between the two fields facilitates a seamless path to dual expertise, making students versatile and highly employable across industries.
No major will be permitted to take more than 59 hours of online courses that are applicable to the degree.
Free Electives (18 hours)
The Mathematics major opens the door to vast career opportunities. By strategically selecting electives, students can pursue minors or curricular pathways that align with their interests and prepare them for graduate studies or careers in fields such as data science, information technology, financial technology, banking, actuarial science, and pharmaceuticals, among others.
Electives can include courses from mathematics, computer science, chemistry, life sciences, physics, accounting, finance, and related disciplines, but may also be used to explore any area of interest. Strongly recommended electives include graduate or undergraduate courses in analysis, applied analysis, numerical analysis, artificial intelligence, and cloud-based solutions. Those interested in quantum computing are strongly encouraged to take elective courses in physics and chemistry.
Students are also encouraged to gain practical experience through approved internships in community organizations, industry, or other settings, or by participating in an Undergraduate Research Experience (URE). To receive academic credit for these experiences that is applicable to their major or minor, students must register for MATH 4920 or CPTR 4920 for 1 to 3 credit hours, The following suggested list of electives is not exhaustive; additional courses may be selected. Students should consult with their advisor to align their choices with their career objectives. Prerequisites of elective courses should be considered during degree planning to ensure timely completion of the program.
The following, non-exhaustive list, are courses that have a strong data science focus:
Mathematics: MATH 2550, 5510, 5520; 4410, 4450; 4510, 4520; 4260, 5220
Computer Science: CPTR 5666, 5715
Art: Courses helpful in data visualization, ART 1280
Physics: Courses in quantum mechanics, PHYS 3110, 3150, 3250, 4260
Chemistry: CHEM 3900, CHEM 4200
Life Sciences: Courses in genetics, bioinformatics, epidemiology, biometrics, BIOL 3040, 3090, 4915
Economics: ECON 1010*, 1020*, 1050, 2060, 4010
Accounting and Finance: Set ACCT 2110, 2111, and FIN 2660 or the set ACCT 2110, FIN 2660, and FIN 3680; FIN 2660, 3630, 3640, 3840
*Cannot be dual counted as a general education course and an elective course.
Double Major in Mathematics and Computer Science
Mathematics and computer science majors are encouraged to consider a double major, as there is substantial overlap in required and elective courses, making this pathway achievable. For more details, please consult with advisors for double major curricular map.
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