Program Overview
Bachelor of Laws, Experiential Learning in Business and Technology Law (LLBel)
Overview
The LLBel program provides the opportunity to attain a Bachelors Degree in Business and Technology Law. Its comprehensive course structure addresses the worldwide demand for exceptionally skilled lawyers and legal innovators who are prepared for an ever-changing landscape of technological advancement.
Highlights
- Reimagines legal education with a new style of learning
- Emphasizes experiential learning through a variety of activities
- Provides an outstanding curriculum, complemented by valuable professional experience
- Expands knowledge beyond borders
Academic Year
The LLBel program is a full-time program with two semesters per year. The first semester runs from August to December; the second semester runs from January to May.
Career Opportunities
The program prepares students for an extensive range of careers, including law, business, government, science, and public service. In particular, they will be well-positioned to work in the business and technology sectors, as legal-tech innovators or entrepreneurs with legal expertise.
Admission
The Faculty of Law offers two application tracks: one for high school graduates and another for those who hold a bachelors degree.
- High school track:
- High school diploma or equivalent
- English proficiency (minimum of IELTS 6.5, TOEFL 79, or CU-TEP 88)
- SAT (minimum of 1200 with 500 in EBRW)
- Portfolio with personal statement
- Bachelors degree track:
- Bachelors degree
- English proficiency (minimum of IELTS 6.5, TOEFL 79, or CU-TEP 88)
- Personal statement
Application Periods
- High school track (Round 1): November December
- High school track (Round 2): February March
- International (high school and bachelors degree tracks): December May
- Bachelors degree track: January May
Program Details
- Duration: 4 years full-time
- Language: English
- Curriculum: Interdisciplinary approach blending law, business, and technology, with coursework in Economics, Accounting, and Data Science for lawyers.
