Bachelor's in Electrical Engineering and Computer Sciences and Business Administration

The Bachelor of Science in Electrical Engineering and Computer Sciences and Business Administration at the University of California, Berkeley, combines advanced technical education with business strategy, preparing students to turn innovative technologies into practical solutions and business opportunities. Through the M.E.T. programme, students earn two Bachelor of Science degrees in an integrated four-year curriculum, developing expertise in computing, electrical engineering, entrepreneurship, finance, and leadership.

Curriculum Structure

First Year

Students build a strong foundation in programming, mathematics, science, and business fundamentals. Courses such as The Structure and Interpretation of Computer Programs, Data Structures, Mathematics, and Introduction to Business introduce computational thinking, mathematical problem-solving, and the principles of business. Students also begin exploring technological innovation through the M.E.T. cohort experience.

Second Year

The second year strengthens students’ technical knowledge through subjects such as Great Ideas in Computer Architecture, Discrete Mathematics and Probability Theory, Introduction to Electrical Engineering, and Physics. Students also study economics, statistics, and other breadth subjects, helping them understand how engineering, quantitative analysis, and business decisions connect.

Third Year

Students progress into upper-division EECS subjects while developing a deeper understanding of business operations, leadership, and strategic decision-making. Business courses include Microeconomic Analysis for Business Decisions, Macroeconomic Analysis for Business Decisions, and Introduction to Financial Accounting. The M.E.T. cohort course, Entrepreneurship and Strategic Growth, further encourages students to explore how technology-driven ideas can become scalable ventures.

Fourth Year

In the final year, students complete advanced EECS and engineering design requirements alongside upper-division business coursework. Subjects such as Introduction to Finance, Analytic Decision Modeling Using Spreadsheets, Leading People, and Marketing help students integrate technical knowledge with financial, analytical, and leadership skills. Upper-division electives allow students to further shape their academic interests and prepare for technology-focused careers or entrepreneurship.

Focus Areas

Electrical Engineering and Computer Sciences, Computer Programming, Data Structures and Algorithms, Computer Architecture, Electrical Engineering, Mathematics, Physics, Business Administration, Financial Accounting, Finance, Marketing, Business Analytics, Entrepreneurship, Technological Innovation, Strategic Growth, Leadership

Learning Outcomes

Develop strong programming and computational problem-solving skills, apply mathematical and scientific principles to engineering challenges, understand computer systems and electrical engineering concepts, analyse business and financial information, evaluate technology-based business opportunities, apply leadership and strategic decision-making skills, connect engineering innovation with commercial applications, develop an entrepreneurial mindset, communicate technical and business ideas effectively, work across engineering and business disciplines

Professional Alignment (Accreditation)

The programme awards two Bachelor of Science degrees through Berkeley’s College of Engineering and Haas School of Business. The official EECS undergraduate information identifies ABET accreditation historically through September 2019; current accreditation status should be confirmed with the university before listing it as active.

Reputation (Employability and Recognition)

UC Berkeley’s M.E.T. programme combines the academic resources of the College of Engineering and the Haas School of Business with a dedicated cohort, career coaching, and access to industry opportunities. The university highlights graduate career examples including software engineering roles at Google DeepMind, Microsoft, and Nuro, as well as technology investment banking and entrepreneurship. These are individual alumni examples, not a programme-wide employment rate.