BSE Data Science

4 Years On Campus Bachelors Program

University of Michigan Ann Arbor

Program Overview

The BS in Data Science (Engineering) is an interdisciplinary program jointly administered by the Department of Electrical Engineering and Computer Science (EECS) in the College of Engineering and the Department of Statistics in the College of Literature, Science, and the Arts (LSA). The program blends rigorous foundations in computer science and statistics with hands-on experience in machine learning, data mining, and AI to extract insights from large, complex datasets.

  • Students must meet specific prerequisites before declaring the major
  • Flexible major structure allows for double majors (except with Computer Science) and most minors

Core Modules Include:

  • Computer Science: Programming, Data Structures, Algorithms

  • Statistics: Probability, Inference, Modeling

  • Data Science: Machine Learning, AI, Visualization

  • Capstone Experience: Practical projects using real-world data

  • Mathematics Foundation: Calculus, Linear Algebra

Experiential Learning (Research, Projects, Internships etc.)

  • Hands-on programming and data projects

  • Research opportunities with faculty

  • Option to pursue Sequential Undergraduate/Graduate Study (SUGS) for a combined BS/MS in 5–5.5 years

  • Involvement in data science-related student organizations and tech clubs

Progression & Future Opportunities

  • Graduates highly sought after by employers across industries including tech, finance, health, engineering, and government

  • Excellent foundation for master’s and PhD programs in Data Science, Computer Science, Statistics, or AI

  • Comprehensive academic advising and a published Program Guide support planning

Program Key Stats

$60,946
$ 75

Jan Intake : 1st OctAug Intake : 1st Feb


26 %
No
Yes

Eligibility Criteria

AAA - A*A*A
3.5 - 4.0
38 - 42
90 - 95

1350 - 1530
31 - 34
7.0
100

Additional Information & Requirements

Career Options

  • Data scientist
  • Machine learning engineer
  • AI specialist
  • Data analyst
  • Software developer
  • Research scientist
  • Graduate student in CS/Stats/Data Science

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