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2025-2026 Undergraduate Catalog
Data Science, B.S.
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Department Website
The program in Data Science leading to a Bachelor of Science degree prepares students for a productive career in the industry and for graduate studies in diverse disciplines. The curriculum integrates quantitative analysis and computer science, setting it apart from other fields. Through hands-on projects and practical exploration of programming languages like Python and R, students delve into machine learning algorithms, data visualization techniques, and database management, gaining invaluable insights into complex dataset analysis. The curriculum places a strong emphasis on data ethics, ensuring graduates are adept at responsibly navigating diverse contexts. Capstone projects encourage the application of knowledge to solve complex problems, fostering critical thinking and innovation. With a strong focus on professional development, including technical communication and teamwork, the program ensures that graduates are well-prepared for a dynamic career in data science, equipping them with the skills and knowledge needed to excel in the rapidly evolving field.
Schedule of Classes
Specific offerings for each semester may be found in the Schedule of Classes.
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Program educational objectives
In the course of their careers, graduates of the Data Science program will: - Work productively to design, implement, and improve solutions to data problems.
- Remain current in their profession through lifelong learning, including graduate school.
- Exhibit teamwork and leadership as well as exercise their profession with the highest level of ethics and social responsibility.
Requirements for the Bachelor of Science in Data Science
To earn a Bachelor of Science degree with a major in Data Science students must complete a minimum of 128 credits and meet the following requirements: General Education Requirements
In order to graduate on-schedule without taking additional courses, it is highly recommended that students meet with an Undergraduate Academic Adviser concerning the selection of all of their general education courses.
Each candidate for an Oakland University baccalaureate will need to satisfactorily complete approved courses in each of the following areas: Foundations, Explorations, Integration, Writing Intensive, and US Diversity. For details, refer to the General Education Requirements section of the catalog. In order to satisfy both general education and other program requirements, in some of the general education areas students should select from the courses listed below.
Foundations
• Writing Foundations (WRT 1060)
• Formal Reasoning (Satisfied by MTH 1554; see Quantitative foundations)
Explorations: One course from each of the seven areas
• Arts
• Language and Culture
• Global Perspective - ECN 2020 will satisfy the Global Perspective General Education requirement and act as a prerequisite for students pursuing the Economics Application Area.
• Literature
• Natural Science and Technology (Satisfied by an approved science elective) - BIO 1200 will satisfy the Natural Science and Technology General Education requirement and act as a prerequisite for students pursuing the Genomics Application Area.
• Social Science - ECN 2010 will satisfy the Social Science General Education requirement and act as a prerequisite for students pursuing the Economics or Risk Management Application Areas.
• Western Civilization (Satisfied by PHL 1310; see Additional Major Requirements)
Integration
• Knowledge Applications (satisfied by MTH 1555; see Quantitative Foundations)
U.S. Diversity
• May be met by an approved course in the Explorations area
Capstone and Writing Intensive
• Capstone (satisfied by CSI 4990; see Required Professional Subjects)
• Writing Intensive in the Major (satisfied by CSI 4990; see Required Professional Subjects)
• Writing Intensive in General Education (may be met by an approved course in the Explorations area)
Additional Major Requirements
All Data Science students must complete the following requirement. The course also satisfies the Western Civilization General Education requirement.
• Professional Ethics: PHL 1310 - Introduction to Ethics in Science and Engineering Approved science elective
Take one of the following: Required professional subjects
Professional electives
Students must complete three professional elective courses. At least two of them must be from Group A. Any remaining course can be from either Group A or Group B.
Group A Group B - Any CSI or STA designated course numbered 3000 or higher
Data Science and Computer Science Double Major
Students interested in pursuing a double major in Data Science and Computer Science are encouraged to consult with an academic adviser for a nine-semester course plan. Optional Concentration in Artificial Intelligence
The Department of Computer Science and Engineering offers an optional concentration in Artificial Intelligence to students interested in broadening their knowledge in this specific area of Data Science and wishing the area of concentration in their degree. The concentration is available to, but not required of, any student enrolled in the Bachelor of Science degree in Data Science. The concentration will be noted on the transcript of the students. The concentration must be completed as part of their degree. To complete the concentration with 128 credits, students should strategically select an application area course also to count as a general education course. Students interested in the concentration should consult an academic adviser for guidance on course selection. Please refer to the concentration requirements for more details. Major Standing
Major Standing To enroll in 3000- or higher level courses and to become candidates for the degree of Bachelor of Science with a major in Data Science, students must gain major standing. An application for major standing should be submitted prior to intended enrollment in 3000- or higher level courses. Students can obtain the major standing form from the SECS Undergraduate Advising Website. When the application for major standing is approved, students with majors of Pre-Data Science will have their major changed to Data Science. Approval of both a major standing application and change of major to Data Science is required prior to enrolling in any 3000- or higher-level courses.
To gain major standing in Data Science, students must:
• have a minimum average GPA of 2.0 in major standing courses which consist of MTH 1554, MTH 1555, STA 2226, CSI 1320, CSI 2300, CSI 2310, CSI 2810, and CSI 2999;
• have no more than two grades with C-, D+, or D in the major standing courses;
• have not attempted any major standing course more than three times; and
• have not repeated more than three different major standing courses, with courses bearing a W (withdrawal) grade not being counted.
Conditional major standing, which permits students to register for 3000- or 4000-level SECS courses, will be granted in the semester during which the student will fulfill requirements for major standing courses.
Students who have questions about petition of exception, transfer credit, academic standing, major standing, or any other aspects of their degree programs should consult an academic adviser and other relevant sections of the undergraduate catalog. Performance Requirements
Satisfactory completion of the program requires an average grade of at least 2.0 within each group: quantitative foundations and approved science elective; data science core; professional courses (including required professional subjects, professional electives, and application area courses). Within the professional courses at most two different courses may be repeated, a total of three attempts per course is permitted, and at most two grades below C are permitted. A grade of C or better in CSI 4990 (Data Science Capstone) must be received. Sample Data Science Schedule
Students entering the School of Engineering and Computer Science with the required background may follow a schedule such as the one indicated below. However, students will need additional time to complete the program if they do not have the required background upon entrance to the program. Freshman year Fall semester - 16 credits Winter semester - 16 credits Sophomore year Fall semester - 16 credits Winter semester - 18 credits Junior year Fall semester - 15 credits Winter semester - 15 credits Senior year Fall semester - 16 credits Winter semester - 16 credits |
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